CONTAIN: Optimising the long-term management of invasive alien species using adaptive management
- Autores
- Lambin, Xavier; Burslem, David; Caplat, Paul; Cornulier, Thomas; Damasceno, Gabriella; Fasola, Laura; Fidelis, Alessandra; García Díaz, Pablo; Langdon, Bárbara; Linardaki, Eirini; Montti, Lia Fernanda; Moyano, Jaime; Nuñez, Martin Andres; Palmer, Stephen; Pauchard, Aníbal; Phimister, Euan; Pizarro, José Cristóbal; Powell, Priscila Ana; Raffo, Eduardo Alberto; Rodriguez Jorquera, Ignacio; Roesler, Carlos Ignacio; Tomasevic, Jorge; Travis, Justin; Verdugo, Claudio
- Año de publicación
- 2020
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- 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 cost-effective 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 early-career 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.
Fil: Lambin, Xavier. University of Aberdeen; Reino Unido
Fil: Burslem, David. University of Aberdeen; Reino Unido
Fil: Caplat, Paul. The Queens University of Belfast; Irlanda
Fil: Cornulier, Thomas. University of Aberdeen; Reino Unido
Fil: Damasceno, Gabriella. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Fasola, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Administración de Parques Nacionales. Delegación Regional Patagonia; Argentina
Fil: Fidelis, Alessandra. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: García Díaz, Pablo. University of Aberdeen; Reino Unido
Fil: Langdon, Bárbara. Universidad de Concepción; Chile
Fil: Linardaki, Eirini. University of Aberdeen; Reino Unido
Fil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina
Fil: Moyano, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Nuñez, Martin Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina
Fil: Palmer, Stephen. University of Aberdeen; Reino Unido
Fil: Pauchard, Aníbal. Universidad de Concepción; Chile
Fil: Phimister, Euan. University of Aberdeen; Reino Unido
Fil: Pizarro, José Cristóbal. Universidad de Concepción; Chile
Fil: Powell, Priscila Ana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; Argentina
Fil: Raffo, Eduardo Alberto. Servicio Agrícola y Ganadero; Chile
Fil: Rodriguez Jorquera, Ignacio. Universidad Austral de Chile; Chile
Fil: Roesler, Carlos Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina
Fil: Tomasevic, Jorge. Universidad Austral de Chile; Chile
Fil: Travis, Justin. University of Aberdeen; Reino Unido
Fil: Verdugo, Claudio. Universidad Austral de Chile; Chile - Materia
-
ABUNDANCE IMPACT RELATIONSHIP
ADAPTIVE MANAGEMENT
BIOLOGICAL INVASIONS
DISPERSAL - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by/2.5/ar/
- Repositorio
.jpg)
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/115022
Ver los metadatos del registro completo
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CONTAIN: Optimising the long-term management of invasive alien species using adaptive managementLambin, XavierBurslem, DavidCaplat, PaulCornulier, ThomasDamasceno, GabriellaFasola, LauraFidelis, AlessandraGarcía Díaz, PabloLangdon, BárbaraLinardaki, EiriniMontti, Lia FernandaMoyano, JaimeNuñez, Martin AndresPalmer, StephenPauchard, AníbalPhimister, EuanPizarro, José CristóbalPowell, Priscila AnaRaffo, Eduardo AlbertoRodriguez Jorquera, IgnacioRoesler, Carlos IgnacioTomasevic, JorgeTravis, JustinVerdugo, ClaudioABUNDANCE IMPACT RELATIONSHIPADAPTIVE MANAGEMENTBIOLOGICAL INVASIONSDISPERSALhttps://purl.org/becyt/ford/1.6https://purl.org/becyt/ford/1Invasive 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 cost-effective 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 early-career 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.Fil: Lambin, Xavier. University of Aberdeen; Reino UnidoFil: Burslem, David. University of Aberdeen; Reino UnidoFil: Caplat, Paul. The Queens University of Belfast; IrlandaFil: Cornulier, Thomas. University of Aberdeen; Reino UnidoFil: Damasceno, Gabriella. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: Fasola, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Administración de Parques Nacionales. Delegación Regional Patagonia; ArgentinaFil: Fidelis, Alessandra. Universidade Estadual Paulista Julio de Mesquita Filho; BrasilFil: García Díaz, Pablo. University of Aberdeen; Reino UnidoFil: Langdon, Bárbara. Universidad de Concepción; ChileFil: Linardaki, Eirini. University of Aberdeen; Reino UnidoFil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; ArgentinaFil: Moyano, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Nuñez, Martin Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Palmer, Stephen. University of Aberdeen; Reino UnidoFil: Pauchard, Aníbal. Universidad de Concepción; ChileFil: Phimister, Euan. University of Aberdeen; Reino UnidoFil: Pizarro, José Cristóbal. Universidad de Concepción; ChileFil: Powell, Priscila Ana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; ArgentinaFil: Raffo, Eduardo Alberto. Servicio Agrícola y Ganadero; ChileFil: Rodriguez Jorquera, Ignacio. Universidad Austral de Chile; ChileFil: Roesler, Carlos Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; ArgentinaFil: Tomasevic, Jorge. Universidad Austral de Chile; ChileFil: Travis, Justin. University of Aberdeen; Reino UnidoFil: Verdugo, Claudio. Universidad Austral de Chile; ChilePensoft Publishers2020-08info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/115022Lambin, Xavier; Burslem, David; Caplat, Paul; Cornulier, Thomas; Damasceno, Gabriella; et al.; CONTAIN: Optimising the long-term management of invasive alien species using adaptive management; Pensoft Publishers; NeoBiota; 59; 8-2020; 119-1381619-00331314-2488CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://neobiota.pensoft.net/article/52022/info:eu-repo/semantics/altIdentifier/doi/10.3897/neobiota.59.52022info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:28:52Zoai:ri.conicet.gov.ar:11336/115022instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:28:52.663CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
| 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 |
| 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 |
| dc.creator.none.fl_str_mv |
Lambin, Xavier Burslem, David Caplat, Paul Cornulier, Thomas Damasceno, Gabriella Fasola, Laura Fidelis, Alessandra García Díaz, Pablo Langdon, Bárbara Linardaki, Eirini Montti, Lia Fernanda Moyano, Jaime Nuñez, Martin Andres Palmer, Stephen Pauchard, Aníbal Phimister, Euan Pizarro, José Cristóbal Powell, Priscila Ana Raffo, Eduardo Alberto Rodriguez Jorquera, Ignacio Roesler, Carlos Ignacio Tomasevic, Jorge Travis, Justin Verdugo, Claudio |
| author |
Lambin, Xavier |
| author_facet |
Lambin, Xavier Burslem, David Caplat, Paul Cornulier, Thomas Damasceno, Gabriella Fasola, Laura Fidelis, Alessandra García Díaz, Pablo Langdon, Bárbara Linardaki, Eirini Montti, Lia Fernanda Moyano, Jaime Nuñez, Martin Andres Palmer, Stephen Pauchard, Aníbal Phimister, Euan Pizarro, José Cristóbal Powell, Priscila Ana Raffo, Eduardo Alberto Rodriguez Jorquera, Ignacio Roesler, Carlos Ignacio Tomasevic, Jorge Travis, Justin Verdugo, Claudio |
| author_role |
author |
| author2 |
Burslem, David Caplat, Paul Cornulier, Thomas Damasceno, Gabriella Fasola, Laura Fidelis, Alessandra García Díaz, Pablo Langdon, Bárbara Linardaki, Eirini Montti, Lia Fernanda Moyano, Jaime Nuñez, Martin Andres Palmer, Stephen Pauchard, Aníbal Phimister, Euan Pizarro, José Cristóbal Powell, Priscila Ana Raffo, Eduardo Alberto Rodriguez Jorquera, Ignacio Roesler, Carlos Ignacio Tomasevic, Jorge Travis, Justin Verdugo, Claudio |
| 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 |
| dc.subject.none.fl_str_mv |
ABUNDANCE IMPACT RELATIONSHIP ADAPTIVE MANAGEMENT BIOLOGICAL INVASIONS DISPERSAL |
| topic |
ABUNDANCE IMPACT RELATIONSHIP ADAPTIVE MANAGEMENT BIOLOGICAL INVASIONS DISPERSAL |
| purl_subject.fl_str_mv |
https://purl.org/becyt/ford/1.6 https://purl.org/becyt/ford/1 |
| dc.description.none.fl_txt_mv |
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 cost-effective 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 early-career 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. Fil: Lambin, Xavier. University of Aberdeen; Reino Unido Fil: Burslem, David. University of Aberdeen; Reino Unido Fil: Caplat, Paul. The Queens University of Belfast; Irlanda Fil: Cornulier, Thomas. University of Aberdeen; Reino Unido Fil: Damasceno, Gabriella. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil Fil: Fasola, Laura. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Administración de Parques Nacionales. Delegación Regional Patagonia; Argentina Fil: Fidelis, Alessandra. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil Fil: García Díaz, Pablo. University of Aberdeen; Reino Unido Fil: Langdon, Bárbara. Universidad de Concepción; Chile Fil: Linardaki, Eirini. University of Aberdeen; Reino Unido Fil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata. Instituto de Investigaciones Marinas y Costeras. Universidad Nacional de Mar del Plata. Facultad de Ciencias Exactas y Naturales. Instituto de Investigaciones Marinas y Costeras; Argentina Fil: Moyano, Jaime. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina Fil: Nuñez, Martin Andres. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; Argentina Fil: Palmer, Stephen. University of Aberdeen; Reino Unido Fil: Pauchard, Aníbal. Universidad de Concepción; Chile Fil: Phimister, Euan. University of Aberdeen; Reino Unido Fil: Pizarro, José Cristóbal. Universidad de Concepción; Chile Fil: Powell, Priscila Ana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Nacional de Tucumán. Facultad de Ciencias Naturales e Instituto Miguel Lillo. Instituto de Ecología Regional; Argentina Fil: Raffo, Eduardo Alberto. Servicio Agrícola y Ganadero; Chile Fil: Rodriguez Jorquera, Ignacio. Universidad Austral de Chile; Chile Fil: Roesler, Carlos Ignacio. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Ciudad Universitaria. Instituto de Ecología, Genética y Evolución de Buenos Aires. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Instituto de Ecología, Genética y Evolución de Buenos Aires; Argentina Fil: Tomasevic, Jorge. Universidad Austral de Chile; Chile Fil: Travis, Justin. University of Aberdeen; Reino Unido Fil: Verdugo, Claudio. Universidad Austral de Chile; Chile |
| 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 cost-effective 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 early-career 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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2020 |
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2020-08 |
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http://hdl.handle.net/11336/115022 Lambin, Xavier; Burslem, David; Caplat, Paul; Cornulier, Thomas; Damasceno, Gabriella; et al.; CONTAIN: Optimising the long-term management of invasive alien species using adaptive management; Pensoft Publishers; NeoBiota; 59; 8-2020; 119-138 1619-0033 1314-2488 CONICET Digital CONICET |
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http://hdl.handle.net/11336/115022 |
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Lambin, Xavier; Burslem, David; Caplat, Paul; Cornulier, Thomas; Damasceno, Gabriella; et al.; CONTAIN: Optimising the long-term management of invasive alien species using adaptive management; Pensoft Publishers; NeoBiota; 59; 8-2020; 119-138 1619-0033 1314-2488 CONICET Digital CONICET |
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