Cargando…
Species competition: coexistence, exclusion and clustering
We present properties of Lotka–Volterra equations describing ecological competition among a large number of interacting species. First we extend previous stability conditions to the case of a non-homogeneous niche space, i.e. that of a carrying capacity depending on the species trait. Second, we dis...
Autores principales: | , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society Publishing
2009
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263774/ https://www.ncbi.nlm.nih.gov/pubmed/19620117 http://dx.doi.org/10.1098/rsta.2009.0086 |
_version_ | 1782221925866536960 |
---|---|
author | Hernández-García, Emilio López, Cristóbal Pigolotti, Simone Andersen, Ken H. |
author_facet | Hernández-García, Emilio López, Cristóbal Pigolotti, Simone Andersen, Ken H. |
author_sort | Hernández-García, Emilio |
collection | PubMed |
description | We present properties of Lotka–Volterra equations describing ecological competition among a large number of interacting species. First we extend previous stability conditions to the case of a non-homogeneous niche space, i.e. that of a carrying capacity depending on the species trait. Second, we discuss mechanisms leading to species clustering and obtain an analytical solution for a state with a lumped species distribution for a specific instance of the system. We also discuss how realistic ecological interactions may result in different types of competition coefficients. |
format | Online Article Text |
id | pubmed-3263774 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2009 |
publisher | The Royal Society Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-32637742012-01-23 Species competition: coexistence, exclusion and clustering Hernández-García, Emilio López, Cristóbal Pigolotti, Simone Andersen, Ken H. Philos Trans A Math Phys Eng Sci Articles We present properties of Lotka–Volterra equations describing ecological competition among a large number of interacting species. First we extend previous stability conditions to the case of a non-homogeneous niche space, i.e. that of a carrying capacity depending on the species trait. Second, we discuss mechanisms leading to species clustering and obtain an analytical solution for a state with a lumped species distribution for a specific instance of the system. We also discuss how realistic ecological interactions may result in different types of competition coefficients. The Royal Society Publishing 2009-08-28 /pmc/articles/PMC3263774/ /pubmed/19620117 http://dx.doi.org/10.1098/rsta.2009.0086 Text en © 2009 The Royal Society http://creativecommons.org/licenses/by/2.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Articles Hernández-García, Emilio López, Cristóbal Pigolotti, Simone Andersen, Ken H. Species competition: coexistence, exclusion and clustering |
title | Species competition: coexistence, exclusion and clustering |
title_full | Species competition: coexistence, exclusion and clustering |
title_fullStr | Species competition: coexistence, exclusion and clustering |
title_full_unstemmed | Species competition: coexistence, exclusion and clustering |
title_short | Species competition: coexistence, exclusion and clustering |
title_sort | species competition: coexistence, exclusion and clustering |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3263774/ https://www.ncbi.nlm.nih.gov/pubmed/19620117 http://dx.doi.org/10.1098/rsta.2009.0086 |
work_keys_str_mv | AT hernandezgarciaemilio speciescompetitioncoexistenceexclusionandclustering AT lopezcristobal speciescompetitioncoexistenceexclusionandclustering AT pigolottisimone speciescompetitioncoexistenceexclusionandclustering AT andersenkenh speciescompetitioncoexistenceexclusionandclustering |