Wu Guangxia,Liu Suihua,Deng Lingling,et al.Analysis of spatiotemporal changes and driving factors of vegetation in Guizhou Province based on KNDVI[J].Research of Soil and Water Conservation,2025,32(03):222-230.[doi:10.13869/j.cnki.rswc.2025.03.026]
基于KNDVI的贵州省植被时空变化及其驱动分析
- Title:
- Analysis of spatiotemporal changes and driving factors of vegetation in Guizhou Province based on KNDVI
- 文章编号:
- 1005-3409（2025）03-0222-09
- Keywords:
- KNDVI; vegetation; spatiotemporal changes; driving factors; Guizhou Province
- 分类号:
- Q948.1
- 文献标志码:
- A
- 摘要:
- [目的]揭示贵州省植被时空动态变化，探究不同驱动因子及其相互作用对植被的影响机制，可为当地生态环境保护和实现可持续发展提供科学依据。[方法]利用Google Earth Engine（GEE）获取MODIS（MOD13Q1）数据，计算2001—2023年的KNDVI植被指数。利用TS趋势分析及MK检验分析了贵州省植被变化格局。选取温度、降水、高程、坡度及坡向等自然因子及土地利用类型、人口密度等人类活动因素作为研究区植被变化的影响因子，使用偏相关及地理探测器对这些因素进行了分析。[结果]2001—2023年贵州省植被覆盖度呈上升趋势，上升速率为0.0028/a，23年间研究区KNDVI平均值为0.54，年均值0.02~0.68，植被覆盖度呈现东南高西南低的格局。植被改善面积占83.8%，退化面积占9.76%。研究区中部植被显著或极显著退化，西北部、西南部和东北部植被显著或极显著改善。气温和降水与KNDVI呈正相关关系，人口密度与KNDVI呈负相关。单因子中，土地利用对KNDVI的解释力最强，交互作用中，土地利用与人口密度的交互作用最强。[结论]研究期间贵州省植被总体变好，土地利用是贵州KNDVI空间分异的主导因子，多因子之间的交互作用比单因子对KNDVI变化的解释力更大。人类活动因子对贵州植被变化影响最大，其次是气候因子、地形因子。
- Abstract:
- [Objective] To reveal the spatiotemporal dynamic changes of vegetation in Guizhou Province, and explore the influence mechanism of different driving factors and their interactions on vegetation. The study aims to provide a scientific basis for local ecological environment protection and sustainable development. [Methods] The Kernel Normalized Difference Vegetation Index (KNDVI) from 2001 to 2023 was calculated using MODIS(MOD13Q1) data obtained by Google Earth Engine (GEE). The pattern of vegetation change in Guizhou Province was analyzed by TS trend analysis and Mann-Kendall (MK) test. Natural factors such as temperature, precipitation, elevation, slope and aspect, along with anthropogenic factors such as land use type and population density, were selected as the influencing factors of vegetation change in the study area. These factors were analyzed using partial correlation and geographic detector. [Results] From 2001 to 2023, the vegetation coverage in Guizhou Province showed an increasing trend, with an increase rate of 0.002 8/a. The average KNDVI value in the study area over the 23 years was 0.54, with the annual average ranging from 0.02 to 0.68. The vegetation coverage showed a pattern of being higher in the southeast and lower in the southwest. The area of vegetation improvement accounted for 83.8%, while the area of vegetation degradation accounted for 9.76%. The vegetation in the central part of the study area was significantly or extremely significantly degraded, and the vegetation in the northwest, southwest and northeast was significantly or extremely significantly improved. Temperature and precipitation were positively correlated with KNDVI, while population density was negatively correlated with KNDVI. Among the single factors, land use has the strongest explanatory power for KNDVI, and the interaction between land use and population density is the strongest. [Conclusion] During the study period, overall vegetation in Guizhou Province was generally improved, with land use being the leading factor driving KNDVI spatial differentiation in Guizhou Province. The explanatory power of multiple factor interactions surpassed that of single factors in explaining KNDVI changes. Anthropogenic factors have the most significant influence on vegetation changes in Guizhou, followed by climate factors and topographic factors.
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备注/Memo
收稿日期：2024-08-08 修回日期：2024-09-13 接受日期：2024-09-20
资助项目：国家自然科学基金（42161029）；贵州省科技技术项目（黔科合基础-ZK［2022］一般278）
第一作者：吴广霞（1999—），女，贵州铜仁人，硕士研究生，研究方向为地理信息与遥感。E-mail：wgx3156@163.com
通信作者：刘绥华（1977—），男，湖南邵阳人，博士，副教授，主要从事地理信息系统与遥感研究。E-mail：lsh23h@163.com