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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dataone:sha256:8a3b5af9c4409d0e4993a2c481ef1865b6611ed73166512f51227a8353338ee1 2024-06-03T18:46:31+00:00 Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach Ancin-Murguzur, Francisco Javier Hausner, Vera Helene 2020-09-29T00:00:00Z https://search.dataone.org/view/sha256:8a3b5af9c4409d0e4993a2c481ef1865b6611ed73166512f51227a8353338ee1 unknown Latent Dirichlet Allocation Socio economic system Climate change Research gaps Topic modeling Earth and Environmental Sciences Dataset 2020 dataone:urn:node:DVNO 2024-06-03T18:17:34Z 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 Dataset Arctic Climate change Tundra Unknown Arctic |
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Open Polar |
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dataone:urn:node:DVNO |
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topic |
Latent Dirichlet Allocation Socio economic system Climate change Research gaps Topic modeling Earth and Environmental Sciences |
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Latent Dirichlet Allocation Socio economic system Climate change Research gaps Topic modeling Earth and Environmental Sciences Ancin-Murguzur, Francisco Javier Hausner, Vera Helene Replication Data for: Research gaps and trends in the Arctic tundra: a topic modeling approach |
topic_facet |
Latent Dirichlet Allocation Socio economic system Climate change Research gaps Topic modeling Earth and Environmental Sciences |
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 |
format |
Dataset |
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 |
publishDate |
2020 |
url |
https://search.dataone.org/view/sha256:8a3b5af9c4409d0e4993a2c481ef1865b6611ed73166512f51227a8353338ee1 |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Climate change Tundra |
genre_facet |
Arctic Climate change Tundra |
_version_ |
1800867110719586304 |