Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050

This dataset provides an alternative representation of global climate change projections based on shifts in the 125 multivariate strata of the Global Environmental Stratification (Metzger et al. 2013), which are characterised by relatively homogeneous climate. These strata form climate analogues tha...

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Main Authors: Metzger, Marc J, Soteriades, Andreas D, Trabucco, Antonio, Murray-Rust, Dave
Other Authors: Self-funded, Metzger, Marc
Format: Dataset
Language:English
Published: The University of Edinburgh 2017
Subjects:
spatial data
climate
scenario
environmental stratification
Physical Sciences
Middle Ground
Antarc*
Antarctica
Online Access:https://hdl.handle.net/10283/2668
https://doi.org/10.7488/ds/2005
id ftuedinburgheds:oai:datashare.ed.ac.uk:10283/2668
record_format openpolar
spelling ftuedinburgheds:oai:datashare.ed.ac.uk:10283/2668 2023-07-30T03:56:37+02:00 Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050 Metzger, Marc J Soteriades, Andreas D Trabucco, Antonio Murray-Rust, Dave Self-funded Metzger, Marc The global land surface excluding Antarctica Global start=2000; end=2050; scheme=W3C-DTF 2017-05-02T15:30:42Z text/plain application/zip https://hdl.handle.net/10283/2668 https://doi.org/10.7488/ds/2005 eng eng The University of Edinburgh https://doi.org/10.1088/1748-9326/aa7689 Soteriades A., Murray-Rust D., Trabucco A., Metzger M.J. (in press) Understanding global climate change scenarios through bioclimate stratification. Environmental Research Letters in press. https://doi.org/10.1088/1748-9326/aa7689 Metzger, Marc J; Soteriades, Andreas D; Trabucco, Antonio; Murray-Rust, Dave. (2017). Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050, 2000-2017 [dataset]. The University of Edinburgh. https://doi.org/10.7488/ds/2005 https://hdl.handle.net/10283/2668 https://doi.org/10.7488/ds/2005 Creative Commons Attribution 4.0 International Public License Metzger M.J., Bunce R.G.H, Jongman R.H.G, Sayre R., Trabucco A., Zomer R. (2013). A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. Global Ecology and Biogeography 22: 630-638. WorldClim CIMP5 5 arcmin climate change scenarios: http://worldclim.org/CMIP5_5m spatial data climate scenario environmental stratification Physical Sciences dataset 2017 ftuedinburgheds https://doi.org/10.7488/ds/200510.1088/1748-9326/aa7689 2023-07-09T20:29:05Z This dataset provides an alternative representation of global climate change projections based on shifts in the 125 multivariate strata of the Global Environmental Stratification (Metzger et al. 2013), which are characterised by relatively homogeneous climate. These strata form climate analogues that help in the interpretation of climate change impacts. A Random Forest classifier was calculated and applied to 63 Coupled Model Intercomparison Project Phase 5 (CMIP5) climate scenarios at 5 arcmin resolution. The dataset summarises future environmental change for 2050 and forms a middle ground, conveniently integrating current knowledge of climate change impact with the interpretation advantages of categorical data but with a level of detail that resembles a continuous surface at global and regional scales. See datadescription.txt file. Dataset Antarc* Antarctica Edinburgh DataShare (University of Edinburgh) Middle Ground ENVELOPE(-55.715,-55.715,53.317,53.317)
institution Open Polar
collection Edinburgh DataShare (University of Edinburgh)
op_collection_id ftuedinburgheds
language English
topic spatial data
climate
scenario
environmental stratification
Physical Sciences
spellingShingle spatial data
climate
scenario
environmental stratification
Physical Sciences
Metzger, Marc J
Soteriades, Andreas D
Trabucco, Antonio
Murray-Rust, Dave
Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050
topic_facet spatial data
climate
scenario
environmental stratification
Physical Sciences
description This dataset provides an alternative representation of global climate change projections based on shifts in the 125 multivariate strata of the Global Environmental Stratification (Metzger et al. 2013), which are characterised by relatively homogeneous climate. These strata form climate analogues that help in the interpretation of climate change impacts. A Random Forest classifier was calculated and applied to 63 Coupled Model Intercomparison Project Phase 5 (CMIP5) climate scenarios at 5 arcmin resolution. The dataset summarises future environmental change for 2050 and forms a middle ground, conveniently integrating current knowledge of climate change impact with the interpretation advantages of categorical data but with a level of detail that resembles a continuous surface at global and regional scales. See datadescription.txt file.
author2 Self-funded
Metzger, Marc
format Dataset
author Metzger, Marc J
Soteriades, Andreas D
Trabucco, Antonio
Murray-Rust, Dave
author_facet Metzger, Marc J
Soteriades, Andreas D
Trabucco, Antonio
Murray-Rust, Dave
author_sort Metzger, Marc J
title Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050
title_short Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050
title_full Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050
title_fullStr Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050
title_full_unstemmed Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050
title_sort scenarios of shifts in gens bioclimate strata based on cimp5 climate change scenarios for 2050
publisher The University of Edinburgh
publishDate 2017
url https://hdl.handle.net/10283/2668
https://doi.org/10.7488/ds/2005
op_coverage The global land surface excluding Antarctica
Global
start=2000; end=2050; scheme=W3C-DTF
long_lat ENVELOPE(-55.715,-55.715,53.317,53.317)
geographic Middle Ground
geographic_facet Middle Ground
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_source Metzger M.J., Bunce R.G.H, Jongman R.H.G, Sayre R., Trabucco A., Zomer R. (2013). A high-resolution bioclimate map of the world: a unifying framework for global biodiversity research and monitoring. Global Ecology and Biogeography 22: 630-638.
WorldClim CIMP5 5 arcmin climate change scenarios: http://worldclim.org/CMIP5_5m
op_relation https://doi.org/10.1088/1748-9326/aa7689
Soteriades A., Murray-Rust D., Trabucco A., Metzger M.J. (in press) Understanding global climate change scenarios through bioclimate stratification. Environmental Research Letters in press. https://doi.org/10.1088/1748-9326/aa7689
Metzger, Marc J; Soteriades, Andreas D; Trabucco, Antonio; Murray-Rust, Dave. (2017). Scenarios of shifts in GEnS bioclimate strata based on CIMP5 climate change scenarios for 2050, 2000-2017 [dataset]. The University of Edinburgh. https://doi.org/10.7488/ds/2005
https://hdl.handle.net/10283/2668
https://doi.org/10.7488/ds/2005
op_rights Creative Commons Attribution 4.0 International Public License
op_doi https://doi.org/10.7488/ds/200510.1088/1748-9326/aa7689
_version_ 1772813929086451712

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