A dataset for investigating socio-ecological changes in Arctic fjords
International audience Abstract. The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic is lacking in situ sampling; however, after many years of concerted effort and international collaboration, the Arcti...
Published in: | Earth System Science Data |
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Language: | English |
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Online Access: | https://hal.sorbonne-universite.fr/hal-04191559 https://hal.sorbonne-universite.fr/hal-04191559/document https://hal.sorbonne-universite.fr/hal-04191559/file/Schlegel_Gattuso_2023.pdf https://doi.org/10.5194/essd-15-3733-2023 |
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ftinsu:oai:HAL:hal-04191559v1 2023-12-03T10:15:50+01:00 A dataset for investigating socio-ecological changes in Arctic fjords Schlegel, Robert, W Gattuso, Jean-Pierre Laboratoire d'océanographie de Villefranche (LOV) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Institut du Développement Durable et des Relations Internationales (IDDRI) Institut d'Études Politiques IEP - Paris 2023 https://hal.sorbonne-universite.fr/hal-04191559 https://hal.sorbonne-universite.fr/hal-04191559/document https://hal.sorbonne-universite.fr/hal-04191559/file/Schlegel_Gattuso_2023.pdf https://doi.org/10.5194/essd-15-3733-2023 en eng HAL CCSD Copernicus Publications info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-15-3733-2023 hal-04191559 https://hal.sorbonne-universite.fr/hal-04191559 https://hal.sorbonne-universite.fr/hal-04191559/document https://hal.sorbonne-universite.fr/hal-04191559/file/Schlegel_Gattuso_2023.pdf doi:10.5194/essd-15-3733-2023 info:eu-repo/semantics/OpenAccess ISSN: 1866-3508 Earth System Science Data https://hal.sorbonne-universite.fr/hal-04191559 Earth System Science Data, 2023, 15 (8), pp.3733-3746. ⟨10.5194/essd-15-3733-2023⟩ [SDE]Environmental Sciences info:eu-repo/semantics/article Journal articles 2023 ftinsu https://doi.org/10.5194/essd-15-3733-2023 2023-11-08T17:24:44Z International audience Abstract. The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic is lacking in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled, with many cruise expeditions every year. For example, the GLODAP (Global Ocean Data Analysis Project) product has a greater density of in situ sampling points within the Arctic than along the Equator. While this is useful for open-ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (findable, accessible, interoperable, and reusable) data. To address this issue, a single dataset has been created from publicly available, predominantly in situ data from seven study sites in Svalbard and Greenland. After finding and accessing the data from a number of online platforms, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it can be findable and reusable in the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. To demonstrate the usability of this dataset, an analysis of the relationship between the different drivers was performed. Via the use of an Arctic biogeochemical model, these relationships were projected forward to 2100 via Representative Carbon Pathways (RCPs) 2.6, 4.5, and 8.5. This dataset is a work in progress, and as new datasets containing the relevant key drivers are released, they will be added to an updated version planned for the middle of 2024. The dataset (Schlegel and ... Article in Journal/Newspaper Arctic Greenland Svalbard Institut national des sciences de l'Univers: HAL-INSU Arctic Greenland Svalbard Earth System Science Data 15 8 3733 3746 |
institution |
Open Polar |
collection |
Institut national des sciences de l'Univers: HAL-INSU |
op_collection_id |
ftinsu |
language |
English |
topic |
[SDE]Environmental Sciences |
spellingShingle |
[SDE]Environmental Sciences Schlegel, Robert, W Gattuso, Jean-Pierre A dataset for investigating socio-ecological changes in Arctic fjords |
topic_facet |
[SDE]Environmental Sciences |
description |
International audience Abstract. The collection of in situ data is generally a costly process, with the Arctic being no exception. Indeed, there has been a perception that the Arctic is lacking in situ sampling; however, after many years of concerted effort and international collaboration, the Arctic is now rather well sampled, with many cruise expeditions every year. For example, the GLODAP (Global Ocean Data Analysis Project) product has a greater density of in situ sampling points within the Arctic than along the Equator. While this is useful for open-ocean processes, the fjords of the Arctic, which serve as crucially important intersections of terrestrial, coastal, and marine processes, are sampled in a much more ad hoc process. This is not to say they are not well sampled but rather that the data are more difficult to source and combine for further analysis. It was therefore noted that the fjords of the Arctic are lacking in FAIR (findable, accessible, interoperable, and reusable) data. To address this issue, a single dataset has been created from publicly available, predominantly in situ data from seven study sites in Svalbard and Greenland. After finding and accessing the data from a number of online platforms, they were amalgamated into a single project-wide standard, ensuring their interoperability. The dataset was then uploaded to PANGAEA so that it can be findable and reusable in the future. The focus of the data collection was driven by the key drivers of change in Arctic fjords identified in a companion review paper. To demonstrate the usability of this dataset, an analysis of the relationship between the different drivers was performed. Via the use of an Arctic biogeochemical model, these relationships were projected forward to 2100 via Representative Carbon Pathways (RCPs) 2.6, 4.5, and 8.5. This dataset is a work in progress, and as new datasets containing the relevant key drivers are released, they will be added to an updated version planned for the middle of 2024. The dataset (Schlegel and ... |
author2 |
Laboratoire d'océanographie de Villefranche (LOV) Institut national des sciences de l'Univers (INSU - CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Institut de la Mer de Villefranche (IMEV) Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS)-Sorbonne Université (SU)-Centre National de la Recherche Scientifique (CNRS) Institut du Développement Durable et des Relations Internationales (IDDRI) Institut d'Études Politiques IEP - Paris |
format |
Article in Journal/Newspaper |
author |
Schlegel, Robert, W Gattuso, Jean-Pierre |
author_facet |
Schlegel, Robert, W Gattuso, Jean-Pierre |
author_sort |
Schlegel, Robert, W |
title |
A dataset for investigating socio-ecological changes in Arctic fjords |
title_short |
A dataset for investigating socio-ecological changes in Arctic fjords |
title_full |
A dataset for investigating socio-ecological changes in Arctic fjords |
title_fullStr |
A dataset for investigating socio-ecological changes in Arctic fjords |
title_full_unstemmed |
A dataset for investigating socio-ecological changes in Arctic fjords |
title_sort |
dataset for investigating socio-ecological changes in arctic fjords |
publisher |
HAL CCSD |
publishDate |
2023 |
url |
https://hal.sorbonne-universite.fr/hal-04191559 https://hal.sorbonne-universite.fr/hal-04191559/document https://hal.sorbonne-universite.fr/hal-04191559/file/Schlegel_Gattuso_2023.pdf https://doi.org/10.5194/essd-15-3733-2023 |
geographic |
Arctic Greenland Svalbard |
geographic_facet |
Arctic Greenland Svalbard |
genre |
Arctic Greenland Svalbard |
genre_facet |
Arctic Greenland Svalbard |
op_source |
ISSN: 1866-3508 Earth System Science Data https://hal.sorbonne-universite.fr/hal-04191559 Earth System Science Data, 2023, 15 (8), pp.3733-3746. ⟨10.5194/essd-15-3733-2023⟩ |
op_relation |
info:eu-repo/semantics/altIdentifier/doi/10.5194/essd-15-3733-2023 hal-04191559 https://hal.sorbonne-universite.fr/hal-04191559 https://hal.sorbonne-universite.fr/hal-04191559/document https://hal.sorbonne-universite.fr/hal-04191559/file/Schlegel_Gattuso_2023.pdf doi:10.5194/essd-15-3733-2023 |
op_rights |
info:eu-repo/semantics/OpenAccess |
op_doi |
https://doi.org/10.5194/essd-15-3733-2023 |
container_title |
Earth System Science Data |
container_volume |
15 |
container_issue |
8 |
container_start_page |
3733 |
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3746 |
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