Suppr超能文献

1981 年至 2018 年全球 14 个不同气候区植被的时空变化及驱动因素。

Spatiotemporal changes and driving factors of vegetation in 14 different climatic regions in the global from 1981 to 2018.

机构信息

College of Geoscience and Surveying Engineering, China University of Mining & Technology, Beijing, 100083, China.

College of Information Science and Engineering, Henan University of Technology, Zhengzhou, 450001, China.

出版信息

Environ Sci Pollut Res Int. 2022 Oct;29(50):75322-75337. doi: 10.1007/s11356-022-21138-5. Epub 2022 Jun 2.

Abstract

Climate change affects the change of vegetation, and the analysis of vegetation change and its drivers in different globe climate zones is important for ecological conservation, energy balances, and climate change in different global climate zones. Based on the vegetation leaf area index (LAI) and climate factor datasets, this paper uses an integrated empirical model decomposition, sensitivity rate, contribution rate, and geographic detector analysis method to study the vegetation drivers and their changes in 14 different climate zones around the globe from 1981 to 2018. The results showed that (1) Vegetation changes were sensitive to precipitation and evapotranspiration in arid climate zones and to temperature and soil temperature in cold climate zones. In the tundra climate zone, the sensitivity of vegetation change to temperature was higher than that to precipitation and evapotranspiration. (2) Soil moisture has the highest contribution to vegetation change, and the areas with absolute contribution rates over 60% account for 50.26% of the total area of global vegetation cover. The areas with high contributions of temperature and soil temperature to the LAI are mainly distributed in the Northern Hemisphere, which indicates that temperature has a high contribution to vegetation change in low-temperature environments. (3) The areas with significant increasing trends for the global vegetation LAIs accounted for approximately 15.32% of the total global vegetation cover (slope ≥ 0.01), which are mainly located in equatorial savannahs with dry winters, warm temperate climates with dry winters, and warm temperate climates with fully humid climatic zones. (4) The LAIs were dominated by medium-high fluctuations and sustainable increasing changes, which accounted for 61.27% and 69.34% of the total global vegetation cover area, respectively. (5) Globally, the driving factors influencing LAI changes are specific humidity, temperature, soil temperature, evapotranspiration, precipitation, and soil moisture in descending order, with the largest interaction effect of specific humidity and soil moisture on LAI changes. This research provides a scientific basis for vegetation change monitoring, driving mechanisms, and ecological protection in different climate regions around the globe.

摘要

气候变化会影响植被的变化,分析不同全球气候带的植被变化及其驱动因素对于生态保护、能量平衡和气候变化研究具有重要意义。本研究基于植被叶面积指数(LAI)和气候因子数据集,采用综合经验模型分解、敏感性率、贡献率和地理探测器分析方法,研究了 1981 年至 2018 年全球 14 个不同气候带的植被驱动因素及其变化。结果表明:(1)在干旱气候带,植被变化对降水和蒸散敏感,在寒冷气候带,植被变化对温度和土壤温度敏感。在苔原气候带,温度对植被变化的敏感性高于降水和蒸散。(2)土壤湿度对植被变化的贡献最大,绝对贡献率超过 60%的区域占全球植被覆盖总面积的 50.26%。温度和土壤温度对 LAI 贡献较高的区域主要分布在北半球,表明低温环境下温度对植被变化的贡献较大。(3)全球植被 LAI 呈显著增加趋势的区域占全球植被覆盖总面积的 15.32%(斜率≥0.01),主要分布在冬季干旱的赤道稀树草原、冬季干燥的暖温带和完全湿润的暖温带气候区。(4)LAI 以中高波动和可持续增长变化为主,分别占全球植被覆盖总面积的 61.27%和 69.34%。(5)全球范围内,影响 LAI 变化的驱动因素按降序依次为比湿、温度、土壤温度、蒸散、降水和土壤湿度,比湿和土壤湿度对 LAI 变化的交互作用最大。本研究为不同气候区的植被变化监测、驱动机制和生态保护提供了科学依据。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验