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理解和预测生态动态:重大意外是否不可避免?

Understanding and predicting ecological dynamics: are major surprises inevitable?

作者信息

Doak Daniel F, Estes James A, Halpern Benjamin S, Jacob Ute, Lindberg David R, Lovvorn James, Monson Daniel H, Tinker M Timothy, Williams Terrie M, Wootton J Timothy, Carroll Ian, Emmerson Mark, Micheli Fiorenza, Novak Mark

机构信息

Department of Zoology and Physiology, University of Wyoming, Laramie, Wyoming 82071, USA.

出版信息

Ecology. 2008 Apr;89(4):952-61. doi: 10.1890/07-0965.1.

Abstract

Ecological surprises, substantial and unanticipated changes in the abundance of one or more species that result from previously unsuspected processes, are a common outcome of both experiments and observations in community and population ecology. Here, we give examples of such surprises along with the results of a survey of well-established field ecologists, most of whom have encountered one or more surprises over the course of their careers. Truly surprising results are common enough to require their consideration in any reasonable effort to characterize nature and manage natural resources. We classify surprises as dynamic-, pattern-, or intervention-based, and we speculate on the common processes that cause ecological systems to so often surprise us. A long-standing and still growing concern in the ecological literature is how best to make predictions of future population and community dynamics. Although most work on this subject involves statistical aspects of data analysis and modeling, the frequency and nature of ecological surprises imply that uncertainty cannot be easily tamed through improved analytical procedures, and that prudent management of both exploited and conserved communities will require precautionary and adaptive management approaches.

摘要

生态意外是指一个或多个物种的数量出现大量且意想不到的变化,这些变化源于此前未被察觉的过程,这是群落和种群生态学实验与观测中常见的结果。在此,我们给出此类意外的例子,以及对资深野外生态学家的一项调查结果,其中大多数人在其职业生涯中都遇到过一个或多个意外。真正令人惊讶的结果很常见,以至于在任何合理描述自然和管理自然资源的努力中都需要考虑到它们。我们将意外分为基于动态、模式或干预三类,并推测导致生态系统常常令我们惊讶的常见过程。生态文献中长期存在且仍在增加的一个担忧是如何最好地预测未来的种群和群落动态。尽管关于这个主题的大多数工作都涉及数据分析和建模的统计方面,但生态意外的频率和性质表明,不确定性无法通过改进分析程序轻易消除,对已开发和受保护群落的审慎管理将需要预防性和适应性管理方法。

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