| Literature DB >> 23613985 |
Brian Huntley1, Judy R M Allen, Yvonne C Collingham, Thomas Hickler, Adrian M Lister, Joy Singarayer, Anthony J Stuart, Martin T Sykes, Paul J Valdes.
Abstract
Whereas fossil evidence indicates extensive treeless vegetation and diverse grazing megafauna in Europe and northern Asia during the last glacial, experiments combining vegetation models and climate models have to-date simulated widespread persistence of trees. Resolving this conflict is key to understanding both last glacial ecosystems and extinction of most of the mega-herbivores. Using a dynamic vegetation model (DVM) we explored the implications of the differing climatic conditions generated by a general circulation model (GCM) in "normal" and "hosing" experiments. Whilst the former approximate interstadial conditions, the latter, designed to mimic Heinrich Events, approximate stadial conditions. The "hosing" experiments gave simulated European vegetation much closer in composition to that inferred from fossil evidence than did the "normal" experiments. Given the short duration of interstadials, and the rate at which forest cover expanded during the late-glacial and early Holocene, our results demonstrate the importance of millennial variability in determining the character of last glacial ecosystems.Entities:
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Year: 2013 PMID: 23613985 PMCID: PMC3628573 DOI: 10.1371/journal.pone.0061963
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Tree, shrub and herb plant functional type ANPP:Heinrich Event 1 hosing experiment compared to 17 ka BP normal experiment.
Annual net primary productivity (ANPP) for the aggregated tree (A and D), shrub (B and E) and herb (C and F) plant functional types (PFTs) simulated for the palaeoclimates generated by the Heinrich Event 1 hosing experiment (A–C) and the equivalent 17 ka BP normal experiment (D–F). Lilac shaded areas indicate the extent of the modelled last glacial ice sheets for 17 ka BP [38]; land area is shown for sea-level lowered by 107 m [39]. ANPP is indicated by shading of land areas:white areas have zero ANPP for that PFT; pale grey areas have non-zero but very low ANPP; shades from deep blue through cyan and pale cyan to yellow and orange indicate progressively higher ANPP as shown by the quantitative legend.
Figure 5Tree, shrub and herb plant functional type ANPP: Heinrich Event 5 hosing experiment compared to 46 ka BP normal experiment.
ANPP for the aggregated tree (A and D), shrub (B and E) and herb (C and F) plant functional types (PFTs) simulated for the palaeoclimates generated by the Heinrich Event 5 hosing experiment (A–C) and the equivalent 46 ka BP normal experiment (D–F). Lilac shaded areas indicate the extent of the ice sheets mapped for the mid-Weichselian [41]; land area is shown for sea-level lowered by 80 m [40]. ANPP is indicated by shading of land areas: white areas have zero ANPP for that PFT; pale grey areas have non-zero but very low ANPP; shades from deep blue through cyan and pale cyan to yellow and orange indicate progressively higher ANPP (for quantitative legend see Fig. 1).
Figure 6Tree, shrub and herb plant functional type ANPP: 120 ka BP (Last interglacial) compared to 6 ka BP (Holocene ‘optimum’).
ANPP for the aggregated tree (A and D), shrub (B and E) and herb (C and F) plant functional types (PFTs) simulated for the palaeoclimates generated by the 120 ka BP (last interglacial) experiment (A–C) and the 6 ka BP (Holocene ‘optimum’) experiment (D–F). Lilac shaded areas on the maps for 6 ka BP indicate the extent of the modelled ice sheets for that time [38] whilst those on the maps for 120 ka BP show the extent of ice sheets mapped for the Holocene by Ehlers and Gibbard [41]; land area is shown for sea-levels of −8 m [39] and +2 m [40] for 6 ka BP and 120 ka BP, respectively. ANPP is indicated by shading of land areas: white areas have zero ANPP for that PFT; pale grey areas have non-zero but very low ANPP; shades from deep blue through cyan and pale cyan to yellow and orange indicate progressively higher ANPP (for quantitative legend see Fig. 1).