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Your search keyword '"María Eugenia Beget"' showing total 4 results
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4 results on '"María Eugenia Beget"'

1. Globe-LFMC 2.0, an enhanced and updated dataset for live fuel moisture content research

Author

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, and Nicolas Younes Cardenas

Subjects
Science
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.

Published
2024
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2. Changes in vegetation seasonality and livestock stocking rate in La Pampa Province (Argentina)

Author

Carlos Marcelo Di Bella, María Eugenia Beget, Alfredo Nicolás Campos, Ernesto Viglizzo, Esteban Jobbágy, Alfredo Gabriel García, Alejandra Sycz, and Santiago Cotroneo

Subjects
MODIS, EVI, vegetation indices, shrub proportion, Agriculture, Food processing and manufacture, TP368-456
Abstract

Crop production is traversing expansion and intensification processes all over the planet and in consequence the large scale cattle production is being displaced to marginal lands with lower stocking capacity. The objective of this work was to assess the seasonality of vegetation in La Pampa province located in a semiarid region in Argentina and to explore if the variations in seasonality are related to the stocking rate. The hypothesis is the changes in stocking rate of rangelands and its grazing pressure alter the proportion of different vegetation functional groups and so the vegetation seasonality. It is predicted that overgrazing of seasonal grasses will alter the proportion of woody species having consequences over spectral indices. It was analyzed satellite data, particularly the MODIS Enhanced Vegetation Index (EVI) and related it to stocking rate records from SENASA. This work evidences the relationship between the stocking rate and the spectral index EVI, indicator of the primary productivity of vegetation, at departmental scale in the natural areas of Monte and Espinal of La Pampa. Results indicate that in western region (Monte) there was an increment in the stocking rate at department level and a decrease in vegetation seasonality. It is posed that the higher grazing pressure led to the overgrazing of the most palatable herbaceous species, increasing the shrub proportion in landscape.

Published
2019

4. Cambios en la estacionalidad de la vegetación y la carga animal en la provincia de La Pampa (Argentina)

Author

Carlos Marcelo Di Bella, María Eugenia Beget, Alfredo Nicolás Campos, Ernesto Viglizzo, Esteban Jobbágy, Alfredo Gabriel García, Alejandra Sycz, and Santiago Cotroneo

Subjects
shrub proportion, lcsh:TP368-456, arbustización, lcsh:S, Agriculture, VEGETATION INDICES, EVI, TP368-456, Food processing and manufacture, lcsh:Agriculture, sensores remotos, lcsh:Food processing and manufacture, INDICES ESPECTRALES, MODIS, SHRUB PROPORTION, vegetation indices, purl.org/becyt/ford/4.1 [https], Proporción de arbustos, PROPORCION DE ARBUSTOS, purl.org/becyt/ford/4 [https]
Abstract

La producción de cultivos está atravesando procesos de expansión e intensificación alrededor de todo el planeta. En consecuencia, la producción ganadera está siendo desplazada hacia tierras marginales de menor capacidad de carga. El objetivo de este trabajo es evaluar la estacionalidad de la vegetación en la provincia de La Pampa, ubicada en la región semiárida argentina; y explorar si las variaciones en la estacionalidad están relacionadas con la carga de ganado vacuno. Se plantea como hipótesis que los cambios en la carga animal y la presión de pastoreo alteran la proporción de diferentes grupos funcionales de vegetación, y de esta manera, su estacionalidad. Se predice que el sobrepastoreo de los pastos más estacionales alterará la proporción de especies leñosas, y ello repercutirá sobre los índices espectrales. Se analizó la información satelital, particularmente el Índice de Vegetación Mejorado (EVI) de MODIS y se lo relacionó con los registros de carga animal de SENASA. Este trabajo evidencia la relación entre la carga animal y el EVI, indicador de la productividad primaria de la vegetación, a la escala de departamento en las áreas naturales del Monte y el Espinal de La Pampa. Los resultados indican que al oeste de la provincia (Monte) hubo un aumento de la carga animal y una disminución de la estacionalidad de la vegetación a escala de departamento. La mayor presión de pastoreo habría conducido al sobrepastoreo de las especies herbáceas más palatables aumentando la proporción de arbustos en el paisaje. Crop production is traversing expansion and intensification processes all over theplanet and in consequence the large scale cattle production is being displaced to marginallands with lower stocking capacity. The objective of this work was to assess the seasonalityof vegetation in La Pampa province located in a semiarid region in Argentina and toexplore if the variations in seasonality are related to the stocking rate. The hypothesis isthe changes in stocking rate of rangelands and its grazing pressure alter the proportionof different vegetation functional groups and so the vegetation seasonality. It is predictedthat overgrazing of seasonal grasses will alter the proportion of woody species havingconsequences over spectral indices. It was analyzed satellite data, particularly the MODISEnhanced Vegetation Index (EVI) and related it to stocking rate records from SENASA.This work evidences the relationship between the stocking rate and the spectral indexEVI, indicator of the primary productivity of vegetation, at departmental scale in thenatural areas of Monte and Espinal of La Pampa. Results indicate that in western region(Monte) there was an increment in the stocking rate at department level and a decrease invegetation seasonality. It is posed that the higher grazing pressure led to the overgrazingof the most palatable herbaceous species, increasing the shrub proportion in landscape. Fil: Di Bella, Carlos Marcelo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina. Universidad de Buenos Aires. Facultad de Agronomía; Argentina Fil: Beget, María Eugenia. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Campos, Alfredo Nicolás. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina. Universidad Tecnológica Nacional. Facultad Regional Buenos Aires; Argentina Fil: Viglizzo, Ernesto Francisco. Instituto Nacional de Tecnología Agropecuaria. Centro Regional La Pampa-San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Jobbagy Gampel, Esteban Gabriel. Universidad Nacional de San Luis; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: García, Alfredo Gabriel. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Sycz, Alejandra. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina Fil: Cotroneo, Santiago Miguel. Instituto Nacional de Tecnología Agropecuaria. Centro de Investigación de Recursos Naturales. Instituto de Clima y Agua; Argentina

Published
2019

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