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Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications.
Yebra, Marta; Scortechini, Gianluca; Badi, Abdulbaset; Beget, María Eugenia; Boer, Matthias M; Bradstock, Ross; Chuvieco, Emilio; Danson, F Mark; Dennison, Philip; Resco de Dios, Victor; Di Bella, Carlos M; Forsyth, Greg; Frost, Philip; Garcia, Mariano; Hamdi, Abdelaziz; He, Binbin; Jolly, Matt; Kraaij, Tineke; Martín, M Pilar; Mouillot, Florent; Newnham, Glenn; Nolan, Rachael H; Pellizzaro, Grazia; Qi, Yi; Quan, Xingwen; Riaño, David; Roberts, Dar; Sow, Momadou; Ustin, Susan.
Afiliação
  • Yebra M; Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia. marta.yebra@anu.edu.au.
  • Scortechini G; Bushfire & Natural Hazards Cooperative Research Centre, Melbourne, Victoria, Australia. marta.yebra@anu.edu.au.
  • Badi A; Fenner School of Environment & Society, Australian National University, Canberra, ACT, Australia.
  • Beget ME; School of Environment and Life Sciences, University of Salford, Salford, UK.
  • Boer MM; Instituto de Clima y Agua, INTA. Hurlingham, Buenos Aires, Argentina.
  • Bradstock R; Hawkesbury Institute for the Environment, Western Sydney University, Sydney, NSW, Australia.
  • Chuvieco E; University of Wollongong, Wollongong, NSW, Australia.
  • Danson FM; Department of Geology, Geography and the Environment, University of Alcala, Alcala de Henares, Madrid, Spain.
  • Dennison P; School of Environment and Life Sciences, University of Salford, Salford, UK.
  • Resco de Dios V; Department of Geography, University of Utah, Salt Lake City, USA.
  • Di Bella CM; Universitat de Lleida, Lleida, Spain.
  • Forsyth G; Instituto de Clima y Agua, INTA. Hurlingham, Buenos Aires, Argentina.
  • Frost P; CSIR, NRE, Stellenbosch, South Africa.
  • Garcia M; CSIR Meraka Institute, Pretoria, South Africa.
  • Hamdi A; Department of Geology, Geography and the Environment, University of Alcala, Alcala de Henares, Madrid, Spain.
  • He B; Laboratoire des Ressources Sylvo-Pastorales, Institut Sylvo Pastoral de Tabarka, 8110, Jendouba, Tunisia.
  • Jolly M; School of Resources and Environment, University of Electronic Science and Technology of China, Sichuan, China.
  • Kraaij T; Rocky Mountain Research Station, Fire Sciences Laboratory, USFS, Montana, USA.
  • Martín MP; Nelson Mandela University, School of Natural Resource Management, George, South Africa.
  • Mouillot F; Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council (CSIC), Madrid, Spain.
  • Newnham G; UMR CEFE, CNRS, université de Montpellier, Université Paul Valery Montpellier, EPHE, IRD, 1919 route de mende, 34293, Montpellier Cedex 5, France.
  • Nolan RH; CSIRO, Clayton South, Victoria, Australia.
  • Pellizzaro G; Hawkesbury Institute for the Environment, Western Sydney University, Sydney, NSW, Australia.
  • Qi Y; Istituto di Biometeorologia (Sassari) Consiglio Nazionale delle Ricerche (CNR-IBIMET), Sassari, Italy.
  • Quan X; University of Nebraska-Lincoln, Lincoln, Nebraska, USA.
  • Riaño D; School of Resources and Environment, University of Electronic Science and Technology of China, Sichuan, China.
  • Roberts D; Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab), Spanish National Research Council (CSIC), Madrid, Spain.
  • Sow M; Center for Spatial Technologies and Remote Sensing, UC-Davis, Davis, USA.
  • Ustin S; Department of Geography, University of California, Santa Barbara, USA.
Sci Data ; 6(1): 155, 2019 08 21.
Article em En | MEDLINE | ID: mdl-31434899
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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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Folhas de Planta / Incêndios Florestais Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article
Texto completo
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XML
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Água / Folhas de Planta / Incêndios Florestais Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2019 Tipo de documento: Article