Scientific Data (Apr 2024)
Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research
- Marta Yebra,
- Gianluca Scortechini,
- Karine Adeline,
- Nursema Aktepe,
- Turkia Almoustafa,
- Avi Bar-Massada,
- María Eugenia Beget,
- Matthias Boer,
- Ross Bradstock,
- Tegan Brown,
- Francesc Xavier Castro,
- Rui Chen,
- Emilio Chuvieco,
- Mark Danson,
- Cihan Ünal Değirmenci,
- Ruth Delgado-Dávila,
- Philip Dennison,
- Carlos Di Bella,
- Oriol Domenech,
- Jean-Baptiste Féret,
- Greg Forsyth,
- Eva Gabriel,
- Zisis Gagkas,
- Fatma Gharbi,
- Elena Granda,
- Anne Griebel,
- Binbin He,
- Matt Jolly,
- Ivan Kotzur,
- Tineke Kraaij,
- Agnes Kristina,
- Pınar Kütküt,
- Jean-Marc Limousin,
- M. Pilar Martín,
- Antonio T. Monteiro,
- Marco Morais,
- Bruno Moreira,
- Florent Mouillot,
- Samukelisiwe Msweli,
- Rachael H. Nolan,
- Grazia Pellizzaro,
- Yi Qi,
- Xingwen Quan,
- Victor Resco de Dios,
- Dar Roberts,
- Çağatay Tavşanoğlu,
- Andy F. S. Taylor,
- Jackson Taylor,
- İrem Tüfekcioğlu,
- Andrea Ventura,
- Nicolas Younes Cardenas
Affiliations
- Marta Yebra
- Fenner School of Environment & Society, Australian National University
- Gianluca Scortechini
- Fenner School of Environment & Society, Australian National University
- Karine Adeline
- ONERA / DOTA, Université de Toulouse
- Nursema Aktepe
- Department of Biology, Kastamonu University
- Turkia Almoustafa
- School of Environment and Life Sciences, University of Salford
- Avi Bar-Massada
- Department of Biology and Environment, University of Haifa at Oranim
- María Eugenia Beget
- Instituto Nacional de Tecnología Agropecuaria
- Matthias Boer
- Hawkesbury Institute for the Environment, Western Sydney University
- Ross Bradstock
- University of Wollongong
- Tegan Brown
- US Forest Service, Rocky Mountain Research Station, Fire Sciences Laboratory
- Francesc Xavier Castro
- Servei de Prevenció d’Incendis Forestals (Generalitat de Catalunya), Santa Perpètua de Mogoda
- Rui Chen
- School of Resources and Environment, University of Electronic Science and Technology of China
- Emilio Chuvieco
- Department of Geology, Geography and the Environment, University of Alcalá
- Mark Danson
- School of Environment and Life Sciences, University of Salford
- Cihan Ünal Değirmenci
- Division of Ecology, Department of Biology, Hacettepe University
- Ruth Delgado-Dávila
- Joint Research Unit CTFC - AGROTECNIO
- Philip Dennison
- Department of Geography, University of Utah
- Carlos Di Bella
- IFEVA-CONICET, Faculty of Agronomy, University of Buenos Aires
- Oriol Domenech
- Centre Forestal de les Illes Balears (CEFOR-Menut), Forest Management Service (Government of the Balearic Islands)
- Jean-Baptiste Féret
- INRAE, UMR TETIS
- Greg Forsyth
- CSIR, NRE
- Eva Gabriel
- Servei de Prevenció d’Incendis Forestals (Generalitat de Catalunya), Santa Perpètua de Mogoda
- Zisis Gagkas
- Environmental and Biochemical Sciences Department, The James Hutton Institute
- Fatma Gharbi
- Faculty of Sciences of Tunis, University of Tunis El Manar
- Elena Granda
- Departamento de Ciencias de la Vida, Universidad de Alcalá
- Anne Griebel
- Hawkesbury Institute for the Environment, Western Sydney University
- Binbin He
- School of Resources and Environment, University of Electronic Science and Technology of China
- Matt Jolly
- RMRS, Missoula Fire Sciences Laboratory, USFS, Rocky Mountain Research Station
- Ivan Kotzur
- Hawkesbury Institute for the Environment, Western Sydney University
- Tineke Kraaij
- Nelson Mandela University, School of Natural Resource Management
- Agnes Kristina
- Bushfire Technical Services, DFES WA
- Pınar Kütküt
- Division of Ecology, Department of Biology, Hacettepe University
- Jean-Marc Limousin
- CEFE, Univ Montpellier, CNRS, EPHE, IRD
- M. Pilar Martín
- Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), IEGD, Spanish National Research Council (CSIC)
- Antonio T. Monteiro
- Centro de Estudos Geográficos (CEG) and Laboratório Associado TERRA, Instituto de Geografia e Ordenamento do Território (IGOT), Universidade de Lisboa, Rua Edmée Marques
- Marco Morais
- Department of Geography, University of California
- Bruno Moreira
- Department of Ecology and Global Change. Centro de Investigaciones sobre Desertificación (CIDE-CSIC/UV/GV). Carretera Moncada-Náquera km 4, 5 s/n
- Florent Mouillot
- IRD, CEFE/CNRS
- Samukelisiwe Msweli
- Natural Resource Science and Management Cluster, Nelson Mandela University
- Rachael H. Nolan
- Hawkesbury Institute for the Environment, Western Sydney University
- Grazia Pellizzaro
- Istituto per la Bioeconomia, Consiglio Nazionale delle Ricerche, (CNR-IBE)
- Yi Qi
- University of Nebraska-Lincoln
- Xingwen Quan
- School of Resources and Environment, University of Electronic Science and Technology of China
- Victor Resco de Dios
- Universitat de Lleida
- Dar Roberts
- Department of Geography, University of California
- Çağatay Tavşanoğlu
- Division of Ecology, Department of Biology, Hacettepe University
- Andy F. S. Taylor
- Ecological Sciences Department. The James Hutton Institute
- Jackson Taylor
- Fenner School of Environment & Society, Australian National University
- İrem Tüfekcioğlu
- Division of Ecology, Department of Biology, Hacettepe University
- Andrea Ventura
- Istituto per la Bioeconomia, Consiglio Nazionale delle Ricerche, (CNR-IBE)
- Nicolas Younes Cardenas
- Fenner School of Environment & Society, Australian National University
- DOI
- https://doi.org/10.1038/s41597-024-03159-6
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 12
Abstract
Abstract Globe-LFMC 2.0, an updated version of Globe-LFMC, is a comprehensive dataset of over 280,000 Live Fuel Moisture Content (LFMC) measurements. These measurements were gathered through field campaigns conducted in 15 countries spanning 47 years. In contrast to its prior version, Globe-LFMC 2.0 incorporates over 120,000 additional data entries, introduces more than 800 new sampling sites, and comprises LFMC values obtained from samples collected until the calendar year 2023. Each entry within the dataset provides essential information, including date, geographical coordinates, plant species, functional type, and, where available, topographical details. Moreover, the dataset encompasses insights into the sampling and weighing procedures, as well as information about land cover type and meteorological conditions at the time and location of each sampling event. Globe-LFMC 2.0 can facilitate advanced LFMC research, supporting studies on wildfire behaviour, physiological traits, ecological dynamics, and land surface modelling, whether remote sensing-based or otherwise. This dataset represents a valuable resource for researchers exploring the diverse LFMC aspects, contributing to the broader field of environmental and ecological research.
