Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx

Forest ecosystems of the Russian Federation are expected to face high risks under environmental dynamics related to climate change. Analyzing the likely impacts of climate change on forest ecosystems is crucial in order to understand the potential adaptation of forests, to guide management strategie...

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Bibliographic Details
Main Authors: Sergio Noce, Luca Caporaso, Monia Santini
Format: Dataset
Language:unknown
Published: 2019
Subjects:
SDM
Online Access:https://doi.org/10.3389/fevo.2019.00057.s001
https://figshare.com/articles/Table_1_Climate_Change_and_Geographic_Ranges_The_Implications_for_Russian_Forests_docx/7860215
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spelling ftfrontimediafig:oai:figshare.com:article/7860215 2023-05-15T15:14:35+02:00 Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx Sergio Noce Luca Caporaso Monia Santini 2019-03-19T04:05:38Z https://doi.org/10.3389/fevo.2019.00057.s001 https://figshare.com/articles/Table_1_Climate_Change_and_Geographic_Ranges_The_Implications_for_Russian_Forests_docx/7860215 unknown doi:10.3389/fevo.2019.00057.s001 https://figshare.com/articles/Table_1_Climate_Change_and_Geographic_Ranges_The_Implications_for_Russian_Forests_docx/7860215 CC BY 4.0 CC-BY Evolutionary Biology Ecology Invasive Species Ecology Landscape Ecology Conservation and Biodiversity Behavioural Ecology Community Ecology (excl. Invasive Species Ecology) Ecological Physiology Freshwater Ecology Marine and Estuarine Ecology (incl. Marine Ichthyology) Population Ecology Terrestrial Ecology The Russian Federation forests climate change SDM BIOMOD impacts geographic ranges biogeography Dataset 2019 ftfrontimediafig https://doi.org/10.3389/fevo.2019.00057.s001 2019-03-20T23:59:01Z Forest ecosystems of the Russian Federation are expected to face high risks under environmental dynamics related to climate change. Analyzing the likely impacts of climate change on forest ecosystems is crucial in order to understand the potential adaptation of forests, to guide management strategies, as well as to preserve ecosystem services. With the aim to provide information on the possible modifications of geographic ranges, in the medium to long-term, for some Russian dominant forest species under climate change, we applied a Cascade Ensemble System (CES) approach. This consists of combining Ensemble Platform for Species Distribution Models (SDMs) to six bias-corrected Earth System Model (ESM) projections, driven in turn by two Representative Concentration Pathways (RCPs) proxies of greenhouse gas emission scenarios, in order to obtain area maps of the future suitability for forest species. The suitability information is then flagged with information about its “likelihood,” adopting the IPCC terminology based on a consensus among projections. Maps of aggregated changes were created in order to identify areas potentially more vulnerable to climate change. Results showed that possible impacts of climate change (either gain or loss) were diversified across species with a pronounced Northward shift of the ranges. Further analyses were performed at sub-regional levels revealing the potential for the Arctic Circle to become a refuge area for some conifer species. Species-aggregated change analyses spotted two distinct areas as more vulnerable to habitat change, in the central and south-east portions of the Russian territory. Our findings represent useful and immediate biogeographical information available to Russian policy makers to delineate conservation strategies and forest management plans. Dataset Arctic Climate change Frontiers: Figshare Arctic
institution Open Polar
collection Frontiers: Figshare
op_collection_id ftfrontimediafig
language unknown
topic Evolutionary Biology
Ecology
Invasive Species Ecology
Landscape Ecology
Conservation and Biodiversity
Behavioural Ecology
Community Ecology (excl. Invasive Species Ecology)
Ecological Physiology
Freshwater Ecology
Marine and Estuarine Ecology (incl. Marine Ichthyology)
Population Ecology
Terrestrial Ecology
The Russian Federation
forests
climate change
SDM
BIOMOD
impacts
geographic ranges
biogeography
spellingShingle Evolutionary Biology
Ecology
Invasive Species Ecology
Landscape Ecology
Conservation and Biodiversity
Behavioural Ecology
Community Ecology (excl. Invasive Species Ecology)
Ecological Physiology
Freshwater Ecology
Marine and Estuarine Ecology (incl. Marine Ichthyology)
Population Ecology
Terrestrial Ecology
The Russian Federation
forests
climate change
SDM
BIOMOD
impacts
geographic ranges
biogeography
Sergio Noce
Luca Caporaso
Monia Santini
Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx
topic_facet Evolutionary Biology
Ecology
Invasive Species Ecology
Landscape Ecology
Conservation and Biodiversity
Behavioural Ecology
Community Ecology (excl. Invasive Species Ecology)
Ecological Physiology
Freshwater Ecology
Marine and Estuarine Ecology (incl. Marine Ichthyology)
Population Ecology
Terrestrial Ecology
The Russian Federation
forests
climate change
SDM
BIOMOD
impacts
geographic ranges
biogeography
description Forest ecosystems of the Russian Federation are expected to face high risks under environmental dynamics related to climate change. Analyzing the likely impacts of climate change on forest ecosystems is crucial in order to understand the potential adaptation of forests, to guide management strategies, as well as to preserve ecosystem services. With the aim to provide information on the possible modifications of geographic ranges, in the medium to long-term, for some Russian dominant forest species under climate change, we applied a Cascade Ensemble System (CES) approach. This consists of combining Ensemble Platform for Species Distribution Models (SDMs) to six bias-corrected Earth System Model (ESM) projections, driven in turn by two Representative Concentration Pathways (RCPs) proxies of greenhouse gas emission scenarios, in order to obtain area maps of the future suitability for forest species. The suitability information is then flagged with information about its “likelihood,” adopting the IPCC terminology based on a consensus among projections. Maps of aggregated changes were created in order to identify areas potentially more vulnerable to climate change. Results showed that possible impacts of climate change (either gain or loss) were diversified across species with a pronounced Northward shift of the ranges. Further analyses were performed at sub-regional levels revealing the potential for the Arctic Circle to become a refuge area for some conifer species. Species-aggregated change analyses spotted two distinct areas as more vulnerable to habitat change, in the central and south-east portions of the Russian territory. Our findings represent useful and immediate biogeographical information available to Russian policy makers to delineate conservation strategies and forest management plans.
format Dataset
author Sergio Noce
Luca Caporaso
Monia Santini
author_facet Sergio Noce
Luca Caporaso
Monia Santini
author_sort Sergio Noce
title Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx
title_short Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx
title_full Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx
title_fullStr Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx
title_full_unstemmed Table_1_Climate Change and Geographic Ranges: The Implications for Russian Forests.docx
title_sort table_1_climate change and geographic ranges: the implications for russian forests.docx
publishDate 2019
url https://doi.org/10.3389/fevo.2019.00057.s001
https://figshare.com/articles/Table_1_Climate_Change_and_Geographic_Ranges_The_Implications_for_Russian_Forests_docx/7860215
geographic Arctic
geographic_facet Arctic
genre Arctic
Climate change
genre_facet Arctic
Climate change
op_relation doi:10.3389/fevo.2019.00057.s001
https://figshare.com/articles/Table_1_Climate_Change_and_Geographic_Ranges_The_Implications_for_Russian_Forests_docx/7860215
op_rights CC BY 4.0
op_rightsnorm CC-BY
op_doi https://doi.org/10.3389/fevo.2019.00057.s001
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