CONTAIN: Optimising the long-term management of invasive alien species using adaptive management
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , , , , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.3897/NEOBIOTA.59.52022 http://hdl.handle.net/11449/199293 |
Resumo: | Invasive Alien Species (IAS) threaten biodiversity, ecosystem functions and services, modify landscapes and impose costs to national economies. Management efforts are underway globally to reduce these impacts, but little attention has been paid to optimising the use of the scarce available resources when IAS are impossible to eradicate, and therefore population reduction and containment of their advance are the only feasible solutions. CONTAIN, a three-year multinational project involving partners from Argentina, Brazil, Chile and the UK, started in 2019. It develops and tests, via case study examples, a decision-making toolbox for managing different problematic IAS over large spatial extents. Given that vast areas are invaded, spatial prioritisation of management is necessary, often based on sparse data. In turn, these characteristics imply the need to make the best decisions possible under likely heavy uncertainty. Our decision-support toolbox will integrate the following components: (i) the relevant environmental, social, cultural, and economic impacts, including their spatial distribution; (ii) the spatio-temporal dynamics of the target IAS (focusing on dispersal and population recovery); (iii) the relationship between the abundance of the IAS and its impacts; (iv) economic methods to estimate both benefits and costs to inform the spatial prioritisation of costeffective interventions. To ensure that our approach is relevant for different contexts in Latin America, we are working with model species having contrasting modes of dispersal, which have large environmental and/or economic impacts, and for which data already exist (invasive pines, privet, wasps, and American mink). We will also model plausible scenarios for data-poor pine and grass species, which impact local people in Argentina, Brazil and Chile. We seek the most effective strategic management actions supported by empirical data on the species' population dynamics and dispersal that underpin reinvasion, and on intervention costs in a spatial context. Our toolbox serves to identify key uncertainties driving the systems, and especially to highlight gaps where new data would most effectively reduce uncertainty on the best course of action. The problems we are tackling are complex, and we are embedding them in a process of co-operative adaptive management, so that both researchers and managers continually improve their effectiveness by confronting different models to data. Our project is also building research capacity in Latin America by sharing knowledge/ information between countries and disciplines (i.e., biological, social and economic), by training earlycareer researchers through research visits, through our continuous collaboration with other researchers and by training and engaging stakeholders via workshops. Finally, all these activities will establish an international network of researchers, managers and decision-makers. We expect that our lessons learned will be of use in other regions of the world where complex and inherently context-specific realities shape how societies deal with IAS. |
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CONTAIN: Optimising the long-term management of invasive alien species using adaptive managementAbundance impact relationshipAdaptive managementBiological invasionsDispersalLigustrum lucidumModelsNeovison visonPinus contortaPinus radiataUrochloa sppVespula germanicaInvasive Alien Species (IAS) threaten biodiversity, ecosystem functions and services, modify landscapes and impose costs to national economies. Management efforts are underway globally to reduce these impacts, but little attention has been paid to optimising the use of the scarce available resources when IAS are impossible to eradicate, and therefore population reduction and containment of their advance are the only feasible solutions. CONTAIN, a three-year multinational project involving partners from Argentina, Brazil, Chile and the UK, started in 2019. It develops and tests, via case study examples, a decision-making toolbox for managing different problematic IAS over large spatial extents. Given that vast areas are invaded, spatial prioritisation of management is necessary, often based on sparse data. In turn, these characteristics imply the need to make the best decisions possible under likely heavy uncertainty. Our decision-support toolbox will integrate the following components: (i) the relevant environmental, social, cultural, and economic impacts, including their spatial distribution; (ii) the spatio-temporal dynamics of the target IAS (focusing on dispersal and population recovery); (iii) the relationship between the abundance of the IAS and its impacts; (iv) economic methods to estimate both benefits and costs to inform the spatial prioritisation of costeffective interventions. To ensure that our approach is relevant for different contexts in Latin America, we are working with model species having contrasting modes of dispersal, which have large environmental and/or economic impacts, and for which data already exist (invasive pines, privet, wasps, and American mink). We will also model plausible scenarios for data-poor pine and grass species, which impact local people in Argentina, Brazil and Chile. We seek the most effective strategic management actions supported by empirical data on the species' population dynamics and dispersal that underpin reinvasion, and on intervention costs in a spatial context. Our toolbox serves to identify key uncertainties driving the systems, and especially to highlight gaps where new data would most effectively reduce uncertainty on the best course of action. The problems we are tackling are complex, and we are embedding them in a process of co-operative adaptive management, so that both researchers and managers continually improve their effectiveness by confronting different models to data. Our project is also building research capacity in Latin America by sharing knowledge/ information between countries and disciplines (i.e., biological, social and economic), by training earlycareer researchers through research visits, through our continuous collaboration with other researchers and by training and engaging stakeholders via workshops. Finally, all these activities will establish an international network of researchers, managers and decision-makers. We expect that our lessons learned will be of use in other regions of the world where complex and inherently context-specific realities shape how societies deal with IAS.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)University of AberdeenQueens University BelfastInstituto de Ecología Regional (UNT-CONICET)Centro de Humedales Río Cruces (CEHUM) Universidad Austral de ChileLaboratorio de Invasiones Biológicas (LIB) Facultad de Ciencias Forestales Universidad de ConcepciónInstituto de Investigaciones Marinas y Costeras (IIMyC-CONICET) Instituto de Geología de Costas-CIC Universidad Nacional de Mar del PlataGrupo de Ecología de Invasiones INIBIOMA-UNComa CONICETLab of Vegetation Ecology Instituto de Biociências Universidade Estadual Paulista (UNESP)Servicio Agrícola y Ganadero (SAG)Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET) Dirección Regional Patagonia Norte Administración de Parques Nacionales Aves Argentinas- Asociación Ornitológica del PlataDepartamento de Ecología Genética y Evolución Instituto de Ecología Genética y Evolución de Buenos Aires (IEGEBA-CONICET) Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires. Aves Argentinas-Asociación Ornitológica del PlataLaboratorio de Estudios del Antropoceno (LEA) Facultad de Ciencias Forestales Universidad de ConcepciónLab of Vegetation Ecology Instituto de Biociências Universidade Estadual Paulista (UNESP)CNPq: 303988/2018-5University of AberdeenQueens University BelfastInstituto de Ecología Regional (UNT-CONICET)Universidad Austral de ChileUniversidad de ConcepciónUniversidad Nacional de Mar del PlataCONICETUniversidade Estadual Paulista (Unesp)Servicio Agrícola y Ganadero (SAG)Aves Argentinas- Asociación Ornitológica del PlataUniversidad de Buenos Aires. Aves Argentinas-Asociación Ornitológica del PlataLambin, XavierBurslem, DavidCaplat, PaulCornulier, ThomasDamasceno, Gabriella [UNESP]Fasola, LauraFidelis, Alessandra [UNESP]García-Díaz, PabloLangdon, BárbaraLinardaki, EiriniMontti, LíaMoyano, JaimeNuñez, Martín A.Palmer, Stephen C.F.Pauchard, AníbalPhimister, EuanPizarro, José CristóbalPowell, PriscilaRaffo, EduardoRodríguez-Jorquera, Ignacio A.Roesler, IgnacioTomasevic, Jorge A.Travis, Justin M.J.Verdugo, ClaudioKowarik, Ingo2020-12-12T01:35:51Z2020-12-12T01:35:51Z2020-08-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article119-138http://dx.doi.org/10.3897/NEOBIOTA.59.52022NeoBiota, v. 59, p. 119-138.1314-24881619-0033http://hdl.handle.net/11449/19929310.3897/NEOBIOTA.59.520222-s2.0-85089797166Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengNeoBiotainfo:eu-repo/semantics/openAccess2021-10-23T06:52:25Zoai:repositorio.unesp.br:11449/199293Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T06:52:25Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management |
title |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management |
spellingShingle |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management Lambin, Xavier Abundance impact relationship Adaptive management Biological invasions Dispersal Ligustrum lucidum Models Neovison vison Pinus contorta Pinus radiata Urochloa spp Vespula germanica |
title_short |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management |
title_full |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management |
title_fullStr |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management |
title_full_unstemmed |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management |
title_sort |
CONTAIN: Optimising the long-term management of invasive alien species using adaptive management |
author |
Lambin, Xavier |
author_facet |
Lambin, Xavier Burslem, David Caplat, Paul Cornulier, Thomas Damasceno, Gabriella [UNESP] Fasola, Laura Fidelis, Alessandra [UNESP] García-Díaz, Pablo Langdon, Bárbara Linardaki, Eirini Montti, Lía Moyano, Jaime Nuñez, Martín A. Palmer, Stephen C.F. Pauchard, Aníbal Phimister, Euan Pizarro, José Cristóbal Powell, Priscila Raffo, Eduardo Rodríguez-Jorquera, Ignacio A. Roesler, Ignacio Tomasevic, Jorge A. Travis, Justin M.J. Verdugo, Claudio Kowarik, Ingo |
author_role |
author |
author2 |
Burslem, David Caplat, Paul Cornulier, Thomas Damasceno, Gabriella [UNESP] Fasola, Laura Fidelis, Alessandra [UNESP] García-Díaz, Pablo Langdon, Bárbara Linardaki, Eirini Montti, Lía Moyano, Jaime Nuñez, Martín A. Palmer, Stephen C.F. Pauchard, Aníbal Phimister, Euan Pizarro, José Cristóbal Powell, Priscila Raffo, Eduardo Rodríguez-Jorquera, Ignacio A. Roesler, Ignacio Tomasevic, Jorge A. Travis, Justin M.J. Verdugo, Claudio Kowarik, Ingo |
author2_role |
author author author author author author author author author author author author author author author author author author author author author author author author |
dc.contributor.none.fl_str_mv |
University of Aberdeen Queens University Belfast Instituto de Ecología Regional (UNT-CONICET) Universidad Austral de Chile Universidad de Concepción Universidad Nacional de Mar del Plata CONICET Universidade Estadual Paulista (Unesp) Servicio Agrícola y Ganadero (SAG) Aves Argentinas- Asociación Ornitológica del Plata Universidad de Buenos Aires. Aves Argentinas-Asociación Ornitológica del Plata |
dc.contributor.author.fl_str_mv |
Lambin, Xavier Burslem, David Caplat, Paul Cornulier, Thomas Damasceno, Gabriella [UNESP] Fasola, Laura Fidelis, Alessandra [UNESP] García-Díaz, Pablo Langdon, Bárbara Linardaki, Eirini Montti, Lía Moyano, Jaime Nuñez, Martín A. Palmer, Stephen C.F. Pauchard, Aníbal Phimister, Euan Pizarro, José Cristóbal Powell, Priscila Raffo, Eduardo Rodríguez-Jorquera, Ignacio A. Roesler, Ignacio Tomasevic, Jorge A. Travis, Justin M.J. Verdugo, Claudio Kowarik, Ingo |
dc.subject.por.fl_str_mv |
Abundance impact relationship Adaptive management Biological invasions Dispersal Ligustrum lucidum Models Neovison vison Pinus contorta Pinus radiata Urochloa spp Vespula germanica |
topic |
Abundance impact relationship Adaptive management Biological invasions Dispersal Ligustrum lucidum Models Neovison vison Pinus contorta Pinus radiata Urochloa spp Vespula germanica |
description |
Invasive Alien Species (IAS) threaten biodiversity, ecosystem functions and services, modify landscapes and impose costs to national economies. Management efforts are underway globally to reduce these impacts, but little attention has been paid to optimising the use of the scarce available resources when IAS are impossible to eradicate, and therefore population reduction and containment of their advance are the only feasible solutions. CONTAIN, a three-year multinational project involving partners from Argentina, Brazil, Chile and the UK, started in 2019. It develops and tests, via case study examples, a decision-making toolbox for managing different problematic IAS over large spatial extents. Given that vast areas are invaded, spatial prioritisation of management is necessary, often based on sparse data. In turn, these characteristics imply the need to make the best decisions possible under likely heavy uncertainty. Our decision-support toolbox will integrate the following components: (i) the relevant environmental, social, cultural, and economic impacts, including their spatial distribution; (ii) the spatio-temporal dynamics of the target IAS (focusing on dispersal and population recovery); (iii) the relationship between the abundance of the IAS and its impacts; (iv) economic methods to estimate both benefits and costs to inform the spatial prioritisation of costeffective interventions. To ensure that our approach is relevant for different contexts in Latin America, we are working with model species having contrasting modes of dispersal, which have large environmental and/or economic impacts, and for which data already exist (invasive pines, privet, wasps, and American mink). We will also model plausible scenarios for data-poor pine and grass species, which impact local people in Argentina, Brazil and Chile. We seek the most effective strategic management actions supported by empirical data on the species' population dynamics and dispersal that underpin reinvasion, and on intervention costs in a spatial context. Our toolbox serves to identify key uncertainties driving the systems, and especially to highlight gaps where new data would most effectively reduce uncertainty on the best course of action. The problems we are tackling are complex, and we are embedding them in a process of co-operative adaptive management, so that both researchers and managers continually improve their effectiveness by confronting different models to data. Our project is also building research capacity in Latin America by sharing knowledge/ information between countries and disciplines (i.e., biological, social and economic), by training earlycareer researchers through research visits, through our continuous collaboration with other researchers and by training and engaging stakeholders via workshops. Finally, all these activities will establish an international network of researchers, managers and decision-makers. We expect that our lessons learned will be of use in other regions of the world where complex and inherently context-specific realities shape how societies deal with IAS. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-12T01:35:51Z 2020-12-12T01:35:51Z 2020-08-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.3897/NEOBIOTA.59.52022 NeoBiota, v. 59, p. 119-138. 1314-2488 1619-0033 http://hdl.handle.net/11449/199293 10.3897/NEOBIOTA.59.52022 2-s2.0-85089797166 |
url |
http://dx.doi.org/10.3897/NEOBIOTA.59.52022 http://hdl.handle.net/11449/199293 |
identifier_str_mv |
NeoBiota, v. 59, p. 119-138. 1314-2488 1619-0033 10.3897/NEOBIOTA.59.52022 2-s2.0-85089797166 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
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NeoBiota |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
119-138 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
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1799965304885870592 |