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华北地区干旱时空变化及其对植被NDVI的影响

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采用2000-2020 年华北地区 90个气象站点气象观测数据构建标准化降水蒸散指数(SPEI),选取 30m空间分辨率的归一化植被指数栅格数据提取归一化植被指数(NDVI),量化植被覆盖情况,采用 Sen's 斜率估计、Mann-Kandall检验、相关性分析、Copula-Bayesian条件概率公式等对华北地区植被干旱敏感性进行分析。结果表明:(1)华北大部分地区SPEI值呈极显著增长,华北北部部分地区SPEI值呈极显著下降;华北西部及北部地区NDVI值呈极显著增长,其余地区呈极显著下降;(2)华北地区干旱与植被以不显著空间集聚为主,小部分地区出现干旱与植被呈高值集聚和低值集聚;(3)华北地区总体上年尺度 SPEI 与 NDVI 相关性较好,植被对干旱的响应速度较慢,敏感程度较低,河南部分地区月尺度 SPEI 与 NDVI 相关性较好,植被对干旱敏感程度较高,NDVI与SPEI的联合分布函数最符合Clayton Copula函数;(4)华北地区植被低覆盖度出现的可能性随着干旱程度减轻而不断减少,较低覆盖度出现的可能性在极旱至中旱时不断增加,从中旱至轻旱时不断减少,植被中覆盖度、较高覆盖度和高覆盖度的可能性都随着干旱减轻而增加。
Study on Temporal and Spatial Variation of Drought in North China and Its Influence on Vegetation NDVI
In order to grasp the evolutionary trend of drought and vegetation in various regions of North China,and to analyze the degree of response of vegetation to different drought types,it is of guiding significance for drought mitigation work.In the paper,data from 90 meteorological stations in North China were used to construct the standardized precipitation evapotranspiration index(SPEI),and the normalized vegetation index(NDVI)was selected to quantify the vegetation coverage.Then,the Sen's slope estimator,Mann-Kandall test,correlation analysis,and Copula-Bayesian conditional probability formula were used to analyze the drought sensitivity of vegetation in North China.The results show that:(1)the SPEI value in most parts of North China showed a extremely significant increase,the SPEI value in some parts of North China showed a extremely significant decrease,the NDVI value in the western and northern regions of North China showed an extremely significant increase,and the rest of the regions showed an extremely significant decline.(2)Drought and vegetation in North China were dominated by insignificant spatial clustering,with high and low values of drought and vegetation clustering in small areas.(3)In North China,the correlation between annual scale SPEI and NDVI was good,the response rate of vegetation to drought was slower and the sensitivity was low,the correlation between month-scale SPEI and NDVI was better in some parts of Henan,and the vegetation was more sensitive to drought,and the joint distribution function of NDVI and SPEI was the most consistent with the Clayton Copula function.(4)The likelihood of lowest vegetation coverage occurring in North China was decreasing with decreasing drought,the likelihood of lower vegetation coverage occurring was increasing from extreme to moderate drought and decreasing from moderate to light drought,and the likelihood of medium,higher and highest vegetation coverage all increase with decreasing drought.

SPEINVDISen's slope estimatorMann-Kandall testCopula-Bayesian conditional probability formula function

高宇、张丽媛、杨文通

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山东理工大学管理学院,淄博 255049

河海大学商学院,南京 210000

标准化降水蒸散指数 归一化植被指数 Sen's斜率估计 Mann-Kandall检验 Copula-Bayesian条件概率公式

国家社会科学基金

19CGL045

2024

中国农业气象
中国农业科学院农业环境与可持续发展研究所

中国农业气象

CSTPCD
影响因子:1.679
ISSN:1000-6362
年,卷(期):2024.45(4)
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