SPATIAL-TEMPORAL CHANGE PATTERNS OF VEGETATION AND THE INFLUENCE OF CLIMATIC FACTORS IN YUNNAN PROVINCE, CHINA FROM 2000 TO 2020

被引:4
作者
Chen, C. [1 ,2 ]
Wang, J. X. [3 ]
Gan, S. [1 ,2 ]
Yuan, X. P. [2 ,4 ]
Luo, W. [1 ,2 ]
机构
[1] Kunming Univ Sci & Technol, Sch Land Resources Engn, Kunming 650093, Peoples R China
[2] Spatial Informat Surveying & Mapping Technol Plate, Plicat Engn Res Ctr, Kunming 650093, Peoples R China
[3] Yunnan Agr Univ, Water Conservancy Coll, Kunming 650201, Yunnan, Peoples R China
[4] Univ Yunnan Prov, West Yunnan Univ Appl Sci, Key Lab Mt Real Scene Point Cloud Data Proc & Appl, Dali 671006, Peoples R China
来源
APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH | 2023年 / 21卷 / 06期
基金
中国国家自然科学基金;
关键词
climate change; future trends; spatial-temporal changes of NDVI; stability analysis; trend analysis; DRIVING FORCES; DYNAMICS; NDVI; COVER;
D O I
10.15666/aeer/2106_52655283
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
Vegetation is extremely important for the ecosystem, it is an important link that connects soil, organisms, and the atmosphere. As plants perform photosynthesis, carbon cycle and energy ex-change, they play a balancing role for global ecological changes. Based on the datasets of MODIS Normalized Difference Vegetation Index (NDVI) and the daily meteorological data from 25 weather stations in Yunnan province, China, the spatial and temporal distribution characteristics of NDVI over a 21-year-period were studied, and the response relationship between NDVI and climate factors. The monthly and yearly spatial distribution pattern of NDVI was further explored using the standard deviational ellipse. Besides, the changing trend, stability, and characteristics of the future changing trend of the vegetation NDVI were evaluated through Sen+MK, coefficient of variation, and the Hurst index in Yunnan province, China. A partial correlation analysis was carried out using the NDVI data based on the temperature and precipitation from 2000 to 2020. The center of gravity of Yunnan is mainly from south-west to north-east, and the trend for the NDVI during the past 21 years mostly improved. However, in the future, the vegetation may follow the trend of degradation, and the study area is more affected by temperature. In recent years, the average temperature throughout the world has been on the rise due to global warming, which has elicited the response of vegetation to climate change in advance. The vegetation in Yunnan is showing an increasing trend, Moreover, it is particularly important to protect the ecological environment in the protected region.
引用
收藏
页码:5265 / 5283
页数:19
相关论文
共 48 条
[1]  
[白冰 Bai Bing], 2021, [经济地理, Economic Geography], V41, P1
[2]   Long time-series NDVI reconstruction in cloud-prone regions via spatio-temporal tensor completion [J].
Chu, Dong ;
Shen, Huanfeng ;
Guan, Xiaobin ;
Chen, Jing M. ;
Li, Xinghua ;
Li, Jie ;
Zhang, Liangpei .
REMOTE SENSING OF ENVIRONMENT, 2021, 264 (264)
[3]   NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015 [J].
Chu, Hongshuai ;
Venevsky, Sergey ;
Wu, Chao ;
Wang, Menghui .
SCIENCE OF THE TOTAL ENVIRONMENT, 2019, 650 :2051-2062
[4]  
Daurina, 2019, EFFECTS CLIMATE LAND
[5]  
[董镱 Dong Yi], 2020, [中国农业大学学报, Journal of China Agricultural University], V25, P120
[6]   Robust increase in population exposure to heat stress with increasing global warming [J].
Freychet, Nicolas ;
Hegerl, Gabriele C. ;
Lord, Natalie S. ;
Lo, Y. T. Eunice ;
Mitchell, Dann ;
Collins, Matthew .
ENVIRONMENTAL RESEARCH LETTERS, 2022, 17 (06)
[7]  
Gao S., 2018, J NATURAL RESOURCES, V33, P425
[8]   Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance [J].
Goetz, SJ ;
Bunn, AG ;
Fiske, GJ ;
Houghton, RA .
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2005, 102 (38) :13521-13525
[9]   近20年杭锦旗植被覆盖变化特征及驱动力分析 [J].
何亮 ;
梁海荣 ;
李钢铁 ;
刘雪锋 ;
齐容镰 ;
杨文斌 .
生态与农村环境学报, 2021, 37 (05) :587-596
[10]   The human imperative of stabilizing global climate change at 1.5°C [J].
Hoegh-Guldberg, O. ;
Jacob, D. ;
Taylor, M. ;
Bolanos, T. Guillen ;
Bindi, M. ;
Brown, S. ;
Camilloni, I. A. ;
Diedhiou, A. ;
Djalante, R. ;
Ebi, K. ;
Engelbrecht, F. ;
Guiot, J. ;
Hijioka, Y. ;
Mehrotra, S. ;
Hope, C. W. ;
Payne, A. J. ;
Poertner, H. -O. ;
Seneviratne, S. I. ;
Thomas, A. ;
Warren, R. ;
Zhou, G. .
SCIENCE, 2019, 365 (6459) :1263-+