期刊
ENVIRONMENTAL MODELLING & SOFTWARE
卷 72, 期 -, 页码 250-260出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.envsoft.2015.05.004
关键词
Ecological niche modelling; Eigenvalue decomposition; Niche function; Niche visualization; Specialisation; Species distribution modelling
类别
资金
- research funding programme LOEWE - Landes-Offensive zur Entwicklung Wissenschaftlich-okonomischer Exzellenz of Hesse's Ministry of Higher Education, Research, and the Arts
- DFG [TA 311/3]
Some algorithms used to model species' distributions are often only considered as black boxes; coefficients of the underlying niche functions are often not interpreted ecologically. Here, we focus on the maximum entropy approach that is commonly and successfully applied in order to model species' distribution. By means of an eigenanalysis, we decompose the niche function into independent factors that can be interpreted separately. In addition, we derive parameters that can be used to characterize the species' niche, especially considering the steepness of the modelled niche function and the sensitivity of the considered species against changes in certain environmental conditions. On the example of three well-studied Taiga forest tree species we illustrate the capability and scope of our approach. Given the easy availability of environmental data and species occurrences, the presented approach seems to be a feasible way to gain deeper insights into the factors that are related to species' distributions. (C) 2015 Elsevier Ltd. All rights reserved.
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