Title: Drivers of Holocene Palsa Distribution in North America
Citation: Fewster, Richard; Morris, Paul; Swindles, Graeme; Gregoire, Lauren; Ivanovic, Ruza; Valdes, Paul; Mullan, Donal (2020), “Data for: Drivers of Holocene Palsa Distribution in North America”, Mendeley Data, V1, doi: 10.17632/c3vy5sw4zt.1
Study Site: Canada
Purpose: Palsas and peat plateaus are climatically sensitive landforms in permafrost peatlands. Climate envelope models have previously related palsa/peat plateau distributions in Europe to modern climate, but similar bioclimatic modelling has not been attempted for North America. Recent climate change has rendered many palsas/peat plateaus in this region, and their valuable carbon stores, vulnerable. We fitted a binary logistic regression model to predict palsa/peat plateau presence for North America by relating the distribution of 352 extant landforms to gridded modern climate data.
Abstract: Dataset contains supplementary data for the article "Drivers of Holocene palsa distribution in North America" by Fewster et al. Specifically, Dataset S1 contains the catalogue of modern palsas and peat plateaus in North America used to fit our binary logistic regression model; Dataset S2 contains modern climate data extracted from the CRU TS 4.02 climatology for each grid cell in our study area and also presents the presence/absence of peat, the timing of deglaciation, peat initiation, and terrestrial drainage; Dataset S3 contains the palaeoclimate data extracted from equilibrium-type HadCM3 simulations and used to simulate past distributions of the climate envelope; Dataset S4 contains the peatland basal date catalogue used to constrain timings of peat initation in North America; and Dataset S5 contains the Spearman's Rank correlation matrix for each variable included in our final model.
Supplemental Information Summary:
Research:
Further Info: Richard E. Fewster, Paul J. Morris, Graeme T. Swindles, Lauren J. Gregoire, Ruza F. Ivanovic, Paul J. Valdes, Donal Mullan,
Drivers of Holocene palsa distribution in North America, Quaternary Science Reviews, Volume 240, 2020, 106337, ISSN 0277-3791, https://doi.org/10.1016/j.quascirev.2020.106337.
Status: Complete
Keywords:
modeling,
meteorology,
permafrost,
Geographical coordinates: North: 83.15, South: 41.909 East: -52.619 West: -141.010
Bounding Temporal Extent: Start Date: , End
Date:
