Leaving misleading legacies behind in plankton ecosystem modelling
Leaving misleading legacies behind in plankton ecosystem modelling
复制标题
在浮游生物生态系统建模中留下误导性的遗产
DOI：
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发表时间：
2014
期刊：
影响因子：
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通讯作者：
M. Pahlow
中科院分区：
文献类型：
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作者：
S. Lan Smith;A. Merico;Kai W. Wirtz;M. Pahlow
机械生态系统模型的价值早已得到赞赏，在基于特征的方法方面，它最近激发了对适应能力和权衡的更基于过程的理解。尽管最近取得了进展，但即使是最先进的浮游生物生态系统模型，其中一些包括数百个理想化的物种，也不能准确地反映浮游生物的巨大生物多样性，或浮游生物群落的相关灵活适应性反应。我们建立在以前的评论建议，它可能是必要的，以建立模型，可以使新的和可测试的预测浮游生物生态系统的“适应能力”，放弃一些常见的假设，并尝试新的方法。为生产者和消费者的互动社区建模的主要挑战仍然没有得到解决。我们建议，明智地将创新的、机械的方法结合起来，将联合收割机的特点和权衡结合起来，可能会更好地解决这些挑战，而不是将现有的模型组件混合和匹配的常见方法，每个组件都有自己的传统假设。
The value of mechanistic ecosystem modelling has long been appreciated, and in connection with trait-based approaches it has recently stimulated a more process-based understanding of adaptive capacities and trade-offs. Notwithstanding recent advances, even sophisticated state-of-the-art models of plankton ecosystems, some of which include hundreds of idealized species, do not accurately represent the great biodiversity of plankton, or the associated flexible adaptive response of plankton communities. We build on previous reviews to suggest that it may be necessary to discard some common assumptions and try new approaches in order to construct models that can make new and testable predictions about the ``adaptive capacity' of plankton ecosystems. Major challenges remain unresolved for modelling interacting communities of producers and consumers. Rather than the common approach of mixing and matching existing model components, each laden with its own legacy assumptions, we suggest that a judicious combination of innovative, mechanistic approaches that combine traits and trade-offs will likely better address such challenges.
影响因子：
2.5
作者：
Hickman, A. E.;Dutkiewicz, S.;Follows, M. J.
通讯作者：
Follows, M. J.