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The Fire and Tree Mortality Database, for empirical modeling of individual tree mortality after fire.

Authors :
Cansler CA
Hood SM
Varner JM
van Mantgem PJ
Agne MC
Andrus RA
Ayres MP
Ayres BD
Bakker JD
Battaglia MA
Bentz BJ
Breece CR
Brown JK
Cluck DR
Coleman TW
Corace RG 3rd
Covington WW
Cram DS
Cronan JB
Crouse JE
Das AJ
Davis RS
Dickinson DM
Fitzgerald SA
Fulé PZ
Ganio LM
Grayson LM
Halpern CB
Hanula JL
Harvey BJ
Kevin Hiers J
Huffman DW
Keifer M
Keyser TL
Kobziar LN
Kolb TE
Kolden CA
Kopper KE
Kreitler JR
Kreye JK
Latimer AM
Lerch AP
Lombardero MJ
McDaniel VL
McHugh CW
McMillin JD
Moghaddas JJ
O'Brien JJ
Perrakis DDB
Peterson DW
Prichard SJ
Progar RA
Raffa KF
Reinhardt ED
Restaino JC
Roccaforte JP
Rogers BM
Ryan KC
Safford HD
Santoro AE
Shearman TM
Shumate AM
Sieg CH
Smith SL
Smith RJ
Stephenson NL
Stuever M
Stevens JT
Stoddard MT
Thies WG
Vaillant NM
Weiss SA
Westlind DJ
Woolley TJ
Wright MC
Source :
Scientific data [Sci Data] 2020 Jun 22; Vol. 7 (1), pp. 194. Date of Electronic Publication: 2020 Jun 22.
Publication Year :
2020

Abstract

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.

Details

Language :
English
ISSN :
2052-4463
Volume :
7
Issue :
1
Database :
MEDLINE
Journal :
Scientific data
Publication Type :
Academic Journal
Accession number :
32572035
Full Text :
https://doi.org/10.1038/s41597-020-0522-7