**Modelling Current and Future Potential Habitats for Plantations of** *Eucalyptus grandis* **Hill ex Maiden and** *E. dunnii* **Maiden in Uruguay**

**Fernando Resquin 1,\*,**† **, Joaquín Duque-Lazo 2,**† **, Cristina Acosta-Muñoz 2, Cecilia Rachid-Casnati <sup>1</sup> , Leonidas Carrasco-Letelier <sup>3</sup> and Rafael M. Navarro-Cerrillo <sup>2</sup>**


Received: 6 July 2020; Accepted: 24 August 2020; Published: 29 August 2020

**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 differences 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 different climate change scenarios (years 2050 and 2070). The distribution of *E. grandis* was associated with soil parameters, whereas for *E. dunnii* a greater effect 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.

**Keywords:** *Eucalyptus*; biomod2; species distribution models; habitat; climatic change
