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自然资源遥感  2025, Vol. 37 Issue (1): 221-231    DOI: 10.6046/zrzyyg.2023226
  技术应用 本期目录 | 过刊浏览 | 高级检索 |
2000—2020年山西省植被生长状态对气象干旱的响应
赵富(), 王莉(), 马禹昂, 蒋瑞霞
河南理工大学测绘与国土信息工程学院,焦作 454003
Responses of vegetation growth conditions to meteorological drought in Shanxi Province from 2000 to 2020
ZHAO Fu(), WANG Li(), MA Yuang, JIANG Ruixia
School of Surveying and Land Information Engineering, Henan Polytechnic University, Jiaozuo 454003, China
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摘要 基于2000—2020年标准化降水指数(standardized precipitation index, SPI)与植被状态指数(vegetation condition index, VCI),采用变分模态分解(variational mode decomposition, VMD)、Mann-Kendall趋势分析、Pearson相关系数等方法,分析了山西省不同植被类型下气象干旱变化趋势,量化了植被生长状态对气象干旱的响应时间。结果表明: ①20世纪以来,山西省整体气象干旱逐步缓解,但季尺度上呈现由春至冬旱情加重区不断扩大的态势; ②不同植被类型下气象干旱均得到缓解,且随着时间尺度增长,态势越发显著,而季尺度上由春至冬缓解态势渐弱,加重态势渐强; ③植被生长状态受气象干旱影响显著,年尺度上主要以正相关为主,季尺度上高相关性区域由春至冬逐渐收缩至西北部和东北部,而响应时间呈现出春冬长于秋夏的特征; ④不同植被类型下植被生长状态对气象干旱的响应均在夏季最为迅速,且耕地是对气象干旱最敏感的地类。
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赵富
王莉
马禹昂
蒋瑞霞
关键词 ： SPI,  VCI,  气象干旱,  响应关系,  山西省    
Abstract：

Based on the standardized precipitation index (SPI) and vegetation condition index (VCI) from 2000 to 2020, this study analyzed the trends in meteorological drought across different vegetation types in Shanxi Province using methods such as variational mode decomposition (VMD), Mann-Kendall trend analysis, and Pearson correlation coefficient. Accordingly, this study quantified the response time of vegetation growth conditions to meteorological drought. The results indicate that from the beginning of the 2000s, the overall meteorological drought in Shanxi Province has gradually eased. However, on a seasonal scale, areas with increasingly aggravated drought continuously expand from spring to winter. Meteorological drought has alleviated across various vegetation types, with the alleviation becoming increasingly significant with an increase in the time scale. In contrast, on a seasonal scale, the drought relief gradually weakens from spring to winter, during which drought aggravation progressively strengthens. Vegetation growth conditions are significantly influenced by meteorological drought. On the annual scale, there is a predominantly positive correlation between both. On the seasonal scale, areas with a strong correlation between both gradually contract from spring to winter, when such areas are dominated by the northwestern and northeastern areas of the province. Additionally, the response time of vegetation to drought is longer in spring and winter compared to autumn and summer. Across different vegetation types, the responses of vegetation growth conditions to meteorological drought prove the most rapid during the summer, and cultivated lands are identified as the most sensitive land type to meteorological drought.
Key words： SPI    VCI    meteorological drought    response relationship    Shanxi Province
收稿日期: 2023-07-24      出版日期: 2025-02-17
ZTFLH:  TP79  
  P461  
基金资助:河南省科技攻关项目“基于GIS的大学生体质健康评价与预警技术研究”(192102310025);河南理工大学国家社科基金预研项目“我国城乡青少年体质健康时空差异及体制提升研究”(CSKY2023-04)
通讯作者: 王 莉(1981-),女,博士,副教授,主要从事地理信息系统研究。Email: wangli29@hpu.edu.cn。
作者简介: 赵 富(2000-),男,硕士研究生,主要从事气象学与地理信息技术及应用研究。Email: zhaofu_2000@163.com。
引用本文:   
赵富, 王莉, 马禹昂, 蒋瑞霞. 2000—2020年山西省植被生长状态对气象干旱的响应[J]. 自然资源遥感, 2025, 37(1): 221-231.
ZHAO Fu, WANG Li, MA Yuang, JIANG Ruixia. Responses of vegetation growth conditions to meteorological drought in Shanxi Province from 2000 to 2020. Remote Sensing for Natural Resources, 2025, 37(1): 221-231.
链接本文:  
https://www.gtzyyg.com/CN/10.6046/zrzyyg.2023226      或      https://www.gtzyyg.com/CN/Y2025/V37/I1/221
Fig.1  山西省地形、植被类型及气象站点分布
Fig.2  年与月尺度SPI变化趋势
Fig.3  季尺度SPI变化趋势
土地类型 类别 年 SPI1 SPI3 SPI12 春季 夏季 秋季 冬季
耕地 z① 0.604 0.609 1.693* 2.420** 1.419 0.635 -0.544 -0.974
s 0.044 0.001 0.002 0.003 0.046 0.033 -0.025 -0.031
草地 z 2.477** 1.075 2.818*** 6.555*** 1.359 1.178 0.030 0.616
s 0.082 0.001 0.003 0.006 0.049 0.048 0.002 -0.021
林地 z 0.967 0.407 1.439 2.461** 1.571 0.574 -0.574 -0.974
s 0.034 0.000 0.001 0.002 0.050 0.033 -0.025 -0.033
无植被区 z 1.298 0.753 2.141** 3.661*** 1.480 1.238 -0.513 -0.876
s 0.051 0.001 0.002 0.003 0.040 0.050 -0.027 -0.035
Tab.1  不同植被类型下年、月与季尺度SPI变化趋势
Fig.4-1  草地春季SPI的VMD分解
Fig.4-2  草地春季SPI的VMD分解
Fig.5  年尺度VCI与SPI12的相关系数及显著性检验空间分布
Fig.6  季尺度VCI与不同时间尺度SPI的最大相关系数空间分布
Fig.7  季尺度VCI对SPI的响应时间
Fig.8  各月VCI与1~24个月时间尺度SPI的相关系数均值
土地
类型		 4月 5月 6月 7月 8月 9月 10月
R 响应时
间/月		 R 响应时
间/月		 R 响应时
间/月		 R 响应时
间/月		 R 响应时
间/月		 R 响应时
间/月		 R 响应时
间/月
耕地 0.38 8 0.41 2 0.47 5 0.49 6 0.44 7 0.37 16 0.24 9
草地 0.49 15 0.47 16 0.46 5 0.50 6 0.49 19 0.46 16 0.43 9
林地 0.33 24 0.49 3 0.37 5 0.25 18 0.28 7 0.24 16 0.37 12
无植被区 0.32 7 0.29 8 0.41 5 0.38 6 0.27 10 0.21 16 0.16 10
Tab.2  不同植被类型下生长季最大相关系数及对应时间尺度
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