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Incorporation of NPP into forest CH4 efflux models.
Zhou, Xiaoqi; Zuo, Hanling; Smaill, Simeon J.
Afiliação
  • Zhou X; Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco-restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China. Electronic address: xqzhou@des.ecnu.edu.cn.
  • Zuo H; Zhejiang Tiantong Forest Ecosystem National Observation and Research Station, Shanghai Key Lab for Urban Ecological Processes and Eco-restoration, School of Ecological and Environmental Sciences, East China Normal University, Shanghai 200241, China.
  • Smaill SJ; Scion, PO Box 29237, Riccarton, Christchurch 8440, New Zealand. Electronic address: Simeon.Smaill@scionresearch.com.
Trends Plant Sci ; 26(12): 1210-1212, 2021 12.
Article em En | MEDLINE | ID: mdl-34657828
Forest soils are the largest atmospheric methane (CH4) sinks in terrestrial ecosystems, but models simulating this uptake have considerable uncertainties. Soil organic matter derived from aboveground vegetation net primary productivity (NPP) significantly influences CH4 uptake; therefore, we propose that the incorporation of NPP into global CH4 uptake models will greatly improve model predictions.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Florestas / Ecossistema Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2021 Tipo de documento: Article