Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach
Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publications to identify...
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ftdataverseno:doi:10.18710/WBKY7Q 2024-10-13T14:04:37+00:00 Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach Ancin-Murguzur, Francisco Javier Hausner, Vera Helene Ancin Murguzur, Francisco Javier 2019-11-26 https://doi.org/10.18710/WBKY7Q English eng DataverseNO https://doi.org/10.18710/WBKY7Q Earth and Environmental Sciences Topic modeling Research gaps Climate change Socio economic system Latent Dirichlet Allocation Bibliographic data 2019 ftdataverseno https://doi.org/10.18710/WBKY7Q 2024-09-24T14:11:59Z Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publications to identify the main research themes relating to the Arctic tundra and assessed to what extent current research build on multiple disciplines to confront the upcoming challenges of rapid environmental changes. We used a topic- modelling approach, based on the Latent Dirichlet Allocation algorithm to detect topics based on semantic similarity. We found that plant and soil ecology dominate the tundra research and are highly connected to other ecological disciplines and biophysical sciences. Despite the fivefold increase in the number of publications during the past decades, the proportion of studies that address societal implications of climate change remains low. The strong scientific interest in the tundra reflects the concern of the rapid warming of the Arctic, but few studies include the cross-disciplinary approach necessary to fully assess the implications Other/Unknown Material Arctic Climate change Tundra DataverseNO Arctic |
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English |
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Earth and Environmental Sciences Topic modeling Research gaps Climate change Socio economic system Latent Dirichlet Allocation |
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Earth and Environmental Sciences Topic modeling Research gaps Climate change Socio economic system Latent Dirichlet Allocation Ancin-Murguzur, Francisco Javier Hausner, Vera Helene Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
topic_facet |
Earth and Environmental Sciences Topic modeling Research gaps Climate change Socio economic system Latent Dirichlet Allocation |
description |
Climate change is affecting the biodiversity, ecosystem services and the well-being of people that live in the Arctic tundra. Understanding the societal implications and adapting to these changes depend on knowledge produced by multiple disciplines. We analysed peer-reviewed publications to identify the main research themes relating to the Arctic tundra and assessed to what extent current research build on multiple disciplines to confront the upcoming challenges of rapid environmental changes. We used a topic- modelling approach, based on the Latent Dirichlet Allocation algorithm to detect topics based on semantic similarity. We found that plant and soil ecology dominate the tundra research and are highly connected to other ecological disciplines and biophysical sciences. Despite the fivefold increase in the number of publications during the past decades, the proportion of studies that address societal implications of climate change remains low. The strong scientific interest in the tundra reflects the concern of the rapid warming of the Arctic, but few studies include the cross-disciplinary approach necessary to fully assess the implications |
author2 |
Ancin Murguzur, Francisco Javier |
format |
Other/Unknown Material |
author |
Ancin-Murguzur, Francisco Javier Hausner, Vera Helene |
author_facet |
Ancin-Murguzur, Francisco Javier Hausner, Vera Helene |
author_sort |
Ancin-Murguzur, Francisco Javier |
title |
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
title_short |
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
title_full |
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
title_fullStr |
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
title_full_unstemmed |
Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
title_sort |
replication data for: research gaps and trends in the arctic tundra: a topic modeling approach |
publisher |
DataverseNO |
publishDate |
2019 |
url |
https://doi.org/10.18710/WBKY7Q |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Tundra |
genre_facet |
Arctic Climate change Tundra |
op_relation |
https://doi.org/10.18710/WBKY7Q |
op_doi |
https://doi.org/10.18710/WBKY7Q |
_version_ |
1812809963616075776 |