环境生态位模型
物种分布
领域(数学)
选择(遗传算法)
选型
分布(数学)
采样(信号处理)
计算机科学
生态学
生物地理学
生态位
生物
数学
人工智能
栖息地
滤波器(信号处理)
数学分析
计算机视觉
纯数学
作者
Miguel B. Araújo,Antoine Guisan
标识
DOI:10.1111/j.1365-2699.2006.01584.x
摘要
Abstract Species distribution modelling is central to both fundamental and applied research in biogeography. Despite widespread use of models, there are still important conceptual ambiguities as well as biotic and algorithmic uncertainties that need to be investigated in order to increase confidence in model results. We identify and discuss five areas of enquiry that are of high importance for species distribution modelling: (1) clarification of the niche concept; (2) improved designs for sampling data for building models; (3) improved parameterization; (4) improved model selection and predictor contribution; and (5) improved model evaluation. The challenges discussed in this essay do not preclude the need for developments of other areas of research in this field. However, they are critical for allowing the science of species distribution modelling to move forward.
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