Multiobjective programming methods in the reserve selection problem

TL;DR: A survey of the literature on multiple criteria decision-making applications to forestry problems undertaken in the last 30 years or so is provided, aiming to reach some conclusions, as well as indicate future trends in this line of research.

TL;DR: The Robust Portfolio Modeling methodology is developed, which extends Preference Programming methods into portfolio problems where a subset of project proposals are funded in view of multiple evaluation criteria, and a project-level index is proposed to convey which projects are robust choices and how continued activities in preference elicitation should be focused.

TL;DR: An argument is made for the development of models that capture the dynamic interdependencies among sites and species populations and thus incorporate the reasons why spatial attributes are important.

TL;DR: In this article, a two-stage protocol for the design of conservation area networks which allows multiple constraint synchronization is described, where during the first stage areas are selected to represent components of biodiversity up to speci- fied targets as economically as possible.

TL;DR: In this paper, the authors examined the extent to which species-rich areas for different taxa coincide and whether rare species occur in, and therefore benefit from the conservation of, species rich habitats.

TL;DR: Given a set of utility functions defined on a decision space for a group of individuals, the concept of utopia point for the group as well as the group regret of a feasible decision is introduced.

TL;DR: Some basic principles for conservation planning are emerging from recent systematic procedures for reserve selection, and these principles will help to link intention and practice.