Data Set Citation:
When using this data, please cite the data package:
NCEAS 12141: Balch: Relative influence of fuels, climate, and ignition on fire frequency across earth's ecosystems , National Center for Ecological Analysis and Synthesis , and Balch J. 2012.
Fire-induced tree mortality in a tropical forest: The roles of bark traits, tree size, wood density, and fire behavior
nceas.990.1 (https://knb.ecoinformatics.org:443/knb/metacat/nceas.990.1/nceas)
General Information:
Title:Fire-induced tree mortality in a tropical forest: The roles of bark traits, tree size, wood density, and fire behavior
Identifier:nceas.990
Abstract:
Data presented here correspond to the following publication: Brando, P.M., D.C. Nepstad, J.K. Balch, B. Bolker, M.C. Christman, M.T. Coe, and F.E. Putz. 2012. “Fire-induced tree mortality in a tropical forest: The roles of bark traits, tree size, wood density, and fire behavior.” Global Change Biology 18: 630-641.
Keywords:None:
  • Generalized linear models
GCMD:
  • Amazon
  • Bark thickness
  • Climate change
  • Fire
  • Forest dieback
  • Newton's law of cooling
  • Plant traits
  • Tree mortality
  • Wood density
Publication Date:2012-07-24

Involved Parties

Data Set Creators:
Organization:NCEAS 12141: Balch: Relative influence of fuels, climate, and ignition on fire frequency across earth's ecosystems
Organization:National Center for Ecological Analysis and Synthesis
Individual: Jennifer Balch
Organization:National Center for Ecological Analysis and Synthesis
Address:
735 State Street, Suite 300,
Santa Barbara, California 93101 USA
Email Address:
jennifer.k.balch@gmail.com
Data Set Contacts:
Individual: Jennifer Balch
Organization:National Center for Ecological Analysis and Synthesis
Address:
735 State Street, Suite 300,
Santa Barbara, California 93101 USA
Email Address:
jennifer.k.balch@gmail.com
Associated Parties:
Individual: Jennifer Balch
Individual: Paulo Brando
Individual: Daniel Nepstad
Individual: Benjamin Bolker
Individual: Mary Christman
Individual: Michael Coe
Individual: Francis Putz
Metadata Providers:
Individual: Xueying Han

Data Set Characteristics

Geographic Region:
Geographic Description:The study was conducted in a transitional forest in the southern part of the Amazon Basin where average annual precipitation is 1800mm and the dry season extends from May to September.
Bounding Coordinates:
West:  -52.3833  degrees
East:  -52.3833  degrees
North:  -13.0667  degrees
South:  -13.0667  degrees
Time Period:
Begin:
2004
End:
2010

Sampling, Processing and Quality Control Methods

Step by Step Procedures
Step 1:  
Description:

Methods

We conducted a series of field experiments to evaluate how different bark traits influence the likelihood of fire-induced tree mortality. First, we heated the air adjacent to the outer bark of trees with a propane torch to relate heat transfer rates (R) to bark traits. Second, we developed a predictive model of bark thickness as a function of tree dbh for the 24 most common species. Third, based on predicted bark thickness, we estimated R (referred to as R) for each tree (10 cm dbh) in experimental plots subjected to different fire frequencies. Fourth, we tested several statistical models of mortality as a function of R for trees in two 50 ha plots that were burned either twice (B2) or five times (B5) between 2004 and 2010. Finally, we compared the importance of ^R with other plant traits in avoiding fire-induced mortality.

Data Set Usage Rights

no restrictions
Access Control:
Auth System:knb
Order:allowFirst
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Metadata download: Ecological Metadata Language (EML) File