Xie Ying, Chen Yanli, Zhang Yue, Li Mingzhi, Xie Min, Mo Weihua
Guangxi Institute of Meteorological Sciences, Nanning, 530022, China.
College of Agronomy, Northwest A&F University, Yanglin, 712100, China.
Heliyon. 2023 Sep 28;9(10):e20518. doi: 10.1016/j.heliyon.2023.e20518. eCollection 2023 Oct.
Fragile karst areas of Guangxi are the key areas of vegetation protection and restoration work of the government. It is of great significance to study the effects of meteorological disasters on vegetation change for disaster prevention and reduction and ecological protection in the karst areas. The Normalized Differential Vegetation Index (NDVI), as a tool for monitoring vegetation growth, has a strong responsiveness to vegetation and can qualitatively and quantitatively evaluate the vegetation cover and its growth vitality. Therefore, in this study, we analyzed the trend of vegetation change and the impacts of multiple meteorological hazards, such as drought, torrential rainfall, high temperature, and low temperature, on the vegetation of the karst region in Guangxi by using the linear trend method, GIS spatial analysis, and correlation analysis, using the MODIS NDVI and temperature and precipitation information from 2000 to 2020 in the karst region of Guangxi. The results show that: (1) NDVI increased significantly in the karst areas, and 32.2% of the areas had significant improvement in vegetation. The improvement was the most obvious mainly in the central part of the study area, while the vegetation degradation trend was obvious in partial scattered areas in northeast and southwest. (2) On the interannual scale, NDVI was negatively correlated with some meteorological disaster indexes, such as relative humidity index, the number of drought days, the amount of extremely heavy rainstorm, the amount of heavy rainstorm, the number of days with high temperature of ≥35 °C, the number of days with high temperature of 35-37 °C, the number of days with high temperature of ≥37 °C, the minimum temperature, and the effective accumulated temperature of ≤0 °C. The obvious negative effect area of drought on vegetation was mainly concentrated in the middle of the study area, and that of rainfall was mainly distributed in the southwest, northeast and northwest; that of high temperature was mainly distributed in the northwest and northeast, and that of low temperature was mainly concentrated in the southwest and north. (3) On the multi-year monthly scale, the responses of NDVI to drought, high temperature and low temperature disaster indexes had a lag effect, but had no lag effect on rainfall disaster indexes. The lag time of vegetation to drought was 1 month, and the lag time to high temperature and low temperature was 3 months.
广西岩溶石漠化地区是政府植被保护与恢复工作的重点区域。研究气象灾害对植被变化的影响,对于岩溶地区的防灾减灾和生态保护具有重要意义。归一化植被指数(NDVI)作为监测植被生长的工具,对植被具有较强的响应能力,能够定性和定量地评估植被覆盖度及其生长活力。因此,本研究利用线性趋势法、GIS空间分析和相关性分析,借助广西岩溶地区2000—2020年的MODIS NDVI以及气温和降水信息,分析了广西岩溶地区植被变化趋势以及干旱、暴雨、高温和低温等多种气象灾害对植被的影响。结果表明:(1)岩溶地区NDVI显著增加,32.2%的区域植被有显著改善。改善最明显的主要在研究区中部,而在东北部和西南部的部分零散区域植被退化趋势明显。(2)在年际尺度上,NDVI与一些气象灾害指标呈负相关,如相对湿度指数、干旱天数、特大暴雨量、暴雨量、≥35℃高温日数、35—37℃高温日数、≥37℃高温日数、最低气温以及≤0℃有效积温。干旱对植被的明显负面影响区域主要集中在研究区中部,降雨的影响主要分布在西南部、东北部和西北部;高温的影响主要分布在西北部和东北部,低温的影响主要集中在西南部和北部。(3)在多年月尺度上,NDVI对干旱、高温和低温灾害指标的响应具有滞后效应,但对降雨灾害指标无滞后效应。植被对干旱的滞后时间为1个月,对高温和低温的滞后时间为3个月。