Duke University, Department of Biology, Box 90338, Durham, NC 27708, USA.
Department of Evolution and Ecology, University of California, Davis, CA 95616, USA.
Trends Ecol Evol. 2015 Feb;30(2):66-77. doi: 10.1016/j.tree.2014.11.008. Epub 2014 Dec 17.
Process-based models of development predict developmental rates and phenology as a function of physiological responses to multiple dynamic environmental factors. These models can be adapted to analyze diverse processes in evolutionary ecology. By linking models across life stages, they can predict life cycles and generation times. By incorporating fitness, they can identify environmental and physiological factors that limit species distributions. By incorporating population variance, they can investigate mechanisms of intraspecific variation or synchronization. By incorporating genetics, they can predict genotype-specific phenology under diverse climatic scenarios and examine causes and consequences of pleiotropy across life stages. With further development, they have the potential to predict genotype-specific ranges and identify key genes involved in determining phenology and fitness in variable and changing environments.
基于过程的发育模型预测发育速度和物候,作为对多种动态环境因素的生理反应的函数。这些模型可以被改编来分析进化生态学中的各种过程。通过将不同生命阶段的模型联系起来,它们可以预测生命周期和世代时间。通过包含适应性,可以确定限制物种分布的环境和生理因素。通过包含种群方差,可以研究种内变异或同步的机制。通过包含遗传学,可以预测不同气候情景下特定基因型的物候,并研究不同生命阶段多效性的原因和后果。随着进一步的发展,它们有可能预测特定基因型的范围,并确定决定在多变和变化的环境中物候和适应性的关键基因。