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生态位模型是通过生物物种在野外出现的相关分布区域、环境指示物种的丰富度等信息对物种分布情况进行预测的科学方法,它为物种的生境选择、地理分布区的预测以及外来入侵生物的风险分析提供了重要的量化分析工具,已经广泛应用于相关领域的研究中。由于不同研究领域的研究方法和侧重点存在较大差异,产生了大量的生态位模型种类,在使用中需要对模型进行选择。模型的选择最重要的是预测的准确度,而物种地理分布点数据和影响物种分布的环境变量是制约模型预测准确度的重要因素。文中选择5种典型的常用生态位模型(GARP、MaxEnt、ENFA、BIOCLIM和CLIMEX)进行对比分析,以期研究其在物种分布模型预测方面的差异性。并在如何选择模型时建议,一种适合的模型或者采用多种模型相结合的方法有利于提高模型预测结果的准确度。
Abstract：Ecological Niche Models( ENM),as quantized tools to explore diverse issues in habitat selection,species distribution and invasive alien species,could provide scientific prediction of distributions by relating presence or abundance of species,and have been widely applied in related researches. Many ENMs specialized in different field have been developed to explore related questions,which should be selected by an effective way. And the accuracy of the model prediction is the determinant of model selection,which is restricted on the distribution data and the environment variables. Five representative ENMs( GARP,MaxEnt,ENFA,BIOCLIM and CLIMEX) were compared in this paper to find out the difference among them. It was strongly suggested that an adaptive ENM or combinations of multiple ENMs would improve the prediction accuracy of modeling.
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基本信息:
DOI：10.13326/j.jea.2014.0012
中图分类号:S763.3
引用信息:
[1]蔡静芸,张明明,粟海军,等.生态位模型在物种生境选择中的应用研究[J].经济动物学报,2014,18(01):47-52+58.DOI:10.13326/j.jea.2014.0012.
基金信息:
国家科技支持计划项目子专题(2011BAC02B0205-01、2011BAC02B0202);; 贵州省国际科技合作项目(黔科合外G字[2012]7013号);; 国家教育部科技重点项目(210198)
2014-02-26
2014-02-26
2014-02-26