The Fire and Tree Mortality Database, for empirical modeling of individual tree mortality after fire
| Autor: | James B. Cronan, Tara L. Keyser, Jens T. Stevens, Joseph C. Restaino, Barbara J. Bentz, Sharon M. Hood, Crystal A. Kolden, Virginia L. McDaniel, John Paul Roccaforte, Kevin C. Ryan, Joseph J. O'Brien, Jonathan D. Bakker, Douglas J. Westlind, Karen E. Kopper, Robert A. Andrus, Carolyn Hull Sieg, María J. Lombardero, Peter Z. Fulé, Charles W. McHugh, Jim L. Hanula, Micah Charles Wright, Jason Kreitler, Michael T. Stoddard, Ryan S. Davis, R. Gregory Corace, Douglas S. Cram, Sheri L. Smith, Nicole M. Vaillant, Nathan L. Stephenson, Joel D. McMillin, Rebecca J. Smith, Tom W. Coleman, Adrian J. Das, Andrew M. Latimer, Thomas Kolb, Mary Stuever, J. Kevin Hiers, Lisa M. Ganio, Shelby A. Weiss, W. Wallace Covington, Carolyn R. Breece, Jason J. Moghaddas, Travis Woolley, Brendan M. Rogers, David W. Peterson, Charles B. Halpern, Darci M. Dickinson, Kenneth F. Raffa, Daniel R. Cluck, Elizabeth D. Reinhardt, Hugh D. Safford, J. Morgan Varner, Brian J. Harvey, Joseph E. Crouse, Susan J. Prichard, Mary Beth Keifer, Matthew P. Ayres, Alyson E. Santoro, Phillip J. van Mantgem, Daniel D. B. Perrakis, Lindsay M. Grayson, Timothy M. Shearman, Bruce D. Ayres, Michael Battaglia, Andrew P. Lerch, Michelle C. Agne, David W. Huffman, Jesse K. Kreye, Robert A. Progar, James K. Brown, Stephen Arthur Fitzgerald, Alice M. Shumate, C. Alina Cansler, Leda N. Kobziar, Walter G. Thies |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
Statistics and Probability Data Descriptor 010504 meteorology & atmospheric sciences Range (biology) Woodland Forests Library and Information Sciences computer.software_genre 010603 evolutionary biology 01 natural sciences Fires Trees Education lcsh:Science Ecological modelling 0105 earth and related environmental sciences Database Fire ecology Forestry United States Computer Science Applications Tree (data structure) Good Health and Well Being Geography Databases as Topic lcsh:Q Statistics Probability and Uncertainty computer Information Systems |
| Zdroj: | Scientific data, vol 7, iss 1 Scientific Data, Vol 7, Iss 1, Pp 1-14 (2020) Scientific Data |
| ISSN: | 2052-4463 |
| Popis: | Wildland fires have a multitude of ecological effects in forests, woodlands, and savannas across the globe. A major focus of past research has been on tree mortality from fire, as trees provide a vast range of biological services. We assembled a database of individual-tree records from prescribed fires and wildfires in the United States. The Fire and Tree Mortality (FTM) database includes records from 164,293 individual trees with records of fire injury (crown scorch, bole char, etc.), tree diameter, and either mortality or top-kill up to ten years post-fire. Data span 142 species and 62 genera, from 409 fires occurring from 1981-2016. Additional variables such as insect attack are included when available. The FTM database can be used to evaluate individual fire-caused mortality models for pre-fire planning and post-fire decision support, to develop improved models, and to explore general patterns of individual fire-induced tree death. The database can also be used to identify knowledge gaps that could be addressed in future research. Measurement(s)plant morphology trait • tree mortality • fire • tree fire injury • wildfireTechnology Type(s)digital curationFactor Type(s)year of data collection • geographic location of fire • tree fire injurySample Characteristic - OrganismtreesSample Characteristic - Environmentforest ecosystemSample Characteristic - LocationCascades Region • Blue Mountains • Far Northern Rockies • Sierra Nevada • Piedmont Province • Region of Piedmont • Atlantic and Gulf Coastal Plain Floristic Province • Northern Rocky Mountains Provincial Park Machine-accessible metadata file describing the reported data: 10.6084/m9.figshare.12369293 |
| Databáze: | OpenAIRE |
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