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

Globe - LFMC، قاعدة بيانات عالمية لحالة المياه النباتية لتطبيقات الفيزيولوجيا البيئية للنباتات وحرائق الغابات
Authors: Marta Yebra; Gianluca Scortechini; Abdulbaset Badi; María Eugenia Beget; Matthias M. Boer; Ross A. Bradstock; Emilio Chuvieco; +22 Authors

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

Abstract

AbstractGlobe-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.

Countries
Argentina, Italy, France, France, Spain, Australia, Italy, United States
Keywords

Data Descriptor, 550, Databases, Factual, Earth, Planet, fuelwood, Wildfires, Remote Sensing, Live fuel moisture content, Fuegos, moisture, Teledetección, Pathology, Psychology, Global and Planetary Change, Vegetation Monitoring, Ecology, Geography, Estado del Agua de la Planta, Natural Resources Management and Policy, Earth, Remote Sensing in Vegetation Monitoring and Phenology, Biological Sciences, Bases de datos, Plant Water Status, Computer Science Applications, FOS: Psychology, Physical Sciences, wildfires, Medicine, Global Vegetation Models, Statistics, Probability and Uncertainty, Other Environmental Sciences, Algorithms, Vegetation (pathology), Information Systems, Statistics and Probability, Physical geography, databases, Relaciones Planta Agua, Library and Information Sciences, Wildfire, Plant Water Relations, Education, Impact of Climate Change on Forest Wildfires, Databases, Natural Resources and Conservation, XXXXXX - Unknown, https://purl.org/becyt/ford/4.1, plant ecophysiology, https://purl.org/becyt/ford/4, Factual, 580, Vegetation, Global Forest Drought Response and Climate Change, Natural hazards, Water, Globe, [SDE.BE] Environmental Sciences/Biodiversity and Ecology, Plant Leaves, Protect, restore and promote sustainable use of terrestrial ecosystems, sustainably manage forests, combat desertification, and halt and reverse land degradation and halt biodiversity loss, FOS: Biological sciences, Remote Sensing Technology, Environmental Science, http://metadata.un.org/sdg/15, [SDE.BE]Environmental Sciences/Biodiversity and Ecology, Planet, Forest ecology, Environmental Sciences, Sensores remotos, Forecasting, Neuroscience

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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