<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:creator>Song, Chuliang</dc:creator>
  <dc:creator>Rohr, Rudolf P.</dc:creator>
  <dc:creator>Saavedra, Serguei</dc:creator>
  <dc:date>2018</dc:date>
  <dc:description xmlns:ns0="xml" ns0:lang="en">The feasibility domain of an ecological community can be described by the set of  environmental abiotic and biotic conditions under which all co-occurring and  interacting species in a given site and time can have positive abundances.  Mathematically, the feasibility domain corresponds to the parameter space compatible  with positive (feasible) solutions at equilibrium for all the state variables in a system  under a given model of population dynamics. Under specific dynamics, the existence  of a feasible equilibrium is a necessary condition for species persistence regardless of  whether the feasible equilibrium is dynamically stable or not. Thus, the size of the  feasibility domain can also be used as an indicator of the tolerance of a community to  random environmental variations. This has motivated a rich research agenda to  estimate the feasibility domain of ecological communities. However, these  methodologies typically assume that species interactions are static, or that input and  output energy flows on each trophic level are unconstrained. Yet, this is different to  how communities behave in nature. Here, we present a step-by-step quantitative  guideline providing illustrative examples, computational code, and mathematical  proofs to study systematically the feasibility domain of ecological communities under  changes of interspecific interactions and subject to different constraints on the trophic  energy flows. This guideline covers multi-trophic communities that can be formed by  any type of interspecific interactions. Importantly, we show that the relative size of the  feasibility domain can significantly change as a function of the biological information  taken into consideration. We believe that the availability of these methods can allow  us to increase our understanding about the limits at which ecological communities  may no longer tolerate further environmental perturbations, and can facilitate a  stronger integration of theoretical and empirical research.</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>https://folia.unifr.ch/global/documents/307441</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/307441/files/roh_gsf.pdf</dc:identifier>
  <dc:identifier>https://folia.unifr.ch/documents/307441/files/roh_gsf_sm.pdf</dc:identifier>
  <dc:language>eng</dc:language>
  <dc:relation>info:eu-repo/semantics/altIdentifier/doi/10.1016/j.jtbi.2018.04.030</dc:relation>
  <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
  <dc:rights>License undefined</dc:rights>
  <dc:source>Journal of Theoretical Biology. - 2018, vol. 450, p. 30–36</dc:source>
  <dc:subject>info:eu-repo/classification/udc/57</dc:subject>
  <dc:title xmlns:ns1="xml" ns1:lang="en">A guideline to study the feasibility domain of multi-trophic and changing ecological communities</dc:title>
  <dc:type>http://purl.org/coar/resource_type/c_6501</dc:type>
</oai_dc:dc>
