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Community diversity and total abundance: Quantitative predictions from competition niche theory
Affiliation:1. ENSNP, UMR 7324 CITERES, 9 rue de la Chocolaterie, 41000 Blois, France;2. INRA, UMR 1201 DYNAFOR, 24 chemin de Borde Rouge, Auzeville-Tolosane CS 52627, 31326 Castanet-Tolosan Cedex, France;1. Department of Mathematics and Statistics, University of Missouri-Kansas City, Kansas City, MO, 64110-2499, USA;2. Department of Mathematics, Clarkson University, Potsdam, NY, 13699-5815, USA;3. Department of Wildlife and Fisheries Sciences, Texas A&M University, TAMU 2258, College Station, TX 77843-2258, USA;4. School of Mathematics and Statistics, Carleton University, ON K1S-5B6, Canada;1. Tajima Fisheries Technology Institute, Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries, Kasumi, Kami, Mikata, Hyogo 669-6541, Japan;2. Fisheries Technology Institute, Hyogo Prefectural Technology Center for Agriculture, Forestry and Fisheries, Minami-Futami 22-2, Futami, Akashi, Hyogo 674-0093, Japan
Abstract:Lotka–Volterra niche competition theory (LVNCT) is based on Lotka–Volterra competition equations with competition coefficients between pairs of species determined by the intensity of their niche overlap though the MacArthur–Levins niche overlap formula. Here I study analytically and numerically the predictions of LVNCT concerning total abundance and biodiversity, measured by the Shannon equitability index. Firstly, a set of simplifying assumptions that render the LVNCT amenable of analytical treatment are considered. In particular I derive an approximated formula for the total abundance, as the inverse of the mean value of the interspecific competition coefficients, which works pretty well both for the transient and steady regime and for a wide range of the typical niche width σ. Secondly, I analyze, by means of simulations, the effect of relaxing the above simplifying assumptions when considering more realistic conditions. It turns out that the approximated formula for the total abundance is quite robust and its potential implications for management are discussed. I also analyze the predicted relationship between community productivity and diversity.
Keywords:Niche theory  Lotka–Volterra competition equations  Quantitative population ecology  Productivity and biodiversity
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