mechanistic_mod_data.csv

Data used for application in paper<i> </i><i>Mechanistic modeling of climate effects on redistribution a</i><i>nd population growth in a community of fish species</i>. Abstract:Understanding community responses to climate is critical for anticipating the future impacts of global change. However, despite increased research efforts in this field, models that explicitly include important biological mechanisms are lacking. Quantifying the potential impacts of climate change on species is complicated by the fact that the effects of climate variation may manifest at several points in the biological process. To this end, we extend a dynamic mechanistic model that combines population dynamics, such as species interactions, with species redistribution by allowing climate to affect both processes. We investigate their relative contributions to the changing biomass of a community of eight species in the Gulf of Maine. Using over 30 years of fisheries data from the Northeast Fishery Science Center, we find that the mechanisms driving biomass trends vary across space, time, and species.

本数据集为论文《鱼类群落中气候变化对种群再分布与种群增长的机理建模》的配套研究数据。摘要：解析群落对气候的响应机制，是预判全球变化未来影响的关键前提。尽管当前该领域的研究投入持续增加，但仍缺乏明确纳入核心生物学机理的量化模型。气候变化对物种的潜在影响难以精准量化，原因在于气候变异的效应可在生物过程的多个环节显现。为此，我们对原有动态机理模型进行了拓展——该模型原本结合了种群动态（如物种间相互作用）与物种再分布过程，我们通过引入气候对两类过程的共同调控作用实现模型优化。以此为基础，我们探究了这两类过程对缅因湾8个物种种群群落生物量变化的相对贡献。借助美国东北渔业科学中心（Northeast Fishery Science Center）30余年的渔业监测数据，我们发现驱动生物量变化趋势的核心机理存在显著的空间、时间及物种间差异。