Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Using ecological niche models to support tree species selection for forest restoration planning in largely deforested regions
Year:2011
Research Areas
  • Afforestation,
  • Botany,
  • Plant ecology
Information
Abstract
Species selection for forest restoration is often supported by expert knowledge on local distribution patterns of native tree species. This approach is not applicable to largely deforested regions unless enough data on pre-human tree species distribution is available. In such regions, ecological niche models may provide essential information to support species selection in the framework of forest restoration planning. In this study we used ecological niche models to predict habitat suitability for native tree species in "Tierra de Campos" region, an almost totally deforested area of the Duero Basin (Spain). Previously available models provide habitat suitability predictions for dominant native tree species, but including non-dominant tree species in the forest restoration planning may be desirable to promote biodiversity, specially in largely deforested areas were near seed sources are not expected. We used the Forest Map of Spain as species occurrence data source to maximize the number of modeled tree species. Penalized logistic regression was used to train models using climate and lithological predictors. Using model predictions a set of tools were developed to support species selection in forest restoration planning. Model predictions were used to build ordered lists of suitable species for each cell of the study area. The suitable species lists were summarized drawing maps that showed the two most suitable species for each cell. Additionally, potential distribution maps of the suitable species for the study area were drawn. For a scenario with two dominant species, the models predicted a mixed forest (Quercus ilex and a coniferous tree species) for almost one half of the study area. According to the models, 22 non-dominant native tree species are suitable for the study area, with up to six suitable species per cell. The model predictions pointed to Crataegus monogyna, Juniperus communis, J.oxycedrus and J.phoenicea as the most suitable non-dominant native tree species in the study area. Our results encourage further use of ecological niche models for forest restoration planning in largely deforested regions.
International
Si
Congress
Restoring forests: advances in techniques and theory, IUFRO meeting
960
Place
Madrid, Spain
Reviewers
Si
ISBN/ISSN
000-00-0000-000-0
Start Date
27/09/2011
End Date
29/09/2011
From page
30
To page
30
Restoring forests: advances in techniques and theory: Abstract Book
Participants
  • Autor: Aitor Gaston Gonzalez (UPM)
  • Autor: Juan Ignacio Garcia Viñas (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ecología y Gestión Forestal Sostenible
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