A synthesized field survey database of vegetation and active-layer properties for the Alaskan tundra (1972–2020)

Studies in recent decades have shown strong evidence of physical and biological changes in the Arctic tundra, largely in response to rapid rates of warming. Given the important implications of these changes for ecosystem services, hydrology, surface energy balance, carbon budgets, and climate feedba...

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Veröffentlicht in:	Earth system science data Jg. 16; H. 8; S. 3687 - 3703
Hauptverfasser:	Zhu, Xiaoran, Chen, Dong, Kogure, Maruko, Hoy, Elizabeth, Berner, Logan T., Breen, Amy L., Chatterjee, Abhishek, Davidson, Scott J., Frost, Gerald V., Hollingsworth, Teresa N., Iwahana, Go, Jandt, Randi R., Kade, Anja N., Loboda, Tatiana V., Macander, Matt J., Mack, Michelle, Miller, Charles E., Miller, Eric A., Natali, Susan M., Raynolds, Martha K., Rocha, Adrian V., Tsuyuzaki, Shiro, Tweedie, Craig E., Walker, Donald A., Williams, Mathew, Xu, Xin, Zhang, Yingtong, French, Nancy, Goetz, Scott
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Katlenburg-Lindau Copernicus GmbH 16.08.2024 Copernicus Publications
Schlagworte:	Archives & records Biological properties Carbon budget Climate feedback Climate feedbacks Coastal plains Data points Datasets Ecosystem services Ecosystems Energy balance Fires Hydrology Mitigation Permafrost Predation Research facilities Soil analysis Soil investigations Surface energy Surface energy balance Surface properties Surveys Synthesis Taiga & tundra Tundra Tundra ecology Tundras Variables Vegetation Alaska Seward Peninsula United States > US Arctic region North Slope
ISSN:	1866-3516, 1866-3508, 1866-3516
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Abstract	Studies in recent decades have shown strong evidence of physical and biological changes in the Arctic tundra, largely in response to rapid rates of warming. Given the important implications of these changes for 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 great need, scientific understanding of tundra ecology and change remains limited, largely due to the inaccessibility of this region and less intensive studies 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 potentially increasing 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 the 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).
AbstractList	Studies in recent decades have shown strong evidence of physical and biological changes in the Arctic tundra, largely in response to rapid rates of warming. Given the important implications of these changes for 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 great need, scientific understanding of tundra ecology and change remains limited, largely due to the inaccessibility of this region and less intensive studies 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 potentially increasing 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 the 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: Studies in recent decades have shown strong evidence of physical and biological changes in the Arctic tundra, largely in response to rapid rates of warming. Given the important implications of these changes for 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 great need, scientific understanding of tundra ecology and change remains limited, largely due to the inaccessibility of this region and less intensive studies 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 potentially increasing 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 the 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 ). Studies in recent decades have shown strong evidence of physical and biological changes in the Arctic tundra, largely in response to rapid rates of warming. Given the important implications of these changes for 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 great need, scientific understanding of tundra ecology and change remains limited, largely due to the inaccessibility of this region and less intensive studies 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 potentially increasing 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 the 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: 10.3334/ORNLDAAC/2177).
Audience	Academic
Author	Mack, Michelle Chen, Dong Rocha, Adrian V. Hollingsworth, Teresa N. Jandt, Randi R. Xu, Xin Davidson, Scott J. Frost, Gerald V. French, Nancy Hoy, Elizabeth Loboda, Tatiana V. Natali, Susan M. Raynolds, Martha K. Berner, Logan T. Breen, Amy L. Kogure, Maruko Macander, Matt J. Williams, Mathew Iwahana, Go Kade, Anja N. Tweedie, Craig E. Zhang, Yingtong Miller, Charles E. Goetz, Scott Chatterjee, Abhishek Zhu, Xiaoran Tsuyuzaki, Shiro Miller, Eric A. Walker, Donald A.
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SubjectTerms	Archives & records Biological properties Carbon budget Climate feedback Climate feedbacks Coastal plains Data points Datasets Ecosystem services Ecosystems Energy balance Fires Hydrology Mitigation Permafrost Predation Research facilities Soil analysis Soil investigations Surface energy Surface energy balance Surface properties Surveys Synthesis Taiga & tundra Tundra Tundra ecology Tundras Variables Vegetation
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Title	A synthesized field survey database of vegetation and active-layer properties for the Alaskan tundra (1972–2020)
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