摘要
植被是联结大气圈、土壤圈、水圈和生物圈的重要纽带,因此植被的时空变化特征及其驱动因子之间的关系在区域生态环境变化研究中具有重要意义。基于GIMMS/NDVI和CRU等多种数据集,采用趋势分析法和地理探测器模型,分析了中亚地区1991—2015年间NDVI的时空变化特征,并对NDVI的空间分布和变化趋势进行因子探测、风险探测以及交互作用分析。结果表明,近25 a来,中亚地区植被变化整体上保持平稳波动,哈萨克丘陵中低海拔区域NDVI呈极显著上升;咸海盆地西南部受干涸湖盆盐尘近距离扩散影响,NDVI则呈极显著下降;由于中亚各国间水资源开发利用的矛盾,锡尔河中游和下游的NDVI变化趋势相反;哈萨克斯坦北部旱地由于存在先弃耕后复垦的现象,NDVI下降趋势较大,但结果并不显著(P>0.1);根据地理探测器模型分析结果,水分因素主导着中亚地区植被的生长格局,气温与NDVI变化呈显著负相关,此外不同地形、高程、土壤类型、土地覆被类型之间,NDVI的时空变化差异也十分显著;在交互因子作用方面,双因子交互作用有助于增强对NDVI空间分布以及时空变化的解释力,潜在蒸散发与高程的协同作用对NDVI空间分布的解释力达到64%以上。
Vegetation is an important nexus connecting atmosphere,pedosphere,hydrosphere and biosphere.Therefore,the relationship between the temporal and spatial variation characteristics of vegetation and its driving factors is of great significance in the study of regional ecological environment changes.Based on multiple data sets such as GIMMS NDVI and CRU,the authors analyzed the temporal and spatial variation characteristics of NDVI in Central Asia from 1991 to 2015,using trend analysis and geo-detector model that included factor detection,risk detection and interaction analysis.The results show that the vegetation activities in Central Asia have remained stable and volatile on the whole in the past 25 years.In detail,NDVI in the middle and low altitude areas of the Kazakh hills has increased significantly,while the NDVI in the southwestern part of Aral Sea has been significantly reduced because of the close diffusion of salt dust in the Aral Sea basin.In addition,because of the contradiction between water resources development and utilization among Central Asian countries,the trend of NDVI in the midstream of the Syr Darya and the downstream has been reversed.The non-irrigated farmland in northern Kazakhstan has a large decline in NDVI,and the results are not significant(P≥0.1)due to the phenomenon of re-cultivation.According to the results of geo-detector model,the water factor dominates the vegetation growth pattern in Central Asia,and the temperature is negatively correlated with the NDVI change.The difference in spatial and temporal variation of NDVI between different terrains,elevations,soil types and land use types is also significant.In terms of the interaction factor,the bi-factor interaction has enhanced the interpretation of spatial distribution and temporal and spatial variation of NDVI.The synergistic effect of potential evapotranspiration and elevation on the spatial distribution of NDVI is over 64%.
作者
王伟
阿里木·赛买提
吉力力·阿不都外力
WANG Wei;Alim Samat;Jilili Abuduwaili(State Key Laboratory of Desert and Oasis Ecology,Xinjiang Institute of Ecology and Geography,Chinese Academy of Sciences,Urumqi 830011,China;University of Chinese Academy of Sciences,Beijing 100049,China;Research Center for Ecology and Environment of Central Asia,Chinese Academy of Science,Urumqi 830011,China)
出处
《国土资源遥感》
CSCD
北大核心
2019年第4期32-40,共9页
Remote Sensing for Land & Resources
基金
中国科学院战略性先导专项“泛第三极环境变化与绿色丝绸之路建设”(编号:XDA2006030102)
中国科学院科技服务网络计划项目“中亚水环境承载力与水处理技术示范应用”(编号:KFJ-STS-QYZD-071)和中国科学院青年创新促进会项目(编号:2018476)共同资助
国家自然科学基金项目“中亚重大河湖流域地表水环境演变规律及其风险预警”(编号:U1603242)
关键词
NDVI
中亚
地理探测器
趋势分析
时空变化
NDVI
Central Asia
geographical detector
trend analysis
temporal and spatial variation
