4.7 Article

A decision support system for territorial resilience assessment and planning: An application to the Douro Valley (Portugal)

Journal

SCIENCE OF THE TOTAL ENVIRONMENT
Volume 756, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.scitotenv.2020.143806

Keywords

Territorial resilience; Multicriteria decision analysis; Mathematical modelling; Spatial mapping

Funding

  1. Portuguese Funds FCT [UIDB/00013/2020, UIDP/00013/2020]

Ask authors/readers for more resources

This paper introduces an integrated evaluation framework to assess the territorial resilience of a socio-ecological system, combining resilience indicators and a mathematical model. The framework is applied to the Douro Valley wine region in Portugal, demonstrating its suitability for landscape and urban planning.
This paper aims to assess the territorial resilience of a socio-ecological system through an innovative integrated evaluation framework to aid the decision-making process in the planning of transformation scenarios. This framework employs a set of resilience indicators through a Multicriteria Decision Analysis (MCDA) coupled with a Lotka-Volterra mathematical model of cooperative type. The set of indicators aims to calculate a composite index of Tern tonal Resilience (TRI), whereas the mathematical model is an extension of an existing model, aimed to predict possible long-time scenarios. The proposed operational framework for rural and vineyard landscapes aims to bridge the existing gap between territorial resilience theory and practice, with an innovative Decision Support System able to assist Decision Makers and territory planners in the planning and management of resilient territorial systems. This integrated evaluation framework is applied to a famous wine region in Portugal, the Douro Valley, where Port-wine grows. Such framework, espedally in a context of adaptive governance, proves to be a suitable support in the field of landscape and urban planning to evaluate the dynamics of sow-ecological systems and to envision long-term policies and actions. (C) 2020 Published by Elsevier B.V.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available