116
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      Parasites in food webs: the ultimate missing links

      other

      Read this article at

      ScienceOpenPublisherPMC
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Parasitism is the most common consumer strategy among organisms, yet only recently has there been a call for the inclusion of infectious disease agents in food webs. The value of this effort hinges on whether parasites affect food-web properties. Increasing evidence suggests that parasites have the potential to uniquely alter food-web topology in terms of chain length, connectance and robustness. In addition, parasites might affect food-web stability, interaction strength and energy flow. Food-web structure also affects infectious disease dynamics because parasites depend on the ecological networks in which they live. Empirically, incorporating parasites into food webs is straightforward. We may start with existing food webs and add parasites as nodes, or we may try to build food webs around systems for which we already have a good understanding of infectious processes. In the future, perhaps researchers will add parasites while they construct food webs. Less clear is how food-web theory can accommodate parasites. This is a deep and central problem in theoretical biology and applied mathematics. For instance, is representing parasites with complex life cycles as a single node equivalent to representing other species with ontogenetic niche shifts as a single node? Can parasitism fit into fundamental frameworks such as the niche model? Can we integrate infectious disease models into the emerging field of dynamic food-web modelling? Future progress will benefit from interdisciplinary collaborations between ecologists and infectious disease biologists.

          Related collections

          Most cited references94

          • Record: found
          • Abstract: not found
          • Article: not found

          Network structure and biodiversity loss in food webs: robustness increases with connectance

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Food-web structure and network theory: The role of connectance and size.

            Networks from a wide range of physical, biological, and social systems have been recently described as "small-world" and "scale-free." However, studies disagree whether ecological networks called food webs possess the characteristic path lengths, clustering coefficients, and degree distributions required for membership in these classes of networks. Our analysis suggests that the disagreements are based on selective use of relatively few food webs, as well as analytical decisions that obscure important variability in the data. We analyze a broad range of 16 high-quality food webs, with 25-172 nodes, from a variety of aquatic and terrestrial ecosystems. Food webs generally have much higher complexity, measured as connectance (the fraction of all possible links that are realized in a network), and much smaller size than other networks studied, which have important implications for network topology. Our results resolve prior conflicts by demonstrating that although some food webs have small-world and scale-free structure, most do not if they exceed a relatively low level of connectance. Although food-web degree distributions do not display a universal functional form, observed distributions are systematically related to network connectance and size. Also, although food webs often lack small-world structure because of low clustering, we identify a continuum of real-world networks including food webs whose ratios of observed to random clustering coefficients increase as a power-law function of network size over 7 orders of magnitude. Although food webs are generally not small-world, scale-free networks, food-web topology is consistent with patterns found within those classes of networks.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Population biology of infectious diseases: Part I.

              If the host population is taken to be a dynamic variable (rather than constant, as conventionally assumed), a wider understanding of the population biology of infectious diseases emerges. In this first part of a two-part article, mathematical models are developed, shown to fit data from laboratory experiments, and used to explore the evolutionary relations among transmission parameters. In the second part of the article, to be published in next week's issue, the models are extended to include indirectly transmitted infections, and the general implications for infectious diseases are considered.
                Bookmark

                Author and article information

                Journal
                Ecol Lett
                ele
                Ecology Letters
                Blackwell Publishing Ltd
                1461-023X
                1461-0248
                June 2008
                : 11
                : 6
                : 533-546
                Affiliations
                [1 ]Western Ecological Research Center, U.S. Geological Survey. c/o Marine Science Institute UC, Santa Barbara, CA 93106, USA
                [2 ]National Center for Ecological Analysis and Synthesis UC, Santa Barbara, CA 93106, USA
                [3 ]Sección Zoología Vertebrados, Facultad de Ciencias, Univ. República Uruguay, Iguá 4225 Piso 9 Sur, Montevideo, Uruguay
                [4 ]Center for Advanced Studies in Ecology and Biodiversity (CASEB) and Departamento de Ecología, Pontificia Univ. Católica de Chile Casilla 114-D, Santiago, Chile
                [5 ]Ecology, Evolution and Marine Biology UC, Santa Barbara, CA 93106, USA
                [6 ]Dipartimento di Scienze Ambientali, Univ. degli Studi di Parma 43100 Parma, Italy
                [7 ]Department of Ecology and Evolutionary Biology, Eno Hall, Princeton University Princeton, NJ 08544-1003, USA
                [8 ]Santa Fe Institute Santa Fe, NM 87501, USA
                [9 ]Pacific Ecoinformatics and Computational Ecology Lab Berkeley, CA 94703, USA
                [10 ]Ecology and Evolutionary Biology, University of Colorado Boulder, CO 80309, USA
                [11 ]Environment Canada, St Lawrence Centre 105 McGill, 7th Floor, Montreal, Quebec, Canada H2Y 2E7
                [12 ]School of Biological Sciences, University of Bristol Bristol BS8 3PZ, UK
                [13 ]University of Michigan 2045 Kraus Natural Science Bldg. 830 N. University, Ann Arbor, MI 48109-1048, USA
                [14 ]Instituto de Ecologia y Biodiversidad (IEB) Casilla 653, Santiago, Chile
                [15 ]Department of Zoology, University of Otago PO Box 56, Dunedin 9054, New Zealand
                Author notes
                * Correspondence: E-mail: lafferty@ 123456lifesci.ucsb.edu

                Reuse of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.

                Article
                10.1111/j.1461-0248.2008.01174.x
                2408649
                18462196
                e1415042-48a9-4a3c-b358-88502144f461
                © 2008 Blackwell Publishing Ltd/CNRS
                History
                : 07 February 2008
                : 09 February 2008
                : 22 February 2008
                Categories
                Ideas and Perspectives

                Ecology
                disease,food web network,parasite
                Ecology
                disease, food web network, parasite

                Comments

                Comment on this article