M
Marta Benito Garzón
Researcher at University of Bordeaux
Publications - 35
Citations - 1457
Marta Benito Garzón is an academic researcher from University of Bordeaux. The author has contributed to research in topics: Population & Local adaptation. The author has an hindex of 12, co-authored 30 publications receiving 1151 citations. Previous affiliations of Marta Benito Garzón include Autonomous University of Madrid & Center for International Forestry Research.
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Intra-specific variability and plasticity influence potential tree species distributions under climate change
Marta Benito Garzón,Marta Benito Garzón,Ricardo Alía,T. Matthew Robson,T. Matthew Robson,Miguel A. Zavala,Miguel A. Zavala +6 more
TL;DR: The results indicate that the incorporation of intra-population genetic diversity and phenotypic plasticity in SDMs significantly altered their outcome and reaffirm the importance of considering adaptive traits when predicting species distributions and avoiding the use of occurrence data as a predictive variable.
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Effects of climate change on the distribution of Iberian tree species
TL;DR: In this article, the authors modelled current and future tree distributions as a function of climate, using a computational framework that made use of one machine learning technique, the random forest (RF) algorithm.
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Predicting habitat suitability with machine learning models: The potential area of Pinus sylvestris L. in the Iberian Peninsula
Marta Benito Garzón,Radim Blazek,Markus Neteler,Rut Sánchez de Dios,Helios Sáinz Ollero,Cesare Furlanello +5 more
TL;DR: The most accurate algorithm is Breiman's random forest, an ensemble method which provides automatic combination of tree-classifiers trained on bootstrapped subsamples and randomised variable sets, which shows a potential area of P. sylvestris for the Iberian Peninsula which is larger than the present one.
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ΔTraitSDMs: species distribution models that account for local adaptation and phenotypic plasticity
TL;DR: Overall, ΔTraitSDM predictions generally deliver a less alarming message than previous models of species distribution under new climates, indicating that phenotypic plasticity should help, to a considerable degree, some plant populations to persist under climate change.
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Predictive modelling of tree species distributions on the Iberian Peninsula during the Last Glacial Maximum and Mid‐Holocene
TL;DR: In this paper, a bioclimatic envelope model was used to study the potential distribution of 19 tree species in the Iberian Peninsula during the Last Glacial Maximum (LGM; 21,000 yr BP) and the Mid-Holocene (6000 yr BP).