TY - JOUR
T1 - Approaches to advance scientific understanding of macrosystems ecology
AU - Levy, Ofir
AU - Ball, Becky A.
AU - Bond-Lamberty, Ben
AU - Cheruvelil, Kendra S.
AU - Finley, Andrew O.
AU - Lottig, Noah R.
AU - Punyasena, Surangi W.
AU - Xiao, Jingfeng
AU - Zhou, Jizhong
AU - Buckley, Lauren B.
AU - Filstrup, Christopher T.
AU - Keitt, Tim H.
AU - Kellner, James R.
AU - Knapp, Alan K.
AU - Richardson, Andrew D.
AU - Tcheng, David
AU - Toomey, Michael
AU - Vargas, Rodrigo
AU - Voordeckers, James W.
AU - Wagner, Tyler
AU - Williams, John W.
PY - 2014/2
Y1 - 2014/2
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84894266880&partnerID=8YFLogxK
U2 - https://doi.org/10.1890/130019
DO - https://doi.org/10.1890/130019
M3 - مقالة
SN - 1540-9295
VL - 12
SP - 15
EP - 23
JO - Frontiers in Ecology and the Environment
JF - Frontiers in Ecology and the Environment
IS - 1
ER -