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Sensitivity Analysis of Range Dynamics Models (SARDM): Quantifying the influence of parameter uncertainty on forecasts of extinction risk from global change

机译:范围动力学模型(SARDM)的敏感性分析:量化参数不确定性对全球变化导致的灭绝风险预测的影响

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摘要

Spatially explicit demographic models are increasingly being used to forecast the effect of global change on the range dynamics of species. These models are typically complex, with the structure and parameter values often estimated with considerable uncertainty. If not properly accounted, this can lead to bias or false precision in projections of changes to species range dynamics and extinction risk. Here we present a new open-source freeware tool, "Sensitivity Analysis of Range Dynamics Models" (SARDM) that provides an all-in-one approach for: (i) determining the implications of integrating complex and often uncertain information into spatially explicit demographic models compiled in RAMAS GIS, and (ii) identifying and ranking the relative importance of different sources of parameter uncertainty. The sensitivity and uncertainty analysis techniques built into SARDM will facilitate ecologists and conservation scientists in better establishing confidence in forecasts of range movement and abundance. (C) 2016 Elsevier Ltd. All rights reserved.
机译:空间显式人口统计模型正越来越多地用于预测全球变化对物种范围动态的影响。这些模型通常很复杂,其结构和参数值通常在不确定的情况下进行估算。如果没有适当说明,这会导致对物种范围动态变化和灭绝风险的预测偏差或错误的精确度。在这里,我们介绍了一个新的开源免费软件工具,“范围动力学模型的敏感性分析”(SARDM),它为以下方面提供了一种一体化的方法:(i)确定将复杂且通常不确定的信息集成到空间明确的人口统计信息中的含义在RAMAS GIS中编译的模型,以及(ii)识别和排序不同参数不确定性来源的相对重要性。 SARDM中内置的敏感性和不确定性分析技术将帮助生态学家和保护科学家更好地建立对范围移动和丰度预测的信心。 (C)2016 Elsevier Ltd.保留所有权利。

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