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京津冀地区生境质量与景观格局演变及关联性
引用本文:常玉旸,高阳,谢臻,张天柱,于希泽.京津冀地区生境质量与景观格局演变及关联性[J].中国环境科学,2021,41(2):848-859.
作者姓名:常玉旸  高阳  谢臻  张天柱  于希泽
作者单位:中国农业大学土地科学与技术学院, 北京 100193
基金项目:国家社会科学基金资助项目(19CGL037)
摘    要:以京津冀地区为研究区,基于InVEST生态评估模型、Fragstats景观格局指数测算平台,运用网格分析法,评估了2000~2018年京津冀地区生境质量与景观格局演变;利用空间自相关理论,分析了二者空间关联性及其时序演变特征.结果表明:京津冀地区生境质量整体呈现出“东南低、西北高”的空间分布特征;2000~2018年京津冀北部以及沿海地区生境质量大面积提升;北京-天津都市圈及其南部存在大面积生境质量衰退.京津冀山区景观格局较稳定,东南部城市群景观格局指数值变化显著,景观趋于破碎化.生境质量与景观格局特征二者具备空间关联性,但相关关系逐渐减弱,以东南部生境质量低值区集聚效应减弱最为明显.研究结果有助于揭示生境质量与景观格局的空间关联性规律,可为我国乃至世界其他类似地区生态保护与景观规划提供科学支持.

关 键 词:生境质量  景观格局  InVEST模型  空间自相关  
收稿时间:2020-07-06

Spatiotemporal evolution and spatial correlation of habitat quality and landscape pattern over Beijing-Tianjin-Hebei region
CHANG Yu-yang,GAO Yang,XIE Zhen,ZHANG Tian-zhu,YU Xi-ze.Spatiotemporal evolution and spatial correlation of habitat quality and landscape pattern over Beijing-Tianjin-Hebei region[J].China Environmental Science,2021,41(2):848-859.
Authors:CHANG Yu-yang  GAO Yang  XIE Zhen  ZHANG Tian-zhu  YU Xi-ze
Institution:College of Land Science and Technology, China Agricultural University, Beijing 100193, China
Abstract:In this study, the Beijing-Tianjin-Hebei (BTH) region was selected as the research area. Based on the InVEST model and Fragstats platform, grid analysis was used to evaluate the evolution of habitat quality and landscape pattern in the BTH region during 2000~2018. Meanwhile, the spatial autocorrelation model and LISA cluster were utilized to investigate the spatial correlation and temporal evolution characteristics between habitat quality and landscape pattern over the area. The results indicated that:first, the overall habitat quality in the BTH region showed a spatial distribution pattern that is "low in the southeast and high in the northwest". From 2000 to 2018, the habitat quality in the northern and coastal areas was improved greatly. The habitat quality in the Beijing-Tianjin metropolitan area and the south of BTH declined significantly; second, the landscape pattern in mountainous areas was relatively stable, whereas the index value of landscape pattern in the southeastern urban agglomeration changed significantly, with the landscape getting fragmented; third, the habitat quality spatially correlated with the landscape pattern, however, the correlation gradually decreased, especially in the southeast of BTH region. The results may help reveal the spatial correlation between habitat quality and landscape pattern, and provide scientific support for ecological protection and landscape planning in other similar regions in China and beyond.
Keywords:habitat quality  landscape pattern  InVEST model  spatial autocorrelation  
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