Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

Marta Yebra; Gianluca Scortechini; Abdulbaset Badi; María Eugenia Beget; Matthias M. Boer; Ross Bradstock; Emilio Chuvieco; F. Mark Danson; Philip Dennison; Victor Resco de Dios; Carlos M. Di Bella; Greg Forsyth; Philip Frost; Mariano Garcia; Abdelaziz Hamdi; Binbin He; Matt Jolly; Tineke Kraaij; M. Pilar Martín; Florent Mouillot; Glenn Newnham; Rachael H. Nolan; Grazia Pellizzaro; Yi Qi; Xingwen Quan; David Riaño; Dar Roberts; Momadou Sow; Susan Ustin

doi:10.1038/s41597-019-0164-9

Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

Marta Yebra, Gianluca Scortechini, Abdulbaset Badi, María Eugenia Beget, Matthias M. Boer, Ross Bradstock, Emilio Chuvieco, F. Mark Danson, Philip Dennison, Victor Resco de Dios, Carlos M. Di Bella, Greg Forsyth, Philip Frost, Mariano Garcia, Abdelaziz Hamdi, Binbin He, Matt Jolly, Tineke Kraaij, M. Pilar Martín, Florent MouillotGlenn Newnham, Rachael H. Nolan, Grazia Pellizzaro, Yi Qi, Xingwen Quan, David Riaño, Dar Roberts, Momadou Sow, Susan Ustin

Daugherty Water for Food Global Institute

Research output: Contribution to journal › Article › peer-review

57 Scopus citations

Abstract

Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the United States of America. The database contains 161,717 individual records based on in situ destructive samples used to measure LFMC, representing the amount of water in plant leaves per unit of dry matter. The primary goal of the database is to calibrate and validate remote sensing algorithms used to predict LFMC. However, this database is also relevant for the calibration and validation of dynamic global vegetation models, eco-physiological models of plant water stress as well as understanding the physiological drivers of spatiotemporal variation in LFMC at local, regional and global scales. Globe-LFMC should be useful for studying LFMC trends in response to environmental change and LFMC influence on wildfire occurrence, wildfire behavior, and overall vegetation health.

Original language	English (US)
Article number	155
Journal	Scientific Data
Volume	6
Issue number	1
DOIs	https://doi.org/10.1038/s41597-019-0164-9
State	Published - Dec 1 2019

ASJC Scopus subject areas

Statistics and Probability
Information Systems
Education
Computer Science Applications
Statistics, Probability and Uncertainty
Library and Information Sciences

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Yebra, M., Scortechini, G., Badi, A., Beget, M. E., Boer, M. M., Bradstock, R., Chuvieco, E., Danson, F. M., Dennison, P., Resco de Dios, V., Di Bella, C. M., Forsyth, G., Frost, P., Garcia, M., Hamdi, A., He, B., Jolly, M., Kraaij, T., Martín, M. P., ... Ustin, S. (2019). Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications. Scientific Data, 6(1), Article 155. https://doi.org/10.1038/s41597-019-0164-9

Yebra, M, Scortechini, G, Badi, A, Beget, ME, Boer, MM, Bradstock, R, Chuvieco, E, Danson, FM, Dennison, P, Resco de Dios, V, Di Bella, CM, Forsyth, G, Frost, P, Garcia, M, Hamdi, A, He, B, Jolly, M, Kraaij, T, Martín, MP, Mouillot, F, Newnham, G, Nolan, RH, Pellizzaro, G, Qi, Y, Quan, X, Riaño, D, Roberts, D, Sow, M & Ustin, S 2019, 'Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications', Scientific Data, vol. 6, no. 1, 155. https://doi.org/10.1038/s41597-019-0164-9

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abstract = "Globe-LFMC is an extensive global database of live fuel moisture content (LFMC) measured from 1,383 sampling sites in 11 countries: Argentina, Australia, China, France, Italy, Senegal, Spain, South Africa, Tunisia, United Kingdom and the United States of America. The database contains 161,717 individual records based on in situ destructive samples used to measure LFMC, representing the amount of water in plant leaves per unit of dry matter. The primary goal of the database is to calibrate and validate remote sensing algorithms used to predict LFMC. However, this database is also relevant for the calibration and validation of dynamic global vegetation models, eco-physiological models of plant water stress as well as understanding the physiological drivers of spatiotemporal variation in LFMC at local, regional and global scales. Globe-LFMC should be useful for studying LFMC trends in response to environmental change and LFMC influence on wildfire occurrence, wildfire behavior, and overall vegetation health.",

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AU - Bradstock, Ross

AU - Chuvieco, Emilio

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AU - Resco de Dios, Victor

AU - Di Bella, Carlos M.

AU - Forsyth, Greg

AU - Frost, Philip

AU - Garcia, Mariano

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AU - He, Binbin

AU - Jolly, Matt

AU - Kraaij, Tineke

AU - Martín, M. Pilar

AU - Mouillot, Florent

AU - Newnham, Glenn

AU - Nolan, Rachael H.

AU - Pellizzaro, Grazia

AU - Qi, Yi

AU - Quan, Xingwen

AU - Riaño, David

AU - Roberts, Dar

AU - Sow, Momadou

AU - Ustin, Susan

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Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

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