1982—2019年长江经济带植被覆盖变化的时空特征

doi:10.13292/j.1000-4890.202108.036

生态学杂志 ›› 2021, Vol. 40 ›› Issue (8): 2517-2529.doi: 10.13292/j.1000-4890.202108.036

1982—2019年长江经济带植被覆盖变化的时空特征

崔浩楠^1,2,罗海江³,张学珍^1*

(¹中国科学院地理科学与资源研究所，陆地表层格局与模拟院重点实验室，北京 100101； ²中国矿业大学（北京）地球科学与测绘工程学院，北京 100083; ³中国环境监测总站，北京 100012)

出版日期:2021-08-10 发布日期:2021-08-17

Temporal and spatial characteristics of green vegetation cover changes in the Yangtze River Economic Belt from 1982 to 2019.

CUI Hao-nan^1,2, LUO Hai-jiang³, ZHANG Xue-zhen^1*

(¹Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China; ²School of Earth Science and Surveying Engineering, China University of Mining and Technology, Beijing 100083, China; ³China National Environmental Monitoring Centre, Beijing 100012, China).

Online:2021-08-10 Published:2021-08-17

摘要/Abstract

摘要： 以长江经济带为研究区，利用两套NDVI数据集（GIMMS3g NDVI和MODIS-NDVI）和中国气象基本要素月值数据集，基于1982—2019年暖季（4—10月）平均NDVI及变化，解析了植被覆盖变化的时空特征，借助气温、降水和辐射气象数据与NDVI进行多元回归及残差分析，量化了气候要素和非气候要素对植被覆盖时空变化的贡献。结果表明：1982—2019年长江经济带多数区域暖季平均NDVI>0.5，植被覆盖较好；1982—2019年长江经济带暖季平均NDVI呈显著增加趋势，但伴随鲜明的阶段性特征；1982—1990年植被覆盖明显增加，主导因素是非气候因素，典型地区是四川、云南中南部和西北部、湖南东部及江西地区；1990—2003年植被覆盖总体平稳，局部降低，气候因素主导的增加与非气候因素主导的降低趋势强度相当，基本相互抵消，气候驱动NDVI增加的典型区域为江西南部、重庆和贵州等地，非气候要素驱动NDVI降低的典型区域为长三角、黄淮平原、长江中下游平原和四川盆地等区域；2003—2019年植被覆盖又显著上升，气候和非气候因素共同驱动植被覆盖增加，二者贡献相当。总体来说，1982—2019年，非气候要素对植被覆盖变化的影响大于气候因素的影响。

关键词: NDVI, 植被覆盖, 气候要素, 非气候要素, 多元回归残差分析

Abstract: We used two NDVI datasets (GIMMS3g NDVI and MODIS NDVI) and a monthly dataset of basic meteorological elements in China to analyze the temporal and spatial variations of vegetation cover in the Yangtze River Economic Belt, based on the average NDVI and its dynamics in the warm season (April–October) from 1982 to 2019. The contribution of climatic and nonclimatic factors to the spatiotemporal variation of vegetation cover was quantified. The results showed that, during 1982-2019, the average warm season NDVI of most regions in the Yangtze River Economic Belt was higher than 0.5, suggesting a favorable vegetation coverage. From 1982 to 2019, the average warm season NDVI of the Yangtze River Economic Belt showed a significant increasing trend, but with distinct stage characteristics. From 1982 to 1990, vegetation coverage significantly increased, with the dominant contribution of non-climatic factors. The typical areas in this stage included Sichuan, Central South and Northwest Yunnan, eastern Hunan, and Jiangxi. From 1990 to 2003, vegetation coverage was generally stable, but decreased in some particular locations. The intensity of the enhancement dominated by climatic factors was equal to that of the reduction dominated by non-climatic factors, which were basically offset. The typical regions with increases of climate-driven NDVI included southern Jiangxi, Chongqing and Guizhou, while the typical regions with decreases of non-climate-driven NDVI included Yangtze River Delta, Huanghuai Plain, plains of the middle and lower reaches of the Yangtze River, and Sichuan Basin. From 2003 to 2019, the vegetation coverage increased significantly, driven by both climate and non-climate factors, and with almost equal contributions. In general, the impacts of non-climatic factors on vegetation cover were greater than that of climatic factors during 1982 to 2019.

Key words: NDVI, green vegetation cover, climatic element, non-climatic element, multiple regression residual analysis.

崔浩楠, 罗海江, 张学珍. 1982—2019年长江经济带植被覆盖变化的时空特征[J]. 生态学杂志, 2021, 40(8): 2517-2529.

CUI Hao-nan, LUO Hai-jiang, ZHANG Xue-zhen. Temporal and spatial characteristics of green vegetation cover changes in the Yangtze River Economic Belt from 1982 to 2019.[J]. Chinese Journal of Ecology, 2021, 40(8): 2517-2529.

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1982—2019年长江经济带植被覆盖变化的时空特征

Temporal and spatial characteristics of green vegetation cover changes in the Yangtze River Economic Belt from 1982 to 2019.

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