首页|西南地区植被动态变化的驱动力解析

西南地区植被动态变化的驱动力解析

Analysis of the driving forces of vegetation dynamic changes in southwest China

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以归一化植被指数(NDVI)、土地利用、气候数据集为基础,综合集合经验模态分解、偏相关分析、分段线性回归等方法,在明晰区域植被变化特征的基础上阐明气候变化和城市扩张两大驱动要素对植被动态的影响.结果显示,1990~2018年,西南地区NDVI呈波动上升趋势,植被变绿趋势明显,在空间上表现东南高、西北低的分布格局.相较于太阳辐射和降水,气温对区域植被生长的影响力及范围均较大,约占区域总面积的64.6%,主要分布在研究区中部以及西部.西南地区土地城市化、经济城市化和人口城市化随时间推移均呈增加趋势,且空间分布格局较一致;在县域尺度上,经济、人口城市化与植被生长呈先增后降的非线性关系,土地城市化与植被生长呈负相关关系;在栅格尺度上,三类城市化与植被生长的关系保持不变,但是非线性阈值以及线性斜率差异明显.
Based on the Normalized Difference Vegetation Index(NDVI),land use and climate datasets,this study analyzed the trend of change in vegetation growth and clarified the impact of climate change and urban expansion on vegetation dynamics in southwest China by the ensemble empirical mode decomposition,partial correlation analysis and segmented linear regression.The results showed that the NDVI in the southwest China fluctuating increased,indicating an obvious vegetation greening trend;spatially,the regions with high NDVI were distribution in the southeast part and the regions with low NDVI were concentrated at the northwest part.Compared to the solar radiation and precipitation,the influencing scale and degree of temperature on regional vegetation growth was relatively large,accounting for approximately 64.6%of the study area,mainly distributed in the central and western parts of the study area.The land urbanization,economy urbanization and demographic urbanization increased over time,and the spatial distribution of these three urbanizations was relatively consistent.At the county scale,the correlation between economic urbanization,demographic urbanization and vegetation growth increased firstly and then decreased,showing a nonlinear characteristic;while there was a negative correlation between land urbanization and vegetation growth.At the grid scale,the relationship between these three urbanization and vegetation growth remains unchanged;but there were significant differences in the thresholds of nonlinear relationship and the slope of linear relationship.This study can provide scientific reference for implementing more precise ecological management measures and achieving sustainable socio-economic development in this region.

vegetation greeningclimateurbanizationscalesouthwest China

曾兴兰、陈田田

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重庆师范大学,三峡库区地表过程与环境遥感重庆市重点实验室,重庆 401331

重庆市三峡库区地表生态过程野外科学观测研究站,重庆 401331

植被绿化 气候 城市化 尺度 西南地区

国家自然科学基金资助项目重庆市教委科学技术研究项目重庆市教委社科规划项目

42001090KJQN2020005122020BS45

2023

中国环境科学
中国环境科学学会

中国环境科学

CSTPCDCSCDCHSSCD北大核心
影响因子:2.174
ISSN:1000-6923
年,卷(期):2023.43(12)
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