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Evolving biodiversity patterns in changing river networks.
Muneepeerakul, Rachata; Bertuzzo, Enrico; Rinaldo, Andrea; Rodriguez-Iturbe, Ignacio.
Affiliation
  • Muneepeerakul R; University of Florida, Department of Agricultural & Biological Engineering, Gainesville, Florida 32605, USA. Electronic address: rmuneepe@ufl.edu.
  • Bertuzzo E; University of Venice Cà Foscari, Department of Environmental Sciences, Informatics & Statistics, Venice 30170, Italy.
  • Rinaldo A; Ecole Polytechnique Fédérale de Lausanne, Laboratory of Ecohydrology, CH-1015 Lausanne, Switzerland.
  • Rodriguez-Iturbe I; Texas A&M University, Department of Ocean Engineering, College Station, Texas 77845, USA.
J Theor Biol ; 462: 418-424, 2019 02 07.
Article in En | MEDLINE | ID: mdl-30496747
Biodiversity patterns are governed by landscape structure and dispersal strategies of residing organisms. Landscape, however, changes, and dispersal strategies evolve with it. It is unclear how these biological and geomorphological changes interplay to affect biodiversity patterns. Here we develop metacommunity models that allow for dispersal evolution and implement them in river networks with different structures, mimicking the geomorphological dynamics of fluvial landscape. For a given dispersal kernel, a more compact network structure, where local communities are closer to one another, results in biodiversity patterns characteristic of a more well-mixed environment. When dispersal evolution is present, however, organisms adopt more local dispersal strategies in a more compact network, counteracting the effects of the more well-mixed environment. The combined effects lead to biodiversity patterns different from when dispersal evolution is absent. These findings underscore the importance of taking the interplay between the evolution of dispersal, landscape, and biodiversity patterns into account when studying and managing biodiversity in changing landscape.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biodiversity / Rivers / Models, Biological Type of study: Prognostic_studies Limits: Animals Language: En Journal: J Theor Biol Year: 2019 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Biodiversity / Rivers / Models, Biological Type of study: Prognostic_studies Limits: Animals Language: En Journal: J Theor Biol Year: 2019 Document type: Article Country of publication: