A Model to Minimize Costs and Promote Species Persistence under Climate Change

dc.contributor.authorAlagador, Diogo
dc.contributor.authorCerdeira, Jorge O.
dc.contributor.editorPóvoa, Ana P.
dc.contributor.editorMiranda, João L.
dc.date.accessioned2020-08-10T14:43:44Z
dc.date.available2020-08-10T14:43:44Z
dc.date.issued2015-10-08
dc.description.abstractBiodiversity is severely threatened by the effects of changing climates that cause species to readjust their spatial ranges. But species are limited in their capacity to follow suitable climates, as these rearrange in space along time. Therefore, the identification of the areas to support spatial readjustments of species is a pivotal step that should be made thoroughly given the limited budgets available. We propose a two-stage mixed integer linear programming to formalize this issue, present a heuristic and report results comparing optimal and heuristic solutions.por
dc.identifier.authoremailalagador@uevora.pt
dc.identifier.authoremailnd
dc.identifier.doi10.1007/978-3-319-24154-8_1por
dc.identifier.scientificarea221por
dc.identifier.urihttps://link.springer.com/chapter/10.1007/978-3-319-24154-8_1
dc.identifier.urihttp://hdl.handle.net/10174/28017
dc.language.isoengpor
dc.publisherSpringerpor
dc.rightsrestrictedAccesspor
dc.subjectMixed Integer Linear Programmingpor
dc.subjectGreedy Randomized Adaptive Search Procedurepor
dc.subjectHeuristic Solutionpor
dc.subjectSuitable Climatepor
dc.subjectExtra nodepor
dc.titleA Model to Minimize Costs and Promote Species Persistence under Climate Changepor
dc.typebookPartpor
degois.publication.firstPage1por
degois.publication.lastPage8por
degois.publication.titleOperations Research and Big Data - Studies in Big Datapor
degois.publication.volume15por

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