Repository logo
 
Loading...
Thumbnail Image
Publication

Assessing forest species biogeophysical suitability by spatial multicriteria analysis: a study case for the Centro region of Portugal.

Use this identifier to reference this record.
Name:Description:Size:Format: 
HAICTA_2017_paper_97.pdf969.22 KBAdobe PDF Download

Advisor(s)

Abstract(s)

It is generally agreed that the choice of the most suitable uses based in soil and climatic factors, complemented with socio-economic criteria, promotes sustainable use of rural land. There are, however, different methodologies for defining soil suitability to agroforestal systems or natural and seminatural ecosystems, including agricultural uses, forest plantations, agroforestry areas and priority areas for conservation. Many of these methods rely on decision support systems based on multicriteria spatial analysis. In this study it was intended to determine the different levels of suitability for the most representative forest species in the central region of Portugal. For that purpose a set of climatic, soil and topographic variables based in a geographic information system, soil and biogeographic mapping were used. A stochastic approach was undertaken in order to estimate several bioclimatic indices and the associated spatial uncertainty. Results were duly discussed and addressed in this framework. In the end, forest species suitability evaluation was performed using the Analytic Hierarchy Process (AHP), methodology that allows the exploitation of natural fitness of the territory, contributing to a reflection on the adequacy of current and future occupations face the carrying capacity of the environment. The use of this methodology will be important as a supporting tool to public administration agents that work in forestry planning and management.

Description

Keywords

Suitability Forest management GIS AHP

Pedagogical Context

Citation

ROQUE, N. {et al.] (2017) - Assessing forest species biogeophysical suitability by spatial multicriteria analysis: a study case for the Centro region of Portugal. In International Conference on Information and Communication Technologies in Agriculture, Food & Environment, 8, Chania, Greece, September 2017..

Research Projects

Organizational Units

Journal Issue