摘要
气候和人类活动是控制和影响植被空间分布及其变化的基本驱动力。利用2001—2018年的MODIS NDVI和1999—2018年的降雨时间序列数据,分析了陕西省NDVI的时空变化规律。采用TSS-RESTREND(Time Series Segmentation and Residual Trend)算法剥离了气候要素(降雨)对植被NDVI的影响,分析了人类活动对植被变化的影响程度和区域。(1)2001—2018年间,陕西省NDVI呈显著增加,全省平均增加速率为0.006/a;(2)相比18年来的平均值,77.29%的区域大于均值。其中,陕北的榆林市、延安市大于均值的区域较大,分别为97.52%和89.03%,秦巴山区次之,为73.91%。2012年之后,NDVI高值向北逐年推进趋势明显。(3)全省NDVI增加的区域达71.77%,而陕北地区的增加量明显大于关中平原区和陕南秦巴山地,其中陕北的榆林NDVI增加区域为72.11%,延安为86.44%,均超过了全省平均水平。(4)总体上陕西全省呈变绿趋势。榆林市和延安市的变绿区域明显多于关中平原和秦巴山地,延安和榆林的剧烈增长区域分别为55.46%和34.34%,而陕南为41.03%,说明处于湿润气候区的陕南地区也有显著变绿趋势。
Remotely sensed data provide the only long term,large scale record of vegetation changes in natural terrestrial ecosystems.Changes in the spatiotemporal pattern of vegetation alter the structure and function of landscapes,consequently affecting biodiversity and ecological processes.Climate and human activities are the basic drivers to control the spatial distribution and change of vegetation.Disentangling human-induced vegetation changes from those driven by climate variations is critically important for ecological understanding and management of landscapes.The main objective of this study was to detect spatial distribution of human-induced vegetation changes.The Residual Trend,or RESTREND,method is applied to satellite observations to detect vegetation changes.Based on the rainfall and the Moderate Resolution Imaging Spectroradiometer(MODIS)Normalized Difference Vegetation Index(NDVI)time series from 2001 to 2018,we analyzed the temporal and spatial variation of NDVI in Shaanxi Province,China.The influence of climate factors,rainfall,was separated by Time Series Segmentation and Residual Trend(TSS-RETREND)algorithm and we got the areas and magnitude of human activities on vegetation change.The results showed that(1)during 2001—2018,the NDVI value in Shaanxi had significantly increased and the average increase rate was 0.006/a.(2)Compared with the average NDVI value of the 18 years,77.29%of the areas were greater than the mean value.Yulin and Yanan in northern Shaanxi had the greatest areas with 97.52%and 89.03%respectively,followed by Qinba Mountain Area(73.91%).After 2012,the high value of NDVI tended to be northward year by year.(3)Human activities had a great influence on vegetation change and the total increase areas of NDVI by human activities was 71.77%,while the increase in northern Shaanxi was significantly larger than that in Guanzhong Plain and Qinba Mountain area.The increase area of NDVI in Yulin and Yanan were 72.11%and 86.44%,respectively,which exceeded the average level of the whole province.(4)
作者
殷崎栋
柳彩霞
田野
YIN Qidong;LIU Caixia;TIAN Ye(Shaanxi Eco-environmental Planning and Design Institute Ltd.,Xi'an 710075,China;State Key Laboratory of Remote Sensing Science,Aerospace Information Research Institute,Chinese Academy of Sciences,Beijing 100101,China;Key Laboratory of Urban Environment and Health,Institute of Urban Environment,Chinese Academy of Sciences,Xiamen 361002,China)
出处
《生态学报》
CAS
CSCD
北大核心
2021年第4期1571-1582,共12页
Acta Ecologica Sinica
基金
国家重点研发计划(2016YFC0501101,2016YFC0503603)。
