New generation of hydraulic pedotransfer functions for Europe-Reference-Cited by-同舟云学术

New generation of hydraulic pedotransfer functions for Europe

Published:2014-11-03 Issue:1 Volume:66 Page:226-238
ISSN:1351-0754
Container-title:European Journal of Soil Science
language:en
Short-container-title:Eur J Soil Sci

Author:

Tóth B.¹,Weynants M.²,Nemes A.³,Makó A.⁴,Bilas G.⁵,Tóth G.²

Affiliation:

1. University of Pannonia, Georgikon Faculty, Department of Crop Production and Soil Science; Deák F. u. 16 Keszthely 8360 Hungary

2. European Commission, Joint Research Centre (JRC), Institute for Environment and Sustainability (IES), Land Resource Management Unit, Via Enrico Fermi 2749; 21027 Ispra VA Italy

3. Bioforsk, Soil and Environment; Frederik A. Dahls vei 20 Ås 1430 Norway

4. Hungarian Academy of Sciences, Centre for Agricultural Research, Institute for Soil Sciences and Agricultural Chemistry; Herman Ottó út 15 Budapest 1022 Hungary

5. Aristotle University of Thessaloniki, School of Agriculture, Lab of Applied Soil Science, University Campus, UB 259; 54124 Thessaloniki Greece

Publisher

Wiley

Subject

Soil Science

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1111/ejss.12192/fullpdf

Reference40 articles.

1. High-resolution 3-D mapping of soil texture in Denmark;Adhikari;Soil Science Society of America Journal,2013

2. GlobalSoilMap: toward a fine-resolution global grid of soil properties;Arrouays;Advances in Agronomy,2014

3. Optimisation of pedotransfer functions using an artificial neural network ensemble method;Baker;Geoderma,2008

4. Point and parameter pedotransfer functions for water retention predictions for Danish soils;Børgesen;Geoderma,2005

5. Prediction of water retention of soils from the humid tropics by the nonparametric k-nearest neighbor approach;Botula Manyala Ilanga;Vadose Zone Journal,2013

Cited by 180 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. Within-season crop yield prediction by a multi-model ensemble with integrated data assimilation;Field Crops Research;2024-03

2. Assessing the use of digital soil maps in hydrological modeling for soil-water budget simulations - implications for water management plans in southern Portugal;Geoderma Regional;2024-03

3. Predicting saturated and near-saturated hydraulic conductivity using artificial neural networks and multiple linear regression in calcareous soils;PLOS ONE;2024-01-10

4. New empirical-point pedotransfer functions for water retention data for a wide range of soil texture and climates;International Soil and Water Conservation Research;2024-01

5. How Can Plants Help Restore Degraded Tropical Soils?;Land;2023-12-09