Effects of changing scale on landscape pattern analysis: scaling relations
Effects of changing scale on landscape pattern analysis: scaling relations
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DOI：
10.1023/b:land.0000021711.40074.ae
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发表时间：
2004-04
影响因子：
5.2
通讯作者：
Jianguo Wu
中科院分区：
文献类型：
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作者：
Jianguo Wu
景观格局具有空间相关性和尺度依赖性。因此，了解景观结构和功能需要多尺度信息，而尺度函数是明确量化多尺度特征的最精确和最简明的方法。本研究的主要目的是探讨在一定尺度(粒度和范围)上测量景观格局时，景观格局是否存在任何尺度关系。结果表明，在类水平(即针对单个土地覆盖类型)计算时，景观度量对尺度变化的响应可分为两类：简单尺度函数和不可预测行为。同样，在之前的一项研究中，当所有土地覆盖类型组合在一起时，在景观水平上发现了三种类型，第三种是楼梯模式。总体而言，等级水平上的比例关系比景观水平上的变化更大，并且在两个水平上随着粒度的变化而不是随着程度的变化而更一致和可预测。考虑到所研究的景观在组成和形态上都相当不同，这些结果似乎很可靠。这项研究强调了多尺度分析的必要性，以充分描述和监测景观异质性，并对景观格局的尺度提供了见解。
Landscape pattern is spatially correlated and scale-dependent. Thus, understanding landscape structure and functioning requires multiscale information, and scaling functions are the most precise and concise way of quantifying multiscale characteristics explicitly. The major objective of this study was to explore if there are any scaling relations for landscape pattern when it is measured over a range of scales (grain size and extent). The results showed that the responses of landscape metrics to changing scale fell into two categories when computed at the class level (i.e., for individual land cover types): simple scaling functions and unpredictable behavior. Similarly, three categories were found at the landscape level, with the third being staircase pattern, in a previous study when all land cover types were combined together. In general, scaling relations were more variable at the class level than at the landscape level, and more consistent and predictable with changing grain size than with changing extent at both levels. Considering that the landscapes under study were quite diverse in terms of both composition and configuration, these results seem robust. This study highlights the need for multiscale analysis in order to adequately characterize and monitor landscape heterogeneity, and provides insights into the scaling of landscape patterns.