Working across space and time: nonstationarity in ecological research and application
Working across space and time: nonstationarity in ecological research and application
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DOI：
10.1002/fee.2298
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发表时间：
2021-02-01
影响因子：
10.3
通讯作者：
Zipkin, Elise F.
中科院分区：
文献类型：
--
作者：
Rollinson, Christine R.;Finley, Andrew O.;Zipkin, Elise F.
生态学研究越来越多地考虑在广泛的空间和时间域的现象之间的综合关系。然而，这种大规模的推论通常会被控制现象的过程中不断变化的属性（称为非平稳性）所混淆，这可能违反标准分析方法的假设。变化的条件是生态学的基本和普遍的特征，但它们对生态推断和预测的影响随着大量因素的空间和时间域的增大而增加。幸运的是，已经有了确定和适应可能混淆的空间或时间趋势的工具，而且正在迅速开发新的方法。在这里，我们提供指导，以获得更好地了解非平稳性，其原因，以及如何解决它。承认和解决生态模式和过程中的非恒定趋势是进行大规模研究和有效地将研究结果转化为当地政策和做法的关键。
Ecological research increasingly considers integrative relationships among phenomena at broad spatial and temporal domains. However, such large-scale inferences are commonly confounded by changing properties in the processes that govern phenomena (termed nonstationarity), which can violate assumptions underlying standard analytical methods. Changing conditions are fundamental and pervasive features in ecology, but their influence on ecological inference and prediction increases with larger spatial and temporal domains for a host of factors. Fortunately, tools for identifying and accommodating potentially confounding spatial or temporal trends are available, and new methods are being rapidly developed. Here, we provide guidance for gaining a better understanding of nonstationarity, its causes, and how it can be addressed. Acknowledging and addressing non-constant trends in ecological patterns and processes is key to conducting large-scale research and effectively translating findings to local policies and practices.