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中国沙漠 ›› 2025, Vol. 45 ›› Issue (6): 289-299.DOI: 10.7522/j.issn.1000-694X.2025.00057

• • 上一篇    

干旱半干旱区典型植被类型蒸散比及土壤水分阈值

王海仙1,2(), 张勇勇1,2(), 康文蓉1,2, 肖建华1,2, 王淑敏1,2, 魏淑娥1,2, 吴绍雄3   

  1. 1.中国科学院西北生态环境资源研究院 中国生态系统研究网络临泽内陆河流域研究站/干旱区生态安全与可持续发展全国重点实验室,甘肃 兰州 730000
    2.中国科学院大学,北京 100049
    3.景德镇市气象局,江西 景德镇 333000
  • 收稿日期:2025-01-20 修回日期:2025-03-13 出版日期:2025-11-20 发布日期:2025-11-26
  • 通讯作者: 张勇勇
  • 作者简介:王海仙(2002—),女,宁夏盐池人,硕士研究生,主要从事干旱区碳水循环研究。E-mail: wanghaixian23@mails.ucas.ac.cn
  • 基金资助:
    中国华电有限公司重点科技项目(CHDKJ23-04-01-61);甘肃省科技计划项目(25JRRA493);干旱区生态安全与可持续发展全国重点实验室创新团队项目(E4520102)

Evaporative fractions and soil moisture thresholds in typical vegetation types of arid and semi-arid regions

Haixian Wang1,2(), Yongyong Zhang1,2(), Wenrong Kang1,2, Jianhua Xiao1,2, Shumin Wang1,2, Shue Wei1,2, Shaoxiong Wu3   

  1. 1.Linze Inland River Basin Research Station,Chinese Ecosystem Research Network / State Key Laboratory of Ecological Safety and Sustainable Development in Arid Lands,Northwest Institute of Eco-Environment and Resources,Chinese Academy of Sciences,Lanzhou 730000,China
    2.University of Chinese Academy of Sciences,Beijing 100049,China
    3.Jingdezhen Meteorological Bureau,Jingdezhen 333000,Jiangxi,China
  • Received:2025-01-20 Revised:2025-03-13 Online:2025-11-20 Published:2025-11-26
  • Contact: Yongyong Zhang

摘要:

为探讨干旱半干旱区典型植被类型蒸散比的季节动态及其对土壤水分与气象因子的响应机制,本研究基于全球FLUXNET数据集中的24个典型植被类型站点(有林草地、稀树草原、稀疏灌木林和草地)的长期观测数据,采用经典统计学量化蒸散比及其影响因素,结合阈值回归模型(Threshold Regression Model)和赤池信息准则(Akaike Information Criterion, AIC)识别土壤水分阈值及最优拟合模型。结果表明:干旱半干旱区月均蒸散比为0.31,其中有林草地的蒸散比最高(0.36),稀疏灌木林蒸散比最低(0.21),表明区域能量分配以感热通量为主;蒸散比呈现明显季节性变化,稀疏灌木林的蒸散比季节波动最大(Cv=0.37),表现出较强的季节不稳定性;土壤水分是调控蒸散比的关键因子(r=0.66, P<0.05)。调控存在非线性阈值效应:在土壤水分阈值(4.73%~15.98%)前后,蒸散比的响应模式不同,最优拟合模型均为步进式分段模型。

关键词: 干旱半干旱区, 蒸散比, 土壤水分, 土壤水分阈值

Abstract:

To investigate the seasonal dynamics of evapotranspiration fraction (EF) in typical vegetation types and its response mechanisms to soil moisture and meteorological factors in arid and semi-arid regions, this study utilized long-term observational data from 24 FLUXNET sites representing four vegetation types (woody savanna, savanna, open shrubland, and grassland). Classical statistical methods were employed to quantify EF characteristics and its influencing factors, while threshold regression models combined with the Akaike Information Criterion (AIC) were applied to identify soil moisture thresholds and optimal fitting models. The results demonstrated that the monthly mean EF in arid and semi-arid regions was 0.31, with the highest value observed in woody savanna (0.36) and the lowest in open shrubland (0.21), indicating energy partitioning dominated by sensible heat flux. EF exhibited pronounced seasonal variability, with open shrubland showing the strongest fluctuations (Cv = 0.37). Soil moisture emerged as the key regulatory factor for EFr = 0.66, P < 0.05), with nonlinear threshold effects: the response patterns of EF to soil moisture diverged significantly before and after critical thresholds (4.73%-15.98%), and the "stepwise segmented" model was consistently identified as the optimal fitting model.

Key words: arid and semi-arid regions, evaporative fraction, soil moisture, soil moisture threshold

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