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PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis.

Xu, Jiren and Morris, Paul J. and Liu, Junguo and Holden, Joseph (2017) PEATMAP: Refining estimates of global peatland distribution based on a meta-analysis. University of Leeds. [Dataset] https://doi.org/10.5518/252

Dataset description

PEATMAP is a GIS shapefile dataset shows a distribution of peatlands that covers the entire world. It was produced by combining the most high quality available peatland map from a wide variety of sources that describe peatland distributions at global, regional and national levels. The following sequence of comparisons to discriminate between overlapping data sources were used: (1) Relevance. The most important criterion was that source data are able to identify peatlands faithfully and to distinguish them from other land cover types, especially non-peat forming wetlands. (2) Spatial resolution. In areas where two or more overlapping data sources were indistinguishable in terms of their relevance to peatlands, the dataset with the finest spatial resolution was selected. (3) Age. In any areas where two or more overlapping datasets were indistinguishable based on both their apparent relevance to peatlands and their spatial resolution, the data product that had been most recently updated was selected. Recently updated products commonly contain much older source data, the period over which the latest revision source data were collected as the primary measure of the age of a dataset.

Keywords: Wetland, Peatland, Global, Map, PEATMAP
Subjects: F000 - Physical sciences > F800 - Physical geographical sciences > F840 - Physical geography
Divisions: Faculty of Environment > School of Geography
Faculty of Environment > water@leeds
Related resources:
LocationType
https://doi.org/10.1016/j.catena.2017.09.010Publication
http://eprints.whiterose.ac.uk/121665/Publication
License: Creative Commons Attribution 4.0 International (CC BY 4.0)
Date deposited: 19 Sep 2017 11:51
URI: http://archive.researchdata.leeds.ac.uk/id/eprint/251

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