A framework for recalibrating pedotransfer functions using nonlinear least squares and estimating uncertainty using quantile regression-Reference-Cited by-同舟云学术

A framework for recalibrating pedotransfer functions using nonlinear least squares and estimating uncertainty using quantile regression

Published:2023-11 Issue: Volume:439 Page:116674
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Arbor Adrienne^ORCID,Schmidt Margaret^ORCID,Saurette Daniel^ORCID,Zhang Jin^ORCID,Bulmer Chuck^ORCID,Filatow Deepa,Kasraei Babak,Smukler Sean,Heung Brandon

Publisher

Elsevier BV

Subject

Soil Science

Reference94 articles.

1. Evaluation of pedotransfer functions for predicting soil bulk density for U.S. soils;Abdelbaki;Ain Shams Eng. J.,2018

2. The effect of organic matter on the bulk and true densities of some uncultivated podzolic soils;Adams;J. Soil Sci.,1973

3. Enhancing pedotransfer functions with environmental data for estimating bulk density and effective cation exchange capacity in a data-sparse situation;Akpa;Soil Use Manag.,2016

4. Assessment of various pedotransfer functions for the prediction of the dry bulk density of cultivated soils in a semiarid environment;Alaboz;Commun. Soil Sci. Plant Anal.,2020

5. Bulk densities of California soils in relation to other soil properties;Alexander;Soil Sci. Soc. Am. J.,1980

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Filling the gaps in soil data: A multi-model framework for addressing data gaps using pedotransfer functions and machine-learning with uncertainty estimates to estimate bulk density;CATENA;2024-10

2. Integrating multi-year crop inventories as a proxy for soil management within a digital soil mapping framework for predicting nitrogen indices;Geoderma;2024-08

3. Deciphering spatial variability and dominant controls of soil quality under four types of grassland along a southeast-northwest transect in Tibet, southwestern China;CATENA;2024-08

4. A framework for optimizing environmental covariates to support model interpretability in digital soil mapping;Geoderma;2024-05

5. Relevance of the organic carbon to clay ratio as a national soil health indicator;Geoderma;2024-03