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The validity of optimal leaf traits modelled on environmental conditions.
Bloomfield, Keith J; Prentice, I Colin; Cernusak, Lucas A; Eamus, Derek; Medlyn, Belinda E; Rumman, Rizwana; Wright, Ian J; Boer, Matthias M; Cale, Peter; Cleverly, James; Egerton, John J G; Ellsworth, David S; Evans, Bradley J; Hayes, Lucy S; Hutchinson, Michael F; Liddell, Michael J; Macfarlane, Craig; Meyer, Wayne S; Togashi, Henrique F; Wardlaw, Tim; Zhu, Lingling; Atkin, Owen K.
Afiliación
  • Bloomfield KJ; Division of Plant Sciences, Research School of Biology, The Australian National University, Building 46, Canberra, ACT, 2601, Australia.
  • Prentice IC; Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.
  • Cernusak LA; AXA Chair of Biosphere and Climate Impacts, Department of Life Sciences, Imperial College London, Silwood Park Campus, Buckhurst Road, Ascot, SL5 7PY, UK.
  • Eamus D; Department of Marine and Tropical Biology, James Cook University, Cairns, Qld, 4878, Australia.
  • Medlyn BE; School of Life Sciences, University of Technology Sydney, NSW, 2007, Australia.
  • Rumman R; Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia.
  • Wright IJ; School of Life Sciences, University of Technology Sydney, NSW, 2007, Australia.
  • Boer MM; Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.
  • Cale P; Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia.
  • Cleverly J; Australian Landscape Trust, Renmark, SA, 5341, Australia.
  • Egerton JJG; School of Life Sciences, University of Technology Sydney, NSW, 2007, Australia.
  • Ellsworth DS; Terrestrial Ecosystem Research Network (TERN), University of Technology Sydney, Goddard Building, The University of Queensland, St Lucia, QLD 4072, Australia.
  • Evans BJ; Division of Plant Sciences, Research School of Biology, The Australian National University, Building 46, Canberra, ACT, 2601, Australia.
  • Hayes LS; Hawkesbury Institute for the Environment, Western Sydney University, Penrith, NSW, 2751, Australia.
  • Hutchinson MF; Faculty of Agriculture and Environment, Department of Environmental Sciences, University of Sydney, Sydney, NSW, 2006, Australia.
  • Liddell MJ; Division of Plant Sciences, Research School of Biology, The Australian National University, Building 46, Canberra, ACT, 2601, Australia.
  • Macfarlane C; Fenner School of Environment and Society, Australian National University, Canberra, ACT, 2601, Australia.
  • Meyer WS; Centre for Tropical, Environmental, and Sustainability Sciences, James Cook University, Cairns, Qld, 4878, Australia.
  • Togashi HF; CSIRO Land and Water, Private Bag 5, Wembley, WA, 6913, Australia.
  • Wardlaw T; Earth and Environmental Sciences, University of Adelaide, Adelaide, SA, 5064, Australia.
  • Zhu L; Department of Biological Sciences, Macquarie University, North Ryde, NSW, 2109, Australia.
  • Atkin OK; ARC Centre for Forest Value, University of Tasmania, Hobart, TAS, 7005, Australia.
New Phytol ; 221(3): 1409-1423, 2019 02.
Article en En | MEDLINE | ID: mdl-30242841
ABSTRACT
The ratio of leaf intercellular to ambient CO2 (χ) is modulated by stomatal conductance (gs ). These quantities link carbon (C) assimilation with transpiration, and along with photosynthetic capacities (Vcmax and Jmax ) are required to model terrestrial C uptake. We use optimization criteria based on the growth environment to generate predicted values of photosynthetic and water-use efficiency traits and test these against a unique dataset. Leaf gas-exchange parameters and carbon isotope discrimination were analysed in relation to local climate across a continental network of study sites. Sun-exposed leaves of 50 species at seven sites were measured in contrasting seasons. Values of χ predicted from growth temperature and vapour pressure deficit were closely correlated to ratios derived from C isotope (δ13 C) measurements. Correlations were stronger in the growing season. Predicted values of photosynthetic traits, including carboxylation capacity (Vcmax ), derived from δ13 C, growth temperature and solar radiation, showed meaningful agreement with inferred values derived from gas-exchange measurements. Between-site differences in water-use efficiency were, however, only weakly linked to the plant's growth environment and did not show seasonal variation. These results support the general hypothesis that many key parameters required by Earth system models are adaptive and predictable from plants' growth environments.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Hojas de la Planta / Carácter Cuantitativo Heredable / Ambiente / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2019 Tipo del documento: Article País de afiliación: Australia
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Hojas de la Planta / Carácter Cuantitativo Heredable / Ambiente / Modelos Biológicos Tipo de estudio: Prognostic_studies Idioma: En Revista: New Phytol Asunto de la revista: BOTANICA Año: 2019 Tipo del documento: Article País de afiliación: Australia