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Globe-LFMC, a global plant water status database for vegetation ecophysiology and wildfire applications
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 indivi...
| Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704185/ https://www.ncbi.nlm.nih.gov/pubmed/31434899 http://dx.doi.org/10.1038/s41597-019-0164-9 |
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| author | 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 |
| author_facet | 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 |
| author_sort | Yebra, Marta |
| collection | PubMed |
| 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. |
| format | Online Article Text |
| id | pubmed-6704185 |
| institution | National Center for Biotechnology Information |
| language | English |
| publishDate | 2019 |
| publisher | Nature Publishing Group UK |
| record_format | MEDLINE/PubMed |
| spelling | pubmed-67041852019-08-26 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 Sci Data Data Descriptor 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. Nature Publishing Group UK 2019-08-21 /pmc/articles/PMC6704185/ /pubmed/31434899 http://dx.doi.org/10.1038/s41597-019-0164-9 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
| spellingShingle | Data Descriptor 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 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 |
| 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_short | 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 |
| topic | Data Descriptor |
| url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6704185/ https://www.ncbi.nlm.nih.gov/pubmed/31434899 http://dx.doi.org/10.1038/s41597-019-0164-9 |
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