Landscape frontiers, geography frontiers: Lessons to be learned
Landscape frontiers, geography frontiers: Lessons to be learned
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DOI：
10.1111/j.1467-9272.2006.00576.x
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发表时间：
2006-11-01
影响因子：
1.8
通讯作者：
Walsh, Stephen J.
中科院分区：
文献类型：
--
作者：
Malanson, George P.;Zeng, Yu;Walsh, Stephen J.
不断发展的生态交错带，例如林线和人类住区的边界，可能具有一些共同的动态特征，因为两者都包含空间格局和过程之间的反馈。根据复杂性理论，两者都可以被视为复杂的自组织系统，因此可以进行有效的比较。蒙大拿州高山林线推进的元胞自动机显示了空间和时间模式的幂律频率分布中的吸引子。使用陆地卫星专题制图器图像的变化检测对厄瓜多尔亚马逊地区研究区域的前沿进行分析，发现森林砍伐呈幂律分布。考虑了自组织复杂性的替代方法，包括自组织渗透和逆级联模型，以及涉及优化、高度优化的容错的复杂性方法。鉴于高山林线和厄瓜多尔的空间反馈之间的比较，基于渗流理论（及其与地理计算的联系）中的共同祖先，这些因素的某种组合可能会提供对定居点边界和生态交错带的人口与环境相互作用的见解。地理信息科学和景观生态学可以通过建立地理计算和复杂性理论领域来发展协同作用，例如通过空间显式模拟分析空间度量状态空间中的吸引子并表示其不确定性。
Advancing ecotones, such as treelines and frontiers of human settlement, may share some characteristic dynamics because both include feedbacks between spatial pattern and process. Both might be examined as complex, self-organizing systems in terms of complexity theory and thus be usefully compared. A cellular automaton of advancing alpine treeline in Montana shows attractors in power-law frequency distributions of spatial and temporal pattern. Frontiers of study areas in the Amazonian region of Ecuador, analyzed using change detection of Landsat Thematic Mapper imagery, have power-law distributions of advancing deforestation. 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 (with its ties to geocomputation), might provide insights into population-environment interactions at settlement frontiers and ecotones together, given comparisons drawn between the spatial feedbacks at alpine treeline and in Ecuador. GIScience and landscape ecology can develop synergies by building on this area of geocomputation and complexity theory, as in analysis of attractors in state spaces of spatial metrics from spatially explicit simulations and representing their uncertainty.