ZhangZhuLiuEtAl2019

Référence

Zhang, K., Zhu, Q., Liu, J., Wang, M., Zhou, X., Li, M., Wang, K., Ding, J., Peng, C. (2019) Spatial and temporal variations of N2O emissions from global forest and grassland ecosystems. Agricultural and Forest Meteorology, 266-267:129-139. (Scopus )

Résumé

A process-based dynamic ecosystem model of TRIPLEX-GHG was used to estimate the spatial and temporal patterns of N2O fluxes from global forest and grassland ecosystems under the effects of global warming and elevated CO2 concentrations. From 1992 to 2015, the estimated average N2O emissions from forests and grasslands were 3.62 ± 0.16 Tg N yr−1 and 1.40 ± 0.03 Tg N yr−1, respectively. Tropical regions made large contributions (83.9% for forests and 74% for grasslands) to the total N2O budgets, which were due to the larger N2O flux values and large natural forest and grassland areas. The regional variations in N2O emissions mainly resulted from the differences in the spatial distributions of climate characteristics, especially the precipitation patterns. In addition, anomalous years when N2O emissions were relatively low/high were mainly due to the changes in climate patterns, which may have been induced by El Niño/La Niña events with different strengths and frequencies. Soil N2O emissions from forests showed a positive effect on the atmospheric N2O concentrations during June to November (R2: 0.14˜0.28), while those from grasslands showed a positive effect during the growing seasons (R2: 0.17˜0.28). Although natural N2O sources (forests and grasslands in this study) showed slightly increasing trends, with 9.9 Gg N increment per year for forests and 2.1 Gg N increment per year for grasslands, they were not the main contributors to the elevated N2O concentrations. © 2018 Elsevier B.V.

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@ARTICLE { ZhangZhuLiuEtAl2019,
    AUTHOR = { Zhang, K. and Zhu, Q. and Liu, J. and Wang, M. and Zhou, X. and Li, M. and Wang, K. and Ding, J. and Peng, C. },
    TITLE = { Spatial and temporal variations of N2O emissions from global forest and grassland ecosystems },
    JOURNAL = { Agricultural and Forest Meteorology },
    YEAR = { 2019 },
    VOLUME = { 266-267 },
    PAGES = { 129-139 },
    NOTE = { cited By 0 },
    ABSTRACT = { A process-based dynamic ecosystem model of TRIPLEX-GHG was used to estimate the spatial and temporal patterns of N2O fluxes from global forest and grassland ecosystems under the effects of global warming and elevated CO2 concentrations. From 1992 to 2015, the estimated average N2O emissions from forests and grasslands were 3.62 ± 0.16 Tg N yr−1 and 1.40 ± 0.03 Tg N yr−1, respectively. Tropical regions made large contributions (83.9% for forests and 74% for grasslands) to the total N2O budgets, which were due to the larger N2O flux values and large natural forest and grassland areas. The regional variations in N2O emissions mainly resulted from the differences in the spatial distributions of climate characteristics, especially the precipitation patterns. In addition, anomalous years when N2O emissions were relatively low/high were mainly due to the changes in climate patterns, which may have been induced by El Niño/La Niña events with different strengths and frequencies. Soil N2O emissions from forests showed a positive effect on the atmospheric N2O concentrations during June to November (R2: 0.14˜0.28), while those from grasslands showed a positive effect during the growing seasons (R2: 0.17˜0.28). Although natural N2O sources (forests and grasslands in this study) showed slightly increasing trends, with 9.9 Gg N increment per year for forests and 2.1 Gg N increment per year for grasslands, they were not the main contributors to the elevated N2O concentrations. © 2018 Elsevier B.V. },
    AFFILIATION = { Center for Ecological Forecasting and Global Change, College of Forestry, Northwest A&F University, Yangling, 712100, China; Western Geographic Science Center, US Geological Survey, Menlo Park, CA 94025, United States; Institute of Environment Sciences, Department of Biology Sciences, University of Quebec at Montreal, Case Postale 8888, Succursale Centre-Ville, Montreal Quebec, H3C 3P8, Canada; Research Institute of Wetlands, Chinese Academy of Forestry, Beijing, 100091, China },
    AUTHOR_KEYWORDS = { Climate change; Global forest and grassland ecosystems; Nitrous oxide; Process-based model },
    DOCUMENT_TYPE = { Article },
    DOI = { 10.1016/j.agrformet.2018.12.011 },
    SOURCE = { Scopus },
    URL = { https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059135642&doi=10.1016%2fj.agrformet.2018.12.011&partnerID=40&md5=ff121f8bf4fdbb3d37488f1b0d6b0418 },
}

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