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中国沙漠 ›› 2026, Vol. 46 ›› Issue (1): 130-139.DOI: 10.7522/j.issn.1000-694X.2025.00347

• • 上一篇    

祁连山人工林土壤水分入渗特征与模型适宜性

高原1,2,3(), 陈龙飞3, 何志斌3(), 李有三1, 李双2   

  1. 1.祁连山中部亚高山生态系统野外科学观测研究站,青海 西宁 810000
    2.陕西理工大学 人文学院,陕西 汉中 723001
    3.中国科学院西北生态环境资源研究院 临泽内陆河流域研究站,甘肃 兰州 730000
  • 收稿日期:2025-11-23 修回日期:2025-12-25 出版日期:2026-01-20 发布日期:2026-03-09
  • 通讯作者: 何志斌
  • 作者简介:高原(1989—),男,陕西岐山人,博士,讲师,硕士生导师,主要从事植被生态水文过程及生态环境定量遥感研究。E-mail: gaoyuan@snut.edu.cn
  • 基金资助:
    祁连山中部亚高山生态系统野外科学观测研究站开放基金项目(QLSKFJJ2024D0008);甘肃省科技计划项目(24ZD13FA004);陕西理工大学人才启动项目(SLGRCQD010)

Soil water infiltration characteristics and model suitability of plantations in the Qilian Mountains

Yuan Gao1,2,3(), Longfei Chen3, Zhibin He3(), Yousan Li1, Shuang Li2   

  1. 1.Observation Station of Subalpine Ecology Systems in the Middle Qilian Mountains,Xining 810000,China
    2.School of Humanities,Shaanxi University of Technology,Hanzhong 723001,Shaanxi,China
    3.Linze Inland River Basin Research Station,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
  • Received:2025-11-23 Revised:2025-12-25 Online:2026-01-20 Published:2026-03-09
  • Contact: Zhibin He

摘要:

为揭示祁连山不同立地人工林水分入渗分异规律及驱动机制,本研究选取扁都口(BDK)、打柴沟北(DCGB)、打柴沟南(DCGN)、十八里铺(SBLP)与大黄山(DHS)5处典型样地,通过野外调查、室内环刀土壤水分入渗试验、土壤理化性质测定及入渗动态过程监测,获取基础数据与试验参数。进一步结合3种土壤水分入渗模型(Philip、Horton、Kostiakov模型),对入渗过程进行模拟与适用性评估。结果表明:(1)各样地入渗速率均呈先快速衰减、后波动降低、最终趋稳的变化规律。稳定入渗速率表现为DHS(5.16 mm·min-1)>SBLP(2.4 mm·min-1)>DCGN(2.18 mm·min-1)>BDK(1.63 mm·min-1)>DCGB(1.24 mm·min-1),DHS总入渗量是DCGB的3.6倍。(2)土壤容重、总孔隙度、土壤有机碳及砂粒含量是入渗性能核心驱动因子(P<0.01),林分结构(林龄、建植密度)与立地特征(土地利用背景、干扰程度)通过改变土壤孔隙连通性共同调控入渗空间格局。(3)相较于Philip模型和Horton模型,Kostiakov模型对各样地土壤水分模拟精度最高(R²≥0.89),更适用于研究区土壤水分入渗特征描述。研究结果可为祁连山“以水定林”科学布局及生态水文功能优化提供理论支撑与实践指导。

关键词: 祁连山, 人工林, 立地条件, 土壤水分入渗, 土壤性质

Abstract:

To reveal the differences in soil water infiltration characteristics and driving mechanisms under various sites of plantation in the Qilian Mountains, five sample plots were selected, namely Biandukou (BDK), Dachaigou North (DCGB), Dachaigou South (DCGN), Shibalipu (SBLP), and Dahuangshan (DHS). Meanwhile, field investigations and laboratory ring-infiltrometer experiments were conducted, coupled with comprehensive analyses of soil physicochemical properties. Furthermore, three infiltration models were employed to simulate and evaluate the applicability for each plot. The results demonstrated that: (1) The soil infiltration rates across all plots followed a consistent pattern: an initial rapid decay, followed by a fluctuating decrease, and final stabilization. The stable infiltration rates ranked as DHS (5.16 mm·min-1) > SBLP (2.4 mm·min-1) >DCGN (2.18 mm·min-1)> BDK (1.63 mm·min-1)> DCGB (1.24 mm·min-1). The total cumulative infiltration at DHS was 3.6 times that of DCGB. (2) Soil bulk density, total porosity, soil organic carbon, and sand content were identified as the core driving factors influencing infiltration performance (P<0.01). Stand structure (stand age, planting density) and site characteristics (land use history, disturbance intensity) jointly regulated the spatial pattern of infiltration by changing the connectivity of soil pores. (3) Compared with the Philip and Horton model, the Kostiakov model had the highest simulation accuracy for soil water infiltration across all plots (R²≥0.89), and was more suitable for describing the soil water infiltration characteristics in the study area. The study aims to provide a theoretical foundation and practical guidance for the scientific planning of “water-based afforestation” and the optimization of eco-hydrological functions for plantations in the Qilian Mountains.

Key words: Qilian Mountains, plantation, stand conditions, soil water infiltration, soil properties

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