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    黄土丘陵沟壑区刺槐林穿透雨空间异质性及采样数量优化

    Spatial heterogeneity and sampling number optimization of throughfall in robinia pseudoacacia stands in the loess hilly-gully region

    • 摘要: 【目的】黄土高原沟壑区地形复杂、刺槐林冠层结构空间异质性显著,传统稀疏随机采样难以准确捕捉空间变异,为准确获取其变异特征并确定合理取样数量。【方法】于2025年6—10月,在陕西省安塞县纸坊沟流域30m×30m刺槐纯林样地,基于25场有效降雨事件中248个收集筒的监测数据,分析生长盛期与末期穿透雨空间分布规律及变异特征,并优化最少取样数量。【结果】1)生长季穿透雨总量458.1 mm,平均穿透雨率88.9%,空间变异系数13.7%;盛期与末期平均穿透雨率分别为88.4%和89.4%,变异系数分别为13.3%和14.1%,随降雨量、历时与强度增加呈幂函数下降。2)穿透雨率随距树干距离的增加而增加,树干附近变异最大,树冠中部变异最小。3)穿透雨具有中等至强空间自相关性(块基比0.035-0.304),自相关范围随物候期显著变化,生长盛期变程最大(3.87 m),生长末期变程最小(1.48 m)。4)95%置信水平、误差5%以内时,盛期与末期分别至少需布设8个和13个截面积510.7cm2收集筒。【结论】在整个生长季内,建议采用“放射状+网格”至少混合布设8–13个,针对刺槐单株,在1/2树冠半径的同心环布设。本研究结果可为优化刺槐林穿透雨观测方案、提高观测效率及相关水文模型的参数提供依据。

       

      Abstract: Objective The gully region of the Loess Plateau features complex terrain and prominent spatial heterogeneity in the canopy structure of Robinia pseudoacacia forests. Traditional sparse random sampling cannot accurately capture spatial variability. This study aimed to precisely characterize its spatial variation and determine the reasonable sampling quantity. Methods From June to October 2025, a 30 m × 30 m pure Robinia pseudoacacia forest plot was established in the Zhifanggou Watershed of Ansai County, Shaanxi Province. Based on monitoring data from 248 throughfall collectors during 25 effective rainfall events, we analyzed the spatial distribution patterns and variation characteristics of throughfall in the vigorous and late growth stages, and optimized the minimum sampling number. Results 1) The total throughfall during the growing season reached 458.1 mm, with an average throughfall ratio of 88.9% and a spatial coefficient of variation (CV) of 13.7%. The average throughfall ratios at the peak and late growing seasons were 88.4% and 89.4%, with corresponding CVs of 13.3% and 14.1%, respectively. The CV of throughfall decreased in a power function pattern with the increase of rainfall amount, duration and intensity. 2) The throughfall ratio rose with increasing distance from the tree trunk, with the maximum variability observed near the trunk and the minimum variability in the middle of the canopy. 3) Throughfall showed moderate to strong spatial autocorrelation, with a nugget-to-sill ratio ranging from 0.035 to 0.304. The autocorrelation range varied significantly with the phenological period: the range was the largest (3.87 m) at the peak growing season and the smallest (1.48 m) at the late growing season. 4) At the 95% confidence level and within a 5% relative error, a minimum of 8 and 13 rainfall collectors with a cross-sectional area of 510.7 cm² were required for the peak and late growing seasons, respectively. Conclusions For the entire growing season, it is recommended to adopt a combined radial and grid layout with a minimum of 8 to 13 collectors. For individual Robinia pseudoacacia trees, collectors should be arranged on a concentric ring at 1/2 of the canopy radius. The results of this study can provide a scientific basis for optimizing the throughfall observation scheme of Robinia pseudoacacia forests, improving observation efficiency, and parameterizing relevant hydrological models.

       

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