Spatiotemporal Variation of NDVI in Qinghai Lake Basin and Its Relationship with Climatic Factors

FANG Jianmei; MA Guoqing; YU Xinxiao; JIA Guodong; WU Xiuqin

doi:10.13870/j.cnki.stbcxb.2020.03.017

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Spatiotemporal Variation of NDVI in Qinghai Lake Basin and Its Relationship with Climatic Factors

更新时间：2025-03-12

- Spatiotemporal Variation of NDVI in Qinghai Lake Basin and Its Relationship with Climatic Factors
- Vol. 34, Issue 3, Pages: 105-112(2020)
- 作者机构：
  
  1. 北京林业大学水土保持学院,北京,100083
  2. 水土保持与荒漠化防治教育部重点实验室,北京,100083
  3. 国家林业和草原局世界银行贷款项目管理中心,北京,100714
- 作者简介：
- 基金信息：
- DOI：10.13870/j.cnki.stbcxb.2020.03.017
  CLC： K903;TP79
- Published：2020
- 稿件说明：
移动端阅览
FANG Jianmei, MA Guoqing, YU Xinxiao, et al. Spatiotemporal Variation of NDVI in Qinghai Lake Basin and Its Relationship with Climatic Factors[J]. 2020, 34(3): 105-112.
DOI：

FANG Jianmei, MA Guoqing, YU Xinxiao, et al. Spatiotemporal Variation of NDVI in Qinghai Lake Basin and Its Relationship with Climatic Factors[J]. 2020, 34(3): 105-112. DOI： 10.13870/j.cnki.stbcxb.2020.03.017.

摘要

作为陆地生态系统中的重要组成部分，植被的时空动态深刻影响生态结构和功能，深入了解植被时空演变特征及其与气候之间的关系，有助于提高对生态系统格局—过程—功能的认识，为生态保护和建设提供重要参考。基于2000—2016年MODIS13Q1 NDVI数据集，结合该区域及周边14个气象站的降水和平均气温数据，采用趋势分析法、突变检验法、IDW空间插值法、偏相关分析法和R/S分析法等方法，分析了青海湖流域近17年的NDVI时空动态特征及其与气候因子间的关系。结果表明：（1）2000—2016年青海湖流域NDVI总体上呈上升趋势，显著和极显著改善的区域占总面积的40.18%。（2）NDVI与年降水和平均气温呈正相关关系，但大部分区域呈不显著相关，NDVI与年降水的相关性高于年平均气温。（3）流域NDVI未来演变多为随机状态，占比为65.07%，由改善转退化的区域占26.73%，多分布在流域上游天峻县境内的多年冻土区。青海湖流域气候朝暖湿化方向发展，辅以生态建设工程的实施，2000—2016年青海湖流域NDVI整体改善，由于青藏高原的典型性和特殊性，未来植被的发展趋势仍具有较大的随机性和异质性。

Abstract

As a main component of terrestrial ecosystem

vegetation has a profound impact on ecological structure and function. The study of spatiotemporal variation of vegetation and its relationship with climatic factors are beneficial to understand pattern

process and function of ecosystem

and provide important references for ecological protection and construction.Based on MODIS13Q1 NDVI data set during 2000-2016

combined with the precipitation and average temperature data of 14 meteorological stations in and around basin

this paper used the trend analysis method

mutation test

IDW spatial interpolation method

partial correlation analysis and R/S analysis method

analyzed NDVI temporal and spatial dynamic characteristics and the relationship with climate factors for a total of 17 years in Qinghai Lake Basin.The results showed that:(1) NDVI in Qinghai Lake Basin generally showed an upward trend

with significant and extremely significant improvement areas accounting for 40.18% of the total area during 2000 to 2016. (2) NDVI was positively correlated with the annual precipitation and average temperature

but was not significantly correlated in most areas. The correlation between NDVI and annual precipitation was higher than annual average temperature. (3) The future evolution of NDVI in the basin was mostly random

accounting for 65.07%

and the area from improvement to degradation accounted for 26.73%

mostly distributed in the permafrost area in the county of Tianjun located in watersheds upstream. The climate in Qinghai Lake Basin is developing towards warm and humid

in addition

the implementation of ecological construction project

NDVI in the basin overall has been improved from 2000 to 2016. Due to the typicality and particularity of the Tibet Plateau

the future trend of vegetation still has randomness and heterogeneity.

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