Enhancing pedotransfer functions with environmental data for estimating bulk density and effective cation exchange capacity in a data-sparse situation

Author:

Akpa S. I. C.12ORCID,Ugbaje S. U.12,Bishop T. F. A.1,Odeh I. O. A.1

Affiliation:

1. Department of Environmental Science; Faculty of Agriculture and Environment; The University of Sydney; Biomedical Building C81, 1 Central Avenue Eveleigh NSW 2015 Australia

2. Department of Soil Science; Faculty of Agriculture/Institute for Agricultural Research; Ahmadu Bello University; PMB 1044 Zaria Kaduna State Nigeria

Publisher

Wiley

Subject

Pollution,Soil Science,Agronomy and Crop Science

Reference44 articles.

1. Digital mapping of soil organic carbon contents and stocks in Denmark;Adhikari;PLoS ONE,2014

2. Application of artificial intelligence in modeling of soil properties (case study: roodbar region, north of Iran)’;Akbarzadeh;Environmental Research Journal,2009

3. Digital mapping of soil particle-size fractions for Nigeria;Akpa;Soil Science Society of America Journal,2014

4. Total soil organic carbon and carbon sequestration potential in Nigeria;Akpa;Geoderma,2016

5. Relative contribution of organic matter and clay fractions to cation exchange capacity of soils in southern Nigeria;Asadu;Samaru Journal of Agricultural Research,1990

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