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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ftdatacite:10.18710/wbky7q 2023-11-05T03:38:43+01:00 Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach ... Ancin-Murguzur, Francisco Javier Hausner, Vera Helene 2020 https://dx.doi.org/10.18710/wbky7q https://dataverse.no/citation?persistentId=doi:10.18710/WBKY7Q unknown DataverseNO https://dx.doi.org/10.18710/wbky7q/7pt91l https://dx.doi.org/10.18710/wbky7q/cmcxrw https://dx.doi.org/10.18710/wbky7q/i4rxcf https://dx.doi.org/10.18710/wbky7q/k3skgs Dataset dataset 2020 ftdatacite https://doi.org/10.18710/wbky7q10.18710/wbky7q/7pt91l10.18710/wbky7q/cmcxrw10.18710/wbky7q/i4rxcf10.18710/wbky7q/k3skgs 2023-10-09T11:02:44Z 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 ... Dataset Arctic Climate change Tundra DataCite Metadata Store (German National Library of Science and Technology) |
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DataCite Metadata Store (German National Library of Science and Technology) |
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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 ... |
format |
Dataset |
author |
Ancin-Murguzur, Francisco Javier Hausner, Vera Helene |
spellingShingle |
Ancin-Murguzur, Francisco Javier Hausner, Vera Helene Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach ... |
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 |
2020 |
url |
https://dx.doi.org/10.18710/wbky7q https://dataverse.no/citation?persistentId=doi:10.18710/WBKY7Q |
genre |
Arctic Climate change Tundra |
genre_facet |
Arctic Climate change Tundra |
op_relation |
https://dx.doi.org/10.18710/wbky7q/7pt91l https://dx.doi.org/10.18710/wbky7q/cmcxrw https://dx.doi.org/10.18710/wbky7q/i4rxcf https://dx.doi.org/10.18710/wbky7q/k3skgs |
op_doi |
https://doi.org/10.18710/wbky7q10.18710/wbky7q/7pt91l10.18710/wbky7q/cmcxrw10.18710/wbky7q/i4rxcf10.18710/wbky7q/k3skgs |
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1781694479335424000 |