首页|东北三省NDVI时空变化特征及对气候因子的响应

东北三省NDVI时空变化特征及对气候因子的响应

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中国东北地区是全球气候变化最敏感的区域之一,了解植被的时空变化及对气候因子的响应对东北地区生态环境的构建和评价具有重要意义,对全球气候变化的响应也具有重要的指示作用.基于MODIS归一化差值植被指数(NDVI),利用Theil-Sen斜率估计、Mann-Kendall检验和Hurst指数开展2000-2021年东北三省NDVI时空演变特征及未来变化趋势研究,并通过相关分析方法研究NDVI对气候因子的响应.结果表明:2000-2021年NDVI整体均值为0.391,季节上呈现出春冬季低、夏秋季高的变化趋势,空间上呈现出西低东高的变化趋势;2000-2021年,NDVI年均增长率为0.003 a-1,而2010-2021年,NDVI整体呈现极显著上升趋势,年均增长率为0.006a-1;东北三省86.93%面积的NDVI在未来可持续增长,表明未来植被生长态势较好;相关分析表明,NDVI与气候因子在空间尺度上存在依赖性,气温与NDVI有更好的相关性;在东北三省大部分地区,气温和降水均对NDVI变化有正贡献,且两者的贡献相当,但在空间上存在着差异.
Spatio-temporal variation characteristics of NDVI in the three northeast provinces and their responses to climatic factors
The northeast region of China is one of the most sensitive areas responsing to global climate change.Un-derstanding the spatio-temporal variation of vegetation and its response to climatic factors is of great significance for the construction and evaluation of the ecological environment in the three northeast provinces,and also plays an important indicative role in the response to global climate change.Based on the MODIS Normalized Difference Vegetation Index(NDVI),the spatio-temporal evolution characteristics and the future change trends of NDVI in the three northeast provinces from 2000 to 2021 were investigated using the methods of Theil-Sen slope estimation,Mann-Kendall test,and Hurst index,and the response of NDVI to climatic factors was estimated with correlation a-nalysis.The results show that from 2000 to 2021,the annual growth rate of NDVI is 0.003 per year,whereas from 2010 to 2021,NDVI is a highly significant increasing trend,with an annual growth rate of 0.006 per year.NDVIs in 86.93%of the area in the three northeast provinces is projected to increase in the future,indicating a positive trend in vegetation growth.In addition,correlation analysis shows that NDVI depends on climatic factors at a spa-tial scale.Specifically,temperature shows a better correlation with NDVI.In the most areas of the three northeast provinces,both temperature and precipitation contribute positively to NDVI change,and their contributions are comparable though spatial differences exist.

NDVITheil-Sen slope estimationHurst index

谢勇、王爽、王恒阳、杨旭、张富龙、王宁、陶峰

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吉林省突发事件预警信息发布中心,吉林长春 130062

中国科学院长春光学精密机械与物理研究所,吉林长春 130033

吉林省气象科学研究所/长白山气象与气候变化吉林省重点实验室/中高纬度环流系统与东亚季风研究开放实验室,吉林长春 130062

松原市气象局,吉林松原 138000

吉林省气象台,吉林长春 130062

吉林建筑大学测绘与勘查工程学院,吉林长春 130018

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NDVI Theil-Sen斜率估计 Hurst指数

国家自然科学基金国家自然科学基金中国气象局创新发展专项&&

4187511941630424CXFZ2022J007JJKH20210290KJ

2024

气象与环境学报
中国气象局沈阳大气环境研究所

气象与环境学报

CSTPCD
影响因子:1.433
ISSN:1673-503X
年,卷(期):2024.40(1)
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