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生态学杂志 ›› 2025, Vol. 44 ›› Issue (6): 2029-2041.doi: 10.13292/j.1000-4890.202506.014

• 研究论文 • 上一篇    下一篇

2000—2022年湖南省不同地区植被覆盖度的时空变化特征及影响因素

许发清1,何介南1,杨浩2,粟一峰3,李春华1*
  

  1. 1中南林业科技大学林学院, 湖南省水土保持与荒漠化防治重点实验室, 长沙 410004; 2中国建筑材料工业地质勘查中心湖南总队, 湖南株洲 412000; 3怀化学院生物与食品工程学院, 湖南怀化 418000)

  • 出版日期:2025-06-10 发布日期:2025-06-10

Spatiotemporal variations and influencing factors of vegetation coverage in different regions of Hunan Province during 2000 to 2022.

XU Faqing1, HE Jienan1, YANG Hao2, SU Yifeng3, LI Chunhua1*   

  1. (1Key Laboratory of Soil and Water Conservation and Desertification Combating of Hunan Province, College of Forestry, Central South University of Forestry and Technology, Changsha 410004, China; 2China Building Materials Industry Geological Survey Centre, Hunan Headquarters, Zhuzhou 412000, Hunan, China; 3College of Biology and Food Engineering, Huaihua University, Huaihua 418000, Hunan, China).

  • Online:2025-06-10 Published:2025-06-10

摘要: 探究不同地区植被的时空变化及其对气候响应的研究,对区域生态保护与可持续发展至关重要。本研究将湖南省划分为4个主要地理区域,利用Landsat影像数据,构建了基于绿色归一化差异植被指数(GNDVI)的植被覆盖度(GFVC),并采用趋势分析、相关性分析及滞后性检验揭示了湖南省不同地区植被覆盖度的时空变化特征,厘清了气温和降水对GFVC的影响,分析了人类活动对植被演替的影响。结果表明:(1)湖南省不同地区的GFVC时空差异显著,长株潭、洞庭湖和湘中南地区的GFVC增长显著,分布类型主要为中高植被覆盖区,湘西地区则并不显著,分布类型主要为高植被覆盖区。(2)4个地区的植被演替趋势均以改善趋势为主,退化趋势均占比较低,其中,湘西地区的轻微退化占比较高,为30.0%,其余地区占比较少。(3)各地区的植被演替趋势均以持续改善趋势为主,尤其是长株潭、洞庭湖及湘中南地区,持续改善面积占比分别为63.9%、59.6%和69.8%;而湘西地区则相对较少,占48.5%。(4)除湘西地区外,其余地区的GFVC均与降水呈显著负相关,与气温则呈显著正相关,且各地区GFVC与气候因素均存在不同程度的滞后效应。(5)人类活动显著促进了湖南省不同地区的植被恢复,但仍应重视因城市化和工业化扩张所产生的环境威胁。综上所述,本研究揭示了湖南省植被演替趋势的区域异质性,明确了气候变化和人类活动带来的影响,为制定区域生态保护策略提供了理论基础和数据支撑。


关键词: 植被覆盖度, 遥感监测, 时空变化, 气候响应, 湖南省

Abstract: Exploring the spatiotemporal variations of vegetation and its response to climate change is crucial for regional ecological protection and sustainable development. We divided Hunan Province into four main geographical regions utilized Landsat image data to construct the green fractional vegetation cover (GFVC) based on the green normalized difference vegetation index (GNDVI). By using trend analysis, correlation analysis, and lag-effect tests, we examined the spatiotemporal variations of GFVC in different regions of Hunan Province, elucidated the impact mechanisms of temperature and precipitation on GFVC, and disclosed the influence of human activities on vegetation succession. The results showed that: (1) There were significant spatiotemporal variations in GFVC across different regions of Hunan. The Changsha-Zhuzhou-Xiangtan region, Dongting Lake region, and south-central Hunan exhibited significant growth of GFVC, with the distribution type being mainly the medium-high vegetation cover. The GFVC in western Hunan did not show significant growth, with the distribution type being primarily high vegetation coverage.  (2) The trend of vegetation succession in all the four regions was generally improving, with degradation trends accounting for a relative low proportion. Among them, the proportion of slight degradation was higher in western Hunan, accounting for 30.0%, while it was lower in the other regions. (3) The vegetation succession trend in all regions was primarily characterized by continuous improvement, particularly in the Changsha-Zhuzhou-Xiangtan region, Dongting Lake region, and south-central Hunan, where the continuous improvement areas accounted for 63.9%, 59.6%, and 69.8%, respectively. In contrast, the area of continuous improvement in western Hunan was relatively lower, accounting for 48.5%. (4) In all regions except western Hunan, GFVC was significantly negatively correlated with precipitation and positively correlated with temperature. There was avarying degree of lag effects between GFVC and climate factors in each region. (5) Human activities significantly stimulated vegetation restoration in Hunan Province, but the environmental threats from urbanization and industrial expansion should not be overlooked. In conclusion, this study revealed the regional heterogeneity of vegetation succession trends in Hunan Province, and clarified the impacts of climate change and human activities, which provides a theoretical basis and data support for formulating region-specific ecological protection strategies.


Key words: vegetation cover, remote sensing monitoring, spatiotemporal dynamics, climate response, Hunan Province