Tracking ecosystem stability across boreal Siberia

Forests around the world are under immense pressure from human land use and climate change. Old-growth and primary forests have been degraded in recent decades, yet are generally more resilient and resistant to climate change effects compared to human-modified forests. Nowhere is this more evident t...

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Autores: Shestakova, Tatiana A., Rogers, Brendan M., Mackey, Brendan, Hugh, Sonia, Norman, Patrick, Kukavskaya, Elena A.
Formato: artículo
Estado:Versión publicada
Fecha de publicación:2024
País:España
Recursos:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/467461
Acesso em linha:https://doi.org/10.1016/j.ecolind.2024.112841
https://hdl.handle.net/10459.1/467461
Access Level:acceso abierto
Palavra-chave:Boreal forests
Ecological monitoring
Ecosystem stability
Forest disturbances
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spelling Tracking ecosystem stability across boreal SiberiaShestakova, Tatiana A.Rogers, Brendan M.Mackey, BrendanHugh, SoniaNorman, PatrickKukavskaya, Elena A.Boreal forestsEcological monitoringEcosystem stabilityForest disturbancesForests around the world are under immense pressure from human land use and climate change. Old-growth and primary forests have been degraded in recent decades, yet are generally more resilient and resistant to climate change effects compared to human-modified forests. Nowhere is this more evident than in Russian Siberia, which contains almost one-fifth of the world's forest area and has been subjected to a variety of land uses and disturbances since the mid-20th century. Although a number of related geospatial products exist, there are no large-scale maps of old-growth and primary forests across Siberia. However, remotely sensed metrics of forest stability have been shown to relate to old-growth and primary forests in tropical and boreal environments. Here we apply stability indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors across boreal Siberia from 2003 to 2020. Our results indicate that forests in the central and southern taiga contain most areas of high stability, but also distinct zones of disturbance and low stability. We identified three regions with particularly low forest stability: (i) the Zabaikal region in southern Siberia, (ii) a portion of the central taiga spanning the Republic of Sakha (Yakutia), and (iii) the West Siberian lowlands. This approach can be used to monitor Siberian boreal forest condition, and could be applied to other boreal forested regions.The research was supported by a grant to Griffith University from a private charitable trust. Tatiana A. Shestakova was supported by the Beatriu de Pin\u00F2s Programme of the Government of Catalonia (2020 BP 00126).Elsevier2024info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1016/j.ecolind.2024.112841https://hdl.handle.net/10459.1/467461reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésReproducció del document publicat a https://doi.org/10.1016/j.ecolind.2024.112841Ecological Indicators, 2024, vol. 169, núm. 112841, p. 1-11cc-by-nc (c) Shestakova et al., 2024Attribution-NonCommercial 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc/4.0/oai:repositori.udl.cat:10459.1/4674612026-06-24T12:42:17Z
dc.title.none.fl_str_mv Tracking ecosystem stability across boreal Siberia
title Tracking ecosystem stability across boreal Siberia
spellingShingle Tracking ecosystem stability across boreal Siberia
Shestakova, Tatiana A.
Boreal forests
Ecological monitoring
Ecosystem stability
Forest disturbances
title_short Tracking ecosystem stability across boreal Siberia
title_full Tracking ecosystem stability across boreal Siberia
title_fullStr Tracking ecosystem stability across boreal Siberia
title_full_unstemmed Tracking ecosystem stability across boreal Siberia
title_sort Tracking ecosystem stability across boreal Siberia
dc.creator.none.fl_str_mv Shestakova, Tatiana A.
Rogers, Brendan M.
Mackey, Brendan
Hugh, Sonia
Norman, Patrick
Kukavskaya, Elena A.
author Shestakova, Tatiana A.
author_facet Shestakova, Tatiana A.
Rogers, Brendan M.
Mackey, Brendan
Hugh, Sonia
Norman, Patrick
Kukavskaya, Elena A.
author_role author
author2 Rogers, Brendan M.
Mackey, Brendan
Hugh, Sonia
Norman, Patrick
Kukavskaya, Elena A.
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv Boreal forests
Ecological monitoring
Ecosystem stability
Forest disturbances
topic Boreal forests
Ecological monitoring
Ecosystem stability
Forest disturbances
description Forests around the world are under immense pressure from human land use and climate change. Old-growth and primary forests have been degraded in recent decades, yet are generally more resilient and resistant to climate change effects compared to human-modified forests. Nowhere is this more evident than in Russian Siberia, which contains almost one-fifth of the world's forest area and has been subjected to a variety of land uses and disturbances since the mid-20th century. Although a number of related geospatial products exist, there are no large-scale maps of old-growth and primary forests across Siberia. However, remotely sensed metrics of forest stability have been shown to relate to old-growth and primary forests in tropical and boreal environments. Here we apply stability indices from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensors across boreal Siberia from 2003 to 2020. Our results indicate that forests in the central and southern taiga contain most areas of high stability, but also distinct zones of disturbance and low stability. We identified three regions with particularly low forest stability: (i) the Zabaikal region in southern Siberia, (ii) a portion of the central taiga spanning the Republic of Sakha (Yakutia), and (iii) the West Siberian lowlands. This approach can be used to monitor Siberian boreal forest condition, and could be applied to other boreal forested regions.
publishDate 2024
dc.date.none.fl_str_mv 2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1016/j.ecolind.2024.112841
https://hdl.handle.net/10459.1/467461
url https://doi.org/10.1016/j.ecolind.2024.112841
https://hdl.handle.net/10459.1/467461
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1016/j.ecolind.2024.112841
Ecological Indicators, 2024, vol. 169, núm. 112841, p. 1-11
dc.rights.none.fl_str_mv cc-by-nc (c) Shestakova et al., 2024
Attribution-NonCommercial 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc/4.0/
rights_invalid_str_mv cc-by-nc (c) Shestakova et al., 2024
Attribution-NonCommercial 4.0 International
http://creativecommons.org/licenses/by-nc/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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