亚洲小车蝗的多尺度分布格局

发布时间：2019-03-08 16:15

【摘要】：探讨亚洲小车蝗的空间分布,以及在不同尺度上影响其分布的生境因子。基于在内蒙古锡林郭勒盟镶黄旗敖包音高勒调查和实测的亚洲小车蝗密度与生境条件数据,获得研究区蝗虫生境适宜性评分值(S值)的空间分布图。对整个研究区的S值和相关生境变量分别进行Morans’I空间自相关分析、融合Moran’s I空间自相关尺度图的尺度方差分析、小波分析、或空隙度分析,以识别其等级结构和特征尺度。结果表明,亚洲小车蝗在0.3 km、0.7~1.0 km和1.9 km这3个尺度域上出现斑块化分布。这是不同尺度上相关生境因子共同作用的结果。植被类型和植被盖度对蝗虫在这3个尺度域上的分布均有影响;坡度、坡向和地形湿度指数对蝗虫在中小尺度域上的分布有影响;高程对蝗虫在中大尺度域上的分布有影响;土壤沙粒含量、pH、有机质含量和植物叶片含氮量对蝗虫在中尺度域上的分布有影响。
[Abstract]:The spatial distribution of Anoploptera asiatica and the habitat factors affecting its distribution on different scales were studied. The spatial distribution map of locust habitat suitability score (S value) in the study area was obtained based on the investigation of the density and habitat conditions of Asian locust locusts in Xianghuole League of Inner Mongolia and the survey of Aobaoyongle in Xihuangle Banner, Inner Mongolia. The S value and related habitat variables of the whole study area are analyzed by Morans'I spatial autocorrelation analysis, and the scale variance analysis, wavelet analysis, or voidage analysis of Moran's I spatial autocorrelation scale chart are combined. In order to identify its hierarchical structure and characteristic scale. The results showed that the locust appeared patchy distribution in 0.3 km,0.7~1.0 km and 1.9 km scales. This is the result of the interaction of the related habitat factors on different scales. Vegetation type and vegetation coverage have influence on locust distribution in these three scale domains, slope, slope direction and terrain humidity index have influence on locust distribution in small and medium scale domain, elevation has influence on locust distribution in medium and large scale domain, and height has influence on locust distribution in meso-and large-scale domain, and height has influence on locust distribution in meso-and large-scale domain. Soil sand grain content, pH, organic matter content and nitrogen content in plant leaves affected the distribution of locusts in the medium scale domain.
【作者单位】：中国科学院大学资源与环境学院;中国科学院怀柔生态环境综合观测研究站;
【基金】：国家自然科学基金(31270512)资助
【分类号】：S812.6

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