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[1]JING Juanli,DENG Qifang,HE Caixia,et al.Spatiotemporal Evolution of NDVI and Its Climatic Driving Factors in the Southwest Karst Area from 1999 to 2019[J].Research of Soil and Water Conservation,2023,30(03):232-239.[doi:10.13869/j.cnki.rswc.2023.03.016]

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Spatiotemporal Evolution of NDVI and Its Climatic Driving Factors in the Southwest Karst Area from 1999 to 2019

Research of Soil and Water Conservation[ISSN 1005-3409/CN 61-1272/P] Volume: 30 Number of periods: 2023 03 Page number: 232-239 Column: Public date: 2023-04-10

Title:: Spatiotemporal Evolution of NDVI and Its Climatic Driving Factors in the Southwest Karst Area from 1999 to 2019

Author(s):: JING Juanli^1,2, DENG Qifang¹, HE Caixia¹, WANG Yongfeng^1,2, MA Bingxin¹; (1.College of Geomatics and Geoinformation, Guilin University of Technology, Guilin, Guangxi 541004, China; 2.Guangxi Key Laboratory of Spatial Information and Geomatics, Guilin, Guangxi 541004, China)

Keywords:: southwest karst area; SPOT NDVI; trend analysis; M-K test; partial correlation coefficient

CLC:: Q948.112

DOI:: 10.13869/j.cnki.rswc.2023.03.016

Abstract:: [Objective]The ecological environment is fragile in the southwest karst area of China. It is of great significance to study its vegetation cover change and climate driving mechanism. [Methods] Based on the SPOT NDVI, temperature and precipitation data at 209 meteorological stations during 1999—2019, we used trend analysis, Theil-Sen+Mann-Kendall test, partial correlation coefficient and multiple correlation coefficient to study the spatiotemporal evolution of NDVI and its climatic driving in the southwest karst area. [Results] NDVI showed a significant upward trend during 1999—2019, and the overall vegetation coverage was relatively good in the southwest karst area. NDVI mainly showed an extremely significant upward trend, and only 5.73% of the areas showed a trend of degradation. NDVI had the positive partial correlation with temperature and precipitation on the whole. The influence of temperature on NDVI was stronger than that of precipitation, and there were spatial differences. The areas where the multiple correlation between NDVI and temperature and precipitation passed 0.05 and 0.01 significant levels accounted for 15.12%, 5.68%, respectively. NDVI was mainly driven by temperature, accounting for 13.90% of the study area, and the proportion driven by other climate factors was not more than 3%. [Conclusion] The spatial and temporal variation characteristics of vegetation cover were revealed and the driving mechanism of climatic factors on vegetation cover changes had been clarified in the southwest karst areas of China.

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Last Update: 2023-04-10