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Approaches to advance scientific understanding of macrosystems ecology
Author(s) -
Levy Ofir,
Ball Becky A,
Bond-Lamberty Ben,
Cheruvelil Kendra S,
Finley Andrew O,
Lottig Noah R,
Punyasena Surangi W,
Xiao Jingfeng,
Zhou Jizhong,
Buckley Lauren B,
Filstrup Christopher T,
Keitt Tim H,
Kellner James R,
Knapp Alan K,
Richardson Andrew D,
Tcheng David,
Toomey Michael,
Vargas Rodrigo,
Voordeckers James W,
Wagner Tyler,
Williams John W
Publication year - 2014
Publication title -
frontiers in ecology and the environment
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.918
H-Index - 164
eISSN - 1540-9309
pISSN - 1540-9295
DOI - 10.1890/130019
Subject(s) - ecology , scale (ratio) , temporal scales , standardization , spatial ecology , computer science , management science , data science , environmental resource management , geography , environmental science , biology , engineering , cartography , operating system
The emergence of macrosystems ecology (MSE), which focuses on regional‐ to continental‐scale ecological patterns and processes, builds upon a history of long‐term and broad‐scale studies in ecology. Scientists face the difficulty of integrating the many elements that make up macrosystems, which consist of hierarchical processes at interacting spatial and temporal scales. Researchers must also identify the most relevant scales and variables to be considered, the required data resources, and the appropriate study design to provide the proper inferences. The large volumes of multi‐thematic data often associated with macrosystem studies typically require validation, standardization, and assimilation. Finally, analytical approaches need to describe how cross‐scale and hierarchical dynamics and interactions relate to macroscale phenomena. Here, we elaborate on some key methodological challenges of MSE research and discuss existing and novel approaches to meet them.