Reliably modelling the demographic and distributional responses of a species to environmental changes can be crucial for successful conservation and management planning. Process-based models have the potential to achieve this goal, but so far they remain underused for predictions of species' distributions. Individual-based models offer the additional capability to model inter-individual variation and evolutionary dynamics and thus capture adaptive responses to environmental change.

中文翻译：

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RangeShiftR：用于基于个体模拟空间生态进化动力学和物种对环境变化的反应的 R 包

可靠地模拟物种对环境变化的人口统计和分布响应对于成功的保护和管理规划至关重要。基于过程的模型有可能实现这一目标，但到目前为止，它们在预测物种分布方面仍未得到充分利用。基于个体的模型提供了额外的能力来模拟个体间的变化和进化动态，从而捕捉对环境变化的适应性反应。