Elena Moreno-Amat

Elena Moreno-Amat
Universidad de Valladolid | UVA · Departamento de Ciencias Agroforestales

Forest Engineer, PhD

About

15
Publications
8,777
Reads
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555
Citations
Citations since 2017
9 Research Items
499 Citations
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2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120
2017201820192020202120222023020406080100120

Publications

Publications (15)
Article
Full-text available
Maximum entropy modeling (Maxent) is a widely used algorithm for predicting species distributions across space and time. Properly assessing the uncertainty in such predictions is non-trivial and requires validation with independent datasets. Notably, model complexity (number of model parameters) remains a major concern in relation to overfitting an...
Article
Full-text available
This study describes new macroremains of Pinus nigra found in a marsh deposit and two travertines. These fossils enhance our understanding of the past distribution of microthermal pines in Spain. Seventeen sub-fossil trunks and 88 pinecone remains and casts discovered at Tubilla del Lago (Province of Burgos, Spain), Tubilla del Agua (Province of Bu...
Book
Full-text available
COORDINACIÓN José S. Carrión EQUIPO EDITORIAL José S. Carrión, Manuel Munuera, Juan Ochando, Manuel Casas-Gallego Secretaria Técnica y Maquetación Maximiliano Gómez Rodríguez, Santiago Fernández, Manuel Munuera Trabajo artístico y gráfico Gabriela Amorós, Victoria Sánchez-Giner, Ariadna Amorós, Manuel Munuera, Manuel Fernández-Díaz, Pedro Pablo...
Article
Full-text available
A detailed analysis of distribution shifts in Pinus hartwegii Lindl. is provided across time for Izta-Popo National Park (México). Combining satellite images, species distribution models, and connectivity analysis we disentangled the effect of climate change and anthropogenic land use on the habitat availability. Twenty-four Maxent habitat suitabil...
Article
Full-text available
Predictive models are central to many scientific disciplines and vital for informing management in a rapidly changing world. However, limited understanding of the accuracy and precision of models transferred to novel conditions (their ‘transferability’) undermines confidence in their predictions. Here, 50 experts identified priority knowledge gaps...
Article
The increasing development of species distribution models (SDMs) using palaeodata has created new prospects to address questions of evolution, ecology and biogeography from wider perspectives. Palaeobotanical data provide information on the past distribution of taxa at a given time and place and its incorporation on modelling has contributed to adv...
Article
El objetivo del trabajo es dar a conocer el estado actual de conocimientos científicos sobre el pasado del paisaje vegetal (Cuaternario final) en los territorios interiores no montanos de la depresión del Duero. Se recogen todos los yacimientos cuyo estudio ya ha concluido así como los que se encuentran en fase de investigación o prospección. Se pr...
Article
Se presentan los resultados de los estudios de macrorrestos e impresiones vegetales hallados en dos localidades de la submeseta norte de la Península Ibérica. Los troncos y piñas subfósiles extraídos en las obras de la turbera de Tubilla del Lago (Burgos), así como el molde de piña encontrado en los travertinos de Tubilla del Agua (Burgos), han sid...

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Projects

Project (1)
Archived project
The ultimate goal of the project is to generate models of potential distribution, with the highest quality and reliability possible, throughout the African continent, so that they can be used in practical projects of planting the species. The aim is to collaborate with the management projects of the Balanites aegyptiaca species in the African continent, especially with the NGO Acción contra el Hambre, in Mali and Mauritania, and with INIA, in its project ACGVELA in Niger. For this, a series of specific objectives have been considered: 1) Obtaining the distribution map of the species in the present from real presences. 2) Ecological characterization of the species in Africa. 3) Obtaining maps of current and future suitability in Africa. 4) Obtaining maps of current suitability for countries of Niger, Mali and Mauritania.