globalchange  > 气候变化事实与影响
CSCD记录号: CSCD:6495125
论文题名:
秦巴山区植被覆盖变化及气候因子驱动分析
其他题名: Spatial-temporal changes in vegetation characteristics and climate in the Qinling-Daba Mountains
作者: 陈超男1; 朱连奇1; 田莉2; 李新鸽1
刊名: 生态学报
ISSN: 1000-0933
出版年: 2019
卷: 39, 期:9, 页码:90-94
语种: 中文
中文关键词: 植被覆盖 ; 时空格局 ; 气候变化 ; 秦巴山区
英文关键词: NDVI ; vegetation cover ; NDVI ; spatial-temporal patterns ; climate change ; Qingling-Daba Mountains
WOS学科分类: BIOLOGY
WOS研究方向: Life Sciences & Biomedicine - Other Topics
中文摘要: 基于GIMMS3g(1982-2015年)、SOPT VEG(1998-2015年)和MODIS(2000-2017年)3种NDVI数据集,结合气温、降水和DEM数据,利用平均法、线性趋势分析法和相关分析法等方法,分析了秦巴山区植被覆盖的时空变化特征及其与气候因子的相关性,并以秦岭山地(陕西境内)为重点区域,分析了植被覆盖的海拔梯度差异及其与气候因子的垂直响应模式。结果表明:①19822017年秦巴山区3种植被NDVI均呈显著增加趋势,其中19822015年NDVI-GIMMSsg增速为1.4%/lOa, 1982-2000年NDVI-GIMMS3g低且波幅较大,增速为1.6%/lOa,年际间变异系数(CV)为0.04,2000-2015年NDVI- GIMMS3g较高且稳定增加,增速为1.7%/10a,CV为0.02;2000-2015年NDVI-SPOT VEG增速为4.1%/10a,CV为0.04;20002017年NDVI-MODIS年增速为4.5%/10a,CV为0.04;②2000-2017年(MODIS数据)秦巴山区植被覆盖高值区主要为秦岭、米仓山和神农架等山地,低值区主要为西部高海拔区和东部低海拔区等区域;秦岭山地随海拔升高植被NDVI先升高后降低;③2000-2017年(MODIS数据)秦巴山区植被覆盖增加和减少的区域分别占96.90%和3.10%,低海拔地区较高海拔地区变化剧烈;秦岭山地低海拔带植被覆盖较高海拔带增加显著;④20002015年(SOPT VEG数据)秦巴山区增温效应显著,增速为0.49℃/10a,植被覆盖与温度以正相关为主,与降水正负相关并存,与温度的相关性较降水的相关性高;秦岭山地高海拔带植被对温度变化更敏感,低海拔带对降水更敏感。
英文摘要: Vegetation and its characteristics are largely controlled by regional landforms and climate. The Qingling-Daba Mountains are located in a transitional zone between the subtropical and the warm temperate climate in China, where a complex relationship between vegetation and climate exits. To explore this relationship, we used GIMMS3g(19822015), SPOT VEGTATION (SPOT VEG) (1998-2015),and MODIS (2000-2017) , the DEM, and climate data (temperature and precipitation) to quantify the spatiotemporal changes in vegetation in the Shaanxi Province of the mountains. We found that: (1) NDVI of the GIMMS3g database increased significantly at a rate of 1.4%/10a from 1982 through 2015. For 1982-2000, NDVI of GIMMS3g was low but highly variable (linear tendency 1.6%/10a, CV = 0.4) by year, whereas a stable increasing trend appeared after 2000 (linear tendency 1.7%/10a, CV = 0.2). For 20002015, the increasing rate was 4.1%/10a (CV = 0.04) for NDVI of the SPOT VEG database. For 20002015, the increasing rate was 4.5%/10a (CV = 0.04) for NDVI of the MODIS database. (2) High vegetation coverage was found from MODIS for 20002017, primarily in the mountainous regions (e.g., Qinling Mountains, Micang Mountains, and Shennongjia),whereas low cover was detected at high altitudes in the west and low altitudes in the east. For the Qinling Mountains, NDVI increased and decreased with elevation. (3) The increase and decrease of vegetation coverage during 2000-2017 accounted for 96.90% and 3.10% of the total land area, respectively. Meanwhile, the vegetation cover at low altitude appeared more protected than that in the high-altitude areas. (4) Annual mean temperature in the study area increased by 0.49℃/10a during 19822015,whereas the precipitation showed no significant change. For 20002015, we found that vegetation cover (based on SPOT VEG and climate data) was positively correlated with temperature,but not with precipitation. The correlation analysis further demonstrated that vegetation cover was more strongly correlated with temperature in the Qingling-Daba Mountains. In the Qinling Mountains, the correlation was significant between NDVI and temperature in the high-altitude areas, and between NDVI and precipitation in low-altitude areas.
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/156062
Appears in Collections:气候变化事实与影响

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作者单位: 1.河南大学环境与规划学院, 开封, 河南 475004, 中国
2.中国科学院地理科学与资源研究所
3.千烟洲生态试验站,
4.中国科学院生态系统网络观测与模拟重点实验室,
5., 北京
6.北京 100101
7.100101, 中国

Recommended Citation:
陈超男,朱连奇,田莉,等. 秦巴山区植被覆盖变化及气候因子驱动分析[J]. 生态学报,2019-01-01,39(9):90-94
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