Forest responses to last‐millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity

Rollinson, C. R. ORCID: https://orcid.org/0000-0003-0181-7293, Dawson, A., Raiho, A. M., Williams, J. W., Dietze, M. C. ORCID: https://orcid.org/0000-0002-2324-2518, Hickler, T., Jackson, S. T., McLachlan, J., Moore, D. J. P., Poulter, B., Quaife, T. ORCID: https://orcid.org/0000-0001-6896-4613, Steinkamp, J. ORCID: https://orcid.org/0000-0002-7861-8789, Trachsel, M. and Morin, X. (2021) Forest responses to last‐millennium hydroclimate variability are governed by spatial variations in ecosystem sensitivity. Ecology Letters, 24 (3). pp. 498-508. ISSN 1461-023X doi: 10.1111/ele.13667

Abstract/Summary

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.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/96165
Item Type	Article
Refereed	Yes
Divisions	Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO) Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher	Wiley
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