Complexity at advancing ecotones and frontiers

被引:29
|
作者
Malanson, George P. [1 ]
Zeng, Yu
Walsh, Stephen J.
机构
[1] Univ Iowa, Obermann Ctr Adv Studies, Iowa City, IA 52242 USA
[2] Univ Iowa, Dept Geog, Iowa City, IA 52242 USA
[3] Univ Iowa, Dept Geog, Iowa City, IA 52242 USA
[4] Univ N Carolina, Dept Geog, Chapel Hill, NC 27599 USA
[5] Univ N Carolina, Carolina Populat Ctr, Chapel Hill, NC 27599 USA
来源
关键词
D O I
10.1068/a37340
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Ecotones, such as advancing treelines, have been examined as complex self-organizing systems. Frontiers of human settlement may share some of their spatial characteristics, because they too include feedbacks between spatial pattern and process. Advancing frontiers of three study areas in the Amazonian region of Ecuador are analyzed with the aid of Landsat imagery to detect change. Power-law distributions of advancing deforestation are found, which are indicative of possible complexity. Alternative approaches in self-organized complexity, including self-organized percolation and the inverse-cascade model, and an approach to complexity involving optimization - highly optimized tolerance-are considered. Some combination of these, based on their common ancestry in percolation theory, might provide insights into population - environment interaction at settlement frontiers.
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页码:619 / 632
页数:14
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