From Rangelands to Cropland, Land-Use Change and Its Impact on Soil Organic Carbon Variables in a Peruvian Andean Highlands: A Machine Learning Modeling Approach

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Publication Details

Journal
Ecosystems
Published
2024-09-09
DOI
https://doi.org/10.1007/s10021-024-00928-7
Citations
12
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
2.47

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article

From Rangelands to Cropland, Land-Use Change and Its Impact on Soil Organic Carbon Variables in a Peruvian Andean Highlands: A Machine Learning Modeling Approach

Mariella Carbajal, David A. Ramírez, Johan Ninanya, Percy Zorogastúa Cruz et al.
12 citations
Ecosystems
Soil Geostatistics and Mapping
2.47
article

From Rangelands to Cropland, Land-Use Change and Its Impact on Soil Organic Carbon Variables in a Peruvian Andean Highlands: A Machine Learning Modeling Approach

Mariella Carbajal, David A. Ramírez, Johan Ninanya, Percy Zorogastúa Cruz, Julie Konkel, Cecilia Turín, Sean M. Schaeffer, Felipe de Mendiburu, Javier Rinza, Roberto Quiroz, Liliana Villaorduña
article en
12 citations

Abstract

No abstract available for this paper.
EcosystemsVol. 27(7)
International Potato Center (PE), North Carolina State University (US), Maryville College (US), Secretaría Nacional de Ciencia, Tecnología e Innovación (PA), University of Tennessee at Knoxville (US), Universidad Nacional Agraria La Molina (PE)
Bill and Melinda Gates Foundation, Consortium of International Agricultural Research Centers, Foreign Agricultural Service
Zero hunger
Openalex Percentile: Top 11%
Soil Geostatistics and Mapping
2.47
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From Rangelands to Cropland, Land-Use Change and Its Impact on Soil Organic Carbon Variables in a Peruvian Andean Highlands: A Machine Learning Modeling Approach — Mariella Carbajal, David A. Ramírez, et al. · Ecosystems (2024) | TGRS Research Map | TGRS