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Divergent hydrological response to large-scale afforestation and vegetation greening in China.
Li, Yue; Piao, Shilong; Li, Laurent Z X; Chen, Anping; Wang, Xuhui; Ciais, Philippe; Huang, Ling; Lian, Xu; Peng, Shushi; Zeng, Zhenzhong; Wang, Kai; Zhou, Liming.
Afiliação
  • Li Y; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
  • Piao S; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
  • Li LZX; Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing 100085, China.
  • Chen A; Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing 100085, China.
  • Wang X; Laboratoire de Météorologie Dynamique, Centre National de la Recherche Scientifique, Sorbonne Université, Ecole Normale Supérieure, Ecole Polytechnique, 75252 Paris, France.
  • Ciais P; Department of Forestry and Natural Resources, Purdue University, West Lafayette, IN 46907, USA.
  • Huang L; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
  • Lian X; Laboratoire des Sciences du Climat et de l'Environnement/Institut Pierre Simon Laplace, Commissariat à l'Énergie Atomique et aux Énergies Alternatives-CNRS-Université de Versailles Saint-Quentin, Université Paris-Saclay, F-91191 Gif-sur-Yvette, France.
  • Peng S; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
  • Zeng Z; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
  • Wang K; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
  • Zhou L; Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.
Sci Adv ; 4(5): eaar4182, 2018 05.
Article em En | MEDLINE | ID: mdl-29750196
China has experienced substantial changes in vegetation cover, with a 10% increase in the leaf area index and an ~41.5 million-hectare increase in forest area since the 1980s. Earlier studies have suggested that increases in leaf area and tree cover have led to a decline in soil moisture and runoff due to increased evapotranspiration (ET), especially in dry regions of China. However, those studies often ignored precipitation responses to vegetation increases, which could offset some of the negative impact on soil moisture by increased ET. We investigated 30-year vegetation impacts on regional hydrology by allowing for vegetation-induced changes in precipitation using a coupled land-atmosphere global climate model, with a higher spatial resolution zoomed grid over China. We found high spatial heterogeneity in the vegetation impacts on key hydrological variables across China. In North and Southeast China, the increased precipitation from vegetation greening and the increased forest area, although statistically insignificant, supplied enough water to cancel out enhanced ET, resulting in weak impact on soil moisture. In Southwest China, however, the increase in vegetation cover significantly reduced soil moisture while precipitation was suppressed by the weakened summer monsoon. In Northeast China, the only area where forest cover declined, soil moisture was significantly reduced, by -8.1 mm decade-1, likely because of an intensified anticyclonic circulation anomaly during summer. These results suggest that offline model simulations can overestimate the increase of soil dryness in response to afforestation in North China, if vegetation feedbacks lead to increased precipitation like in our study.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrologia / Ecossistema / Meio Ambiente Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Sci Adv Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Hidrologia / Ecossistema / Meio Ambiente Tipo de estudo: Prognostic_studies País/Região como assunto: Asia Idioma: En Revista: Sci Adv Ano de publicação: 2018 Tipo de documento: Article País de afiliação: China