Reconstructing continental‐scale variation in soil δ 15 N: a machine learning approach in South America-Reference-Cited by-同舟云学术

Reconstructing continental‐scale variation in soil δ 15 N: a machine learning approach in South America

Published:2020-08 Issue:8 Volume:11 Page:
ISSN:2150-8925
Container-title:Ecosphere
language:en
Short-container-title:Ecosphere

Author:

Sena‐Souza João Paulo¹²^ORCID,Houlton Benjamin Z.³^ORCID,Martinelli Luiz Antônio⁴^ORCID,Bielefeld Nardoto Gabriela⁵^ORCID

Affiliation:

1. Programa de Pós‐Graduação em Ciências Ambientais Universidade de Brasília (UnB) Campus de Planaltina Planaltina Distrito Federal73345‐010Brazil

2. Departamento de Geociências Universidade Estadual de Montes Claros (Unimontes) Campus Professor Darcy Ribeiro Montes Claros Minas Gerais39401‐089Brazil

3. Department of Land, Air and Water Resources University of California Davis California95616USA

4. Departamento de Ecologia Isotópica Centro de Energia Nuclear da Agricultura (CENA) Universidade de São Paulo (USP) Campus de Piracicaba Piracicaba São Paulo13416‐000Brazil

5. Departamento de Ecologia Instituto de Ciências Biológicas Universidade de Brasília (UnB) Campus Universitário Darcy Ribeiro, Asa Norte Brasília Distrito Federal70910‐900Brazil

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

Ecology,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/ecs2.3223

Reference57 articles.

1. Digital Mapping of Soil Organic Carbon Contents and Stocks in Denmark

2. Global patterns of the isotopic composition of soil and plant nitrogen

3. Coupled isotopic and process-based modeling of gaseous nitrogen losses from tropical rain forests