Integrating multi-year crop inventories as a proxy for soil management within a digital soil mapping framework for predicting nitrogen indices

For the international digital soil mapping (DSM) community, adequate spatial estimates of nitrogen (N) mineralization have yet to be generated. This is due, in part, to an inability to capture critical N controls at the regional and provincial scales. While the influence of climate, vegetation, and...

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Detalhes bibliográficos

Principais autores:	Luke Laurence, Brandon Heung, Jin Zhang, Travis Pennell, Judith Nyiraneza, Hardy Strom, Kyra Stiles, David L. Burton
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2024-08-01
coleção:	Geoderma
Assuntos:	Digital soil mapping Soil nitrogen mineralization Machine learning Pedotransfer functions
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S0016706124001733
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