Can we make quantitative predictions for relative yield with incomplete knowledge of model parameters?
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A main limitation in community ecology for making quantitative predictions on species abundances is often an incomplete knowledge of the parameters of the population dynamics models. The simplest linear Lotka-Volterra competition equations (LLVCE) for S species require S2 parameters to solve for equilibrium abundances. The same order of experiments are required to estimate these parameters, namely the carrying capacities (from monoculture experiments) and the competition coefficients (from biculture or pairwise experiments in addition to monoculture ones). For communities with large species richness S it is practically impossible to perform all these experiments. Therefore, with an incomplete knowledge of model parameters it seems more reasonable to attempt to predict aggregated or mean quantities, defined for the whole community of competing species, rather than making more detailed predictions, like the abundance of each species. Here we test a recently derived analytical approximation for predicting the Relative Yield Total (RYT) and the Mean Relative Yield (MRY) as functions of the mean value of the interspecific competition matrix a and the species richness S. These formulae with only a fraction of the model parameters, are able to predict accurately empirical measurements covering a wide variety of taxa such as algae, vascular plants, protozoa. We discuss the dependence of these global community quantities on the species richness and the intensity of competition and possible applications are pointed out.
Key wordsBiodiversity-ecosystem functioning experiments Quantitative Lotka-Volterra competition theory
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Work supported in part by ANII-Uruguay (SNI and project ERANET-LACR&I2016-1005422).
- Fort, H. and Mungan, M. 2015. Predicting abundances of plants and pollinators using a simple compartmental mutualistic model. Proc. Royal Soc. B282, 1808.Google Scholar
- Fort, H. and Segura, A. 2018. Competition across diverse taxa: quantitative integration of theory and empirical research using global indices of competition. Oikos, DOI: 10.1111/oik.04756.Google Scholar
- Hector, A. et al. 2010. The data sets used in the paper with detailed descriptions. Ecological Archives E091-155-S1, Suppl. to Ecology 91:2213-2220. http://www.esapubs.org/archive/ecol/E091/155/
- Hubbel, S.P. 2002. The Unified Neutral Theory of Biodiversity and Biogeography. Princeton Univ. Press, Princeton, NJ.Google Scholar
- Lotka, A.J. 1925. Elements of Physical Biology. Williams and Wilkins, Baltimore.Google Scholar
- de Wit, C.T. 1970. On the modelling of competitive phenomena. Proc. Adv. Study Inst. Dynamics Numbers Popul. Oosterbeek, 1970:269–281.Google Scholar
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