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Assessing the vulnerability of blanket peat to climate change using an ensemble of statistical bioclimatic envelope models

doi: 10.3354/cr00929
We assessed the vulnerability of blanket peat to climate change in Great Britain using an ensemble of 8 bioclimatic envelope models. We used 4 published models that ranged from simple thresh- old models, based on total annual precipitation, to Generalised Linear Models (GLMs, based on mean an- nual temperature). In addition, 4 new models were developed which included measures of water deficit as threshold, classification tree, GLM and generalised additive models (GAM). Models that included measures of both hydrological conditions and maximum temperature provided a better fit to the mapped peat area than models based on hydrological variables alone. Under UKCIP02 projections for high (A1F1) and low (B1) greenhouse gas emission scenarios, 7 out of the 8 models showed a decline in the bioclimatic space associated with blanket peat. Eastern regions (Northumbria, North York Moors, Orkney) were shown to be more vulnerable than higher-altitude, western areas (Highlands, Western Isles and Argyle, Bute and The Trossachs). These results suggest a long-term decline in the distribution of actively grow- ing blanket peat, especially under the high emissions scenario, although it is emphasised that existing peatlands may well persist for decades under a changing climate. Observational data from long-term monitoring and manipulation experiments in combination with process-based models are required to explore the nature and magnitude of climate change impacts on these vulnerable areas more fully.
- Imperial College London United Kingdom
- University of Salford United Kingdom
- School of Environment, Education and Development University of Manchester United Kingdom
- University of Bristol United Kingdom
- THE MACAULAY LAND USE RESEARCH INSTITUTE United Kingdom
550, variables, 610, fennoscandia, 551, uplands, 630, evaporation, vegetation, generation, SDG 13 - Climate Action, Climate change, UK, peatlands, GE, Peat, Uplands, Great Britain, Bioclimatic envelope model, uncertainties, climate change, bioclimatic envelope model, peat, water-table, river-basin, GE Environmental Sciences
550, variables, 610, fennoscandia, 551, uplands, 630, evaporation, vegetation, generation, SDG 13 - Climate Action, Climate change, UK, peatlands, GE, Peat, Uplands, Great Britain, Bioclimatic envelope model, uncertainties, climate change, bioclimatic envelope model, peat, water-table, river-basin, GE Environmental Sciences
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).68 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
