1982-2022年中国北方草地NDVI变化及其对极端气候事件的响应OA
Changes in grassland NDVI in northern China from 1982 to 2022 and their response to extreme climate events
近几十年来,全球极端气候事件的强度和频率明显增加,导致陆地生态系统结构和功能发生明显改变.作为生态脆弱区和重要碳汇区,中国北方草地的植被动态与极端气候事件之间的关联性、空间分异规律以及主导驱动因子的识别仍然是研究的重点和难点.本研究基于 1982-2022 年长时间序列的全球库存建模与制图研究归一化差异植被指数(GIMMS NDVI)数据,并结合 15 个极端气候指标,采用趋势分析、相关分析和相对重要性分析等方法,系统地解析了中国北方草地 NDVI 的时空演变特征及其对极端气候事件的响应规律.结果表明:1)中国北方草地 NDVI 整体上呈现显著的上升趋势(P<0.05),年均变化速率为 0.000 2·a-1.不同草地类型的 NDVI 增速存在显著差异,其中温性典型草原的 NDVI 增速最快,温性草甸草原和荒漠草原的 NDVI 增速次之;2)在极端温度指标方面,草地 NDVI 与暖昼日数(TX90p)、暖夜日数(TN90p)和最低气温(TMINmean)之间存在显著的正相关关系,而与霜冻日数(FD)则呈显著负相关关系;3)草地 NDVI 与 6 个极端降水指标之间普遍存在正相关关系,尤其是与强降水量(R95p)、极强降水量(R99p)和 1 日最大降水量(RX1day)指标的相关性显著(P<0.05);4)R95p 和 TN90p 是影响中国北方草地 NDVI 变化的主要驱动因子,分别主导了 17.1%和 11.6%的区域面积.随着 TN90p 的增加,草地 NDVI 持续上升,而随着 R95p的增加,草地 NDVI 则表现为先增加后降低的趋势,其转折点约为 550 mm.
In recent decades,the intensity and frequency of extreme global climate events have increased significantly,resulting in significant changes in the structure and function of terrestrial ecosystems.The grasslands in northern China are an ecologically fragile and important carbon sink area,and the correlation between vegetation dynamics in the grasslands and extreme climate events,patterns of spatial separation,and identification of the dominant driving factors remain key research challenges.Based on long-term global inventory modeling and mapping studies normalized difference vegetation index(GIMMS NDVI)data from 1982 to 2022 in combination with 15 extreme climate indicators,spatiotemporal evolution characteristics of the normalized difference vegetation index(NDVI)of the grasslands and their response to extreme climate events were systematically analyzed using trend,correlation,and relative importance analyses.The results were as follows:1)Grassland NDVI in northern China showed a significant upward trend as a whole(P<0.05),and the average annual change rate was 0.000 2·a-1.Significant differences were observed in the growth rates of NDVI for different grassland types.Among them,the NDVI growth rate for temperate typical grasslands was the fastest,followed by those of temperate meadow grasslands and desert grasslands.2)In terms of extreme temperature indicators,a significant positive correlation was detected between grassland NDVI and number of warm days(TX90p),number of warm nights(TN90p),and minimum temperature(TMINmean),whereas a significant negative correlation was observed with frost days(FD)(P<0.05).3)A generally positive correlation was detected between grassland NDVI and six extreme precipitation indicators,especially with significant correlations(P<0.05)with Heavy precipitation(R95p),extremely heavy precipitation(R99p),and maximum daily precipitation(RX1day)indicators.4)R95p and TN90p are the main drivers affecting the changes in grassland NDVI in northern China,dominating 17.1%and 11.6%of the regional area,respectively.With the increase in TN90p,grassland NDVI continued to increase,whereas with the increase in R95p,grassland NDVI showed a trend of increasing first and then decreasing,with a turning point at approximately 550 mm.
何燮;韩雨杉;张宸嘉;孟宝平;李猛;杨玉婷;孙义
南通大学地理科学学院,江苏 南通 226007南通大学地理科学学院,江苏 南通 226007南通大学地理科学学院,江苏 南通 226007南通大学地理科学学院,江苏 南通 226007南通大学地理科学学院,江苏 南通 226007南通大学地理科学学院,江苏 南通 226007兰州大学草种创新与草地农业生态系统全国重点实验室,甘肃 兰州 730000
中国北方草地归一化差异植被指数极端气候事件驱动因素
grassland of northern Chinanormalized difference vegetation indexextreme climatic eventsdriving factors
《草业科学》 2026 (4)
1052-1066,15
青海省自然科学基金项目(2024-ZJ-750)国家自然科学基金资助项目(42301111)青海省林业和草原局2025年省级财政林草科技推广示范项目(QLK-2025-86)中国科学院战略性先导科技专项(XDA26050501)
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