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Toward an integration of evolutionary biology and ecosystem
, 2011
"... Abstract At present, the disciplines of evolutionary biology and ecosystem science are weakly integrated. As a result, we have a poor understanding of how the ecological and evolutionary processes that create, maintain, and change biological diversity affect the flux of energy and materials in glob ..."
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Abstract At present, the disciplines of evolutionary biology and ecosystem science are weakly integrated. As a result, we have a poor understanding of how the ecological and evolutionary processes that create, maintain, and change biological diversity affect the flux of energy and materials in global biogeochemical cycles. The goal of this article was to review several research fields at the interfaces between ecosystem science, community ecology and evolutionary biology, and suggest new ways to integrate evolutionary biology and ecosystem science. In particular, we focus on how phenotypic evolution by natural selection can influence ecosystem functions by affecting processes at the environmental, population and community scale of ecosystem organization. We develop an eco-evolutionary model to illustrate linkages between evolutionary change (e.g. phenotypic evolution of producer), ecological interactions (e.g. consumer grazing) and ecosystem processes (e.g. nutrient cycling). We conclude by proposing experiments to test the ecosystem consequences of evolutionary changes.
Ecophylogenetics: advances and perspectives.
- Biol. Rev.
, 2012
"... ABSTRACT Ecophylogenetics can be viewed as an emerging fusion of ecology, biogeography and macroevolution. This new and fastgrowing field is promoting the incorporation of evolution and historical contingencies into the ecological research agenda through the widespread use of phylogenetic data. Inc ..."
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ABSTRACT Ecophylogenetics can be viewed as an emerging fusion of ecology, biogeography and macroevolution. This new and fastgrowing field is promoting the incorporation of evolution and historical contingencies into the ecological research agenda through the widespread use of phylogenetic data. Including phylogeny into ecological thinking represents an opportunity for biologists from different fields to collaborate and has provided promising avenues of research in both theoretical and empirical ecology, towards a better understanding of the assembly of communities, the functioning of ecosystems and their responses to environmental changes. The time is ripe to assess critically the extent to which the integration of phylogeny into these different fields of ecology has delivered on its promise. Here we review how phylogenetic information has been used to identify better the key components of species interactions with their biotic and abiotic environments, to determine the relationships between diversity and ecosystem functioning and ultimately to establish good management practices to protect overall biodiversity in the face of global change. We evaluate the relevance of information provided by phylogenies to ecologists, highlighting current potential weaknesses and needs for future developments. We suggest
Network Evolution: Exploring the Change and Adaptation of Complex Ecological Systems Over Deep Time
, 2005
"... One of the most exciting new directions in research on food webs and ecological networks is network evolution or, in other words, the development of the struc-ture and function of ecological networks over time scales long enough for node ..."
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One of the most exciting new directions in research on food webs and ecological networks is network evolution or, in other words, the development of the struc-ture and function of ecological networks over time scales long enough for node
A HISTORY OF THE STUDY OF ECOLOGICAL NETWORKS
"... Ecology is the science of how organisms interact with each other and with their environment. Given this definition, first proposed by Haeckela (1866), a non-ecologist may suppose that the study of networks of ..."
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Ecology is the science of how organisms interact with each other and with their environment. Given this definition, first proposed by Haeckela (1866), a non-ecologist may suppose that the study of networks of
A Model of Large-Scale Evolution of Complex Food Webs
"... Abstract. A simple model of biological evolution of community food webs is introduced. This model is based on the niche model, which is known to generate model food webs that are very similar to empirical food webs. The networks evolve by speciation and extinction. Co-extinctions due to the loss of ..."
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Abstract. A simple model of biological evolution of community food webs is introduced. This model is based on the niche model, which is known to generate model food webs that are very similar to empirical food webs. The networks evolve by speciation and extinction. Co-extinctions due to the loss of all prey species are found to play a major role in determining the longterm shape of the food webs. The central aim is to design the model such that the characteristic parameters of the niche model food webs remain in realistic intervals. When the mutation rule is chosen accordingly, it is found that food webs with a complex, biologically meaningful structure emerge and that the statistics of extinction events agrees well with that observed in the paleontological data. Key words: stochastic model, food web structure, complexity, extinction record
FLEXIBLE FORAGERS IN FOOD WEBS Scaling from individuals to networks in food webs
"... Summary 1. Food webs, the set of predator-prey interactions in an ecosystem, are a prototypical complex system. Much research to date has concentrated on the use of models to identify and explain the key structural features which characterize food webs. 2. These models often fall into two general c ..."
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Summary 1. Food webs, the set of predator-prey interactions in an ecosystem, are a prototypical complex system. Much research to date has concentrated on the use of models to identify and explain the key structural features which characterize food webs. 2. These models often fall into two general categories: (i) phenomenological models which are built upon a set of heuristic rules in order to explain some empirical observation and (ii) population-level models in which interactions between individuals result in emergent properties for the food web. Both types of models have helped to uncover how food-web structure is a product of factors such as foraging behaviour, prey selection and species' body sizes. 3. Historically, the two types of models have followed rather different approaches to the problem. Despite the apparent differences, the overlap between the two styles of models is substantial. Examples are highlighted here. 4. By paying greater attention to both the similarities and differences between the two, we will be better able to demonstrate the ecological insights offered by phenomenological models. This will help us, for example, design experiments which could validate or refute underlying assumptions of the models. By linking models to data, scaling from individuals to networks, we will be closer to understanding the true origins of food-web structure.
1 Some Properties of the Speciation Model for Food-Web Structure — Mechanisms for Degree Distributions and Intervality
, 2008
"... We present a mathematical analysis of the speciation model for food-web structure, which had in previous work been shown to yield a good description of empirical data of food-web topology. The degree distributions of the network are derived. Properties of the speciation model are compared to those o ..."
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We present a mathematical analysis of the speciation model for food-web structure, which had in previous work been shown to yield a good description of empirical data of food-web topology. The degree distributions of the network are derived. Properties of the speciation model are compared to those of other models that successfully describe empirical data. It is argued that the speciation model unifies the underlying ideas of previous theories. In particular, it offers a mechanistic explanation for the success of the niche model of Williams and Martinez and the frequent observation of intervality in empirical food webs.
REV I EW AND SYNTHES I S Toward an integration of evolutionary biology and ecosystem science
"... At present, the disciplines of evolutionary biology and ecosystem science are weakly integrated. As a result, we have a poor understanding of how the ecological and evolutionary processes that create, maintain, and change biological diversity affect the flux of energy and materials in global biogeoc ..."
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At present, the disciplines of evolutionary biology and ecosystem science are weakly integrated. As a result, we have a poor understanding of how the ecological and evolutionary processes that create, maintain, and change biological diversity affect the flux of energy and materials in global biogeochemical cycles. The goal of this article was to review several research fields at the interfaces between ecosystem science, community ecology and evolutionary biology, and suggest new ways to integrate evolutionary biology and ecosystem science. In particular, we focus on how phenotypic evolution by natural selection can influence ecosystem functions by affecting processes at the environmental, population and community scale of ecosystem organization. We develop an eco-evolutionary model to illustrate linkages between evolutionary change (e.g. phenotypic evolution of producer), ecological interactions (e.g. consumer grazing) and ecosystem processes (e.g. nutrient cycling). We conclude by proposing experiments to test the ecosystem consequences of evolutionary changes.
Journal of Theoretical Biology 241 (2006) 552–563 Food webs: Experts consuming families of experts
, 2006
"... Food webs of habitats as diverse as lakes or desert valleys are known to exhibit common ‘‘food-web patterns’’, but the detailed mechanisms generating these structures have remained unclear. By employing a stochastic, dynamical model, we show that many aspects of the structure of predatory food webs ..."
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Food webs of habitats as diverse as lakes or desert valleys are known to exhibit common ‘‘food-web patterns’’, but the detailed mechanisms generating these structures have remained unclear. By employing a stochastic, dynamical model, we show that many aspects of the structure of predatory food webs can be understood as the traces of an evolutionary history where newly evolving species avoid direct competition with their relatives. The tendency to avoid sharing natural enemies (apparent competition) with related species is considerably weaker. Thus, ‘‘experts consuming families of experts’ ’ can be identified as the main underlying food-web pattern. We report the results of a systematic, quantitative model validation showing that the model is surprisingly accurate.
Journal of Theoretical Biology 2
"... lo to utò g, N 1 e 13 thr sim s f ba an d t predictions and the empirical results. These results indicate that simple models such as the generalized cascade can provide a good Dunne et al., 2002). The statistical treatment of these data dynamics of the network according to evolutionary rules and Ne ..."
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lo to utò g, N 1 e 13 thr sim s f ba an d t predictions and the empirical results. These results indicate that simple models such as the generalized cascade can provide a good Dunne et al., 2002). The statistical treatment of these data dynamics of the network according to evolutionary rules and Newman, 1985; Williams and Martinez, 2000; Cattin species or the standard deviations of generality and vulnerability, just as observed numerically (Cattin et al., 2004). Remarkably, these distributions are in good agree-ARTICLE IN PRESS Corresponding author. Departament de Fı́sica (Fı́sica Estadı́stica), ment with most of the highest quality empirical food webs in the literature, providing a general pattern of food web