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林业科学 ›› 2026, Vol. 62 ›› Issue (5): 40-53.doi: 10.11707/j.1001-7488.LYKX20250546

• 研究论文 • 上一篇    下一篇

酸沉降加剧土地利用变化对三峡库区重庆段土壤保持时空异质性的影响

郑群1,李亦璞2,苏中原1,郑永林3,王云琦1,*()   

  1. 1. 北京林业大学水土保持学院 重庆缙云山三峡库区森林生态系统国家定位观测研究站 北京 100083
    2. 北京水保生态工程咨询有限公司 北京 100055
    3. 应急管理部国家自然灾害防治研究院 北京 100085
  • 收稿日期:2025-09-07 修回日期:2025-12-24 出版日期:2026-05-10 发布日期:2026-05-12
  • 通讯作者: 王云琦 E-mail:wanyunqi@bjfu.edu.cn
  • 基金资助:
    国家自然科学基金项目“长时间尺度酸雨对马尾松树木生长的作用机制”(32371963)。

Acid Deposition Intensifies the Impacts of Land Use Change on the Spatiotemporal Heterogeneity of Soil Retention in the Chongqing Section of the Three Gorges Reservoir

Qun Zheng1,Yipu Li2,Zhongyuan Su1,Yonglin Zheng3,Yunqi Wang1,*()   

  1. 1. Three-Gorges Reservoir Area (Chongqing) Forest Ecosystem Research Station School of Soil and Water Conservation, Beijing Forestry University Beijing 100083
    2. Beijing Soil and Water Conservation Ecological Engineering Consulting Co. Ltd. Beijing 100055
    3. National Institute of Natural Hazards Ministry of Emergency Management of China Beijng 100085
  • Received:2025-09-07 Revised:2025-12-24 Online:2026-05-10 Published:2026-05-12
  • Contact: Yunqi Wang E-mail:wanyunqi@bjfu.edu.cn

摘要:

目的: 基于多源时空数据定量评估三峡库区重庆段土壤保持量变化,并解析各因子对其的综合驱动机制,揭示酸沉降对植被覆盖与管理因子(C)和水土保持措施因子(P)的乘积(简称复合因子C×P,用以表征地表综合抗蚀能力)的作用机制,为库区水土流失防控和生态屏障优化提供科学依据。方法: 结合2005—2020年 数字高程模型、土地利用和酸沉降等数据,利用 InVEST-SDR 模型估算土壤保持量,应用地理探测器识别土壤保持量的主控因子及因子的交互效应,采用有序 Logistic 回归和XGBoost-SHAP方法定量解释酸沉降对复合因子C×P的影响机制。结果: 1) 土壤保持总量先增后降,从2005年的6.74×1010 t增至2015年的峰值8.11×1010 t,2020年回落至7.87×1010 t;空间呈东高西低、东北部高西南部低的格局,单位面积土壤保持量的高值区(>3 000 t·hm?2a?1)多在巫溪、云阳等高郁闭度森林陡坡带,单位面积土壤保持量的低值区(<500 t·hm?2a?1)位于重庆主城区、涪陵等建设密集区。2) 2005—2020年建设用地年均扩张3.2%~7.5%,耕地主要转为林地(减少3.9%),稀疏阔叶林地退化(减少90%)。3) 酸沉降时空分异显著,总硫沉降通量由2005年的41.41 kg·hm?2a?1降至2020年的30.23 kg·hm?2a?1,总氮沉降通量由2005年的43.12 kg·hm?2a?1升至2020年的46.84 kg·hm?2a?1。4) 基于地理探测器的分析结果表明,土地利用是主控因子,酸沉降与土地利用的交互作用解释力最强(q=0.218 8)。 Logistic 回归结果表明,氮沉降对复合因子C×P数值等级提升的驱动强度约为硫沉降的8倍;基于XGBoost-SHAP 的空间解释进一步揭示酸沉降具有非线性和空间异质性,主城区和西南部为热点区。结论: 酸沉降通过化学侵蚀与生物抑制路径协同土地利用变化加剧库区土壤保持量的空间异质性,生态保护需减少氮沉降排放、修复稀疏林地、提升林地质量。

关键词: 土壤保持, 酸沉降, 地理探测器, Logistic 回归, XGBoost-SHAP, 三峡库区重庆段

Abstract:

Objective: To quantitatively evaluate the variations in soil retention within the Chongqing section of the Three Gorges Reservoir area based on multi-source spatiotemporal data, this study analyzed the comprehensive driving mechanisms of various factors to reveal the impact mechanism of acid deposition on the numerical product of the cover-management factor (C) and the support practice factor (P) (hereafter referred to as the composite factor C×P, used to characterize the comprehensive surface anti-erosion capacity), aiming to provide a scientific basis for the prevention of soil erosion and the optimization of ecological barrier in the reservoir area. Method: Based on digital elevation model (DEM), land use, and acid deposition data from 2005 to 2020, the InVEST-SDR module was used to estimate soil retention. The geographic detector was applied to identify the dominant factors of soil retention and their interaction effects. Ordered Logistic regression and XGBoost-SHAP methods were used to quantitatively explain the linear and nonlinear impact mechanisms of acid deposition on the composite factor C×P. Result: 1) Total soil retention first increased and then decreased, rising from 6.74×1010 t in 2005 to a peak of 8.11×1010 t in 2015, and then falling to 7.87×1010 t in 2020. Spatially, it presented a pattern of “high in the east and low in the west, high in the northeast and low in the southwest”. High-value areas of soil retention per unit area (>3 000 t·hm?2a?1) were mostly located in steep slope zones with high canopy closure forests such as Wuxi and Yunyang, while low-value areas (<500 t·hm?2a?1) were located in densely constructed areas such as the main urban area of Chongqing and Fuling. 2) From 2005 to 2020, construction land expanded at an annual rate of 3.2% to 7.5%, cropland was mainly converted to forest land (decreasing by 3.9%), and open broadleaved forest land degraded significantly (decreasing by 90%). 3) Acid deposition showed significant spatiotemporal differentiation. The total sulfur deposition flux decreased from 41.41 kg·hm?2a?1 in 2005 to 30.23 kg·hm?2a?1 in 2020, while the total nitrogen deposition flux increased from 43.12 kg·hm?2a?1 in 2005 to 46.84 kg·hm?2a?1 in 2020. 4) The analysis results based on geodetectors indicated that land use was the dominant factor, and the interaction between acid deposition and land use had the strongest explanatory power (q=0.218 8). Logistic regression showed that the effect of nitrogen deposition on elevating the C×P level was approximately 8 times that of sulfur deposition. XGBoost-SHAP revealed that acid deposition exhibited nonlinear and spatially heterogeneous effects, with the main urban area and the southwest being hotspot areas. Conclusion: Acid deposition intensifies the spatial heterogeneity of soil retention in the reservoir area through the synergistic pathways of chemical erosion and biological inhibition with land use change. Ecological protection should prioritize reducing nitrogen deposition emissions, restoring sparse forest land, and improving forest land quality.

Key words: soil conservation, acid deposition, geodetector, Logistic regression, XGBoost-SHAP, Chongqing section of the Three Gorges Reservoir area

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