Spatial and temporal analysis of drought resistance of different vegetation in the Ta-pieh Mountains based on multi-source data

IF 2.7 4区 环境科学与生态学 Q2 WATER RESOURCES
Huimin Li, Shaowei Ning, Yuliang Zhou, Chengguo Wu, Yi Cui, Juliang Jin, Xiaoyan Xu, A. Rong, Yang Cheng
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Abstract

Abstract This study focuses on the ecological and environmental safety of Ta-pieh Mountain. Drought episodes can lead to ecological problems such as vegetation damage. Therefore, quantifying the response of vegetation to drought is essential for ecological management. The study utilized normalized difference vegetation index (NDVI) and precipitation datasets from 1999 to 2019 to derive seasonal NDVI and standardized precipitation index (SPI) data. Using Theil-Sen median trend analysis and Mann-Kendall significance test analysis, we initially examined the characteristics of vegetation and drought for the 21-year time series. SPI is used to investigate and assess the occurrence and severity of drought in the research region. Then, the strength and variability of cropland, woodland, and grassland drought resistance in the Ta-pieh Mountains were discussed using the ratio of coefficient of variation (RCV). Finally, the cross-spectrum was used to calculate the vegetation lag time to drought. The study found that NDVI increased across all seasons, while SPI increased in spring and autumn and decreased in summer and winter. The spring drought had the most significant impact on vegetation. Cropland showed the highest improvement in drought tolerance and woodland showed the highest drought tolerance. The lagged response periods of cropland, woodlands, and grassland to drought were 1.62 months, 8.94 months, and 2.49 months, respectively. These findings provide a scientific basis for the management and preservation of the ecology of the Ta-pieh Mountains.
基于多源数据的塔皮山不同植被抗旱性时空分析
摘要本文以大饼山生态环境安全为研究对象。干旱会导致生态问题,如植被破坏。因此,量化植被对干旱的响应对生态管理至关重要。利用1999 - 2019年的归一化植被指数(NDVI)和降水数据集,得到季节NDVI和标准化降水指数(SPI)数据。利用Theil-Sen中位数趋势分析和Mann-Kendall显著性检验分析,初步考察了21年时间序列的植被和干旱特征。利用SPI对研究区干旱的发生和严重程度进行调查和评价。在此基础上,利用变异系数比(RCV)分析了塔皮山农田、林地和草地抗旱性的强度和变异度。最后,利用交叉光谱法计算植被对干旱的滞后时间。研究发现,NDVI在各季节均呈上升趋势,SPI在春秋季呈上升趋势,在夏冬季呈下降趋势。春季干旱对植被的影响最为显著。农田抗旱性提高最高,林地抗旱性提高最高。耕地、林地和草地对干旱的滞后响应期分别为1.62个月、8.94个月和2.49个月。这些发现为大派山的生态管理和保护提供了科学依据。
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来源期刊
CiteScore
4.80
自引率
10.70%
发文量
168
审稿时长
>12 weeks
期刊介绍: Journal of Water and Climate Change publishes refereed research and practitioner papers on all aspects of water science, technology, management and innovation in response to climate change, with emphasis on reduction of energy usage.
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