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Forest responses to last-millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity.
Rollinson, Christine R; Dawson, Andria; Raiho, Ann M; Williams, John W; Dietze, Michael C; Hickler, Thomas; Jackson, Stephen T; McLachlan, Jason; Jp Moore, David; Poulter, Benjamin; Quaife, Tristan; Steinkamp, Jörg; Trachsel, Mathias.
  • Rollinson CR; Center for Tree Science, The Morton Arboretum, 4100 Illinois Route 53, Lisle, IL, 60532, USA.
  • Dawson A; Department of General Education, Mount Royal University, Calgary, Alberta, T3E 6K6, Canada.
  • Raiho AM; Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN, 46556, USA.
  • Williams JW; Department of Geography and Center for Climatic Research, University of Wisconsin-Madison, Madison, WI, 53704, USA.
  • Dietze MC; Department of Earth and Environment, Boston University, 685 Commonwealth Ave, Boston, MA, 02215, USA.
  • Hickler T; Senckenberg Biodiversity and Climate Research Centre (SBiK-F), Senckenberganlage 25, Frankfurt/Main, 60325, Germany.
  • Jackson ST; Department of Physical Geography, Goethe University, Frankfurt/Main, Germany.
  • McLachlan J; US Geological Survey, Southwest and South Central Climate Adaptation Centers, Denver, DE, USA.
  • Jp Moore D; Department of Geosciences, University of Arizona, Tucson, AZ, 85721, USA.
  • Poulter B; Department of Biological Sciences, University of Notre Dame, 100 Galvin Life Science Center, Notre Dame, IN, 46556, USA.
  • Quaife T; School of Natural Resources, University of Arizona, Tucson, AZ, 85721, USA.
  • Steinkamp J; NASA GSFC, Biospheric Sciences Lab, Greenbelt, MD, 20771, USA.
  • Trachsel M; Department of Meteorology, University of Reading, Reading, RG6 6BB, UK.
Ecol Lett ; 24(3): 498-508, 2021 Mar.
Article en En | MEDLINE | ID: mdl-33377307
ABSTRACT
Forecasts of future forest change are governed by ecosystem sensitivity to climate change, but ecosystem model projections are under-constrained by data at multidecadal and longer timescales. Here, we quantify ecosystem sensitivity to centennial-scale hydroclimate variability, by comparing dendroclimatic and pollen-inferred reconstructions of drought, forest composition and biomass for the last millennium with five ecosystem model simulations. In both observations and models, spatial patterns in ecosystem responses to hydroclimate variability are strongly governed by ecosystem sensitivity rather than climate exposure. Ecosystem sensitivity was higher in models than observations and highest in simpler models. Model-data comparisons suggest that interactions among biodiversity, demography and ecophysiology processes dampen the sensitivity of forest composition and biomass to climate variability and change. Integrating ecosystem models with observations from timescales extending beyond the instrumental record can better understand and forecast the mechanisms regulating forest sensitivity to climate variability in a complex and changing world.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Árboles / Ecosistema Tipo de estudio: Diagnostic_studies Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Árboles / Ecosistema Tipo de estudio: Diagnostic_studies Idioma: En Año: 2021 Tipo del documento: Article