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

Marta Yebra; Gianluca Scortechini; Abdulbaset Badi; Maria 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 Martin; Florent Mouillot; Glenn Newnham; Rachael H. Nolan; Grazia Pellizzaro; Yi Qi; Xingwen Quan; David Riano; 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, Maria 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 Martin, Florent MouillotGlenn Newnham, Rachael H. Nolan, Grazia Pellizzaro, Yi Qi, Xingwen Quan, David Riano, Dar Roberts, Momadou Sow, Susan Ustin

Western Sydney University

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

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. Please note that a correction to this data descriptor was issued 29 November 2019. The original HTML and PDF versions have been corrected, and the underlying data have been corrected in the associated figshare record.

Original language	English
Article number	155
Number of pages	8
Journal	Scientific Data
Volume	6
DOIs	https://doi.org/10.1038/s41597-019-0164-9
Publication status	Published - 2019

Open Access - Access Right Statement

Â© The Author(s) 2019. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

Keywords

databases
fuelwood
moisture
plant ecophysiology
wildfires

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1038/s41597-019-0164-9

Cite this

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., Martin, M. P., ... Ustin, S. (2019). Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications. Scientific Data, 6, Article 155. https://doi.org/10.1038/s41597-019-0164-9

@article{d177aed0e6d046cb8a999f7272bde102,

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

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. Please note that a correction to this data descriptor was issued 29 November 2019. The original HTML and PDF versions have been corrected, and the underlying data have been corrected in the associated figshare record.",

keywords = "databases, fuelwood, moisture, plant ecophysiology, wildfires",

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

year = "2019",

doi = "10.1038/s41597-019-0164-9",

language = "English",

volume = "6",

journal = "Scientific Data",

issn = "2052-4463",

publisher = "Nature Publishing Group",

}

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, Martin, MP, Mouillot, F, Newnham, G, Nolan, RH, Pellizzaro, G, Qi, Y, Quan, X, Riano, 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, 155. https://doi.org/10.1038/s41597-019-0164-9

TY - JOUR

T1 - Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications

AU - Yebra, Marta

AU - Scortechini, Gianluca

AU - Badi, Abdulbaset

AU - Beget, Maria Eugenia

AU - Boer, Matthias M.

AU - Bradstock, Ross

AU - Chuvieco, Emilio

AU - Danson, F. Mark

AU - Dennison, Philip

AU - Resco de Dios, Victor

AU - Di Bella, Carlos M.

AU - Forsyth, Greg

AU - Frost, Philip

AU - Garcia, Mariano

AU - Hamdi, Abdelaziz

AU - He, Binbin

AU - Jolly, Matt

AU - Kraaij, Tineke

AU - Martin, M. Pilar

AU - Mouillot, Florent

AU - Newnham, Glenn

AU - Nolan, Rachael H.

AU - Pellizzaro, Grazia

AU - Qi, Yi

AU - Quan, Xingwen

AU - Riano, David

AU - Roberts, Dar

AU - Sow, Momadou

AU - Ustin, Susan

PY - 2019

Y1 - 2019

N2 - 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. Please note that a correction to this data descriptor was issued 29 November 2019. The original HTML and PDF versions have been corrected, and the underlying data have been corrected in the associated figshare record.

AB - 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. Please note that a correction to this data descriptor was issued 29 November 2019. The original HTML and PDF versions have been corrected, and the underlying data have been corrected in the associated figshare record.

KW - databases

KW - fuelwood

KW - moisture

KW - plant ecophysiology

KW - wildfires

UR - http://handle.westernsydney.edu.au:8081/1959.7/uws:52666

U2 - 10.1038/s41597-019-0164-9

DO - 10.1038/s41597-019-0164-9

M3 - Article

SN - 2052-4463

VL - 6

JO - Scientific Data

JF - Scientific Data

M1 - 155

ER -

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

Abstract

Open Access - Access Right Statement

Keywords

UN SDGs

Access to Document

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