廖成浩, 曾艳, 姚昆, 章凌帆. 江西植被EVI时空动态监测及驱动因素分析[J]. 云南大学学报(自然科学版), 2022, 44(5): 981-989. doi: 10.7540/j.ynu.20210547
引用本文: 廖成浩, 曾艳, 姚昆, 章凌帆. 江西植被EVI时空动态监测及驱动因素分析[J]. 云南大学学报(自然科学版), 2022, 44(5): 981-989. doi: 10.7540/j.ynu.20210547
LIAO Cheng-hao, ZENG Yan, YAO Kun, ZHANG Ling-fan. Spatio-temporal dynamic monitoring and driving factor analysis of vegetation EVI in Jiangxi Province[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(5): 981-989. DOI: 10.7540/j.ynu.20210547
Citation: LIAO Cheng-hao, ZENG Yan, YAO Kun, ZHANG Ling-fan. Spatio-temporal dynamic monitoring and driving factor analysis of vegetation EVI in Jiangxi Province[J]. Journal of Yunnan University: Natural Sciences Edition, 2022, 44(5): 981-989. DOI: 10.7540/j.ynu.20210547

江西植被EVI时空动态监测及驱动因素分析

Spatio-temporal dynamic monitoring and driving factor analysis of vegetation EVI in Jiangxi Province

  • 摘要: 植被是维护区域生态平衡的重要一环,研究植被覆盖的变化规律,揭示驱动因素的相互关系对区域生态建设具有重要现实意义. 基于2000—2018年江西省年均增强型植被指数(Enhanced Vegetation Index,EVI)数据,通过趋势分析探讨江西增强型植被指数(EVI)时空演变规律,利用地理探测器从动静结合角度探测植被覆盖的驱动因素. 结果表明:①江西EVI空间分布上存在显著差异,具体表现为中北部低四周高,南部高于北部,丘陵高于平原;②研究时段内,江西EVI呈现良好的发展趋势,EVI增加区域和减少区域分别占全省总面积的94%和6%;③从静态角度看,土地利用类型是江西EVI空间分布的主要驱动因素,同时土地利用类型同坡度的交互作用解释力最强,说明人类活动与自然因素共同影响植被覆盖的空间分布;④从动态角度看,降水是EVI变化的主导因素,降水同土地利用类型的交互作用对EVI变化的解释力最强.

     

    Abstract: Vegetation is an important part for maintaining regional ecological balance, so it is of great practical significance to study the law of vegetation cover change and reveal the relationship between driving factors for regional ecological construction. Based on the average annual enhanced vegetation index (EVI) data from 2000 to 2018, the temporal and spatial evolvement and trend change of EVI in Jiangxi Province were analyzed through trend analysis, and the driving factors of vegetation cover were detected by geodetector from the angle of dynamic combination. The results show that: ① There are significant differences in the spatial distribution of EVI in Jiangxi Province, which shows that the EVI is lower in the central and northern parts, higher in the south than in the north, and higher in the hills than in the plain; ② During the study period, Jiangxi Province EVI showed a good development trend: EVI increase and decrease areas respectively accounted for 94% and 6% of the province's total area; ③ From a static point of view, LUCC is the main driving factor of EVI spatial distribution in Jiangxi Province, and the interaction between LUCC and slope has the strongest explanatory power, which shows that human activities and preference for topography affect the spatial distribution of vegetation cover; ④ From a dynamic point of view, precipitation is the dominant factor of EVI change, and the combination of precipitation and LUCC has the strongest interpretation of EVI.

     

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