基于AVHRR和MODIS数据源的山东省植被覆盖时空变化及其对极端气候的响应

刘健; 申浩; 王善琦; 李鹏; 郑昭佩

doi:10.13961/j.cnki.stbctb.2023.02.021

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基于AVHRR和MODIS数据源的山东省植被覆盖时空变化及其对极端气候的响应

试验研究

- 基于AVHRR和MODIS数据源的山东省植被覆盖时空变化及其对极端气候的响应
- Temporal and Spatial Variation of Vegetation Cover and Its Response to Extreme Climate in Shandong Province Based on AVHRR and MODIS Data Sources
- 水土保持通报 2023年43卷第2期页码：173-182
- 作者机构：
  
  1. 山东师范大学地理与环境学院,山东,济南,250358
  2. 济南市生态环境局长清分局,山东,济南,250300
- 作者简介：
- 基金信息：
  
  国家自然科学基金青年项目“棕壤坡面颗粒有机碳流失对团聚体破碎的响应”(41907055)
- DOI：10.13961/j.cnki.stbctb.2023.02.021
  中图分类号： P467;Q948.1
- 纸质出版：2023
- 稿件说明：
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刘健, 申浩, 王善琦, 等. 基于AVHRR和MODIS数据源的山东省植被覆盖时空变化及其对极端气候的响应[J]. 水土保持通报, 2023,43(2):173-182.

Liu Jian, Shen Hao, Wang Shanqi, et al. Temporal and Spatial Variation of Vegetation Cover and Its Response to Extreme Climate in Shandong Province Based on AVHRR and MODIS Data Sources[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 173-182.
刘健, 申浩, 王善琦, 等. 基于AVHRR和MODIS数据源的山东省植被覆盖时空变化及其对极端气候的响应[J]. 水土保持通报, 2023,43(2):173-182. DOI： 10.13961/j.cnki.stbctb.2023.02.021.

Liu Jian, Shen Hao, Wang Shanqi, et al. Temporal and Spatial Variation of Vegetation Cover and Its Response to Extreme Climate in Shandong Province Based on AVHRR and MODIS Data Sources[J]. Bulletin of Soiland Water Conservation, 2023, 43(2): 173-182. DOI： 10.13961/j.cnki.stbctb.2023.02.021.

摘要

[目的] 研究山东省的植被覆盖变化和极端气候的关系，以期为区域植被生态维护提供科学借鉴。 [方法] 基于AVHRR-GIMMS NDVI对MODIS NDVI插补获取的1982—2021年长时间序列NDVI数据集，分析山东省NDVI的时空变化，并结合该省96个气象站的逐日数据，研究NDVI对极端气候的响应。 [结果] ①山东省及各分区NDVI总体呈强持续性的显著上升趋势，该省平均增速为0.013/10 a(p＜0.001)；空间上NDVI大体呈西高东低，南高北低分布；空间趋势上植被覆盖以强持续性显著改善和基本不变为主。 ②整体上NDVI与年和月的极端气温暖指数、极端降水指数以显著正相关为主，与冷指数以显著负相关为主，与GSL，DTR相关性不显著；空间上鲁西平原区主要受极端气温的影响，其他分区对极端气温和极端降水均响应明显。 ③NDVI对极端气候的响应具有明显的滞后性，且对极端气温的滞后性比对极端降水的滞后性强。 [结论] 山东省植被覆盖总体向持续改善的方向发展；NDVI对极端气候响应明显，极端高温和极端降水对植被生长总体起促进作用，而极端低温以抑制作用为主；植被覆盖变化对极端气候响应存在滞后性。

Abstract

[Objective] The relationship between vegetation cover changes and extreme climate in Shandong Province was studied in order to provide a reference for regional vegetation ecological maintenance. [Methods] Based on the 1982—2021 long-term NDVI data set obtained from AVHRR-GIMMS NDVI interpolation of MODIS NDVI

the temporal and spatial changes of NDVI in Shandong Province were analyzed

and the daily data of 96 weather stations in the province were combined to study the response of NDVI to extreme climate. [Results] ① NDVI in Shandong Province and its subregions showed an overall strong and sustained upward trend

with an average growth rate of 0.013/10 yr (p＜0.001) for the entire province. NDVI was generally high in the west and low in the east

and high in the south and low in the north. On the spatial scale

the vegetation cover was mainly improved and basically unchanged in strong sustainability. ② On the whole

NDVI showed a significant positive correlation with annual and monthly extreme temperature and extreme precipitation indices; a significant negative correlation with the cold index; and no significant correlation with GSL and DTR. Western Shandong Plain was mainly affected by extreme temperature

and other subregions responded greatly to both extreme temperature and extreme precipitation. ③ The response of NDVI to extreme climate exhibited obvious hysteresis

and the hysteresis of extreme temperature was stronger than that of extreme precipitation. [Conclusion] The overall vegetation coverage in Shandong Province was developing in the direction of continuous improvement. NDVI exhibited an obvious response to extreme climate. Extreme high temperature and extreme precipitation promoted vegetation growth

while extreme low temperature mainly inhibited vegetation growth. There was a lag in the response of vegetation cover changes to extreme climates.

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