Evaluating the effectiveness of landscape metrics in quantifying spatial patterns

Evaluating the effectiveness of landscape metrics in quantifying spatial patterns
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DOI:
10.1016/j.ecolind.2009.04.017
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发表时间:
2010-03
影响因子:
6.9
通讯作者:
Jian Peng;Yanglin Wang;Yuan Zhang-;Jiansheng Wu;Weifeng Li;You Li
Jian Peng;Yanglin Wang;Yuan Zhang-;Jiansheng Wu;Weifeng Li;You Li
中科院分区:
环境科学与生态学2区
文献类型:
--
作者:
Jian Peng;Yanglin Wang;Yuan Zhang-;Jiansheng Wu;Weifeng Li;You Li

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景观指标在量化空间格局中的有效性是指标评估的基础。以36个模拟景观为样本空间,以23个常用景观指标为重点,应用多元线性回归分析方法,分析了它们对斑块类型数、斑块类型面积比和斑块聚集度等空间格局分量复杂性的量化效果。结果表明,所有度量指标都能有效地量化空间格局的某个组成部分,并证明了度量指标量化的不是单一的空间格局组成部分,而是空间格局多个组成部分的复杂性。研究还表明,景观指标在模拟景观和真实的城市景观,中国深圳,中国之间的表现明显不一致。结果表明,模拟景观与真实的景观的空间格局成分之间的相关性存在差异,是造成这种不一致的主要原因。在考虑了这一差异后,模拟景观中23个景观指标随斑块类型数变化的趋势与真实的景观中的一致。这一现象反映了景观格局分量对景观指数的符号效应,对合理使用景观指数具有重要意义。
The effectiveness of landscape metrics in quantifying spatial patterns is fundamental to metrics assessment. Setting 36 simulated landscapes as sample space and focusing on 23 widely used landscape metrics, their effectiveness in quantifying the complexity of such spatial pattern components as number of patch types, area ratio of patch types and patch aggregation level, were analyzed with the application of the multivariate linear regression analysis method. The results showed that all the metrics were effective in quantifying a certain component of spatial patterns, and proved that what the metrics quantified were not a single component but the complexity of several components of spatial patterns. The study also showed a distinct inconsistency between the performances of landscape metrics in simulated landscapes and the real urban landscape of Shenzhen, China. It was suggested that the inconsistency resulted from the difference of the correlation among spatial pattern components between simulated and real landscapes. After considering the very difference, the changes of all 23 landscape metrics against changing of number of patch types in simulated landscapes were consistent with those in the real landscape. The phenomenon was deduced as the sign effect of spatial pattern components on landscape metrics, which was of great significance to the proper use of landscape metrics.