A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020)
Studies in recent decades show strong evidence of physical and biological changes in the Arctic tundra largely in response to exceptionally rapid rates of warming. Given the important implications of these changes on ecosystem services, hydrology, surface energy balance, carbon budgets, and climate...
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ftcopernicus:oai:publications.copernicus.org:essdd112153 2023-10-09T21:49:18+02:00 A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020) Zhu, Xiaoran Chen, Dong Kogure, Maruko Hoy, Elizabeth Berner, Logan Breen, Amy Chatterjee, Abhishek Davidson, Scott Frost, Gerald Hollingsworth, Teresa Iwahana, Go Jandt, Randi Kade, Anja Loboda, Tatiana Macander, Matt Mack, Michelle Miller, Charles Miller, Eric Natali, Susan Raynolds, Martha Rocha, Adrian Tsuyuzaki, Shiro Tweedie, Craig Walker, Donald Williams, Mathew Xu, Xin Zhang, Yingtong French, Nancy Goetz, Scott 2023-09-13 application/pdf https://doi.org/10.5194/essd-2023-222 https://essd.copernicus.org/preprints/essd-2023-222/ eng eng doi:10.5194/essd-2023-222 https://essd.copernicus.org/preprints/essd-2023-222/ eISSN: 1866-3516 Text 2023 ftcopernicus https://doi.org/10.5194/essd-2023-222 2023-09-18T16:24:16Z Studies in recent decades show strong evidence of physical and biological changes in the Arctic tundra largely in response to exceptionally rapid rates of warming. Given the important implications of these changes on ecosystem services, hydrology, surface energy balance, carbon budgets, and climate feedbacks, research on the trends and patterns of these changes is becoming increasingly important and can help better constrain estimates of local, regional, and global impacts as well as inform mitigation and adaptation strategies. Despite this high need, scientific understanding of tundra ecology and change remains limited largely due to the inaccessibility of this region and less intensive study compared to other terrestrial biomes. A synthesis of existing datasets from past field studies can make field data more accessible and open up possibilities for collaborative research as well as for investigating and informing future studies. Here, we synthesize field datasets of vegetation, and active layer properties from the Alaskan tundra, one of the most well-studied tundra regions. Given the potential increasingly intensive fire regimes in the tundra, fire history and severity attributes have been added to data points where available. The resulting database is a resource that future investigators can employ to analyze spatial and temporal patterns in soil, vegetation, and fire disturbance-related environmental variables across the Alaskan tundra. This database, titled Synthesized Alaskan Tundra Field Database (SATFiD), can be accessed at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for Biogeochemical Dynamics (Chen et al., 2023: https://doi.org/10.3334/ORNLDAAC/2177 ). Text Arctic Tundra Copernicus Publications: E-Journals Arctic |
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Open Polar |
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Copernicus Publications: E-Journals |
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ftcopernicus |
language |
English |
description |
Studies in recent decades show strong evidence of physical and biological changes in the Arctic tundra largely in response to exceptionally rapid rates of warming. Given the important implications of these changes on ecosystem services, hydrology, surface energy balance, carbon budgets, and climate feedbacks, research on the trends and patterns of these changes is becoming increasingly important and can help better constrain estimates of local, regional, and global impacts as well as inform mitigation and adaptation strategies. Despite this high need, scientific understanding of tundra ecology and change remains limited largely due to the inaccessibility of this region and less intensive study compared to other terrestrial biomes. A synthesis of existing datasets from past field studies can make field data more accessible and open up possibilities for collaborative research as well as for investigating and informing future studies. Here, we synthesize field datasets of vegetation, and active layer properties from the Alaskan tundra, one of the most well-studied tundra regions. Given the potential increasingly intensive fire regimes in the tundra, fire history and severity attributes have been added to data points where available. The resulting database is a resource that future investigators can employ to analyze spatial and temporal patterns in soil, vegetation, and fire disturbance-related environmental variables across the Alaskan tundra. This database, titled Synthesized Alaskan Tundra Field Database (SATFiD), can be accessed at the Oak Ridge National Laboratory Distributed Active Archive Center (ORNL DAAC) for Biogeochemical Dynamics (Chen et al., 2023: https://doi.org/10.3334/ORNLDAAC/2177 ). |
format |
Text |
author |
Zhu, Xiaoran Chen, Dong Kogure, Maruko Hoy, Elizabeth Berner, Logan Breen, Amy Chatterjee, Abhishek Davidson, Scott Frost, Gerald Hollingsworth, Teresa Iwahana, Go Jandt, Randi Kade, Anja Loboda, Tatiana Macander, Matt Mack, Michelle Miller, Charles Miller, Eric Natali, Susan Raynolds, Martha Rocha, Adrian Tsuyuzaki, Shiro Tweedie, Craig Walker, Donald Williams, Mathew Xu, Xin Zhang, Yingtong French, Nancy Goetz, Scott |
spellingShingle |
Zhu, Xiaoran Chen, Dong Kogure, Maruko Hoy, Elizabeth Berner, Logan Breen, Amy Chatterjee, Abhishek Davidson, Scott Frost, Gerald Hollingsworth, Teresa Iwahana, Go Jandt, Randi Kade, Anja Loboda, Tatiana Macander, Matt Mack, Michelle Miller, Charles Miller, Eric Natali, Susan Raynolds, Martha Rocha, Adrian Tsuyuzaki, Shiro Tweedie, Craig Walker, Donald Williams, Mathew Xu, Xin Zhang, Yingtong French, Nancy Goetz, Scott A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020) |
author_facet |
Zhu, Xiaoran Chen, Dong Kogure, Maruko Hoy, Elizabeth Berner, Logan Breen, Amy Chatterjee, Abhishek Davidson, Scott Frost, Gerald Hollingsworth, Teresa Iwahana, Go Jandt, Randi Kade, Anja Loboda, Tatiana Macander, Matt Mack, Michelle Miller, Charles Miller, Eric Natali, Susan Raynolds, Martha Rocha, Adrian Tsuyuzaki, Shiro Tweedie, Craig Walker, Donald Williams, Mathew Xu, Xin Zhang, Yingtong French, Nancy Goetz, Scott |
author_sort |
Zhu, Xiaoran |
title |
A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020) |
title_short |
A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020) |
title_full |
A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020) |
title_fullStr |
A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020) |
title_full_unstemmed |
A synthesized field survey database of vegetation and active layer properties for the Alaskan tundra (1972–2020) |
title_sort |
synthesized field survey database of vegetation and active layer properties for the alaskan tundra (1972–2020) |
publishDate |
2023 |
url |
https://doi.org/10.5194/essd-2023-222 https://essd.copernicus.org/preprints/essd-2023-222/ |
geographic |
Arctic |
geographic_facet |
Arctic |
genre |
Arctic Tundra |
genre_facet |
Arctic Tundra |
op_source |
eISSN: 1866-3516 |
op_relation |
doi:10.5194/essd-2023-222 https://essd.copernicus.org/preprints/essd-2023-222/ |
op_doi |
https://doi.org/10.5194/essd-2023-222 |
_version_ |
1779312329441148928 |