景观异质性包括景观组成和构型的异质性,而人为干扰是形成异质性景观的主要影响因素。以河南省巩义市为例,在以建成区、农田、丘陵和山地为主体的景观中各选取一个4km×4km的样区,采用移动窗口算法,以100、250、500、1000、1250m和1500m为移动窗口半径,借用蔓延度(CONT)和均匀度(SHEI)指数,分析了不同干扰背景下景观异质性的空间变化特征。结果表明:随着移动窗口半径的增大,各景观类型的蔓延度和均匀度指数的最大值逐渐递减,最小值逐渐递增(建成区除外);建成区和农田景观蔓延度指数的平均值均大于丘陵和山地景观,均匀度指数的平均值则相反;4种类型景观的均匀度指数和蔓延度指数都呈显著相关关系,除建成区1000m及以上移动窗口半径外,<em>R</em><sup>2</sup>都大于0.9;拟合曲线的<em>β</em>值基本呈递增趋势。文中对于人为干扰强度的差异性和景观异质性的尺度依赖性分析,为构建合理的景观格局提供了理论依据。;Landscape heterogeneity consists of landscape composition and configuration, while human disturbance is one of the main factors affecting landscape heterogeneity. So far there are few of studies on landscape heterogeneity under the different disturbances by using moving window. Selecting Gongyi City of Henan Province as the study area, this paper is aimed to reveal the characteristics of the agro-landscape heterogeneity under the different intensity of human disturbance. We set up a 4km×4km sample area in urban area, farmland, hilly and mountains respectively. By using moving window, we count the contagion index and the evenness index at landscape level. The moving window radius divided into 100m, 250m, 500m, 1000m, 1250m and 1500m. In order to reflect the features of landscape composition and landscape configuration on multiple scales, we calculate the contagion index and the evenness index in the moving windows radius. Meanwhile the correlation of the two indexes is also studied by curve estimate. The <em>β</em> of the fitted curve illustrates that the contagion index changes along with the evenness index on the contrary, that is to say, landscape composition changes consistent with landscape configuration in the opposite direction. The study results are as follows: 1) Along with increasing of the moving radius, the maximum of contagion index and evenness index decline gradually in the four landscapes, while the minimum of the two indexes show the opposite trend but urban area; 2) The mean values of contagion index in the urban and farmland landscapes are bigger than the values of the hilly and mountainous landscapes. Otherwise, the mean value of evenness index is showing opposite characteristics from the contagion index; 3) The relationship of the contagion index and the evenness index is significantly negative (<em>R</em><sup>2</sup> > 0.9) in the four different landscapes. However above the radius of 100m in urban landscape, the correlation of these two indexes in non-significantly negative (<em>R</em><sup>2</sup> < 0.9). 4) The <em>β </em>values of the curve estimate show increasing trend from the radius of 100m to 1500m in the four different landscapes. When the moving window radius increases gradually,there are large numbers of various patches in the landscapes bringing about the whole change of landscape composition and configuration, and this would have an effect on the biodiversity, ecosystem stability and ecological system service. At the landscape level, the more complex landscape composition and configuration, the higher level of landscape heterogeneity. That means the numbers and the types of patches are various, and these patches are grouped in different types. The heterogeneity of hilly and mountains are higher than urban area and farmland, it proves that the human disturbance factors play an important role on the formation of landscape heterogeneity. Because of the human activities make the single type of land use, which reduces the landscape heterogeneity. As above said landscape heterogeneity has a very strong dependence on scales, so analyzing the landscape heterogeneity on multi-scale is very meaningful. We wish our study results can provide theoretical basis for a sustainable landscape management of agro-landscape in future.
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