PDF HTML阅读 XML下载 导出引用 引用提醒 不同干扰背景下景观指数与物种多样性的多尺度效应——以巩义市为例 DOI: 10.5846/stxb201310302618 作者: 作者单位: 教育部黄河中下游数字地理技术重点实验室,教育部黄河中下游数字地理技术重点实验室,教育部黄河中下游数字地理技术重点实验室;河南大学环境与规划学院 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金(41371195,41071118) Multi-scale effects for landscape metrics and species diversity under the different disturbance:a case study of Gongyi City Author: Affiliation: Key Laboratory of Geospatial Technology For the Middle and Lower Yellow River Regions,Ministry of Education,Key Laboratory of Geospatial Technology For the Middle and Lower Yellow River Regions,Ministry of Education,Key Laboratory of Geospatial Technology For the Middle and Lower Yellow River Regions,Ministry of Education;China;College of Environment and Planning,Henan University;China Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:以黄河中下游山地丘陵区的巩义市为研究区,采用典型样地法对灌草丛、人工林和农田边缘3种不同干扰背景下的自然、半自然生境内的植物进行调查。基于景观生态学原理,在地理信息系统技术支持下,借助于Fragstatta3.3软件,以调查样地为中心,计算了150、250、500、750、1000、1250、1500m不同半径缓冲区内表征景观形状(Edge and patch shape)、边缘对照(Edge contrast)、相似度和邻近度(Proximity and similarity)、景观多样性(Diversity)、基质(Texture)、斑块大小和密度(Patch size and patch density)共6类52个指数,运用冗余分析(RDA)筛选出不同尺度下对该区农业景观中植物多样性有显著影响的景观指数。结果表明:不同尺度,景观指数对物种多样性的影响变化显著。灌草丛生境,在500-750m范围内,SHAPE_AM指数和PARA_AM指数能够很好的解释物种多样性,解释量为33.6%;人工林生境,SHAPE_AM指数、AREA_CV指数、SIMI指数和PAFRAC指数在1000-1250m范围内对物种多样性的解释量达到48.1%;农田边缘生境,GYRATE_CV指数、ENN_CV指数、PARA_MN指数和FRAC_AM指数在 750-1250m范围内对物种多样性影响显著,解释量为32%。其中,辛普森多样性指数(SIDI)与灌草丛物种多样性在750-1250m范围内作用显著,ENN_CV指数仅对农田边缘物种多样性影响较大。景观指数对物种多样性的影响具有尺度依赖性,未来应全面综合探讨这些指数的尺度效应及在景观生态学中的应用。 Abstract:Heterogeneity and stability of the agricultural landscape is the premise to maintain the stable and high efficient agricultural ecosystem. Currently, habitat loss and the changes of landscape structure caused by human activities have become the important reason for the loss of biodiversity of the agricultural landscape. Although there are numerous metrics available to investigate the spatial structure of landscape, only little empirical research has examined these metrics to indicate the plant species diversity at several scales. The study area is in Gongyi city which is distributed in the mountainous and hilly areas of Middle-Lower Yellow River. We select three types of habitat, such as shrub, plantation and farmland edge to investigate plant species by the typical sample method. These three types of habitat also represent three different disturbance levels. Shrub corresponds to the natural habitat, plantation is under semi-Natural habitat, and the farmland edge habitat is under the strongest human disturbance level. Natural and semi-Natural habitats in agricultural landscapes are of vital importance for preserving biodiversity in agro-ecosystems. Based on the principles of Landscape Ecology, under the technical support of Geographic Information System (GIS), each sample plot is considered as the center to set different radius (150, 250, 500, 750, 1000, 1250, 1500m) of buffers. In each buffer, we extract six classes of landscape metrics, which include patch shape, edge contrast, similarity and proximity, landscape diversity, texture, patch size and patch density, a total of 52 landscape metrics. By applying the redundancy analysis (RDA), the landscape metrics that affect plant species diversity significantly in agriculture landscape are extracted from different scales. Through the analysis of the RDA, the result shows that different extent, the relationship between landscape metrics and species diversity changes significantly. In terms of shrub habitat, the landscape metrics of SHAPE_AM and PARA_AM can well support the species diversity at the extent of 500-750m, and the cumulative percentage variance can get to 33.6%. For plantation habitat, the landscape metrics of SHAPE_AM, AREA_CV, SIMI and PAFRAC can well explain the species diversity at the extent of 1000-1250m, and the cumulative percentage variance is 48.1%. For farmland edge habitat, the GYRATE_CV, ENN_CV, PARA_AM and FRAC_AM are major metrics have strong relationship with species diversity, and the cumulative percentage variance is 32%. At the extent of 750-1250m, Simpson's diversity index (SIDI) shows significant relation with shrub plants; while the metric of ENN_CV only has correlation with farmland plants at the extent of 1000-1250m. This study indicates that the effects of landscape metrics on plant species diversity are strongly depended on the spatial scales, since no metric has constant relation with plant diversity across all extents. This study implies that some landscape metrics can be good indicators for revealing diversity characteristics of different habitats. To get a better relationship of the landscape heterogeneity and species diversity, we recommend further research about scale effects of the landscape metrics and much more application studies of these metrics in Landscape Ecology. 参考文献 相似文献 引证文献