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

Sci Data. 2019 Aug 21;6(1):155. doi: 10.1038/s41597-019-0164-9.

Authors

Marta Yebra^{1

2}, Gianluca Scortechini³, Abdulbaset Badi⁴, María Eugenia Beget⁵, Matthias M Boer⁶, Ross Bradstock⁷, Emilio Chuvieco⁸, F Mark Danson⁴, Philip Dennison⁹, Victor Resco de Dios¹⁰, Carlos M Di Bella⁵, Greg Forsyth¹¹, Philip Frost¹², Mariano Garcia⁸, Abdelaziz Hamdi¹³, Binbin He¹⁴, Matt Jolly¹⁵, Tineke Kraaij¹⁶, M Pilar Martín¹⁷, Florent Mouillot¹⁸, Glenn Newnham¹⁹, Rachael H Nolan⁶, Grazia Pellizzaro²⁰, Yi Qi²¹, Xingwen Quan¹⁴, David Riaño^{17

22}, Dar Roberts²³, Momadou Sow²⁴, Susan Ustin²²

Affiliations

¹ Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia. [email protected].
² Bushfire & Natural Hazards Cooperative Research Centre, Melbourne, Victoria, Australia. [email protected].
³ Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia.
⁴ School of Environment and Life Sciences, University of Salford, Salford, UK.
⁵ Instituto de Clima y Agua, INTA. Hurlingham, Buenos Aires, Argentina.
⁶ Hawkesbury Institute for the Environment, Western Sydney University, Sydney, NSW, Australia.
⁷ University of Wollongong, Wollongong, NSW, Australia.
⁸ Department of Geology, Geography and the Environment, University of Alcala, Alcala de Henares, Madrid, Spain.
⁹ Department of Geography, University of Utah, Salt Lake City, USA.
¹⁰ Universitat de Lleida, Lleida, Spain.
¹¹ CSIR, NRE, Stellenbosch, South Africa.
¹² CSIR Meraka Institute, Pretoria, South Africa.
¹³ Laboratoire des Ressources Sylvo-Pastorales, Institut Sylvo Pastoral de Tabarka, 8110, Jendouba, Tunisia.
¹⁴ School of Resources and Environment, University of Electronic Science and Technology of China, Sichuan, China.
¹⁵ Rocky Mountain Research Station, Fire Sciences Laboratory, USFS, Montana, USA.
¹⁶ Nelson Mandela University, School of Natural Resource Management, George, South Africa.
¹⁷ Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council (CSIC), Madrid, Spain.
¹⁸ UMR CEFE, CNRS, université de Montpellier, Université Paul Valery Montpellier, EPHE, IRD, 1919 route de mende, 34293, Montpellier Cedex 5, France.
¹⁹ CSIRO, Clayton South, Victoria, Australia.
²⁰ Istituto di Biometeorologia (Sassari) Consiglio Nazionale delle Ricerche (CNR-IBIMET), Sassari, Italy.
²¹ University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
²² Center for Spatial Technologies and Remote Sensing, UC-Davis, Davis, USA.
²³ Department of Geography, University of California, Santa Barbara, USA.
²⁴ Institut des Sciences de l'Environnement (ISE), Faculté des Sciences et Techniques, Université Cheikh Anta Diop de Dakar, Dakar, Senegal.

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.

Publication types

Dataset
Research Support, Non-U.S. Gov't

MeSH terms

Algorithms
Databases, Factual
Earth, Planet
Forecasting
Plant Leaves / physiology*
Remote Sensing Technology
Water*
Wildfires*

Substances

Water