An integer programming method for the design of multi-criteria multi-action conservation plans
Author
dc.contributor.author
Álvarez Miranda, Eduardo
Author
dc.contributor.author
Salgado Rojas, Jose
Author
dc.contributor.author
Hermoso, Virgilio
Author
dc.contributor.author
García-Gonzalo, Jordi
Author
dc.contributor.author
Weintraub Pohorille, Andrés
Admission date
dc.date.accessioned
2020-05-13T23:05:59Z
Available date
dc.date.available
2020-05-13T23:05:59Z
Publication date
dc.date.issued
2020
Cita de ítem
dc.identifier.citation
Omega 92 (2020) 102147
es_ES
Identifier
dc.identifier.other
10.1016/j.omega.2019.102147
Identifier
dc.identifier.uri
https://repositorio.uchile.cl/handle/2250/174714
Abstract
dc.description.abstract
The design of conservation management plans is a crucial task for ensuring the preservation of ecosys- tems. A conservation plan is typically embodied by two types of decisions: in which areas of a given territory it will be implemented, and how actions against threats will be deployed across these areas. These decisions are usually guided by the resulting ecological benefit, their spatial effectiveness, and their implementation cost. In this paper, we propose a multi-criteria optimization framework, for modeling and solving a mixed integer programming characterization of a multi-action and multi-species conservation management de- sign problem. The optimization tool seeks for a management plan that maximizes ecological benefit and minimizes spatial fragmentation, simultaneously, while ensuring an implementation cost no greater than a given budget. For showing the effectiveness of the methodology, we consider a case study corresponding to a por- tion of the Mitchell river catchment, located in northern Australia, where 31 freshwater fish species are affected by four threats. The attained results show how the methodology exploits the trade-offs among the ecological, spatial and cost criteria, enabling decision-makers to explore and analyze a broad range of conservation plans. Selecting conservation plans in a more informed way allows to obtain the best outcomes from a strategic and operational point of view.
es_ES
Patrocinador
dc.description.sponsorship
National Commission for Scientific and Technological Research CONICYT, Chile, through the grant FONDECYT
1180670
1191531
National Commission for Scientific and Technological Research CONICYT, Chile, through the Complex Engineering Systems Institute
PIA/BASAL AFB180003
European Union (EU)
691149
MINECO
RYC-2013-14262
RYC-2013-13979
CERCA Programme/Generalitat de Catalunya