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Comparing assumptions and applications of dynamic vegetation models used in the Arctic-Boreal zone of Alaska and Canada

Bibliographic Data

ID15547698
AuthorsElise Heffernan (0009-0005-5540-7507, University of Virginia, corresponding author), Howard E Epstein (0000-0003-2817-4486, University of Virginia), Howard Epstein, Tim McQuinn (University of Virginia), T Declan McQuinn, Brendan M Rogers (0000-0001-6711-8466, Woodwell Climate Research Center), Anna‐Maria Virkkala (0000-0003-4877-2918, Woodwell Climate Research Center), David Lutz, David A Lutz (0000-0001-8780-7576, Dartmouth College), Amanda Armstrong (0000-0003-0314-7406), A H Armstrong (0000-0002-9123-8924, Goddard Space Flight Center)
Year2024
Volume19
Issue9
Pages093003-093003
Publication date2024-07-22
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueEnvironmental Research Letters (JOURNAL)
Journal identifiersISSN: 1748-9326 • E-ISSN: 1748-9326
PublisherIOP Publishing (PUBLISHER • GB)
DOI10.1088/1748-9326/ad6619
OpenAlexW4400872533
LanguageEN
References cited142

Modeling Arctic-Boreal vegetation is a challenging but important task, since this highly dynamic ecosystem is undergoing rapid and substantial environmental change. In this work, we synthesized information on 18 dynamic vegetation models (DVMs) that can be used to project vegetation structure, composition, and function in North American Arctic-Boreal ecosystems. We reviewed the ecosystem properties and scaling assumptions these models make, reviewed their applications from the scholarly literature, and conducted a survey of expert opinion to determine which processes are important but lacking in DVMs. We then grouped the models into four categories (specific intention models, forest species models, cohort models, and carbon tracking models) using cluster analysis to highlight similarities among the models. Our application review identified 48 papers that addressed vegetation dynamics either directly (22) or indirectly (26). The expert survey results indicated a large desire for increased representation of active layer depth and permafrost in future model development. Ultimately, this paper serves as a summary of DVM development and application in Arctic-Boreal environments and can be used as a guide for potential model users, thereby prioritizing options for model development

Archaeology · Arctic · Arctic vegetation · Boreal · Climatology · Geography · Physical geography · Taiga · The arctic · Tundra · Vegetation (pathology · Climate change and permafrost · Environmental Science · Geology and Paleoclimatology Research · Tree-ring climate responses · Forestry · Geology · Oceanography

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