کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
4379286 1617568 2006 15 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The use of genetic algorithms and Bayesian classification to model species distributions
موضوعات مرتبط
علوم زیستی و بیوفناوری علوم کشاورزی و بیولوژیک بوم شناسی، تکامل، رفتار و سامانه شناسی
پیش نمایش صفحه اول مقاله
The use of genetic algorithms and Bayesian classification to model species distributions
چکیده انگلیسی

This paper develops a method to model species’ spatial distributions from environmental variables. The method is based on a search for an optimal identification of environmental niches to match observed species presence/absence data. The identification is based on Bayesian classification and the optimisation is based on a Genetic Algorithm (GA). The algorithm is tested on an artificial “species” and is shown to perform well. We apply the approach to a random sample of 100 plant species native to the British Isles. This enables an identification of the environmental variables that are most important for capturing the species’ spatial distribution. We show that both climate and land use variables are important for modelling the spatial distribution patterns of the sampled species.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Ecological Modelling - Volume 192, Issues 3–4, 25 February 2006, Pages 410–424
نویسندگان
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