Five (or so) challenges for species distribution modelling
Five (or so) challenges for species distribution modelling
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DOI：
10.1111/j.1365-2699.2006.01584.x
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发表时间：
2006-10-01
影响因子：
3.9
通讯作者：
Guisan, Antoine
中科院分区：
文献类型：
--
作者：
Araujo, Miguel B.;Guisan, Antoine
物种分布模型是地理学基础研究和应用研究的核心。尽管广泛使用的模型，仍然有重要的概念模糊性，以及生物和算法的不确定性，需要进行调查，以增加模型结果的信心。我们确定并讨论了五个领域的调查是高度重要的物种分布建模：（1）澄清生态位的概念;（2）改进设计的采样数据的建设模型;（3）改进参数化;（4）改进模型选择和预测的贡献;（5）改进模型评估。本文讨论的挑战并不排除该领域其他研究领域发展的需要。然而，它们对于推动物种分布建模科学的发展至关重要。
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.