Predicting Soil Saturated Water Conductivity Using Pedo-Transfer Functions for Rocky Mountain Forests in Northern China
نویسندگان
چکیده
Soil physicochemical properties and macropore spatial structure affect saturated hydraulic conductivity (Ks). However, due to regional differences long measurement time, Ks is tedious quantify. Therefore, it of great importance find simplified but robust methods predict Ks. One possibility use pedo-transfer functions (PTFs). Along this line, stratified sampling was carried out in six typical forestlands the rocky mountain area Northern China. Penetration experiments industrial CT scanning were combined explore distribution characteristics its influencing factors. Based on this, we compared three PTF models by multiple linear regression for prediction. The results indicated that: (1) decreased with increasing soil depth, which followed order coniferous forest < broad-leaved mixed forest, change range greater than that homogeneous forest. (2) bulk density, water content, sand, silt, organic matter, total nitrogen, phosphorus, potassium significantly correlated (p 0.05). In addition, stand type depth had a certain impact affected (3) structure, such as number length surface volume all depth. They positively 0.001). (4) best predictability universality PTFs achieved containing matter phosphorus. Only parameters did not yield high findings study contribute understanding hydrological infiltration processes forests China, provide theoretical support prediction management loss erosion enhancement conservation functions.
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ژورنال
عنوان ژورنال: Forests
سال: 2023
ISSN: ['1999-4907']
DOI: https://doi.org/10.3390/f14061097