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Challenges of ecological complexity

机译：生态复杂性的挑战

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Complexity poses enormous challenges in ecology. In order to study complexity or factor it into our theories or models, a better understanding of complexity is needed. Complexity has at least six dimensions in ecology: spatial, temporal, structural, process, behavioral, and geometric. These six sources of complexity are discussed. Issues and approaches to the study of complexity are also discussed. It is argued that our vocabulary for describing complexity is deficient in many areas. Scaling is a successful technique that has been used to simplify complex relationships. Model reduction is shown to be a poweiful technique that applies when either ensembles of objects behave as aggregate wholes or conservation laws constrain overall behaviors. It is argued that experimental frames need more attention when dealing with complex ecosystem attributes. Life history theory and metapopulation models are two areas where further development of the subject depends on the ability to handle complexity properly. It is concluded that explicit study of complexity is both necessary and timely.
机译：复杂性给生态带来了巨大挑战。为了研究复杂性或将其纳入我们的理论或模型中，需要更好地理解复杂性。复杂性在生态学上至少具有六个维度：空间，时间，结构，过程，行为和几何。讨论了这六个复杂性来源。还讨论了复杂性研究的问题和方法。有人认为，我们用来描述复杂性的词汇在许多领域都是不足的。缩放是一种成功的技术，已用于简化复杂的关系。事实证明，模型简化是一种可行的技术，当对象的集合表现为集合整体或守恒定律限制整体行为时，该方法适用。有人认为，在处理复杂的生态系统属性时，实验框架需要更多的关注。生命历史理论和人口模型是该学科的进一步发展取决于正确处理复杂性的能力的两个领域。结论是，对复杂性的明确研究既必要又及时。

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