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Spatially explicit estimate of nitrogen effects on soil respiration across the globe.
Liu, Yang; Men, Mingxin; Peng, Zhengping; Chen, Han Y H; Yang, Yuanhe; Peng, Yunfeng.
Afiliação
  • Liu Y; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
  • Men M; College of Resources and Environmental Sciences, Key Laboratory of Farmland Eco-Environment of Hebei, Hebei Agricultural University, Baoding, China.
  • Peng Z; College of Resources and Environmental Sciences, Key Laboratory of Farmland Eco-Environment of Hebei, Hebei Agricultural University, Baoding, China.
  • Chen HYH; College of Resources and Environmental Sciences, Key Laboratory of Farmland Eco-Environment of Hebei, Hebei Agricultural University, Baoding, China.
  • Yang Y; Faculty of Natural Resources Management, Lakehead University, Thunder Bay, Ontario, Canada.
  • Peng Y; State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Beijing, China.
Glob Chang Biol ; 29(13): 3591-3600, 2023 07.
Article em En | MEDLINE | ID: mdl-37052888
Soil respiration (Rs), as the second largest flux of carbon dioxide (CO2 ) between terrestrial ecosystems and the atmosphere, is vulnerable to global nitrogen (N) enrichment. However, the global distribution of the N effects on Rs remains uncertain. Here, we compiled a new database containing 1282 observations of Rs and its heterotrophic component (Rh) in field N manipulative experiments from 317 published papers. Using this up-to-date database, we first performed a formal meta-analysis to explore the responses of Rs and Rh to N addition, and then presented a global spatially explicit quantification of the N effects using a Random Forest model. Our results showed that experimental N addition significantly increased Rs but had a minimal impact on Rh, not supporting the prevailing view that N enrichment inhibits soil microbial respiration. For the major biomes, the magnitude of N input was the main determinant of the spatial variation in Rs response, while the most important predictors for Rh response were biome specific. Based on the key predictors, global mapping visually demonstrated a positive N effect in the regions with higher anthropogenic N inputs (i.e., atmospheric N deposition and agricultural fertilization). Overall, our analysis not only provides novel insight into the N effects on soil CO2 fluxes, but also presents a spatially explicit assessment of the N effects at the global scale, which are pivotal for understanding ecosystem carbon dynamics in future scenarios with more frequent anthropogenic activities.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Ecossistema Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Glob Chang Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Solo / Ecossistema Tipo de estudo: Prognostic_studies / Systematic_reviews Idioma: En Revista: Glob Chang Biol Ano de publicação: 2023 Tipo de documento: Article País de afiliação: China