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

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

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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, …

Scientific data, Vol.6(1), pp.155-8

21/08/2019

DOI: https://doi.org/10.1038/s41597-019-0164-9

PMID: 31434899

Résumé

Algorithms

Databases, Factual

Earth, Planet

Forecasting

Plant Leaves - physiology

Remote Sensing Technology

Water

Wildfires

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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Titre: Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications
Créateurs - sans rôle: Marta Yebra - Bushfire & Natural Hazards Cooperative Research Centre, Melbourne, Victoria, Australia. marta.yebra@anu.edu.au
Gianluca Scortechini - Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia
Abdulbaset Badi - School of Environment and Life Sciences, University of Salford, Salford, UK
María Eugenia Beget - Instituto de Clima y Agua, INTA. Hurlingham, Buenos Aires, Argentina
Matthias M Boer - Western Sydney University
Ross Bradstock - University of Wollongong
Emilio Chuvieco - Department of Geology, Geography and the Environment, University of Alcala, Alcala de Henares, Madrid, Spain
F Mark Danson - School of Environment and Life Sciences, University of Salford, Salford, UK
Philip Dennison - Department of Geography, University of Utah, Salt Lake City, USA
Victor Resco de Dios - Universitat de Lleida, Lleida, Spain
Carlos M Di Bella - Instituto de Clima y Agua, INTA. Hurlingham, Buenos Aires, Argentina
Greg Forsyth - CSIR, NRE, Stellenbosch, South Africa
Philip Frost - CSIR Meraka Institute, Pretoria, South Africa
Mariano Garcia - Department of Geology, Geography and the Environment, University of Alcala, Alcala de Henares, Madrid, Spain
Abdelaziz Hamdi - Laboratoire des Ressources Sylvo-Pastorales, Institut Sylvo Pastoral de Tabarka, 8110, Jendouba, Tunisia
Binbin He - University of Electronic Science and Technology of China
Matt Jolly - Rocky Mountain Research Station, Fire Sciences Laboratory, USFS, Montana, USA
Tineke Kraaij - Nelson Mandela University, School of Natural Resource Management, George, South Africa
M Pilar Martín - Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council (CSIC), Madrid, Spain
Florent Mouillot - Université de Montpellier
Glenn Newnham - CSIRO, Clayton South, Victoria, Australia
Rachael H Nolan - Western Sydney University
Grazia Pellizzaro - Istituto di Biometeorologia (Sassari) Consiglio Nazionale delle Ricerche (CNR-IBIMET), Sassari, Italy
Yi Qi - University of Nebraska–Lincoln
Xingwen Quan - University of Electronic Science and Technology of China
David Riaño - Center for Spatial Technologies and Remote Sensing, UC-Davis, Davis, USA
Dar Roberts - University of California, Santa Barbara
Momadou Sow - Institut des Sciences de l'Environnement (ISE), Faculté des Sciences et Techniques, Université Cheikh Anta Diop de Dakar, Dakar, Senegal
Susan Ustin - University of California, Davis
Détails de publication: Scientific data, Vol.6(1), pp.155-8
Identifiants: 99136381209311
Unité académique: Centre d'Ecologie Fonctionnelle et Evolutive - CEFE
Langue: English
Type de ressource: Journal article