共 50 条
Approaches to advance scientific understanding of macrosystems ecology
被引:51
|作者:
Levy, Ofir
[1
]
Ball, Becky A.
[2
]
Bond-Lamberty, Ben
[3
]
Cheruvelil, Kendra S.
[4
]
Finley, Andrew O.
[4
]
Lottig, Noah R.
[5
]
Punyasena, Surangi W.
[6
]
Xiao, Jingfeng
[7
]
Zhou, Jizhong
[8
]
Buckley, Lauren B.
[9
]
Filstrup, Christopher T.
[10
]
Keitt, Tim H.
[11
]
Kellner, James R.
[12
]
Knapp, Alan K.
[13
]
Richardson, Andrew D.
[14
]
Tcheng, David
[6
]
Toomey, Michael
[14
]
Vargas, Rodrigo
[15
]
Voordeckers, James W.
[8
]
Wagner, Tyler
[16
]
Williams, John W.
[17
]
机构:
[1] Arizona State Univ, Tempe, AZ 85287 USA
[2] Arizona State Univ, Glendale, AZ USA
[3] Pacific NW Natl Lab, JGCRI, College Pk, MD USA
[4] Michigan State Univ, E Lansing, MI 48824 USA
[5] Univ Wisconsin, Ctr Limnol, Boulder Jct, WI USA
[6] Univ Illinois, Urbana, IL 61801 USA
[7] Univ New Hampshire, Durham, NH 03824 USA
[8] Univ Oklahoma, Norman, OK 73019 USA
[9] Univ N Carolina, Chapel Hill, NC USA
[10] Iowa State Univ, Ames, IA USA
[11] Univ Texas Austin, Austin, TX 78712 USA
[12] Brown Univ, Providence, RI 02912 USA
[13] Colorado State Univ, Ft Collins, CO 80523 USA
[14] Harvard Univ, Cambridge, MA 02138 USA
[15] Univ Delaware, Newark, DE USA
[16] Penn State Univ, US Geol Survey, Penn Cooperat Fish & Wildlife Res Unit, University Pk, PA 16802 USA
[17] Univ Wisconsin, Madison, WI USA
基金:
美国国家科学基金会;
关键词:
CROSS-SCALE INTERACTIONS;
LAND-COVER DATA;
COMBINING MODIS;
CHALLENGES;
NICHE;
DYNAMICS;
SCIENCE;
SYSTEMS;
MODELS;
WORLD;
D O I:
10.1890/130019
中图分类号:
Q14 [生态学(生物生态学)];
学科分类号:
071012 ;
0713 ;
摘要:
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.
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页码:15 / 23
页数:9
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