双因子协同驱动近21年三峡库区NDVI时空演变
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戚海梅(2000—),女,在读硕士研究生,主要从事水土保持工程研究。E-mail:1975409453@qq.com

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Q948.12

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国家自然科学基金项目(32371963);重庆市人才项目—博士直通车项目(CSTB2022BSXM—JCX0156)


The Spatio-temporal Evolution of NDVI in the Three Gorges Reservoir Area Driven by the Synergistic Effect of two Factors over the Past 21 Years
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    摘要:

    [目的] 为明确三峡库区植被时空演变特征,定量分析植被与气候、地形及人类活动等各影响因子的关系。[方法] 基于归一化植被指数(NDVI)数据,采用Theil-Sen Median趋势分析、Mann-Kendall显著性检验、Hurst指数分析、地理探测器模型等方法,探究2000—2020年三峡库区NDVI时空分布特征及其驱动机制。[结果] (1)三峡库区2000—2020年NDVI变化整体呈上升趋势,平均变化率2.89×10-3/a,NDVI值呈由西南向东北递增的规律。(2)高程、人口密度和地表温度等因子较好地解释了NDVI的可变性,解释力均>0.4。(3)高程与夜间灯光是三峡库区NDVI的主导交互因子,q值为0.641,交互结果呈非线性加强或双因子协同加强,双因子对NDVI变化的解释力始终大于单因子对NDVI变化的解释力。[结论] 研究结果为三峡库区生态环境保护政策的制定及生态可持续发展等提供科学支撑。

    Abstract:

    [Objective] To clarify the spatio-temporal characteristics of vegetation evolution in the Three Gorges Reservoir Area, and to quantitatively analyze the relationships between vegetation and key determinants, including climate, terrain, and human activities. [Methods] Based on Normalized Difference Vegetation Index(NDVI) data, a suite of analytical techniques was employed, including Theil-Sen Median Trend Analysis, the Mann-Kendall Test for significance, Hurst Exponent Analysis, and Geographic Detector Modeling, to investigate the spatio-temporal patterns and driving forces of NDVI within the Three Gorges Reservoir Area from the year 2000 to 2020. [Results] (1) The change of NDVI in the Three Gorges Reservoir Area showed an overall ascending trend from 2000 to 2020, with a mean annual rate of increase at 2.89×10-3/a, and the value of NDVI increased from the southwestern to the northeastern parts of the area. (2) Elevation, population density, and surface temperature are pivotal factors that significantly account for the variability observed in NDVI, with an explanatory power for each exceeding the threshold of 0.4. (3) Elevation and nocturnal illumination are the key interactive drivers of NDVI in the Three Gorges Reservoir Area, with a pronounced q value of 0.641. Their interplay showed a nonlinear or synergistic enhancement, and the integrated explanatory power of the two factors on NDVI changes is always greater than that of single factors. [Conclusion] The results of this study can offer a robust scientific support for the formulation of ecological and environmental conservation policies and for sustainable ecological development within the Three Gorges Reservoir Area.

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戚海梅, 郑培龙, 王云琦, 王佳妮, 李成, 张晓明.双因子协同驱动近21年三峡库区NDVI时空演变[J].水土保持学报,2024,38(6):224~233

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  • 收稿日期:2024-05-15
  • 最后修改日期:2024-07-10
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  • 在线发布日期: 2025-01-17
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