| 引用本文: | 余 玲, 何 文, 刘 鹏, 刘思琴, 凌嘉宣, 李猛猛, 李 宁, 家 彬.广西森林NDVI的时空变化特征及其对干旱响应的敏感性分析[J].广西植物,2026,46(6):968-977.[点击复制] |
| YU Ling, HE Wen, LIU Peng, LIU Siqin, LING Jiaxuan,
LI Mengmeng, LI Ning, JIA Bin.Spatiotemporal variations of forest NDVI in Guangxi and its sensitivity to drought[J].Guihaia,2026,46(6):968-977.[点击复制] |
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| 广西森林NDVI的时空变化特征及其对干旱响应的敏感性分析 |
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余 玲1,3, 何 文2,3*, 刘 鹏1, 刘思琴1, 凌嘉宣1, 李猛猛1, 李 宁4, 家 彬5
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1. 桂林航天工业学院 计算机科学与工程学院, 广西 桂林 541004;2. 广西壮族自治区
中国科学院 广西植物研究所, 广西喀斯特植物保育与
恢复生态学重点实验室, 广西 桂林 541006;3. 广西桂林城市生态系统定位观测研究站, 广西 桂林 541006;4. 桂林航天工业学院
航空服务与旅游管理学院, 广西 桂林 541004;5. 桂林航天工业学院 人工智能学院, 广西 桂林 541004
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| 摘要: |
| 为研究广西森林对干旱响应的敏感性,揭示该地区森林生态系统在干旱胁迫下的稳定性、抵抗力和恢复力特征,该文利用标准化降水蒸散指数(SPEI)和归一化差值植被指数(NDVI),量化了2010—2022年广西森林在干旱胁迫下的稳定性、抵抗力和恢复力。结果表明:(1)研究期间,广西森林地区干旱总体呈“先缓解后加剧”的变化趋势。(2)近十年来广西森林NDVI以0.06 a-1的速率增加,其中喀斯特地区增幅大于非喀斯特地区,人工林增幅大于天然林。(3)在干旱胁迫下,NDVI稳定性与抵抗力呈现一致的空间分布特征,而恢复力则呈现出相反的空间格局。(4)非喀斯特地区森林NDVI的稳定性和抵抗力高于喀斯特地区,而喀斯特地区恢复力高于非喀斯特地区; 此外,天然林NDVI的稳定性、抵抗力和恢复力均高于人工林。该研究结果表明,广西森林NDVI对干旱的响应存在显著的区域差异与林型差异,可为广西森林干旱适应性管理及生态系统恢复提供科学依据。 |
| 关键词: 森林, 归一化差值植被指数(NDVI), 干旱, 植被敏感性, 抵抗力, 恢复力 |
| DOI：10.11931/guihaia.gxzw202511012 |
| 分类号:Q948 |
| 文章编号:1000-3142(2026)06-0968-10 |
| 基金项目:桂林航天工业学院人才引进科研启动项目(KX202403001); 广西自然科学基金项目(2024GXNSFAA010318, 2023GXNSFBA026288); 广西喀斯特植物保育与恢复生态学重点实验室资助项目(22-035-26)。 |
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| Spatiotemporal variations of forest NDVI in Guangxi and its sensitivity to drought |
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YU Ling1,3, HE Wen2,3*, LIU Peng1, LIU Siqin1, LING Jiaxuan1,
LI Mengmeng1, LI Ning4, JIA Bin5
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1. School of Computer Science and Engineering, Guilin University of Aerospace Technology, Guilin 541004, Guangxi, China;2. Guangxi Key
Laboratory of Plant Conservation and Restoration Ecology in Karst Terrain, Guangxi Institute of Botany, Guangxi Zhuang Autonomous Region
and Chinese Academy of Sciences, Guilin 541006, Guangxi, China;3. Guangxi Guilin Urban EcosystemObservation and Research
Station, Guilin 541006, Guangxi, China;4. School of Airline Services and Tourism Management, Guilin University of
Aerospace Technology, Guilin 541004, Guangxi, China;5. School of Artificial Intelligence, Guilin University
of Aerospace Technology, Guilin 541004, Guangxi, China
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| Abstract: |
| To investigate the sensitivity of forests in Guangxi to drought and to reveal the characteristics of stability, resistance, and resilience of forest ecosystems under drought stress, standardized precipitation evapotranspiration index(SPEI)and normalized difference vegetation index(NDVI)were used to analyze stability, resistance, and resilience of forests in Guangxi during 2010-2022. The results were as follows:(1)During the study period, drought conditions in the Guangxi forest region exhibited an overall pattern characterized by an initial decreasing trend followed by an increasing trend, indicating a shift from relatively wetter conditions to increased drought stress in recent years.(2)Over the past decade, forest NDVI in Guangxi increased at a rate of 0.06 a-1, with greater increases observed in karst region than in non-karst region, and in planted forest than in natural forest, suggesting that vegetation growth dynamics differed significantly across regions and forest types.(3)The spatial pattern of NDVI stability was similar to that of resistance under drought conditions, whereas resilience exhibited an opposite spatial pattern, reflecting a trade-off between the ability of forests to resist drought disturbances and their capacity to recover after disturbance.(4)The stability and resistance of forest NDVI in non-karst region were higher than those in karst region, while the resilience was greater in karst region; in addition, natural forest exhibited higher stability, resistance, and resilience than planted forest. Overall, these results indicate that the response of forest NDVI to drought in Guangxi exhibits pronounced regional and forest-type differences, and provide a scientific basis for adaptive forest management and ecosystem restoration under drought conditions. |
| Key words: forest, normalized difference vegetation index(NDVI), drought, vegetation sensitivity, resistance, resilience |
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