长江流域资源与环境 >> 2026, Vol. 35 >> Issue (1): 116-.doi: 10.11870/cjlyzyyhj2026010010

• 自然资源 • 上一篇    下一篇

武陵山区产水量时空变化及驱动因素分析

韦绪卉1,2,汤弟伟1,2*   

  1. (1.湖北民族大学生物资源保护与利用湖北省重点实验室,湖北 恩施 445000;2.湖北民族大学林学园艺学院,湖北 恩施 445000)
  • 出版日期:2026-01-20 发布日期:2026-01-20

Spatiotemporal Variation of Water Yield in Wuling Mountain Area and Analysis of Driving Factors

WEI Xu-hui1,2, TANG Di-wei1,2   

  1. (1.Hubei Key Laboratory of Biological Resources Protection and Utilization at Hubei Minzu University, Enshi 445000, China; 2.College of Forestry and Horticulture, Hubei Minzu University, Enshi 445000, China)
  • Online:2026-01-20 Published:2026-01-20

摘要: 产水量不仅对流域的水分循环和水量平衡具有重要影响,还与区域的自然环境及人类活动紧密相关,研究产水量的时空变化规律及其驱动机制对于优化区域空间布局和增强生态系统服务功能具有重要的实践意义。基于InVEST模型评估2000~2022年武陵山区的产水量,运用变异系数、Theil-Sen趋势、Mann-Kendall显著性检验和Hurst指数分析武陵山区产水量的时空变化特征和未来变化趋势,并通过地理探测器和多尺度地理加权回归模型探究各因子对武陵山区产水量的影响。结果表明:(1)武陵山区产水量变化波动较为明显,呈微弱上升趋势,在空间分布上表现出一定的空间异质性,呈现“西北、东南高,西南、东北低”的空间分布格局;(2)武陵山区产水量变异系数变化波动大,产水量呈微弱上升趋势,但未来以不显著下降为主。(3)武陵山区产水量是自然因素和人类活动综合作用的结果,按2000~2022年间各驱动因子的影响力由大到小依次为地区生产总值(GDP)、坡度、归一化植被指数(NDVI)、人口、坡向、地形起伏度、净初级生产力(NPP)、高程和温度,其中NPP∩坡度(0.801)交互作用影响力最大,NPP∩地形起伏度(0.787)、坡度∩人口(0.772)和NPP∩NDVI(0.756)的交互作用影响力也较大。(4)各驱动因子对武陵山区产水量的影响在空间分布上具有明显的空间异质性,其中降水、高程、温度和人口对产水服务表现出较强的正向驱动作用,而蒸散发、NDVI和GDP则呈现出较强的负向作用。从空间上看,降水、蒸散发、温度和GDP等驱动因子对产水量的影响在研究区的东北部更为显著,而NPP、高程、坡度和坡向等驱动因子在东南部更加显著。特别重要的是,在2010年NPP对武陵山区产水量的影响由正向作用向负向作用进行了转变,坡向和地形起伏度对武陵山区产水量的影响在低海拔表现为正向作用而在高海拔地区表现为负向作用。研究可为武陵山区水资源利用、管理和生态可持续发展提供科学支撑,对保障长江流域水资源安全具有一定的指导意义。

Abstract: Water yield not only has a significant impact on the hydrological cycle and water balance of a basin but also closely related to regional natural environments and human activities.Investigating the spatiotemporal variation patterns and driving mechanisms of water yield is of critical practical importance for optimizing regional spatial planning and enhancing ecosystem services.This study evaluated water yield in the Wuling Mountain Area from 2000 to 2022 using the InVEST model, analyzed its spatiotemporal characteristics and future trends through coefficient of variation (CV), Theil-Sen trend analysis, Mann-Kendall significance test, and Hurst index, and explored driving factors using geodetector and multi-scale geographically weighted regression (MGWR) models.The results indicate that:1) The water yield in the Wuling Mountain Area exhibited pronounced fluctuations with a slight upward trend, showing spatial heterogeneity characterized by a "high in northwest and southeast, low in southwest and northeast" distribution pattern.2) The coefficient of variation for water yield fluctuated significantly, and although a weak increasing trend was observed historically, future projections suggest a nonsignificant decline.3) The water yield in the Wuling Mountain Area results from the combined effects of natural factors and human activities.From 2000 to 2022, the driving factors were ranked by their influence magnitude as follows: GDP, slope, NDVI, population, aspect, topographic relief, NPP, elevation, and temperature.Notably, the interaction between NPP and slope (0.801) exhibited the strongest combined influence, followed by NPP∩topographic relief (0.787), slope∩population (0.772), and NPP∩NDVI (0.756).4) The impacts of driving factors on water yield in the Wuling Mountain Area exhibit distinct spatial heterogeneity.Precipitation, elevation, temperature, and population demonstrate strong positive driving effects on water yield services, whereas evapotranspiration, NDVI and GDP show pronounced negative effects.Spatially, the influence of precipitation, evapotranspiration, temperature, and GDP on water yield is more prominent in the northeastern part of the study area, while NPP, elevation, slope, and aspect dominate in the southeastern region.A pivotal finding is the shift in NPP’s impact on water yield from positive to negative in 2010.Additionally, aspect and topographic relief exert positive effects on water yield in low-altitude zones but transition to negative effects in high-altitude areas.This study provides scientific support for water resource utilization, management, and ecological sustainability in the Wuling Mountain Area, offering guidance for ensuring water security in the Yangtze River Basin.

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