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Methods and uncertainties in bioclimatic envelope modelling under climate change

机译:气候变化下生物气候覆盖模型的方法和不确定性

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摘要

Potential impacts of projected climate change on biodiversity are often assessed using single-species bioclimatic 'envelope' models. Such models are a special case of species distribution models in which the current geographical distribution of species is related to climatic variables so to enable projections of distributions under future climate change scenarios. This work reviews a number of critical methodological issues that may lead to uncertainty in predictions from bioclimatic modelling. Particular attention is paid to recent developments of bioclimatic modelling that address some of these issues as well as to the topics where more progress needs to be made. Developing and applying bioclimatic models in a informative way requires good understanding of a wide range of methodologies, including the choice of modelling technique, model validation, collinearity, autocorrelation, biased sampling of explanatory variables, scaling and impacts of non-climatic factors. A key challenge for future research is integrating factors such as land cover, direct CO2 effects, biotic interactions and dispersal mechanisms into species-climate models. We conclude that, although bioclimatic envelope models have a number of important advantages, they need to be applied only when users of models have a thorough understanding of their limitations and uncertainties.
机译:通常使用单物种生物气候“包络”模型评估预计的气候变化对生物多样性的潜在影响。这种模型是物种分布模型的特例,其中物种的当前地理分布与气候变量有关,以便能够在未来的气候变化情景下预测分布。这项工作回顾了许多关键的方法论问题,这些问题可能导致生物气候模型预测的不确定性。特别关注解决这些问题中的某些问题的生物气候模型的最新发展以及需要取得更多进展的主题。以信息性的方式开发和应用生物气候模型需要对广泛的方法学有充分的了解,包括建模技术的选择,模型验证,共线性,自相关,解释变量的有偏抽样,非气候因素的缩放和影响。未来研究的关键挑战是将诸如土地覆盖,直接的二氧化碳效应,生物相互作用和扩散机制等因素整合到物种-气候模型中。我们得出的结论是,尽管生物气候包络模型具有许多重要的优势,但只有在模型的使用者全面了解其局限性和不确定性时才需要应用它们。

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