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      Non-equilibrium spatial dynamics of ecosystems.

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          Abstract

          Ecological systems show tremendous variability across temporal and spatial scales. It is this variability that ecologists try to predict and that managers attempt to harness in order to mitigate risk. However, the foundations of ecological science and its mainstream agenda focus on equilibrium dynamics to describe the balance of nature. Despite a rich body of literature on non-equilibrium ecological dynamics, we lack a well-developed set of predictions that can relate the spatiotemporal heterogeneity of natural systems to their underlying ecological processes. We argue that ecology needs to expand its current toolbox for the study of non-equilibrium ecosystems in order to both understand and manage their spatiotemporal variability. We review current approaches and outstanding questions related to the study of spatial dynamics and its application to natural ecosystems, including the design of reserves networks. We close by emphasizing the importance of ecosystem function as a key component of a non-equilibrium ecological theory, and of spatial synchrony as a central phenomenon for its inference in natural systems.

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          Author and article information

          Journal
          Math Biosci
          Mathematical biosciences
          Elsevier BV
          1879-3134
          0025-5564
          Sep 2014
          : 255
          Affiliations
          [1 ] Department of Biology, McGill University, 1205 Docteur Penfield, Montreal, Quebec H3A 1B1, Canada. Electronic address: fred.guichard@mcgill.ca.
          [2 ] Marine Science Center, Northeastern University, 430 Nahant Road, Nahant, MA 01908, USA. Electronic address: tarik.gouhier@gmail.com.
          Article
          S0025-5564(14)00119-9
          10.1016/j.mbs.2014.06.013
          24984261
          fd6e8a09-aad6-40a0-a7fd-285fc0949cfc
          History

          Nonlinear dynamics,Spatial dynamics,Non-equilibrium ecosystems,Ecological dynamics,Coastal ecosystems,Spatiotemporal heterogeneity

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