Pedotransfer function to predict density of forest soils in Switzerland

被引：5
|
作者：
Nussbaum, Madlene [1 ]
Papritz, Andreas [1 ]
Zimmermann, Stephan [2 ]
Walthert, Lorenz [2 ]
机构：
[1] Swiss Fed Inst Technol Zurich, Inst Biogeochem & Pollutant Dynam, Univ Str 16, CH-8092 Zurich, Switzerland
[2] Swiss Fed Inst Forest Snow & Landscape Res WSL, Zurcherstr 111, CH-8903 Birmensdorf, Switzerland
来源：
JOURNAL OF PLANT NUTRITION AND SOIL SCIENCE | 2016年 / 179卷 / 03期
基金：
瑞士国家科学基金会;
关键词：
soil density; PTF; robust regression; forest soils; BULK-DENSITY; REGRESSION; CARBON; STOCKS; WATER;
D O I：
10.1002/jpln.201500546
中图分类号：
S3 [农学（农艺学）];
学科分类号：
0901 ;
摘要：
Soil density is an important soil property, but respective measurements are usually scarce. With data from 559 mineral soil horizons (134 sites) we developed a linear regression pedotransfer function (PTF) for the density of forest soils (sieved to <= 2 mm). The field estimate of density was the most important covariate. RMSE of 0.205 Mg m(-3) and R-2 of 0.67, calculated on independent data (131 horizons), were better than the statistics obtained by published, recalibrated PTF (RMSE 0.271-0.324 Mg m(-3); R-2 0.28-0.42).
引用
收藏
页码：321 / 326
页数：6
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