Tundra shrubification and tree-line advance amplify arctic climate warming: results from an individual-based dynamic vegetation model
By Wenxing Zhang, P. Miller, Benjamin Smith, R. Wania, T. Koenigk, R. Döscher. 2013
159 citations recorded by the source corpus.
One major challenge to the improvement of regional climate scenarios for the northern high latitudes is to understand land surface feedbacks associated with vegetation shifts and ecosystem biogeochemical cycling. We employed a customized, Arctic version of the individual-based dynamic vegetation model LPJ-GUESS to simulate the dynamics of upland and wetland ecosystems under a regional climate model–downscaled future climate projection for the Arctic and Subarctic. The simulated vegetation distribution (1961–1990) agreed well with a composite map of actual arctic vegetation. In the future (2051–2080), a poleward advance of the forest–tundra boundary, an expansion of tall shrub tundra, and a dominance shift from deciduous to evergreen boreal conifer forest over northern Eurasia were simulated. Ecosystems continued to sink carbon for the next few decades, although the size of these sinks diminished by the late 21st century. Hot spots of increased CH4 emission were identified in the peatlands near Hudson Bay and western Siberia. In terms of their net impact on regional climate forcing, positive feedbacks associated with the negative effects of tree-line, shrub cover and forest phenology changes on snow-season albedo, as well as the larger sources of CH4, may potentially dominate over negative feedbacks due to increased carbon sequestration and increased latent heat flux.
Subfields: Atmospheric Science, Ecology
View Paper: https://www.semanticscholar.org/paper/4f3c3991c5fd261aac8973e56f9c4438f1ee3082
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Citations in the corpus
- Arctic tundra shrubification: a review of mechanisms and impacts on ecosystem carbon balance (2021, methodology): “…been applied to analyze tundra shrub dynamics (Epstein et al 2000, Euskirchen et al 2009, Lawrence and Swenson 2011, Bonfils et al 2012, Miller and Smith 2012, Zhang et al 2013, Druel et al 2019), but none of these models explicitly represent topographical variation at the relevant spatial scales.”