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| 秦岭地区植被NDVI海拔梯度差异及其气温响应 | |
| 引用本文： | 崔晓临,白红英,王涛.秦岭地区植被NDVI海拔梯度差异及其气温响应[J].资源科学,2013,35(3):618-626. |
| 作者姓名： | 崔晓临 白红英 王涛 |
| 作者单位： | 1. 西北大学城市与环境学院,西安710127;西安科技大学测绘科学与技术学院,西安710054 2. 西北大学城市与环境学院,西安,710127 3. 西安科技大学测绘科学与技术学院,西安,710054 |
| 基金项目： | 国家林业公益性行业科研专项:“秦岭天然林对气候变化的时空响应及管理对策”(编号:201304309)。 |
| 摘 要： | 秦岭山系是我国南北重要的地理分界线,属于亚热带与暖温带的过渡区域,也是对气候变化较为敏感的区域.基于2000年-2009年时序重建MODIS NDVI及气温、DEM等数据,对气候变化下的秦岭地区NDVI变化趋势及区域响应进行分析,结果表明:①2000年-2009年,秦岭地区植被覆盖较好,且呈逐年增加态势;②秦岭10a平均NDVI值总体随海拔升高先增加后降低,最大值在海拔1500～2000m范围内,最小值在海拔＜500m范围内,反映了秦岭地区海拔＜500m区域内人类活动对植被生态系统的强烈影响;③秦岭地区植被覆盖除在海拔1500～2000m和＞2700m范围内增加趋势不显著外,在其他海拔范围内均呈显著增加态势,且增加速率随海拔的升高而减小;④近30a来秦岭地区气温呈上升趋势,高于我国近30a来的平均增温速率.秦岭地区高海拔区域(＞2700m)NDVI与气温相关性最高(0.43),表明高海拔区域陆地植被生态系统更易受到全球气候变化的影响. |
| 关 键 词： | NDVI 植被 气温 海拔梯度 秦岭地区 |
Difference in NDVI with Altitudinal Gradient and Temperature in Qinling Area |
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| CUI Xiaolin,BAI Hongying and WANG Tao.Difference in NDVI with Altitudinal Gradient and Temperature in Qinling Area[J].Resources Science,2013,35(3):618-626. | |
| Authors: | CUI Xiaolin BAI Hongying and WANG Tao |
| Abstract: | The Qinling Mountains are sensitive to climate change. Differences in vegetation NDVI across altitudinal gradients and its response to temperature in Qinling from 2000 to 2009 was carried out using MODIS NDVI images, temperature and 30m DEM data. We found that vegetation coverage is improving at Qinling and increasing year by year. This reflects the implementation of ecological policies around returning farmland to forest and grass. The average NDVI value increases and then decreases with increasing elevation in Qinling from 2000 to 2009. The maximum average NDVI value was from 1500~2000m, and the minimum value was <500m. Agricultural vegetation was mainly distributed <500m, and with increasing elevation, agricultural vegetation transitioned to broadleaf forest vegetation. Due to human interference, broadleaf forest vegetation at higher altitudes was replaced by shrub vegetation gradually leading to a small NDVI value. Vegetation coverage from1500~2000m and >2700m increased was not significant. In the past 30 years, temperature in the Qinling area has been rising at a rate higher than the national average. The correlation coefficient (0.43) between temperature and vegetation NDVI in the high altitude areas (>2700 m) was the highest, reflecting that high altitude areas of terrestrial vegetation will be more vulnerable to global climate change. |
| Keywords: | NDVI Vegetation Temperature Altitudinal gradient Qinling area |
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