Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications
- Autores
- Yebra, Marta; Scortechini, Gianluca; Badi, Abdulbaset; Beget, Maria Eugenia; Boer, Mathias; Bradstock, Ross; Chuvieco, Emilio; Mark Danson, F.; Dennison, Philip; Resco de Dios, Víctor; Di Bella, Carlos Marcelo; Forsyth, Greg; Frost, Philip; García, Mariano; Hamdi, Abdelaziz; He, Bimbin; Jolly, Matt; Kraaij, Tineke; Martin, M. Pilar; Mouillot, Florent; Newnham, Glenn; Nolan, Rachae; Pellizzaro, Grazia; Qi, Yi; Quan, Xingwen; Riaño, David; Roberts, Dar; Sow, Momadou; Ustin, Susan
- Año de publicación
- 2019
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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.
Fil: Yebra, Marta. Australian National University. Fenner School of Environment & Society; Australia
Fil: Scortechini, Gianluca. Australian National University. Fenner School of Environment & Society; Australia
Fil: Badi, Abdulbaset. University of Salford. School of Environment and Life Sciences; Reino Unido
Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina
Fil: Boer, Matthias M. Western Sydney University. Hawkesbury Institute for the Environment; Australia
Fil: Bradstock, Ross. University of Wollongong; Australia
Fil: Chuvieco, Emilio. Universidad de Alcala. Department of Geology, Geography and the Environment; España
Fil: Mark, Danson. University of Salford. School of Environment and Life Sciences; Reino Unido
Fil: Dennison, Philip. University of Utah. Department of Geography; Estados Unidos
Fil: Resco de Dios, Víctor. Universitat de Lleida; España
Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Forsyth, Greg. CSIR-NRE; Sudáfrica
Fil: Frost, Philip. CSIR. Meraka Institute; Sudáfrica
Fil: García, Mariano. Universidad de Alcala. Department of Geology, Geography and the Environment; España
Fil: Hamdi, Abdelaziz. Institut Sylvo Pastoral de Tabarka. Laboratoire des Ressources Sylvo-Pastorales; Tunez
Fil: He, Bimbin. University of Electronic Science and Technology of China. School of Resources and Environment; China
Fil: Jolly, Matt. United States Forest Service. Rocky Mountain Research Station. Fire Sciences Laboratory; Estados Unidos
Fil: Kraaij, Tineke. Nelson Mandela University, School of Natural Resource Management; Sudáfrica
Fil: Martin, M. Pilar. Consejo Superior de Investigación Científica (CSIC). Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab); España
Fil: Mouillot, Florent. UMR CEFE, CNRS, Université de Montpellier-Université Paul Valery Montpellier, EPHE, IRD; Francia
Fil: Newnham, Glenn. CSIRO; Australia
Fil: Nolan, Rachae. Western Sydney University. Hawkesbury Institute for the Environment; Australia
Fil: Pellizzaro, Grazia. Consiglio Nazionale delle Ricerche (CNR-IBIMET). Istituto di Biometeorologia (Sassari); Italia
Fil: Qi, Yi. University of Nebraska-Lincoln; Estados Unidos
Fil: Quan, Xingwen. University of Electronic Science and Technology of China. School of Resources and Environment; China
Fil: Riaño, David. Consejo Superior de Investigación Científica (CSIC). Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab); España
Fil: Roberts, Dar. University of California. Department of Geography; Estados Unidos
Fil: Sow, Momadou. Université Cheikh Anta Diop de Dakar. Faculté des Sciences et Techniques. Institut des Sciences de l’Environnement (ISE); Senegal
Fil: Ustin, Susan. University of California-Davis. Center for Spatial Technologies and Remote Sensing; Estados Unidos - Fuente
- Scientific Data 6 (155) 1-8 (August 2019)
- Materia
-
Databases
Remote Sensing
Plant Water Relations
Bases de datos
Teledetección
Relaciones Planta Agua
Plant Water Status
Estado del Agua de la Planta - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- http://creativecommons.org/licenses/by-nc-sa/4.0/
- Repositorio
.jpg)
- Institución
- Instituto Nacional de Tecnología Agropecuaria
- OAI Identificador
- oai:localhost:20.500.12123/6469
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Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applicationsYebra, MartaScortechini, GianlucaBadi, AbdulbasetBeget, Maria EugeniaBoer, MathiasBradstock, RossChuvieco, EmilioMark Danson, F.Dennison, PhilipResco de Dios, VíctorDi Bella, Carlos MarceloForsyth, GregFrost, PhilipGarcía, MarianoHamdi, AbdelazizHe, BimbinJolly, MattKraaij, TinekeMartin, M. PilarMouillot, FlorentNewnham, GlennNolan, RachaePellizzaro, GraziaQi, YiQuan, XingwenRiaño, DavidRoberts, DarSow, MomadouUstin, SusanDatabasesRemote SensingPlant Water RelationsBases de datosTeledetecciónRelaciones Planta AguaPlant Water StatusEstado del Agua de la PlantaGlobe-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.Fil: Yebra, Marta. Australian National University. Fenner School of Environment & Society; AustraliaFil: Scortechini, Gianluca. Australian National University. Fenner School of Environment & Society; AustraliaFil: Badi, Abdulbaset. University of Salford. School of Environment and Life Sciences; Reino UnidoFil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; ArgentinaFil: Boer, Matthias M. Western Sydney University. Hawkesbury Institute for the Environment; AustraliaFil: Bradstock, Ross. University of Wollongong; AustraliaFil: Chuvieco, Emilio. Universidad de Alcala. Department of Geology, Geography and the Environment; EspañaFil: Mark, Danson. University of Salford. School of Environment and Life Sciences; Reino UnidoFil: Dennison, Philip. University of Utah. Department of Geography; Estados UnidosFil: Resco de Dios, Víctor. Universitat de Lleida; EspañaFil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; ArgentinaFil: Forsyth, Greg. CSIR-NRE; SudáfricaFil: Frost, Philip. CSIR. Meraka Institute; SudáfricaFil: García, Mariano. Universidad de Alcala. Department of Geology, Geography and the Environment; EspañaFil: Hamdi, Abdelaziz. Institut Sylvo Pastoral de Tabarka. Laboratoire des Ressources Sylvo-Pastorales; TunezFil: He, Bimbin. University of Electronic Science and Technology of China. School of Resources and Environment; ChinaFil: Jolly, Matt. United States Forest Service. Rocky Mountain Research Station. Fire Sciences Laboratory; Estados UnidosFil: Kraaij, Tineke. Nelson Mandela University, School of Natural Resource Management; SudáfricaFil: Martin, M. Pilar. Consejo Superior de Investigación Científica (CSIC). Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab); EspañaFil: Mouillot, Florent. UMR CEFE, CNRS, Université de Montpellier-Université Paul Valery Montpellier, EPHE, IRD; FranciaFil: Newnham, Glenn. CSIRO; AustraliaFil: Nolan, Rachae. Western Sydney University. Hawkesbury Institute for the Environment; AustraliaFil: Pellizzaro, Grazia. Consiglio Nazionale delle Ricerche (CNR-IBIMET). Istituto di Biometeorologia (Sassari); ItaliaFil: Qi, Yi. University of Nebraska-Lincoln; Estados UnidosFil: Quan, Xingwen. University of Electronic Science and Technology of China. School of Resources and Environment; ChinaFil: Riaño, David. Consejo Superior de Investigación Científica (CSIC). Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab); EspañaFil: Roberts, Dar. University of California. Department of Geography; Estados UnidosFil: Sow, Momadou. Université Cheikh Anta Diop de Dakar. Faculté des Sciences et Techniques. Institut des Sciences de l’Environnement (ISE); SenegalFil: Ustin, Susan. University of California-Davis. 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| dc.title.none.fl_str_mv |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications |
| title |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications |
| spellingShingle |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications Yebra, Marta Databases Remote Sensing Plant Water Relations Bases de datos Teledetección Relaciones Planta Agua Plant Water Status Estado del Agua de la Planta |
| title_short |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications |
| title_full |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications |
| title_fullStr |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications |
| title_full_unstemmed |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications |
| title_sort |
Globe - LFMC a global plant water status database for vegetation ecophysiology and wildfire applications |
| dc.creator.none.fl_str_mv |
Yebra, Marta Scortechini, Gianluca Badi, Abdulbaset Beget, Maria Eugenia Boer, Mathias Bradstock, Ross Chuvieco, Emilio Mark Danson, F. Dennison, Philip Resco de Dios, Víctor Di Bella, Carlos Marcelo Forsyth, Greg Frost, Philip García, Mariano Hamdi, Abdelaziz He, Bimbin Jolly, Matt Kraaij, Tineke Martin, M. Pilar Mouillot, Florent Newnham, Glenn Nolan, Rachae Pellizzaro, Grazia Qi, Yi Quan, Xingwen Riaño, David Roberts, Dar Sow, Momadou Ustin, Susan |
| author |
Yebra, Marta |
| author_facet |
Yebra, Marta Scortechini, Gianluca Badi, Abdulbaset Beget, Maria Eugenia Boer, Mathias Bradstock, Ross Chuvieco, Emilio Mark Danson, F. Dennison, Philip Resco de Dios, Víctor Di Bella, Carlos Marcelo Forsyth, Greg Frost, Philip García, Mariano Hamdi, Abdelaziz He, Bimbin Jolly, Matt Kraaij, Tineke Martin, M. Pilar Mouillot, Florent Newnham, Glenn Nolan, Rachae Pellizzaro, Grazia Qi, Yi Quan, Xingwen Riaño, David Roberts, Dar Sow, Momadou Ustin, Susan |
| author_role |
author |
| author2 |
Scortechini, Gianluca Badi, Abdulbaset Beget, Maria Eugenia Boer, Mathias Bradstock, Ross Chuvieco, Emilio Mark Danson, F. Dennison, Philip Resco de Dios, Víctor Di Bella, Carlos Marcelo Forsyth, Greg Frost, Philip García, Mariano Hamdi, Abdelaziz He, Bimbin Jolly, Matt Kraaij, Tineke Martin, M. Pilar Mouillot, Florent Newnham, Glenn Nolan, Rachae Pellizzaro, Grazia Qi, Yi Quan, Xingwen Riaño, David Roberts, Dar Sow, Momadou Ustin, Susan |
| author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author author author author author |
| dc.subject.none.fl_str_mv |
Databases Remote Sensing Plant Water Relations Bases de datos Teledetección Relaciones Planta Agua Plant Water Status Estado del Agua de la Planta |
| topic |
Databases Remote Sensing Plant Water Relations Bases de datos Teledetección Relaciones Planta Agua Plant Water Status Estado del Agua de la Planta |
| dc.description.none.fl_txt_mv |
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. Fil: Yebra, Marta. Australian National University. Fenner School of Environment & Society; Australia Fil: Scortechini, Gianluca. Australian National University. Fenner School of Environment & Society; Australia Fil: Badi, Abdulbaset. University of Salford. School of Environment and Life Sciences; Reino Unido Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina Fil: Boer, Matthias M. Western Sydney University. Hawkesbury Institute for the Environment; Australia Fil: Bradstock, Ross. University of Wollongong; Australia Fil: Chuvieco, Emilio. Universidad de Alcala. Department of Geology, Geography and the Environment; España Fil: Mark, Danson. University of Salford. School of Environment and Life Sciences; Reino Unido Fil: Dennison, Philip. University of Utah. Department of Geography; Estados Unidos Fil: Resco de Dios, Víctor. Universitat de Lleida; España Fil: Di Bella, Carlos Marcelo. Instituto Nacional de Tecnología Agropecuaria (INTA). Instituto de Clima y Agua; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Forsyth, Greg. CSIR-NRE; Sudáfrica Fil: Frost, Philip. CSIR. Meraka Institute; Sudáfrica Fil: García, Mariano. Universidad de Alcala. Department of Geology, Geography and the Environment; España Fil: Hamdi, Abdelaziz. Institut Sylvo Pastoral de Tabarka. Laboratoire des Ressources Sylvo-Pastorales; Tunez Fil: He, Bimbin. University of Electronic Science and Technology of China. School of Resources and Environment; China Fil: Jolly, Matt. United States Forest Service. Rocky Mountain Research Station. Fire Sciences Laboratory; Estados Unidos Fil: Kraaij, Tineke. Nelson Mandela University, School of Natural Resource Management; Sudáfrica Fil: Martin, M. Pilar. Consejo Superior de Investigación Científica (CSIC). Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab); España Fil: Mouillot, Florent. UMR CEFE, CNRS, Université de Montpellier-Université Paul Valery Montpellier, EPHE, IRD; Francia Fil: Newnham, Glenn. CSIRO; Australia Fil: Nolan, Rachae. Western Sydney University. Hawkesbury Institute for the Environment; Australia Fil: Pellizzaro, Grazia. Consiglio Nazionale delle Ricerche (CNR-IBIMET). Istituto di Biometeorologia (Sassari); Italia Fil: Qi, Yi. University of Nebraska-Lincoln; Estados Unidos Fil: Quan, Xingwen. University of Electronic Science and Technology of China. School of Resources and Environment; China Fil: Riaño, David. Consejo Superior de Investigación Científica (CSIC). Environmental Remote Sensing and Spectroscopy Laboratory (SpecLab); España Fil: Roberts, Dar. University of California. Department of Geography; Estados Unidos Fil: Sow, Momadou. Université Cheikh Anta Diop de Dakar. Faculté des Sciences et Techniques. Institut des Sciences de l’Environnement (ISE); Senegal Fil: Ustin, Susan. University of California-Davis. Center for Spatial Technologies and Remote Sensing; Estados Unidos |
| description |
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. |
| publishDate |
2019 |
| dc.date.none.fl_str_mv |
2019-12-06T14:55:56Z 2019-12-06T14:55:56Z 2019-08-21 |
| dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
| format |
article |
| status_str |
publishedVersion |
| dc.identifier.none.fl_str_mv |
http://hdl.handle.net/20.500.12123/6469 https://www.nature.com/articles/s41597-019-0164-9 2052-4463 https://doi.org/10.1038/s41597-019-0164-9 |
| url |
http://hdl.handle.net/20.500.12123/6469 https://www.nature.com/articles/s41597-019-0164-9 https://doi.org/10.1038/s41597-019-0164-9 |
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2052-4463 |
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eng |
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eng |
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info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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openAccess |
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http://creativecommons.org/licenses/by-nc-sa/4.0/ Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) |
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application/pdf |
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