Fecha/hora: 01/06/2024 06:44:56

Biblioteca(s): 	INIA Las Brujas; INIA Tacuarembó.	
Tipo de la producción científica: 	Artículos en Revistas Indexadas Internacionales	
Circulación/Nivel: 	Internacional - --	
Fecha corriente: 	01/09/2020	
Fecha de la última actualización: 	02/09/2020	
Autoria: 	RESQUÍN, F.; DUQUE-LAZO, J.; ACOSTA-MUÑÓZ, C.; RACHID, C.; CARRASCO-LETELIER, L.; NAVARRO-CERRILLO, R.M.	
Afiliación: 	JOSE FERNANDO RESQUIN PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOAQUÍN DUQUE-LAZO, E.T.S.I.A.M.-Dpto. de Ingeniería Forestal, Campus de Rabanales, Universidad de Córdoba, Córdoba, Spain; CRISTINA ACOSTA-MUÑÓZ, E.T.S.I.A.M.-Dpto. de Ingeniería Forestal, Campus de Rabanales, Universidad de Córdoba, Córdoba, Spain; ANA CECILIA RACHID CASNATI, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAFAEL M. NAVARRO-CERRILLO, E.T.S.I.A.M.-Dpto. de Ingeniería Forestal, Campus de Rabanales, Universidad de Córdoba, Córdoba, Spain.	
Título: 	Modelling Current and Future Potential Habitats for Plantations of Eucalyptus grandis Hill ex Maiden and E. dunnii Maiden in Uruguay.	
Año de publicación: 	2020	
Fuente/Imprenta: 	Forests, 2020, vol. 11, Issue 9, Article 948. OPEN ACCESS. Doi: https://doi.org/10.3390/f11090948	
ISSN: 	eISSN 1999-4907	
DOI: 	10.3390/f11090948	
Idioma: 	Inglés	
Notas: 	Article history: Received: 6 July 2020; Accepted: 24 August 2020; Published: 29 August 2020.
Supplementary material.
This article belongs to the Special Issue Modeling of Species Distribution and Biodiversity in Forests - https://www.mdpi.com/journal/forests/special_issues/Model_Species_Distribution_Biodiversity_Forest	
Contenido: 	ABSTRACT.
Eucalyptus grandis and E. dunnii have high productive potential in the South of Brazil, Uruguay, and central Argentina. This is based on the similarity of the climate and soil of these areas, which form an eco-region called Campos. However, previous results show that these species have dierences in their distribution caused by the prioritization of Uruguayan soils for forestry, explained by the particular conditions of each site. In this study, the site variables (climate, soil, and topography) that better explain the distribution of both species were identified, and prediction models of current and future distribution were adjusted for dierent climate change scenarios (years 2050 and 2070). The distribution of E. grandis was associated with soil parameters, whereas for E. dunnii a greater eect of the climatic variables was observed. The ensemble biomod2 model was the most precise with regard to predicting the habitat for both species with respect to the simple models evaluated. For E. dunnii, the average values of the AUC, Kappa, and TSS index were 0.98, 0.88, and 0.77, respectively. For E. grandis, their values were 0.97, 0.86, and 0.80, respectively. In the projections of climatic change, the distribution of E. grandis occurrence remains practically unchanged, even in the scenarios of temperature increase. However, current distribution of E. dunnii shows high susceptibility in a scenario of increased temperature, to the point that most of the area currently planted may be at risk. Our results might be useful to political government and foresters for decision making in terms of future planted areas.

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).	
Palabras-Clave: 	Biomod2; Climatic change; Habitat; Species distribution models.	
Thesagro: 	EUCALYPTUS.	
Categoría del tema: 	K01 Ciencias forestales - Aspectos generales	
URL: 	http://www.ainfo.inia.uy/digital/bitstream/item/14618/1/Resquin-2020.pdf
https://www.mdpi.com/1999-4907/11/9/948
https://www.mdpi.com/1999-4907/11/9/948/s1	
Registro original: 	INIA Las Brujas (LB)	
Ejemplares: 	LB - (102394-1) - PXI - AP - DD - PP/FORESTS/2020 -  -  - DIS
TBO - (103243-1) - PXI - AP - DD - PP/FORESTS/2020 -  -  - DIS