Working across space and time: nonstationarity in ecological research and application. Issue 1 (1st February 2021)

• Record Type: Journal Article
• Authors: Rollinson, Christine R; Finley, Andrew O; Alexander, M Ross; Banerjee, Sudipto; Dixon Hamil, Kelly-Ann; Koenig, Lauren E; Locke, Dexter Henry; Peterson, Megan; Tingley, Morgan W; Wheeler, Kathryn; Youngflesh, Casey; Zipkin, Elise F
• Is Part Of: Frontiers in ecology and the environment. Volume 19:Issue 1(2021)
• Page Start: 66
• Page End: 72
• Publication Date: 2021-02-01
• Subjects: Ecology -- Periodicals; Environmental sciences -- Periodicals; Ecology; Environmental sciences; Electronic journals; Periodicals; 577.05
• DOI: 10.1002/fee.2298
• Languages: English
• ISSNs: 1540-9295

Abstract

Abstract : 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.