prioriactions: Multi-action management planning in R

1. Designing effective conservation strategies requires deciding not only where to lo-cate conservation actions (i.e. which territorial units should be priortized), but alsowhich type actions should be deployed. For most of conservation planning con-texts, deciding where and what to do usually yield...

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Autores: Salgado-Rojas, José, Hermoso, Virgilio, Álvarez-Miranda, Eduardo
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2023
País:España
Institución:Universitat de Lleida (UdL)
Repositorio:Repositori Obert UdL
OAI Identifier:oai:repositori.udl.cat:10459.1/469463
Acceso en línea:https://doi.org/10.1111/2041-210X.14220
https://hdl.handle.net/10459.1/469463
Access Level:acceso abierto
Palabra clave:Biodiversity
Management
Mixed integer programming
Restoration
Spatial prioritization
Threats
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spelling prioriactions: Multi-action management planning in RSalgado-Rojas, JoséHermoso, VirgilioÁlvarez-Miranda, EduardoBiodiversityManagementMixed integer programmingRestorationSpatial prioritizationThreats1. Designing effective conservation strategies requires deciding not only where to lo-cate conservation actions (i.e. which territorial units should be priortized), but alsowhich type actions should be deployed. For most of conservation planning con-texts, deciding where and what to do usually yields a complex and computationallychallenging decision-making setting. Although the resulting optimization problemshave typically been tackled using heuristic approaches, recent advances in mixedinteger programming (MIP) solver technology have turned MIP-based approachesinto a practical alternative for solving complex conservation planning problems.2. We introduce the R package prioriactions, which allows solving complex conser-vation planning problems comprising prioritization and action deployment deci-sions. prioriactions features a MIP approach that allows formulating and solvingoptimally (or nearly optimally) a wide class of conservation planning problems(characterized by different spatial and functional constraints and requirements).Furthermore, the package allows using a variety of commercial and open-sourceexact solvers enhancing its usability as well as its practical effectiveness.3. Here, we present a comprehensive description of the main functions availablein prioriactions. This package has a workflow of three straightforward steps: (a)validation of the input data, using the inputData() function that prepares input;(b) the creation of a prioritization model, using the problem() function, allows thecreation of two types of common models: the minimization of costs to achieve arecovery target and maximizing the recovery benefits given a limited budget; and (c)to solve of the model, using the solve() function.4. The prioriactions package provides a user-friendly platform for addressing differentmulti-actions management problems, allowing to identify more rigorously, transpar-ently and in a reproducible way the spatial deployment of management actions.Consejería de Economía, Conocimiento, Empresas y Universidad, Junta de Andalucía, Grant/Award Number: EMERGIA20_00135; Fondo Nacionalde Desarrollo Científico y Tecnológico,Grant/Award Number: FONDECYTN.1220830, PIA/APOYO AFB220003,ANID/BASAL FB210006, MSCA-RISEN. 10100795 and doctoral scholarship(program 2019-7220038)British Ecological Society2023info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.1111/2041-210X.14220https://hdl.handle.net/10459.1/469463reponame:Repositori Obert UdL instname:Universitat de Lleida (UdL)InglésReproducció del document publicat a https://doi.org/10.1111/2041-210X.14220Methods in Ecology and Evolution, 2023, vol. 16, núm. 6, p. 1028-103910100795© 2023 The AuthorsAttribution-NonCommercial-NoDerivatives 4.0 Internationalinfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/oai:repositori.udl.cat:10459.1/4694632026-06-24T12:42:17Z
dc.title.none.fl_str_mv prioriactions: Multi-action management planning in R
title prioriactions: Multi-action management planning in R
spellingShingle prioriactions: Multi-action management planning in R
Salgado-Rojas, José
Biodiversity
Management
Mixed integer programming
Restoration
Spatial prioritization
Threats
title_short prioriactions: Multi-action management planning in R
title_full prioriactions: Multi-action management planning in R
title_fullStr prioriactions: Multi-action management planning in R
title_full_unstemmed prioriactions: Multi-action management planning in R
title_sort prioriactions: Multi-action management planning in R
dc.creator.none.fl_str_mv Salgado-Rojas, José
Hermoso, Virgilio
Álvarez-Miranda, Eduardo
author Salgado-Rojas, José
author_facet Salgado-Rojas, José
Hermoso, Virgilio
Álvarez-Miranda, Eduardo
author_role author
author2 Hermoso, Virgilio
Álvarez-Miranda, Eduardo
author2_role author
author
dc.subject.none.fl_str_mv Biodiversity
Management
Mixed integer programming
Restoration
Spatial prioritization
Threats
topic Biodiversity
Management
Mixed integer programming
Restoration
Spatial prioritization
Threats
description 1. Designing effective conservation strategies requires deciding not only where to lo-cate conservation actions (i.e. which territorial units should be priortized), but alsowhich type actions should be deployed. For most of conservation planning con-texts, deciding where and what to do usually yields a complex and computationallychallenging decision-making setting. Although the resulting optimization problemshave typically been tackled using heuristic approaches, recent advances in mixedinteger programming (MIP) solver technology have turned MIP-based approachesinto a practical alternative for solving complex conservation planning problems.2. We introduce the R package prioriactions, which allows solving complex conser-vation planning problems comprising prioritization and action deployment deci-sions. prioriactions features a MIP approach that allows formulating and solvingoptimally (or nearly optimally) a wide class of conservation planning problems(characterized by different spatial and functional constraints and requirements).Furthermore, the package allows using a variety of commercial and open-sourceexact solvers enhancing its usability as well as its practical effectiveness.3. Here, we present a comprehensive description of the main functions availablein prioriactions. This package has a workflow of three straightforward steps: (a)validation of the input data, using the inputData() function that prepares input;(b) the creation of a prioritization model, using the problem() function, allows thecreation of two types of common models: the minimization of costs to achieve arecovery target and maximizing the recovery benefits given a limited budget; and (c)to solve of the model, using the solve() function.4. The prioriactions package provides a user-friendly platform for addressing differentmulti-actions management problems, allowing to identify more rigorously, transpar-ently and in a reproducible way the spatial deployment of management actions.
publishDate 2023
dc.date.none.fl_str_mv 2023
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://doi.org/10.1111/2041-210X.14220
https://hdl.handle.net/10459.1/469463
url https://doi.org/10.1111/2041-210X.14220
https://hdl.handle.net/10459.1/469463
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv Reproducció del document publicat a https://doi.org/10.1111/2041-210X.14220
Methods in Ecology and Evolution, 2023, vol. 16, núm. 6, p. 1028-1039
10100795
dc.rights.none.fl_str_mv © 2023 The Authors
Attribution-NonCommercial-NoDerivatives 4.0 International
info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
rights_invalid_str_mv © 2023 The Authors
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv British Ecological Society
publisher.none.fl_str_mv British Ecological Society
dc.source.none.fl_str_mv reponame:Repositori Obert UdL
instname:Universitat de Lleida (UdL)
instname_str Universitat de Lleida (UdL)
reponame_str Repositori Obert UdL
collection Repositori Obert UdL
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.811543

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