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CO2, nitrogen deposition and a discontinuous climate response drive water use efficiency in global forests.
Adams, Mark A; Buckley, Thomas N; Binkley, Dan; Neumann, Mathias; Turnbull, Tarryn L.
Afiliação
  • Adams MA; Department of Chemistry and Biotechnology, Faculty of Science, Engineering and Technology, Swinburne University of Technology, Melbourne, VIC, Australia. maadams@swin.edu.au.
  • Buckley TN; School of Life and Environmental Sciences, University of Sydney, Sydney, NSW, Australia. maadams@swin.edu.au.
  • Binkley D; Department of Plant Sciences, College of Agricultural and Environmental Sciences, University of California, Davis, CA, USA.
  • Neumann M; School of Forestry, Northern Arizona University, Flagstaff, AZ, USA.
  • Turnbull TL; Institute of Silviculture, Department of Forest and Soil Sciences, University of Natural Resources and Life Sciences, Vienna, Austria.
Nat Commun ; 12(1): 5194, 2021 08 31.
Article em En | MEDLINE | ID: mdl-34465788
ABSTRACT
Reduced stomatal conductance is a common plant response to rising atmospheric CO2 and increases water use efficiency (W). At the leaf-scale, W depends on water and nitrogen availability in addition to atmospheric CO2. In hydroclimate models W is a key driver of rainfall, droughts, and streamflow extremes. We used global climate data to derive Aridity Indices (AI) for forests over the period 1965-2015 and synthesised those with data for nitrogen deposition and W derived from stable isotopes in tree rings. AI and atmospheric CO2 account for most of the variance in W of trees across the globe, while cumulative nitrogen deposition has a significant effect only in regions without strong legacies of atmospheric pollution. The relation of aridity and W displays a clear discontinuity. W and AI are strongly related below a threshold value of AI ≈ 1 but are not related where AI > 1. Tree ring data emphasise that effective demarcation of water-limited from non-water-limited behaviour of stomata is critical to improving hydrological models that operate at regional to global scales.

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article