Monday 31 July 2017

Best Food Website Design

Best Food Website Design

Food webs are limited representations of real ecosystems as they necessarily aggregate many species into trophic species, which are functional groups of species that have the same predators and prey in a food web. Ecologists use these simplifications in quantitative (or mathematical) models of trophic or consumer-resource systems dynamics. Using these models they can measure and test for generalized patterns in the structure of real food web networks. Ecologists have identified non-random properties in the topographic structure of food webs. Published examples that are used in meta analysis are of variable quality with omissions. However, the number of empirical studies on community webs is on the rise and the mathematical treatment of food webs using network theory had identified patterns that are common to all. Scaling laws, for example, predict a relationship between the topology of food web predator-prey linkages and levels of species richness.

food web (or food cycle) is a natural interconnection of food chains and a graphical representation (usually an image) of what-eats-what in an ecological community. Another name for food web is consumer-resource system. Ecologists can broadly lump all life forms into one of two categories called trophic levels: 1) the autotrophs, and 2) the heterotrophs. To maintain their bodies, grow, develop, and to reproduce, autotrophs produce organic matter from inorganic substances, including both minerals and gases such as carbon dioxide. These chemical reactions require energy, which mainly comes from the Sun and largely by photosynthesis, although a very small amount comes from hydrothermal vents and hot springs. A gradient exists between trophic levels running from complete autotrophs that obtain their sole source of carbon from the atmosphere, to mixotrophs (such as carnivorous plants) that are autotrophic organisms that partially obtain organic matter from sources other than the atmosphere, and complete heterotrophs that must feed to obtain organic matter. The linkages in a food web illustrate the feeding pathways, such as where heterotrophs obtain organic matter by feeding on autotrophs and other heterotrophs. The food web is a simplified illustration of the various methods of feeding that links an ecosystem into a unified system of exchange. There are different kinds of feeding relations that can be roughly divided into herbivory, carnivory, scavenging and parasitism. Some of the organic matter eaten by heterotrophs, such as sugars, provides energy. Autotrophs and heterotrophs come in all sizes, from microscopic to many tonnes - from cyanobacteria to giant redwoods, and from viruses and bdellovibrio to blue whales.

Charles Elton pioneered the concept of food cycles, food chains, and food size in his classical 1927 book "Animal Ecology"; Elton's 'food cycle' was replaced by 'food web' in a subsequent ecological text. Elton organized species into functional groups, which was the basis for Raymond Lindeman's classic and landmark paper in 1942 on trophic dynamics. Lindeman emphasized the important role of decomposer organisms in a trophic system of classification. The notion of a food web has a historical foothold in the writings of Charles Darwin and his terminology, including an "entangled bank", "web of life", "web of complex relations", and in reference to the decomposition actions of earthworms he talked about "the continued movement of the particles of earth". Even earlier, in 1768 John Bruckner described nature as "one continued web of life".

A simplified food web illustrating a three trophic food chain (producers-herbivores-carnivores) linked to decomposers. The movement of mineral nutrients is cyclic, whereas the movement of energy is unidirectional and noncyclic. Trophic species are encircled as nodes and arrows depict the links.[1][2] Food webs are the road-maps through Darwin's famous 'entangled bank' and have a long history in ecology. Like maps of unfamiliar ground, food webs appear bewilderingly complex. They were often published to make just that point. Yet recent studies have shown that food webs from a wide range of terrestrial, freshwater, and marine communities share a remarkable list of patterns.[3]:669

Links in food webs map the feeding connections (who eats whom) in an ecological community. Food cycle is an obsolete term that is synonymous with food web. Ecologists can broadly group all life forms into one of two trophic layers, the autotrophs and the heterotrophs. Autotrophs produce more biomass energy, either chemically without the sun's energy or by capturing the sun's energy in photosynthesis, than they use during metabolic respiration. Heterotrophs consume rather than produce biomass energy as they metabolize, grow, and add to levels of secondary production. A food web depicts a collection of polyphagous heterotrophic consumers that network and cycle the flow of energy and nutrients from a productive base of self-feeding autotrophs.[3][4][5]

The base or basal species in a food web are those species without prey and can include autotrophs or saprophytic detritivores (i.e., the community of decomposers in soil, biofilms, and periphyton). Feeding connections in the web are called trophic links. The number of trophic links per consumer is a measure of food web connectance. Food chains are nested within the trophic links of food webs. Food chains are linear (noncyclic) feeding pathways that trace monophagous consumers from a base species up to the top consumer, which is usually a larger predatory carnivore.[6][7][8]

Linkages connect to nodes in a food web, which are aggregates of biological taxa called trophic species. Trophic species are functional groups that have the same predators and prey in a food web. Common examples of an aggregated node in a food web might include parasites, microbes, decomposers, saprotrophs, consumers, or predators, each containing many species in a web that can otherwise be connected to other trophic species.[9][10]

A trophic pyramid (a) and a simplified community food web (b) illustrating ecological relations among creatures that are typical of a northern Boreal terrestrial ecosystem. The trophic pyramid roughly represents the biomass (usually measured as total dry-weight) at each level. Plants generally have the greatest biomass. Names of trophic categories are shown to the right of the pyramid. Some ecosystems, such as many wetlands, do not organize as a strict pyramid, because aquatic plants are not as productive as long-lived terrestrial plants such as trees. Ecological trophic pyramids are typically one of three kinds: 1) pyramid of numbers, 2) pyramid of biomass, or 3) pyramid of energy.[4]

Food webs have trophic levels and positions. Basal species, such as plants, form the first level and are the resource limited species that feed on no other living creature in the web. Basal species can be autotrophs or detritivores, including "decomposing organic material and its associated microorganisms which we defined as detritus, micro-inorganic material and associated microorganisms (MIP), and vascular plant material."[11]:94 Most autotrophs capture the sun's energy in chlorophyll, but some autotrophs (the chemolithotrophs) obtain energy by the chemical oxidation of inorganic compounds and can grow in dark environments, such as the sulfur bacterium Thiobacillus, which lives in hot sulfur springs. The top level has top (or apex) predators which no other species kills directly for its food resource needs. The intermediate levels are filled with omnivores that feed on more than one trophic level and cause energy to flow through a number of food pathways starting from a basal species.[12]

In the simplest scheme, the first trophic level (level 1) is plants, then herbivores (level 2), and then carnivores (level 3). The trophic level is equal to one more than the chain length, which is the number of links connecting to the base. The base of the food chain (primary producers or detritivores) is set at zero.[3][13] Ecologists identify feeding relations and organize species into trophic species through extensive gut content analysis of different species. The technique has been improved through the use of stable isotopes to better trace energy flow through the web.[14] It was once thought that omnivory was rare, but recent evidence suggests otherwise. This realization has made trophic classifications more complex.[15]

The trophic level concept was introduced in a historical landmark paper on trophic dynamics in 1942 by Raymond L. Lindeman. The basis of trophic dynamics is the transfer of energy from one part of the ecosystem to another.[13][16] The trophic dynamic concept has served as a useful quantitative heuristic, but it has several major limitations including the precision by which an organism can be allocated to a specific trophic level. Omnivores, for example, are not restricted to any single level. Nonetheless, recent research has found that discrete trophic levels do exist, but "above the herbivore trophic level, food webs are better characterized as a tangled web of omnivores."[15]

A central question in the trophic dynamic literature is the nature of control and regulation over resources and production. Ecologists use simplified one trophic position food chain models (producer, carnivore, decomposer). Using these models, ecologists have tested various types of ecological control mechanisms. For example, herbivores generally have an abundance of vegetative resources, which meant that their populations were largely controlled or regulated by predators. This is known as the top-down hypothesis or 'green-world' hypothesis. Alternatively to the top-down hypothesis, not all plant material is edible and the nutritional quality or antiherbivore defenses of plants (structural and chemical) suggests a bottom-up form of regulation or control.[17][18][19] Recent studies have concluded that both "top-down" and "bottom-up" forces can influence community structure and the strength of the influence is environmentally context dependent.[20][21] These complex multitrophic interactions involve more than two trophic levels in a food web.[22]

Another example of a multi-trophic interaction is a trophic cascade, in which predators help to increase plant growth and prevent overgrazing by suppressing herbivores. Links in a food-web illustrate direct trophic relations among species, but there are also indirect effects that can alter the abundance, distribution, or biomass in the trophic levels. For example, predators eating herbivores indirectly influence the control and regulation of primary production in plants. Although the predators do not eat the plants directly, they regulate the population of herbivores that are directly linked to plant trophism. The net effect of direct and indirect relations is called trophic cascades. Trophic cascades are separated into species-level cascades, where only a subset of the food-web dynamic is impacted by a change in population numbers, and community-level cascades, where a change in population numbers has a dramatic effect on the entire food-web, such as the distribution of plant biomass.[23]

Main article: Energy flow (ecology) See also: Ecological efficiency The Law of Conservation of Mass dates from Antoine Lavoisier's 1789 discovery that mass is neither created nor destroyed in chemical reactions. In other words, the mass of any one element at the beginning of a reaction will equal the mass of that element at the end of the reaction.[24]:11

Left: Energy flow diagram of a frog. The frog represents a node in an extended food web. The energy ingested is utilized for metabolic processes and transformed into biomass. The energy flow continues on its path if the frog is ingested by predators, parasites, or as a decaying carcass in soil. This energy flow diagram illustrates how energy is lost as it fuels the metabolic process that transform the energy and nutrients into biomass.
Right: An expanded three link energy food chain (1. plants, 2. herbivores, 3. carnivores) illustrating the relationship between food flow diagrams and energy transformity. The transformity of energy becomes degraded, dispersed, and diminished from higher quality to lesser quantity as the energy within a food chain flows from one trophic species into another. Abbreviations: I=input, A=assimilation, R=respiration, NU=not utilized, P=production, B=biomass.[25]

Food webs depict energy flow via trophic linkages. Energy flow is directional, which contrasts against the cyclic flows of material through the food web systems.[26] Energy flow "typically includes production, consumption, assimilation, non-assimilation losses (feces), and respiration (maintenance costs)."[5]:5 In a very general sense, energy flow (E) can be defined as the sum of metabolic production (P) and respiration (R), such that E=P+R.

Biomass represents stored energy. However, concentration and quality of nutrients and energy is variable. Many plant fibers, for example, are indigestible to many herbivores leaving grazer community food webs more nutrient limited than detrital food webs where bacteria are able to access and release the nutrient and energy stores.[27][28] "Organisms usually extract energy in the form of carbohydrates, lipids, and proteins. These polymers have a dual role as supplies of energy as well as building blocks; the part that functions as energy supply results in the production of nutrients (and carbon dioxide, water, and heat). Excretion of nutrients is, therefore, basic to metabolism."[28]:1230–1231 The units in energy flow webs are typically a measure mass or energy per m2 per unit time. Different consumers are going to have different metabolic assimilation efficiencies in their diets. Each trophic level transforms energy into biomass. Energy flow diagrams illustrate the rates and efficiency of transfer from one trophic level into another and up through the hierarchy.[29][30]

It is the case that the biomass of each trophic level decreases from the base of the chain to the top. This is because energy is lost to the environment with each transfer as entropy increases. About eighty to ninety percent of the energy is expended for the organism’s life processes or is lost as heat or waste. Only about ten to twenty percent of the organism’s energy is generally passed to the next organism.[31] The amount can be less than one percent in animals consuming less digestible plants, and it can be as high as forty percent in zooplankton consuming phytoplankton.[32] Graphic representations of the biomass or productivity at each tropic level are called ecological pyramids or trophic pyramids. The transfer of energy from primary producers to top consumers can also be characterized by energy flow diagrams.[33]

Main article: food chain

A common metric used to quantify food web trophic structure is food chain length. Food chain length is another way of describing food webs as a measure of the number of species encountered as energy or nutrients move from the plants to top predators.[34]:269 There are different ways of calculating food chain length depending on what parameters of the food web dynamic are being considered: connectance, energy, or interaction.[34] In its simplest form, the length of a chain is the number of links between a trophic consumer and the base of the web. The mean chain length of an entire web is the arithmetic average of the lengths of all chains in a food web.[35][12]

In a simple predator-prey example, a deer is one step removed from the plants it eats (chain length = 1) and a wolf that eats the deer is two steps removed from the plants (chain length = 2). The relative amount or strength of influence that these parameters have on the food web address questions about:

See also: Ecological pyramid


Top Left: A four level trophic pyramid sitting on a layer of soil and its community of decomposers. Top right: A three layer trophic pyramid linked to the biomass and energy flow concepts. Bottom: Illustration of a range of ecological pyramids, including top pyramid of numbers, middle pyramid of biomass, and bottom pyramid of energy. The terrestrial forest (summer) and the English Channel ecosystems exhibit inverted pyramids.Note: trophic levels are not drawn to scale and the pyramid of numbers excludes microorganisms and soil animals. Abbreviations: P=Producers, C1=Primary consumers, C2=Secondary consumers, C3=Tertiary consumers, S=Saprotrophs.[4]

In a pyramid of numbers, the number of consumers at each level decreases significantly, so that a single top consumer, (e.g., a polar bear or a human), will be supported by a much larger number of separate producers. There is usually a maximum of four or five links in a food chain, although food chains in aquatic ecosystems are more often longer than those on land. Eventually, all the energy in a food chain is dispersed as heat.[4]

Ecological pyramids place the primary producers at the base. They can depict different numerical properties of ecosystems, including numbers of individuals per unit of area, biomass (g/m2), and energy (k cal m−2 yr−1). The emergent pyramidal arrangement of trophic levels with amounts of energy transfer decreasing as species become further removed from the source of production is one of several patterns that is repeated amongst the planets ecosystems.[2]\[3][38] The size of each level in the pyramid generally represents biomass, which can be measured as the dry weight of an organism.[39] Autotrophs may have the highest global proportion of biomass, but they are closely rivaled or surpassed by microbes.[40][41]

Pyramid structure can vary across ecosystems and across time. In some instances biomass pyramids can be inverted. This pattern is often identified in aquatic and coral reef ecosystems. The pattern of biomass inversion is attributed to different sizes of producers. Aquatic communities are often dominated by producers that are smaller than the consumers that have high growth rates. Aquatic producers, such as planktonic algae or aquatic plants, lack the large accumulation of secondary growth as exists in the woody trees of terrestrial ecosystems. However, they are able to reproduce quickly enough to support a larger biomass of grazers. This inverts the pyramid. Primary consumers have longer lifespans and slower growth rates that accumulates more biomass than the producers they consume. Phytoplankton live just a few days, whereas the zooplankton eating the phytoplankton live for several weeks and the fish eating the zooplankton live for several consecutive years.[42] Aquatic predators also tend to have a lower death rate than the smaller consumers, which contributes to the inverted pyramidal pattern. Population structure, migration rates, and environmental refuge for prey are other possible causes for pyramids with biomass inverted. Energy pyramids, however, will always have an upright pyramid shape if all sources of food energy are included and this is dictated by the second law of thermodynamics.[4][43]

Main article: Nutrient cycle

Many of the Earth's elements and minerals (or mineral nutrients) are contained within the tissues and diets of organisms. Hence, mineral and nutrient cycles trace food web energy pathways. Ecologists employ stoichiometry to analyze the ratios of the main elements found in all organisms: carbon (C), nitrogen (N), phosphorus (P). There is a large transitional difference between many terrestrial and aquatic systems as C:P and C:N ratios are much higher in terrestrial systems while N:P ratios are equal between the two systems.[44][45][46]Mineral nutrients are the material resources that organisms need for growth, development, and vitality. Food webs depict the pathways of mineral nutrient cycling as they flow through organisms.[4][16] Most of the primary production in an ecosystem is not consumed, but is recycled by detritus back into useful nutrients.[47] Many of the Earth's microorganisms are involved in the formation of minerals in a process called biomineralization.[48][49][50] Bacteria that live in detrital sediments create and cycle nutrients and biominerals.[51] Food web models and nutrient cycles have traditionally been treated separately, but there is a strong functional connection between the two in terms of stability, flux, sources, sinks, and recycling of mineral nutrients.[52][53]

Food webs are necessarily aggregated and only illustrate a tiny portion of the complexity of real ecosystems. For example, the number of species on the planet are likely in the general order of 107, over 95% of these species consist of microbes and invertebrates, and relatively few have been named or classified by taxonomists.[54][55][56] It is explicitly understood that natural systems are 'sloppy' and that food web trophic positions simplify the complexity of real systems that sometimes overemphasize many rare interactions. Most studies focus on the larger influences where the bulk of energy transfer occurs.[17] "These omissions and problems are causes for concern, but on present evidence do not present insurmountable difficulties."[3]:669

Paleoecological studies can reconstruct fossil food-webs and trophic levels. Primary producers form the base (red spheres), predators at top (yellow spheres), the lines represent feeding links. Original food-webs (left) are simplified (right) by aggregating groups feeding on common prey into coarser grained trophic species.[57]

There are different kinds or categories of food webs:

Within these categories, food webs can be further organized according to the different kinds of ecosystems being investigated. For example, human food webs, agricultural food webs, detrital food webs, marine food webs, aquatic food webs, soil food webs, Arctic (or polar) food webs, terrestrial food webs, and microbial food webs. These characterizations stem from the ecosystem concept, which assumes that the phenomena under investigation (interactions and feedback loops) are sufficient to explain patterns within boundaries, such as the edge of a forest, an island, a shoreline, or some other pronounced physical characteristic.[59][60][61]

In a detrital web, plant and animal matter is broken down by decomposers, e.g., bacteria and fungi, and moves to detritivores and then carnivores.[62] There are often relationships between the detrital web and the grazing web. Mushrooms produced by decomposers in the detrital web become a food source for deer, squirrels, and mice in the grazing web. Earthworms eaten by robins are detritivores consuming decaying leaves.[63]

An illustration of a soil food web.

"Detritus can be broadly defined as any form of non-living organic matter, including different types of plant tissue (e.g. leaf litter, dead wood, aquatic macrophytes, algae), animal tissue (carrion), dead microbes, faeces (manure, dung, faecal pellets, guano, frass), as well as products secreted, excreted or exuded from organisms (e.g. extra-cellular polymers, nectar, root exudates and leachates, dissolved organic matter, extra-cellular matrix, mucilage). The relative importance of these forms of detritus, in terms of origin, size and chemical composition, varies across ecosystems."[47]:585

Ecologists collect data on trophic levels and food webs to statistically model and mathematically calculate parameters, such as those used in other kinds of network analysis (e.g., graph theory), to study emergent patterns and properties shared among ecosystems. There are different ecological dimensions that can be mapped to create more complicated food webs, including: species composition (type of species), richness (number of species), biomass (the dry weight of plants and animals), productivity (rates of conversion of energy and nutrients into growth), and stability (food webs over time). A food web diagram illustrating species composition shows how change in a single species can directly and indirectly influence many others. Microcosm studies are used to simplify food web research into semi-isolated units such as small springs, decaying logs, and laboratory experiments using organisms that reproduce quickly, such as daphnia feeding on algae grown under controlled environments in jars of water.[36][64]

While the complexity of real food webs connections are difficult to decipher, ecologists have found mathematical models on networks an invaluable tool for gaining insight into the structure, stability, and laws of food web behaviours relative to observable outcomes. "Food web theory centers around the idea of connectance."[65]:1648 Quantitative formulas simplify the complexity of food web structure. The number of trophic links (tL), for example, is converted into a connectance value:

C=tLS(S−1)/2{\displaystyle C={\cfrac {t_{L}}{S(S-1)/2}}},

where, S(S-1)/2 is the maximum number of binary connections among S species.[65] "Connectance (C) is the fraction of all possible links that are realized (L/S2) and represents a standard measure of food web complexity..."[66]:12913 The distance (d) between every species pair in a web is averaged to compute the mean distance between all nodes in a web (D)[66] and multiplied by the total number of links (L) to obtain link-density (LD), which is influenced by scale dependent variables such as species richness. These formulas are the basis for comparing and investigating the nature of non-random patterns in the structure of food web networks among many different types of ecosystems.[66][67]

Scaling laws, complexity, choas, and patterned correlates are common features attributed to food web structure.[68][69]

Food webs are complex. Complexity is a measure of an increasing number of permutations and it is also a metaphorical term that conveys the mental intractability or limits concerning unlimited algorithmic possibilities. In food web terminology, complexity is a product of the number of species and connectance.[70][71][72] Connectance is "the fraction of all possible links that are realized in a network".[73]:12917 These concepts were derived and stimulated through the suggestion that complexity leads to stability in food webs, such as increasing the number of trophic levels in more species rich ecosystems. This hypothesis was challenged through mathematical models suggesting otherwise, but subsequent studies have shown that the premise holds in real systems.[70][74]

At different levels in the hierarchy of life, such as the stability of a food web, "the same overall structure is maintained in spite of an ongoing flow and change of components."[75]:476 The farther a living system (e.g., ecosystem) sways from equilibrium, the greater its complexity.[75] Complexity has multiple meanings in the life sciences and in the public sphere that confuse its application as a precise term for analytical purposes in science.[72][76] Complexity in the life sciences (or biocomplexity) is defined by the "properties emerging from the interplay of behavioral, biological, physical, and social interactions that affect, sustain, or are modified by living organisms, including humans".[77]:1018

Several concepts have emerged from the study of complexity in food webs. Complexity explains many principals pertaining to self-organization, non-linearity, interaction, cybernetic feedback, discontinuity, emergence, and stability in food webs. Nestedness, for example, is defined as "a pattern of interaction in which specialists interact with species that form perfect subsets of the species with which generalists interact",[78]:575 "—that is, the diet of the most specialized species is a subset of the diet of the next more generalized species, and its diet a subset of the next more generalized, and so on."[79] Until recently, it was thought that food webs had little nested structure, but empirical evidence shows that many published webs have nested subwebs in their assembly.[80]

Food webs are complex networks. As networks, they exhibit similar structural properties and mathematical laws that have been used to describe other complex systems, such as small world and scale free properties. The small world attribute refers to the many loosely connected nodes, non-random dense clustering of a few nodes (i.e., trophic or keystone species in ecology), and small path length compared to a regular lattice.[73][81] "Ecological networks, especially mutualistic networks, are generally very heterogeneous, consisting of areas with sparse links among species and distinct areas of tightly linked species. These regions of high link density are often referred to as cliques, hubs, compartments, cohesive sub-groups, or modules...Within food webs, especially in aquatic systems, nestedness appears to be related to body size because the diets of smaller predators tend to be nested subsets of those of larger predators (Woodward & Warren 2007; YvonDurocher et al. 2008), and phylogenetic constraints, whereby related taxa are nested based on their common evolutionary history, are also evident (Cattin et al. 2004)."[82]:257 "Compartments in food webs are subgroups of taxa in which many strong interactions occur within the subgroups and few weak interactions occur between the subgroups. Theoretically, compartments increase the stability in networks, such as food webs."[58]

Food webs are also complex in the way that they change in scale, seasonally, and geographically. The components of food webs, including organisms and mineral nutrients, cross the thresholds of ecosystem boundaries. This has led to the concept or area of study known as cross-boundary subsidy.[59][60] "This leads to anomalies, such as food web calculations determining that an ecosystem can support one half of a top carnivore, without specifying which end."[61] Nonetheless, real differences in structure and function have been identified when comparing different kinds of ecological food webs, such as terrestrial vs. aquatic food webs.[83]

Victor Summerhayes and Charles Elton's 1923 food web of Bear Island (Arrows point to an organism being consumed by another organism).

Food webs serve as a framework to help ecologists organize the complex network of interactions among species observed in nature and around the world. One of the earliest descriptions of a food chain was described by a medieval Afro-Arab scholar named Al-Jahiz: "All animals, in short, cannot exist without food, neither can the hunting animal escape being hunted in his turn."[84]:143 The earliest graphical depiction of a food web was by Lorenzo Camerano in 1880, followed independently by those of Pierce and colleagues in 1912 and Victor Shelford in 1913.[85][86] Two food webs about herring were produced by Victor Summerhayes and Charles Elton[87] and Alister Hardy[88] in 1923 and 1924. Charles Elton subsequently pioneered the concept of food cycles, food chains, and food size in his classical 1927 book "Animal Ecology"; Elton's 'food cycle' was replaced by 'food web' in a subsequent ecological text.[89] After Charles Elton's use of food webs in his 1927 synthesis,[90] they became a central concept in the field of ecology. Elton[89] organized species into functional groups, which formed the basis for the trophic system of classification in Raymond Lindeman's classic and landmark paper in 1942 on trophic dynamics.[16][37][91] The notion of a food web has a historical foothold in the writings of Charles Darwin and his terminology, including an "entangled bank", "web of life", "web of complex relations", and in reference to the decomposition actions of earthworms he talked about "the continued movement of the particles of earth". Even earlier, in 1768 John Bruckner described nature as "one continued web of life".[3][92][93][94]

Interest in food webs increased after Robert Paine's experimental and descriptive study of intertidal shores[95] suggesting that food web complexity was key to maintaining species diversity and ecological stability. Many theoretical ecologists, including Sir Robert May[96] and Stuart Pimm,[97] were prompted by this discovery and others to examine the mathematical properties of food webs.

The 18th annual Webby Awards for 2014 was held at Cipriani Wall Street in New York City on May 19, 2014, which was hosted by comedian and actor Patton Oswalt.[1] The awards ceremony was streamed live at the Webby Awards website.

Lifetime Achievement was awarded to Lawrence Lessig for his work with intellectual property be co-founding Creative Commons and the person of the year was the artist Banksy.[2]

(from http://winners.webbyawards.com/2014)

Winners and nominees are generally named according to the organization or website winning the award, although the recipient is, technically, the web design firm or internal department that created the winning site and in the case of corporate websites, the designer's client. Web links are provided for informational purposes, both in the most recently available archive.org version before the awards ceremony and, where available, the current website. Many older websites no longer exist, are redirected, or have been substantially redesigned.

If you’ve already invested in a bunch of code in another framework, or if you have specific requirements that would be better served by Angular or React or something else, Predix UI is still here to help you. Jump over to our documentation site and start using the Predix UI components to speed up your work.

More reading:

Mess with demos and read more about Predix UI on our websiteRead Rob Dodson’s “The Case For Custom Elements: Part 1” and “Part 2” for some great technical and architecture info on custom elements, one half of the web component standardsRead about px-vis, Predix UI’s charting framework designed to visualize millions of streaming data points for industrial internet application

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A freshwater aquatic and terrestrial food web

A food web (or food cycle) is a natural interconnection of food chains and a graphical representation (usually an image) of what-eats-what in an ecological community. Another name for food web is consumer-resource system. Ecologists can broadly lump all life forms into one of two categories called trophic levels: 1) the autotrophs, and 2) the heterotrophs. To maintain their bodies, grow, develop, and to reproduce, autotrophs produce organic matter from inorganic substances, including both minerals and gases such as carbon dioxide. These chemical reactions require energy, which mainly comes from the Sun and largely by photosynthesis, although a very small amount comes from hydrothermal vents and hot springs. A gradient exists between trophic levels running from complete autotrophs that obtain their sole source of carbon from the atmosphere, to mixotrophs (such as carnivorous plants) that are autotrophic organisms that partially obtain organic matter from sources other than the atmosphere, and complete heterotrophs that must feed to obtain organic matter. The linkages in a food web illustrate the feeding pathways, such as where heterotrophs obtain organic matter by feeding on autotrophs and other heterotrophs. The food web is a simplified illustration of the various methods of feeding that links an ecosystem into a unified system of exchange. There are different kinds of feeding relations that can be roughly divided into herbivory, carnivory, scavenging and parasitism. Some of the organic matter eaten by heterotrophs, such as sugars, provides energy. Autotrophs and heterotrophs come in all sizes, from microscopic to many tonnes - from cyanobacteria to giant redwoods, and from viruses and bdellovibrio to blue whales.

Charles Elton pioneered the concept of food cycles, food chains, and food size in his classical 1927 book "Animal Ecology"; Elton's 'food cycle' was replaced by 'food web' in a subsequent ecological text. Elton organized species into functional groups, which was the basis for Raymond Lindeman's classic and landmark paper in 1942 on trophic dynamics. Lindeman emphasized the important role of decomposer organisms in a trophic system of classification. The notion of a food web has a historical foothold in the writings of Charles Darwin and his terminology, including an "entangled bank", "web of life", "web of complex relations", and in reference to the decomposition actions of earthworms he talked about "the continued movement of the particles of earth". Even earlier, in 1768 John Bruckner described nature as "one continued web of life".

Food webs are limited representations of real ecosystems as they necessarily aggregate many species into trophic species, which are functional groups of species that have the same predators and prey in a food web. Ecologists use these simplifications in quantitative (or mathematical) models of trophic or consumer-resource systems dynamics. Using these models they can measure and test for generalized patterns in the structure of real food web networks. Ecologists have identified non-random properties in the topographic structure of food webs. Published examples that are used in meta analysis are of variable quality with omissions. However, the number of empirical studies on community webs is on the rise and the mathematical treatment of food webs using network theory had identified patterns that are common to all. Scaling laws, for example, predict a relationship between the topology of food web predator-prey linkages and levels of species richness.

A simplified food web illustrating a three trophic food chain (producers-herbivores-carnivores) linked to decomposers. The movement of mineral nutrients is cyclic, whereas the movement of energy is unidirectional and noncyclic. Trophic species are encircled as nodes and arrows depict the links.[1][2] Food webs are the road-maps through Darwin's famous 'entangled bank' and have a long history in ecology. Like maps of unfamiliar ground, food webs appear bewilderingly complex. They were often published to make just that point. Yet recent studies have shown that food webs from a wide range of terrestrial, freshwater, and marine communities share a remarkable list of patterns.[3]:669

Links in food webs map the feeding connections (who eats whom) in an ecological community. Food cycle is an obsolete term that is synonymous with food web. Ecologists can broadly group all life forms into one of two trophic layers, the autotrophs and the heterotrophs. Autotrophs produce more biomass energy, either chemically without the sun's energy or by capturing the sun's energy in photosynthesis, than they use during metabolic respiration. Heterotrophs consume rather than produce biomass energy as they metabolize, grow, and add to levels of secondary production. A food web depicts a collection of polyphagous heterotrophic consumers that network and cycle the flow of energy and nutrients from a productive base of self-feeding autotrophs.[3][4][5]

The base or basal species in a food web are those species without prey and can include autotrophs or saprophytic detritivores (i.e., the community of decomposers in soil, biofilms, and periphyton). Feeding connections in the web are called trophic links. The number of trophic links per consumer is a measure of food web connectance. Food chains are nested within the trophic links of food webs. Food chains are linear (noncyclic) feeding pathways that trace monophagous consumers from a base species up to the top consumer, which is usually a larger predatory carnivore.[6][7][8]

Linkages connect to nodes in a food web, which are aggregates of biological taxa called trophic species. Trophic species are functional groups that have the same predators and prey in a food web. Common examples of an aggregated node in a food web might include parasites, microbes, decomposers, saprotrophs, consumers, or predators, each containing many species in a web that can otherwise be connected to other trophic species.[9][10]

A trophic pyramid (a) and a simplified community food web (b) illustrating ecological relations among creatures that are typical of a northern Boreal terrestrial ecosystem. The trophic pyramid roughly represents the biomass (usually measured as total dry-weight) at each level. Plants generally have the greatest biomass. Names of trophic categories are shown to the right of the pyramid. Some ecosystems, such as many wetlands, do not organize as a strict pyramid, because aquatic plants are not as productive as long-lived terrestrial plants such as trees. Ecological trophic pyramids are typically one of three kinds: 1) pyramid of numbers, 2) pyramid of biomass, or 3) pyramid of energy.[4]

Food webs have trophic levels and positions. Basal species, such as plants, form the first level and are the resource limited species that feed on no other living creature in the web. Basal species can be autotrophs or detritivores, including "decomposing organic material and its associated microorganisms which we defined as detritus, micro-inorganic material and associated microorganisms (MIP), and vascular plant material."[11]:94 Most autotrophs capture the sun's energy in chlorophyll, but some autotrophs (the chemolithotrophs) obtain energy by the chemical oxidation of inorganic compounds and can grow in dark environments, such as the sulfur bacterium Thiobacillus, which lives in hot sulfur springs. The top level has top (or apex) predators which no other species kills directly for its food resource needs. The intermediate levels are filled with omnivores that feed on more than one trophic level and cause energy to flow through a number of food pathways starting from a basal species.[12]

In the simplest scheme, the first trophic level (level 1) is plants, then herbivores (level 2), and then carnivores (level 3). The trophic level is equal to one more than the chain length, which is the number of links connecting to the base. The base of the food chain (primary producers or detritivores) is set at zero.[3][13] Ecologists identify feeding relations and organize species into trophic species through extensive gut content analysis of different species. The technique has been improved through the use of stable isotopes to better trace energy flow through the web.[14] It was once thought that omnivory was rare, but recent evidence suggests otherwise. This realization has made trophic classifications more complex.[15]

The trophic level concept was introduced in a historical landmark paper on trophic dynamics in 1942 by Raymond L. Lindeman. The basis of trophic dynamics is the transfer of energy from one part of the ecosystem to another.[13][16] The trophic dynamic concept has served as a useful quantitative heuristic, but it has several major limitations including the precision by which an organism can be allocated to a specific trophic level. Omnivores, for example, are not restricted to any single level. Nonetheless, recent research has found that discrete trophic levels do exist, but "above the herbivore trophic level, food webs are better characterized as a tangled web of omnivores."[15]

A central question in the trophic dynamic literature is the nature of control and regulation over resources and production. Ecologists use simplified one trophic position food chain models (producer, carnivore, decomposer). Using these models, ecologists have tested various types of ecological control mechanisms. For example, herbivores generally have an abundance of vegetative resources, which meant that their populations were largely controlled or regulated by predators. This is known as the top-down hypothesis or 'green-world' hypothesis. Alternatively to the top-down hypothesis, not all plant material is edible and the nutritional quality or antiherbivore defenses of plants (structural and chemical) suggests a bottom-up form of regulation or control.[17][18][19] Recent studies have concluded that both "top-down" and "bottom-up" forces can influence community structure and the strength of the influence is environmentally context dependent.[20][21] These complex multitrophic interactions involve more than two trophic levels in a food web.[22]

Another example of a multi-trophic interaction is a trophic cascade, in which predators help to increase plant growth and prevent overgrazing by suppressing herbivores. Links in a food-web illustrate direct trophic relations among species, but there are also indirect effects that can alter the abundance, distribution, or biomass in the trophic levels. For example, predators eating herbivores indirectly influence the control and regulation of primary production in plants. Although the predators do not eat the plants directly, they regulate the population of herbivores that are directly linked to plant trophism. The net effect of direct and indirect relations is called trophic cascades. Trophic cascades are separated into species-level cascades, where only a subset of the food-web dynamic is impacted by a change in population numbers, and community-level cascades, where a change in population numbers has a dramatic effect on the entire food-web, such as the distribution of plant biomass.[23]

Main article: Energy flow (ecology) See also: Ecological efficiency The Law of Conservation of Mass dates from Antoine Lavoisier's 1789 discovery that mass is neither created nor destroyed in chemical reactions. In other words, the mass of any one element at the beginning of a reaction will equal the mass of that element at the end of the reaction.[24]:11

Left: Energy flow diagram of a frog. The frog represents a node in an extended food web. The energy ingested is utilized for metabolic processes and transformed into biomass. The energy flow continues on its path if the frog is ingested by predators, parasites, or as a decaying carcass in soil. This energy flow diagram illustrates how energy is lost as it fuels the metabolic process that transform the energy and nutrients into biomass.
Right: An expanded three link energy food chain (1. plants, 2. herbivores, 3. carnivores) illustrating the relationship between food flow diagrams and energy transformity. The transformity of energy becomes degraded, dispersed, and diminished from higher quality to lesser quantity as the energy within a food chain flows from one trophic species into another. Abbreviations: I=input, A=assimilation, R=respiration, NU=not utilized, P=production, B=biomass.[25]

Food webs depict energy flow via trophic linkages. Energy flow is directional, which contrasts against the cyclic flows of material through the food web systems.[26] Energy flow "typically includes production, consumption, assimilation, non-assimilation losses (feces), and respiration (maintenance costs)."[5]:5 In a very general sense, energy flow (E) can be defined as the sum of metabolic production (P) and respiration (R), such that E=P+R.

Biomass represents stored energy. However, concentration and quality of nutrients and energy is variable. Many plant fibers, for example, are indigestible to many herbivores leaving grazer community food webs more nutrient limited than detrital food webs where bacteria are able to access and release the nutrient and energy stores.[27][28] "Organisms usually extract energy in the form of carbohydrates, lipids, and proteins. These polymers have a dual role as supplies of energy as well as building blocks; the part that functions as energy supply results in the production of nutrients (and carbon dioxide, water, and heat). Excretion of nutrients is, therefore, basic to metabolism."[28]:1230–1231 The units in energy flow webs are typically a measure mass or energy per m2 per unit time. Different consumers are going to have different metabolic assimilation efficiencies in their diets. Each trophic level transforms energy into biomass. Energy flow diagrams illustrate the rates and efficiency of transfer from one trophic level into another and up through the hierarchy.[29][30]

It is the case that the biomass of each trophic level decreases from the base of the chain to the top. This is because energy is lost to the environment with each transfer as entropy increases. About eighty to ninety percent of the energy is expended for the organism’s life processes or is lost as heat or waste. Only about ten to twenty percent of the organism’s energy is generally passed to the next organism.[31] The amount can be less than one percent in animals consuming less digestible plants, and it can be as high as forty percent in zooplankton consuming phytoplankton.[32] Graphic representations of the biomass or productivity at each tropic level are called ecological pyramids or trophic pyramids. The transfer of energy from primary producers to top consumers can also be characterized by energy flow diagrams.[33]

Main article: food chain

A common metric used to quantify food web trophic structure is food chain length. Food chain length is another way of describing food webs as a measure of the number of species encountered as energy or nutrients move from the plants to top predators.[34]:269 There are different ways of calculating food chain length depending on what parameters of the food web dynamic are being considered: connectance, energy, or interaction.[34] In its simplest form, the length of a chain is the number of links between a trophic consumer and the base of the web. The mean chain length of an entire web is the arithmetic average of the lengths of all chains in a food web.[35][12]

In a simple predator-prey example, a deer is one step removed from the plants it eats (chain length = 1) and a wolf that eats the deer is two steps removed from the plants (chain length = 2). The relative amount or strength of influence that these parameters have on the food web address questions about:

See also: Ecological pyramid


Top Left: A four level trophic pyramid sitting on a layer of soil and its community of decomposers. Top right: A three layer trophic pyramid linked to the biomass and energy flow concepts. Bottom: Illustration of a range of ecological pyramids, including top pyramid of numbers, middle pyramid of biomass, and bottom pyramid of energy. The terrestrial forest (summer) and the English Channel ecosystems exhibit inverted pyramids.Note: trophic levels are not drawn to scale and the pyramid of numbers excludes microorganisms and soil animals. Abbreviations: P=Producers, C1=Primary consumers, C2=Secondary consumers, C3=Tertiary consumers, S=Saprotrophs.[4]

In a pyramid of numbers, the number of consumers at each level decreases significantly, so that a single top consumer, (e.g., a polar bear or a human), will be supported by a much larger number of separate producers. There is usually a maximum of four or five links in a food chain, although food chains in aquatic ecosystems are more often longer than those on land. Eventually, all the energy in a food chain is dispersed as heat.[4]

Ecological pyramids place the primary producers at the base. They can depict different numerical properties of ecosystems, including numbers of individuals per unit of area, biomass (g/m2), and energy (k cal m−2 yr−1). The emergent pyramidal arrangement of trophic levels with amounts of energy transfer decreasing as species become further removed from the source of production is one of several patterns that is repeated amongst the planets ecosystems.[2]\[3][38] The size of each level in the pyramid generally represents biomass, which can be measured as the dry weight of an organism.[39] Autotrophs may have the highest global proportion of biomass, but they are closely rivaled or surpassed by microbes.[40][41]

Pyramid structure can vary across ecosystems and across time. In some instances biomass pyramids can be inverted. This pattern is often identified in aquatic and coral reef ecosystems. The pattern of biomass inversion is attributed to different sizes of producers. Aquatic communities are often dominated by producers that are smaller than the consumers that have high growth rates. Aquatic producers, such as planktonic algae or aquatic plants, lack the large accumulation of secondary growth as exists in the woody trees of terrestrial ecosystems. However, they are able to reproduce quickly enough to support a larger biomass of grazers. This inverts the pyramid. Primary consumers have longer lifespans and slower growth rates that accumulates more biomass than the producers they consume. Phytoplankton live just a few days, whereas the zooplankton eating the phytoplankton live for several weeks and the fish eating the zooplankton live for several consecutive years.[42] Aquatic predators also tend to have a lower death rate than the smaller consumers, which contributes to the inverted pyramidal pattern. Population structure, migration rates, and environmental refuge for prey are other possible causes for pyramids with biomass inverted. Energy pyramids, however, will always have an upright pyramid shape if all sources of food energy are included and this is dictated by the second law of thermodynamics.[4][43]

Main article: Nutrient cycle

Many of the Earth's elements and minerals (or mineral nutrients) are contained within the tissues and diets of organisms. Hence, mineral and nutrient cycles trace food web energy pathways. Ecologists employ stoichiometry to analyze the ratios of the main elements found in all organisms: carbon (C), nitrogen (N), phosphorus (P). There is a large transitional difference between many terrestrial and aquatic systems as C:P and C:N ratios are much higher in terrestrial systems while N:P ratios are equal between the two systems.[44][45][46]Mineral nutrients are the material resources that organisms need for growth, development, and vitality. Food webs depict the pathways of mineral nutrient cycling as they flow through organisms.[4][16] Most of the primary production in an ecosystem is not consumed, but is recycled by detritus back into useful nutrients.[47] Many of the Earth's microorganisms are involved in the formation of minerals in a process called biomineralization.[48][49][50] Bacteria that live in detrital sediments create and cycle nutrients and biominerals.[51] Food web models and nutrient cycles have traditionally been treated separately, but there is a strong functional connection between the two in terms of stability, flux, sources, sinks, and recycling of mineral nutrients.[52][53]

Food webs are necessarily aggregated and only illustrate a tiny portion of the complexity of real ecosystems. For example, the number of species on the planet are likely in the general order of 107, over 95% of these species consist of microbes and invertebrates, and relatively few have been named or classified by taxonomists.[54][55][56] It is explicitly understood that natural systems are 'sloppy' and that food web trophic positions simplify the complexity of real systems that sometimes overemphasize many rare interactions. Most studies focus on the larger influences where the bulk of energy transfer occurs.[17] "These omissions and problems are causes for concern, but on present evidence do not present insurmountable difficulties."[3]:669

Paleoecological studies can reconstruct fossil food-webs and trophic levels. Primary producers form the base (red spheres), predators at top (yellow spheres), the lines represent feeding links. Original food-webs (left) are simplified (right) by aggregating groups feeding on common prey into coarser grained trophic species.[57]

There are different kinds or categories of food webs:

Within these categories, food webs can be further organized according to the different kinds of ecosystems being investigated. For example, human food webs, agricultural food webs, detrital food webs, marine food webs, aquatic food webs, soil food webs, Arctic (or polar) food webs, terrestrial food webs, and microbial food webs. These characterizations stem from the ecosystem concept, which assumes that the phenomena under investigation (interactions and feedback loops) are sufficient to explain patterns within boundaries, such as the edge of a forest, an island, a shoreline, or some other pronounced physical characteristic.[59][60][61]

In a detrital web, plant and animal matter is broken down by decomposers, e.g., bacteria and fungi, and moves to detritivores and then carnivores.[62] There are often relationships between the detrital web and the grazing web. Mushrooms produced by decomposers in the detrital web become a food source for deer, squirrels, and mice in the grazing web. Earthworms eaten by robins are detritivores consuming decaying leaves.[63]

An illustration of a soil food web.

"Detritus can be broadly defined as any form of non-living organic matter, including different types of plant tissue (e.g. leaf litter, dead wood, aquatic macrophytes, algae), animal tissue (carrion), dead microbes, faeces (manure, dung, faecal pellets, guano, frass), as well as products secreted, excreted or exuded from organisms (e.g. extra-cellular polymers, nectar, root exudates and leachates, dissolved organic matter, extra-cellular matrix, mucilage). The relative importance of these forms of detritus, in terms of origin, size and chemical composition, varies across ecosystems."[47]:585

Ecologists collect data on trophic levels and food webs to statistically model and mathematically calculate parameters, such as those used in other kinds of network analysis (e.g., graph theory), to study emergent patterns and properties shared among ecosystems. There are different ecological dimensions that can be mapped to create more complicated food webs, including: species composition (type of species), richness (number of species), biomass (the dry weight of plants and animals), productivity (rates of conversion of energy and nutrients into growth), and stability (food webs over time). A food web diagram illustrating species composition shows how change in a single species can directly and indirectly influence many others. Microcosm studies are used to simplify food web research into semi-isolated units such as small springs, decaying logs, and laboratory experiments using organisms that reproduce quickly, such as daphnia feeding on algae grown under controlled environments in jars of water.[36][64]

While the complexity of real food webs connections are difficult to decipher, ecologists have found mathematical models on networks an invaluable tool for gaining insight into the structure, stability, and laws of food web behaviours relative to observable outcomes. "Food web theory centers around the idea of connectance."[65]:1648 Quantitative formulas simplify the complexity of food web structure. The number of trophic links (tL), for example, is converted into a connectance value:

C=tLS(S−1)/2{\displaystyle C={\cfrac {t_{L}}{S(S-1)/2}}},

where, S(S-1)/2 is the maximum number of binary connections among S species.[65] "Connectance (C) is the fraction of all possible links that are realized (L/S2) and represents a standard measure of food web complexity..."[66]:12913 The distance (d) between every species pair in a web is averaged to compute the mean distance between all nodes in a web (D)[66] and multiplied by the total number of links (L) to obtain link-density (LD), which is influenced by scale dependent variables such as species richness. These formulas are the basis for comparing and investigating the nature of non-random patterns in the structure of food web networks among many different types of ecosystems.[66][67]

Scaling laws, complexity, choas, and patterned correlates are common features attributed to food web structure.[68][69]

Food webs are complex. Complexity is a measure of an increasing number of permutations and it is also a metaphorical term that conveys the mental intractability or limits concerning unlimited algorithmic possibilities. In food web terminology, complexity is a product of the number of species and connectance.[70][71][72] Connectance is "the fraction of all possible links that are realized in a network".[73]:12917 These concepts were derived and stimulated through the suggestion that complexity leads to stability in food webs, such as increasing the number of trophic levels in more species rich ecosystems. This hypothesis was challenged through mathematical models suggesting otherwise, but subsequent studies have shown that the premise holds in real systems.[70][74]

At different levels in the hierarchy of life, such as the stability of a food web, "the same overall structure is maintained in spite of an ongoing flow and change of components."[75]:476 The farther a living system (e.g., ecosystem) sways from equilibrium, the greater its complexity.[75] Complexity has multiple meanings in the life sciences and in the public sphere that confuse its application as a precise term for analytical purposes in science.[72][76] Complexity in the life sciences (or biocomplexity) is defined by the "properties emerging from the interplay of behavioral, biological, physical, and social interactions that affect, sustain, or are modified by living organisms, including humans".[77]:1018

Several concepts have emerged from the study of complexity in food webs. Complexity explains many principals pertaining to self-organization, non-linearity, interaction, cybernetic feedback, discontinuity, emergence, and stability in food webs. Nestedness, for example, is defined as "a pattern of interaction in which specialists interact with species that form perfect subsets of the species with which generalists interact",[78]:575 "—that is, the diet of the most specialized species is a subset of the diet of the next more generalized species, and its diet a subset of the next more generalized, and so on."[79] Until recently, it was thought that food webs had little nested structure, but empirical evidence shows that many published webs have nested subwebs in their assembly.[80]

Food webs are complex networks. As networks, they exhibit similar structural properties and mathematical laws that have been used to describe other complex systems, such as small world and scale free properties. The small world attribute refers to the many loosely connected nodes, non-random dense clustering of a few nodes (i.e., trophic or keystone species in ecology), and small path length compared to a regular lattice.[73][81] "Ecological networks, especially mutualistic networks, are generally very heterogeneous, consisting of areas with sparse links among species and distinct areas of tightly linked species. These regions of high link density are often referred to as cliques, hubs, compartments, cohesive sub-groups, or modules...Within food webs, especially in aquatic systems, nestedness appears to be related to body size because the diets of smaller predators tend to be nested subsets of those of larger predators (Woodward & Warren 2007; YvonDurocher et al. 2008), and phylogenetic constraints, whereby related taxa are nested based on their common evolutionary history, are also evident (Cattin et al. 2004)."[82]:257 "Compartments in food webs are subgroups of taxa in which many strong interactions occur within the subgroups and few weak interactions occur between the subgroups. Theoretically, compartments increase the stability in networks, such as food webs."[58]

Food webs are also complex in the way that they change in scale, seasonally, and geographically. The components of food webs, including organisms and mineral nutrients, cross the thresholds of ecosystem boundaries. This has led to the concept or area of study known as cross-boundary subsidy.[59][60] "This leads to anomalies, such as food web calculations determining that an ecosystem can support one half of a top carnivore, without specifying which end."[61] Nonetheless, real differences in structure and function have been identified when comparing different kinds of ecological food webs, such as terrestrial vs. aquatic food webs.[83]

Victor Summerhayes and Charles Elton's 1923 food web of Bear Island (Arrows point to an organism being consumed by another organism).

Food webs serve as a framework to help ecologists organize the complex network of interactions among species observed in nature and around the world. One of the earliest descriptions of a food chain was described by a medieval Afro-Arab scholar named Al-Jahiz: "All animals, in short, cannot exist without food, neither can the hunting animal escape being hunted in his turn."[84]:143 The earliest graphical depiction of a food web was by Lorenzo Camerano in 1880, followed independently by those of Pierce and colleagues in 1912 and Victor Shelford in 1913.[85][86] Two food webs about herring were produced by Victor Summerhayes and Charles Elton[87] and Alister Hardy[88] in 1923 and 1924. Charles Elton subsequently pioneered the concept of food cycles, food chains, and food size in his classical 1927 book "Animal Ecology"; Elton's 'food cycle' was replaced by 'food web' in a subsequent ecological text.[89] After Charles Elton's use of food webs in his 1927 synthesis,[90] they became a central concept in the field of ecology. Elton[89] organized species into functional groups, which formed the basis for the trophic system of classification in Raymond Lindeman's classic and landmark paper in 1942 on trophic dynamics.[16][37][91] The notion of a food web has a historical foothold in the writings of Charles Darwin and his terminology, including an "entangled bank", "web of life", "web of complex relations", and in reference to the decomposition actions of earthworms he talked about "the continued movement of the particles of earth". Even earlier, in 1768 John Bruckner described nature as "one continued web of life".[3][92][93][94]

Interest in food webs increased after Robert Paine's experimental and descriptive study of intertidal shores[95] suggesting that food web complexity was key to maintaining species diversity and ecological stability. Many theoretical ecologists, including Sir Robert May[96] and Stuart Pimm,[97] were prompted by this discovery and others to examine the mathematical properties of food webs.

The 18th annual Webby Awards for 2014 was held at Cipriani Wall Street in New York City on May 19, 2014, which was hosted by comedian and actor Patton Oswalt.[1] The awards ceremony was streamed live at the Webby Awards website.

Lifetime Achievement was awarded to Lawrence Lessig for his work with intellectual property be co-founding Creative Commons and the person of the year was the artist Banksy.[2]

(from http://winners.webbyawards.com/2014)

Winners and nominees are generally named according to the organization or website winning the award, although the recipient is, technically, the web design firm or internal department that created the winning site and in the case of corporate websites, the designer's client. Web links are provided for informational purposes, both in the most recently available archive.org version before the awards ceremony and, where available, the current website. Many older websites no longer exist, are redirected, or have been substantially redesigned.

If you’ve already invested in a bunch of code in another framework, or if you have specific requirements that would be better served by Angular or React or something else, Predix UI is still here to help you. Jump over to our documentation site and start using the Predix UI components to speed up your work.

More reading:

Mess with demos and read more about Predix UI on our websiteRead Rob Dodson’s “The Case For Custom Elements: Part 1” and “Part 2” for some great technical and architecture info on custom elements, one half of the web component standardsRead about px-vis, Predix UI’s charting framework designed to visualize millions of streaming data points for industrial internet application

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A steam turbine with the case opened. Such turbines produce most of the electricity that people use. Electricity consumption and living standards are highly correlated.[1] Electrification is believed to be the most important engineering achievement of the 20th century. Technology ("science of craft", from Greek τέχνη, techne, "art, skill, cunning of hand"; and -λογία, -logia[2]) is the collection of techniques, skills, methods and processes used in the production of goods or services or in the accomplishment of objectives, such as scientific investigation. Technology can be the knowledge of techniques, processes, and the like, or it can be embedded in machines which can be operated without detailed knowledge of their workings. The simplest form of technology is the development and use of basic tools. The prehistoric discovery of how to control fire and the later Neolithic Revolution increased the available sources of food and the invention of the wheel helped humans to travel in and control their environment. Developments in historic times, including the printing press, the telephone, and the Internet, have lessened physical barriers to communication and allowed humans to interact freely on a global scale. The steady progress of military technology has brought weapons of ever-increasing destructive power, from clubs to nuclear weapons. Technology has many effects. It has helped develop more advanced economies (including today's global economy) and has allowed the rise of a leisure class. Many technological processes produce unwanted by-products known as pollution and deplete natural resources to the detriment of Earth's environment. Innovations have always influenced the values of a society and raised new questions of the ethics of technology. Examples include the rise of the notion of efficiency in terms of human productivity, and the challenges of bioethics. Philosophical debates have arisen over the use of technology, with disagreements over whether technology improves the human condition or worsens it. Neo-Luddism, anarcho-primitivism, and similar reactionary movements criticise the pervasiveness of technology, arguing that it harms the environment and alienates people; proponents of ideologies such as transhumanism and techno-progressivism view continued technological progress as beneficial to society and the human condition. The spread of paper and printing to the West, as in this printing press, helped scientists and politicians communicate their ideas easily, leading to the Age of Enlightenment; an example of technology as cultural force. The use of the term "technology" has changed significantly over the last 200 years. Before the 20th century, the term was uncommon in English, and usually referred to the description or study of the useful arts.[3] The term was often connected to technical education, as in the Massachusetts Institute of Technology (chartered in 1861).[4] The term "technology" rose to prominence in the 20th century in connection with the Second Industrial Revolution. The term's meanings changed in the early 20th century when American social scientists, beginning with Thorstein Veblen, translated ideas from the German concept of Technik into "technology." In German and other European languages, a distinction exists between technik and technologie that is absent in English, which usually translates both terms as "technology." By the 1930s, "technology" referred not only to the study of the industrial arts but to the industrial arts themselves.[5] In 1937, the American sociologist Read Bain wrote that "technology includes all tools, machines, utensils, weapons, instruments, housing, clothing, communicating and transporting devices and the skills by which we produce and use them."[6] Bain's definition remains common among scholars today, especially social scientists. Scientists and engineers usually prefer to define technology as applied science, rather than as the things that people make and use.[7] More recently, scholars have borrowed from European philosophers of "technique" to extend the meaning of technology to various forms of instrumental reason, as in Foucault's work on technologies of the self (techniques de soi). Dictionaries and scholars have offered a variety of definitions. The Merriam-Webster Learner's Dictionary offers a definition of the term: "the use of science in industry, engineering, etc., to invent useful things or to solve problems" and "a machine, piece of equipment, method, etc., that is created by technology."[8] Ursula Franklin, in her 1989 "Real World of Technology" lecture, gave another definition of the concept; it is "practice, the way we do things around here."[9] The term is often used to imply a specific field of technology, or to refer to high technology or just consumer electronics, rather than technology as a whole.[10] Bernard Stiegler, in Technics and Time, 1, defines technology in two ways: as "the pursuit of life by means other than life," and as "organized inorganic matter."[11] Technology can be most broadly defined as the entities, both material and immaterial, created by the application of mental and physical effort in order to achieve some value. In this usage, technology refers to tools and machines that may be used to solve real-world problems. It is a far-reaching term that may include simple tools, such as a crowbar or wooden spoon, or more complex machines, such as a space station or particle accelerator. Tools and machines need not be material; virtual technology, such as computer software and business methods, fall under this definition of technology.[12] W. Brian Arthur defines technology in a similarly broad way as "a means to fulfill a human purpose."[13] The word "technology" can also be used to refer to a collection of techniques. In this context, it is the current state of humanity's knowledge of how to combine resources to produce desired products, to solve problems, fulfill needs, or satisfy wants; it includes technical methods, skills, processes, techniques, tools and raw materials. When combined with another term, such as "medical technology" or "space technology," it refers to the state of the respective field's knowledge and tools. "State-of-the-art technology" refers to the high technology available to humanity in any field. The invention of integrated circuits and the microprocessor (here, an Intel 4004 chip from 1971) led to the modern computer revolution. Technology can be viewed as an activity that forms or changes culture.[14] Additionally, technology is the application of math, science, and the arts for the benefit of life as it is known. A modern example is the rise of communication technology, which has lessened barriers to human interaction and as a result has helped spawn new subcultures; the rise of cyberculture has at its basis the development of the Internet and the computer.[15] Not all technology enhances culture in a creative way; technology can also help facilitate political oppression and war via tools such as guns. As a cultural activity, technology predates both science and engineering, each of which formalize some aspects of technological endeavor.

Antoine Lavoisier conducting an experiment with combustion generated by amplified sun light The distinction between science, engineering, and technology is not always clear. Science is systematic knowledge of the physical or material world gained through observation and experimentation.[16] Technologies are not usually exclusively products of science, because they have to satisfy requirements such as utility, usability, and safety. Engineering is the goal-oriented process of designing and making tools and systems to exploit natural phenomena for practical human means, often (but not always) using results and techniques from science. The development of technology may draw upon many fields of knowledge, including scientific, engineering, mathematical, linguistic, and historical knowledge, to achieve some practical result. Technology is often a consequence of science and engineering, although technology as a human activity precedes the two fields. For example, science might study the flow of electrons in electrical conductors by using already-existing tools and knowledge. This new-found knowledge may then be used by engineers to create new tools and machines such as semiconductors, computers, and other forms of advanced technology. In this sense, scientists and engineers may both be considered technologists; the three fields are often considered as one for the purposes of research and reference.[17] The exact relations between science and technology in particular have been debated by scientists, historians, and policymakers in the late 20th century, in part because the debate can inform the funding of basic and applied science. In the immediate wake of World War II, for example, it was widely considered in the United States that technology was simply "applied science" and that to fund basic science was to reap technological results in due time. An articulation of this philosophy could be found explicitly in Vannevar Bush's treatise on postwar science policy, Science – The Endless Frontier: "New products, new industries, and more jobs require continuous additions to knowledge of the laws of nature ... This essential new knowledge can be obtained only through basic scientific research."[18] In the late-1960s, however, this view came under direct attack, leading towards initiatives to fund science for specific tasks (initiatives resisted by the scientific community).

The issue remains contentious, though most analysts resist the model that technology simply is a result of scientific research.[19][20] Main articles: History of technology, Timeline of historic inventions, and Timeline of electrical and electronic engineering A primitive chopper Further information: Outline of prehistoric technology The use of tools by early humans was partly a process of discovery and of evolution. Early humans evolved from a species of foraging hominids which were already bipedal,[21] with a brain mass approximately one third of modern humans.[22] Tool use remained relatively unchanged for most of early human history. Approximately 50,000 years ago, the use of tools and complex set of behaviors emerged, believed by many archaeologists to be connected to the emergence of fully modern language.[23] Hand axes from the Acheulian period A Clovis point, made via pressure flaking Hominids started using primitive stone tools millions of years ago. The earliest stone tools were little more than a fractured rock, but approximately 75,000 years ago,[24] pressure flaking provided a way to make much finer work. Main article: Control of fire by early humans The discovery and utilization of fire, a simple energy source with many profound uses, was a turning point in the technological evolution of humankind.[25] The exact date of its discovery is not known; evidence of burnt animal bones at the Cradle of Humankind suggests that the domestication of fire occurred before 1 Ma;[26] scholarly consensus indicates that Homo erectus had controlled fire by between 500 and 400 ka.[27][28] Fire, fueled with wood and charcoal, allowed early humans to cook their food to increase its digestibility, improving its nutrient value and broadening the number of foods that could be eaten.[29] Other technological advances made during the Paleolithic era were clothing and shelter; the adoption of both technologies cannot be dated exactly, but they were a key to humanity's progress. As the Paleolithic era progressed, dwellings became more sophisticated and more elaborate; as early as 380 ka, humans were constructing temporary wood huts.[30][31] Clothing, adapted from the fur and hides of hunted animals, helped humanity expand into colder regions; humans began to migrate out of Africa by 200 ka and into other continents such as Eurasia.[32] An array of Neolithic artifacts, including bracelets, axe heads, chisels, and polishing tools Human's technological ascent began in earnest in what is known as the Neolithic Period ("New Stone Age"). The invention of polished stone axes was a major advance that allowed forest clearance on a large scale to create farms. This use of polished stone axes increased greatly in the Neolithic, but were originally used in the preceding Mesolithic in some areas such as Ireland.[33] Agriculture fed larger populations, and the transition to sedentism allowed simultaneously raising more children, as infants no longer needed to be carried, as nomadic ones must. Additionally, children could contribute labor to the raising of crops more readily than they could to the hunter-gatherer economy.[34][35] With this increase in population and availability of labor came an increase in labor specialization.[36] What triggered the progression from early Neolithic villages to the first cities, such as Uruk, and the first civilizations, such as Sumer, is not specifically known; however, the emergence of increasingly hierarchical social structures and specialized labor, of trade and war amongst adjacent cultures, and the need for collective action to overcome environmental challenges such as irrigation, are all thought to have played a role.[37] Continuing improvements led to the furnace and bellows and provided the ability to smelt and forge native metals (naturally occurring in relatively pure form).[38] Gold, copper, silver, and lead, were such early metals.

The advantages of copper tools over stone, bone, and wooden tools were quickly apparent to early humans, and native copper was probably used from near the beginning of Neolithic times (about 10 ka).[39] Native copper does not naturally occur in large amounts, but copper ores are quite common and some of them produce metal easily when burned in wood or charcoal fires. Eventually, the working of metals led to the discovery of alloys such as bronze and brass (about 4000 BCE). The first uses of iron alloys such as steel dates to around 1800 BCE.[40][41] The wheel was invented circa 4000 BCE. Main article: History of transport Meanwhile, humans were learning to harness other forms of energy. The earliest known use of wind power is the sailboat; the earliest record of a ship under sail is that of a Nile boat that dates back to the 8th millennium BCE.[42] From prehistoric times, Egyptians probably used the power of the annual flooding of the Nile to irrigate their lands, gradually learning to regulate much of it through purposely built irrigation channels and "catch" basins. Similarly, the early peoples of Mesopotamia, the Sumerians, learned to use the Tigris and Euphrates Rivers for much the same purposes. However, more extensive use of wind and water (and even human) power required another invention. According to archaeologists, the wheel was invented around 4000 BCE probably independently and nearly simultaneously in Mesopotamia (in present-day Iraq), the Northern Caucasus (Maykop culture) and Central Europe.[43] Estimates on when this may have occurred range from 5500 to 3000 BCE with most experts putting it closer to 4000 BCE.[44] The oldest artifacts with drawings that depict wheeled carts date from about 3500 BCE;[45] however, the wheel may have been in use for millennia before these drawings were made. There is also evidence from the same period for the use of the potter's wheel. More recently, the oldest-known wooden wheel in the world was found in the Ljubljana marshes of Slovenia.[46] The invention of the wheel revolutionized trade and war. It did not take long to discover that wheeled wagons could be used to carry heavy loads. Fast (rotary) potters' wheels enabled early mass production of pottery, but it was the use of the wheel as a transformer of energy (through water wheels, windmills, and even treadmills) that revolutionized the application of nonhuman power sources.

Main articles: Medieval technology, Renaissance technology, Industrial Revolution, Second Industrial Revolution, Information Technology, and Productivity improving technologies (economic history) Innovations continued through the Middle Ages with innovations such as silk, the horse collar and horseshoes in the first few hundred years after the fall of the Roman Empire. Medieval technology saw the use of simple machines (such as the lever, the screw, and the pulley) being combined to form more complicated tools, such as the wheelbarrow, windmills and clocks. The Renaissance brought forth many of these innovations, including the printing press (which facilitated the greater communication of knowledge), and technology became increasingly associated with science, beginning a cycle of mutual advancement. The advancements in technology in this era allowed a more steady supply of food, followed by the wider availability of consumer goods. The automobile revolutionized personal transportation. Starting in the United Kingdom in the 18th century, the Industrial Revolution was a period of great technological discovery, particularly in the areas of agriculture, manufacturing, mining, metallurgy, and transport, driven by the discovery of steam power. Technology took another step in a second industrial revolution with the harnessing of electricity to create such innovations as the electric motor, light bulb, and countless others. Scientific advancement and the discovery of new concepts later allowed for powered flight and advancements in medicine, chemistry, physics, and engineering. The rise in technology has led to skyscrapers and broad urban areas whose inhabitants rely on motors to transport them and their food supply. Communication was also greatly improved with the invention of the telegraph, telephone, radio and television. The late 19th and early 20th centuries saw a revolution in transportation with the invention of the airplane and automobile. F-15 and F-16 flying over Kuwaiti oil fires during the Gulf War in 1991. The 20th century brought a host of innovations. In physics, the discovery of nuclear fission has led to both nuclear weapons and nuclear power. Computers were also invented and later miniaturized utilizing transistors and integrated circuits. Information technology subsequently led to the creation of the Internet, which ushered in the current Information Age. Humans have also been able to explore space with satellites (later used for telecommunication) and in manned missions going all the way to the moon. In medicine, this era brought innovations such as open-heart surgery and later stem cell therapy along with new medications and treatments. Complex manufacturing and construction techniques and organizations are needed to make and maintain these new technologies, and entire industries have arisen to support and develop succeeding generations of increasingly more complex tools. Modern technology increasingly relies on training and education – their designers, builders, maintainers, and users often require sophisticated general and specific training. Moreover, these technologies have become so complex that entire fields have been created to support them, including engineering, medicine, and computer science, and other fields have been made more complex, such as construction, transportation and architecture. Generally, technicism is the belief in the utility of technology for improving human societies.[47] Taken to an extreme, technicism "reflects a fundamental attitude which seeks to control reality, to resolve all problems with the use of scientific-technological methods and tools."[48] In other words, human beings will someday be able to master all problems and possibly even control the future using technology. Some, such as Stephen V. Monsma,[49] connect these ideas to the abdication of religion as a higher moral authority.

See also: Extropianism Optimistic assumptions are made by proponents of ideologies such as transhumanism and singularitarianism, which view technological development as generally having beneficial effects for the society and the human condition. In these ideologies, technological development is morally good. Transhumanists generally believe that the point of technology is to overcome barriers, and that what we commonly refer to as the human condition is just another barrier to be surpassed. Singularitarians believe in some sort of "accelerating change"; that the rate of technological progress accelerates as we obtain more technology, and that this will culminate in a "Singularity" after artificial general intelligence is invented in which progress is nearly infinite; hence the term. Estimates for the date of this Singularity vary,[50] but prominent futurist Ray Kurzweil estimates the Singularity will occur in 2045. Kurzweil is also known for his history of the universe in six epochs: (1) the physical/chemical epoch, (2) the life epoch, (3) the human/brain epoch, (4) the technology epoch, (5) the artificial intelligence epoch, and (6) the universal colonization epoch. Going from one epoch to the next is a Singularity in its own right, and a period of speeding up precedes it. Each epoch takes a shorter time, which means the whole history of the universe is one giant Singularity event.[51] Some critics see these ideologies as examples of scientism and techno-utopianism and fear the notion of human enhancement and technological singularity which they support.

Some have described Karl Marx as a techno-optimist.[52] See also: Luddite, Neo-Luddism, Anarcho-primitivism, and Bioconservatism Luddites smashing a power loom in 1812 On the somewhat skeptical side are certain philosophers like Herbert Marcuse and John Zerzan, who believe that technological societies are inherently flawed. They suggest that the inevitable result of such a society is to become evermore technological at the cost of freedom and psychological health. Many, such as the Luddites and prominent philosopher Martin Heidegger, hold serious, although not entirely, deterministic reservations about technology (see "The Question Concerning Technology"[53]). According to Heidegger scholars Hubert Dreyfus and Charles Spinosa, "Heidegger does not oppose technology. He hopes to reveal the essence of technology in a way that 'in no way confines us to a stultified compulsion to push on blindly with technology or, what comes to the same thing, to rebel helplessly against it.' Indeed, he promises that 'when we once open ourselves expressly to the essence of technology, we find ourselves unexpectedly taken into a freeing claim.'[54] What this entails is a more complex relationship to technology than either techno-optimists or techno-pessimists tend to allow."[55] Some of the most poignant criticisms of technology are found in what are now considered to be dystopian literary classics such as Aldous Huxley's Brave New World, Anthony Burgess's A Clockwork Orange, and George Orwell's Nineteen Eighty-Four. In Goethe's Faust, Faust selling his soul to the devil in return for power over the physical world is also often interpreted as a metaphor for the adoption of industrial technology. More recently, modern works of science fiction such as those by Philip K. Dick and William Gibson and films such as Blade Runner and Ghost in the Shell project highly ambivalent or cautionary attitudes toward technology's impact on human society and identity. The late cultural critic Neil Postman distinguished tool-using societies from technological societies and from what he called "technopolies," societies that are dominated by the ideology of technological and scientific progress to the exclusion or harm of other cultural practices, values and world-views.[56] Darin Barney has written about technology's impact on practices of citizenship and democratic culture, suggesting that technology can be construed as (1) an object of political debate, (2) a means or medium of discussion, and (3) a setting for democratic deliberation and citizenship. As a setting for democratic culture, Barney suggests that technology tends to make ethical questions, including the question of what a good life consists in, nearly impossible, because they already give an answer to the question: a good life is one that includes the use of more and more technology.[57] Nikolas Kompridis has also written about the dangers of new technology, such as genetic engineering, nanotechnology, synthetic biology, and robotics. He warns that these technologies introduce unprecedented new challenges to human beings, including the possibility of the permanent alteration of our biological nature. These concerns are shared by other philosophers, scientists and public intellectuals who have written about similar issues (e.g. Francis Fukuyama, Jürgen Habermas, William Joy, and Michael Sandel).[58] Another prominent critic of technology is Hubert Dreyfus, who has published books such as On the Internet and What Computers Still Can't Do.

A more infamous anti-technological treatise is Industrial Society and Its Future, written by the Unabomber Ted Kaczynski and printed in several major newspapers (and later books) as part of an effort to end his bombing campaign of the techno-industrial infrastructure. See also: Technocriticism and Technorealism The notion of appropriate technology was developed in the 20th century by thinkers such as E. F. Schumacher and Jacques Ellul to describe situations where it was not desirable to use very new technologies or those that required access to some centralized infrastructure or parts or skills imported from elsewhere. The ecovillage movement emerged in part due to this concern. This section mainly focuses on American concerns even if it can reasonably be generalized to other Western countries. The inadequate quantity and quality of American jobs is one of the most fundamental economic challenges we face. [...] What's the linkage between technology and this fundamental problem? — Bernstein, Jared, "It’s Not a Skills Gap That’s Holding Wages Down: It’s the Weak Economy, Among Other Things," in The American Prospect, October 2014 In his article, Jared Bernstein, a Senior Fellow at the Center on Budget and Policy Priorities,[59] questions the widespread idea that automation, and more broadly, technological advances, have mainly contributed to this growing labor market problem. His thesis appears to be a third way between optimism and skepticism. Essentially, he stands for a neutral approach of the linkage between technology and American issues concerning unemployment and declining wages. He uses two main arguments to defend his point. First, because of recent technological advances, an increasing number of workers are losing their jobs. Yet, scientific evidence fails to clearly demonstrate that technology has displaced so many workers that it has created more problems than it has solved. Indeed, automation threatens repetitive jobs but higher-end jobs are still necessary because they complement technology and manual jobs that "requires flexibility judgment and common sense"[60] remain hard to replace with machines. Second, studies have not shown clear links between recent technology advances and the wage trends of the last decades. Therefore, according to Bernstein, instead of focusing on technology and its hypothetical influences on current American increasing unemployment and declining wages, one needs to worry more about "bad policy that fails to offset the imbalances in demand, trade, income and opportunity."[60] Thomas P. Hughes stated that because technology has been considered as a key way to solve problems, we need to be aware of its complex and varied characters to use it more efficiently.[61] What is the difference between a wheel or a compass and cooking machines such as an oven or a gas stove? Can we consider all of them, only a part of them, or none of them as technologies? Technology is often considered too narrowly; according to Hughes, "Technology is a creative process involving human ingenuity.[62] This definition's emphasis on creativity avoids unbounded definitions that may mistakenly include cooking “technologies," but it also highlights the prominent role of humans and therefore their responsibilities for the use of complex technological systems. Yet, because technology is everywhere and has dramatically changed landscapes and societies, Hughes argues that engineers, scientists, and managers have often believed that they can use technology to shape the world as they want.

They have often supposed that technology is easily controllable and this assumption has to be thoroughly questioned.[61] For instance, Evgeny Morozov particularly challenges two concepts: “Internet-centrism” and “solutionism."[63] Internet-centrism refers to the idea that our society is convinced that the Internet is one of the most stable and coherent forces. Solutionism is the ideology that every social issue can be solved thanks to technology and especially thanks to the internet. In fact, technology intrinsically contains uncertainties and limitations. According to Alexis Madrigal's review of Morozov's theory, to ignore it will lead to “unexpected consequences that could eventually cause more damage than the problems they seek to address."[64] Benjamin R. Cohen and Gwen Ottinger also discussed the multivalent effects of technology.[65] Therefore, recognition of the limitations of technology, and more broadly, scientific knowledge, is needed – especially in cases dealing with environmental justice and health issues. Ottinger continues this reasoning and argues that the ongoing recognition of the limitations of scientific knowledge goes hand in hand with scientists and engineers’ new comprehension of their role. Such an approach of technology and science "[require] technical professionals to conceive of their roles in the process differently. [They have to consider themselves as] collaborators in research and problem solving rather than simply providers of information and technical solutions."[66] Technology is properly defined as any application of science to accomplish a function. The science can be leading edge or well established and the function can have high visibility or be significantly more mundane, but it is all technology, and its exploitation is the foundation of all competitive advantage. Technology-based planning is what was used to build the US industrial giants before WWII (e.g., Dow, DuPont, GM) and it is what was used to transform the US into a superpower. It was not economic-based planning. See also: Tool use by animals, Structures built by animals, and Ecosystem engineer This adult gorilla uses a branch as a walking stick to gauge the water's depth, an example of technology usage by non-human primates. The use of basic technology is also a feature of other animal species apart from humans. These include primates such as chimpanzees,[67] some dolphin communities,[68] and crows.[69][70] Considering a more generic perspective of technology as ethology of active environmental conditioning and control, we can also refer to animal examples such as beavers and their dams, or bees and their honeycombs. The ability to make and use tools was once considered a defining characteristic of the genus Homo.[71] However, the discovery of tool construction among chimpanzees and related primates has discarded the notion of the use of technology as unique to humans. For example, researchers have observed wild chimpanzees utilising tools for foraging: some of the tools used include leaf sponges, termite fishing probes, pestles and levers.[72] West African chimpanzees also use stone hammers and anvils for cracking nuts,[73] as do capuchin monkeys of Boa Vista, Brazil.[74] Main article: Emerging technologies Theories of technology often attempt to predict the future of technology based on the high technology and science of the time. As with all predictions of the future, however, technology's is uncertain. Futurist Ray Kurzweil predicts that the future of technology will be mainly consist of an overlapping "GNR Revolution" of Genetics, Nanotechnology, and Robotics, with robotics being the most important of the three.[75] Main article: Outline of technology Theories and concepts in technology Economics of technology Technology journalism Other Find more aboutTechnologyat Wikipedia's sister projects Content is like water, a saying that illustrates the principles of RWD An example of how various elements of a web page adapt to the screen size of different devices such as the display of a desktop computer, tablet PC and a smartphone Responsive web design (RWD) is an approach to web design aimed at allowing desktop webpages to be viewed in response to the size of the screen or web browser one is viewing with.

In addition it's important to understand that Responsive Web Design tasks include offering the same support to a variety of devices for a single website. Recent work also considers the viewer proximity as part of the viewing context as an extension for RWD[1]. As mentioned by the Nielsen Norman Group: content, design and performance are necessary across all devices to ensure usability and satisfaction.[2][3][4][5] A site designed with RWD[2][6] adapts the layout to the viewing environment by using fluid, proportion-based grids,[7][8] flexible images,[9][10][11] and CSS3 media queries,[4][12][13] an extension of the @media rule, in the following ways:[14] Responsive web design has become more important as the amount of mobile traffic now accounts for more than half of total internet traffic.[15] Therefore, Google announced Mobilegeddon in 2015, and started to boost the ratings of sites that are mobile friendly if the search was made from a mobile device.[16] Responsive web design is an example of user interface plasticity.[17] "Mobile first", unobtrusive JavaScript, and progressive enhancement are related concepts that predate RWD.[18] Browsers of basic mobile phones do not understand JavaScript or media queries, so a recommended practice is to create a basic web site and enhance it for smart phones and PCs, rather than rely on graceful degradation to make a complex, image-heavy site work on mobile phones.[19][20][21][22] Where a web site must support basic mobile devices that lack JavaScript, browser ("user agent") detection (also called "browser sniffing") and mobile device detection[20][23] are two ways of deducing if certain HTML and CSS features are supported (as a basis for progressive enhancement)—however, these methods are not completely reliable unless used in conjunction with a device capabilities database. For more capable mobile phones and PCs, JavaScript frameworks like Modernizr, jQuery, and jQuery Mobile that can directly test browser support for HTML/CSS features (or identify the device or user agent) are popular. Polyfills can be used to add support for features—e.g. to support media queries (required for RWD), and enhance HTML5 support, on Internet Explorer. Feature detection also might not be completely reliable; some may report that a feature is available, when it is either missing or so poorly implemented that it is effectively nonfunctional.[24][25] Luke Wroblewski has summarized some of the RWD and mobile design challenges, and created a catalog of multi-device layout patterns.[26][27][28] He suggests that, compared with a simple RWD approach, device experience or RESS (responsive web design with server-side components) approaches can provide a user experience that is better optimized for mobile devices.[29][30][31] Server-side "dynamic CSS" implementation of stylesheet languages like Sass or Incentivated's MML can be part of such an approach by accessing a server based API which handles the device (typically mobile handset) differences in conjunction with a device capabilities database in order to improve usability.[32] RESS is more expensive to develop, requiring more than just client-side logic, and so tends to be reserved for organizations with larger budgets. Google recommends responsive design for smartphone websites over other approaches.[33] Although many publishers are starting to implement responsive designs, one ongoing challenge for RWD is that some banner advertisements and videos are not fluid.[34] However, search advertising and (banner) display advertising support specific device platform targeting and different advertisement size formats for desktop, smartphone, and basic mobile devices. Different landing page URLs can be used for different platforms,[35] or Ajax can be used to display different advertisement variants on a page.[23][27][36] CSS tables permit hybrid fixed+fluid layouts.[37] There are now many ways of validating and testing RWD designs,[38] ranging from mobile site validators and mobile emulators[39] to simultaneous testing tools like Adobe Edge Inspect.[40] The Chrome, Firefox and Safari browsers and the Chrome console offer responsive design viewport resizing tools, as do third parties.[41][42] Use cases of RWD will now expand further with increased mobile usage; according to Statista, organic search engine visits in the US coming from mobile devices has hit 51% and are increasing.[43] The first site to feature a layout that adapts to browser viewport width was Audi.com launched in late 2001,[44] created by a team at razorfish consisting of Jürgen Spangl and Jim Kalbach (information architecture), Ken Olling (design), and Jan Hoffmann (interface development). Limited browser capabilities meant that for Internet Explorer, the layout could adapt dynamically in the browser whereas for Netscape, the page had to be reloaded from the server when resized. Cameron Adams created a demonstration in 2004 that is still online.[45] By 2008, a number of related terms such as "flexible", "liquid",[46] "fluid", and "elastic" were being used to describe layouts.

CSS3 media queries were almost ready for prime time in late 2008/early 2009.[47] Ethan Marcotte coined the term responsive web design[48] (RWD)—and defined it to mean fluid grid/ flexible images/ media queries—in a May 2010 article in A List Apart.[2] He described the theory and practice of responsive web design in his brief 2011 book titled Responsive Web Design. Responsive design was listed as #2 in Top Web Design Trends for 2012 by .net magazine[49] after progressive enhancement at #1. Mashable called 2013 the Year of Responsive Web Design.[50] Many other sources have recommended responsive design as a cost-effective alternative to mobile applications.If you’ve already invested in a bunch of code in another framework, or if you have specific requirements that would be better served by Angular or React or something else, Predix UI is still here to help you. Jump over to our documentation site and start using the Predix UI components to speed up your work.

More reading:

Mess with demos and read more about Predix UI on our websiteRead Rob Dodson’s “The Case For Custom Elements: Part 1” and “Part 2” for some great technical and architecture info on custom elements, one half of the web component standardsRead about px-vis, Predix UI’s charting framework designed to visualize millions of streaming data points for industrial internet application

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Contact Details

404, B-70, Nitin Shanti Nagar Building,

Sector-1, Near Mira Road Station, 

Opp. TMT Bus Stop, 

Thane – 401107

NGO Website Designing 


Troika Tech Services


WordPress Development Company in Mumbai