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dc.date.available
2025-01-06T12:45:12Z  
dc.identifier.citation
Montti, Lia Fernanda; Palmer, Stephen C.F.; Powell, Priscila Ana; Burslem, David F.R.P.; Travis, Justin M.J.; Ponchon, Aurore; (2025): Simulating different strategies to control the invasive tree Ligustrum lucidum using the RangeShifter platform. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/251732  
dc.identifier.uri
http://hdl.handle.net/11336/251732  
dc.description.abstract
These folders contain all the inputs (batch files) to simulate alternative strategies for containing the invasion of the Asian tree Ligustrum lucidum at the expansion front. The simulations were conducted utilising a customised version of the individual-based spatially explicit modelling platform RangeShifter v2.0 (Bocedi et al., 2021; https://rangeshifter.github.io/). Across different sets of simulations, we varied the number of life stages and sites targeted. We additionally investigated how changing the management strategy over time affected outcomes. A total of 3 simulation experiments were carried out. The work was carried out as part of the Latin American Biodiversity Programme as part of the Newton Fund (NE/S011641/1), with contributions from NERC (UK), the Argentine National Scientific & Technical Research Council (CONICET,-201974-APN-DIR#CONICET) and 2022GCBCCONTAIN.- Invasive alien species management to decrease impacts on biodiversity, rural poverty and carbon storage -Folder 1: Parametrization of the Individual Base Model -Folder 2: Parametrization of Experiment 1: removing different life stages and varying the number of cells targeted each year for 30 years -Folder 3: Parametrization of Experiment 2: removing all stages (S1 to S4) to evaluate the effect of varying the number of cells targeted per year -Folder 4: Parametrization of Experiment 3: switching from removing all stages to removing only S1 and S2 after five years of removal would maintain effective control of the population for 15 years  
dc.rights
info:eu-repo/semantics/embargoedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.title
Simulating different strategies to control the invasive tree Ligustrum lucidum using the RangeShifter platform  
dc.type
dataset  
dc.date.updated
2025-01-06T12:16:24Z  
dc.description.fil
Fil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Palmer, Stephen C.F.. University of Aberdeen; Reino Unido  
dc.description.fil
Fil: Powell, Priscila Ana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.description.fil
Fil: Burslem, David F.R.P.. University of Aberdeen; Reino Unido  
dc.description.fil
Fil: Travis, Justin M.J.. University of Aberdeen; Reino Unido  
dc.description.fil
Fil: Ponchon, Aurore. University of Aberdeen; Reino Unido  
dc.rights.embargoDate
2025-07-21  
dc.datacite.PublicationYear
2025  
dc.datacite.Creator
Montti, Lia Fernanda  
dc.datacite.Creator
Palmer, Stephen C.F.  
dc.datacite.Creator
Powell, Priscila Ana  
dc.datacite.Creator
Burslem, David F.R.P.  
dc.datacite.Creator
Travis, Justin M.J.  
dc.datacite.Creator
Ponchon, Aurore  
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.publisher
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.subject
Ecología  
dc.datacite.subject
Ciencias Biológicas  
dc.datacite.subject
CIENCIAS NATURALES Y EXACTAS  
dc.datacite.ContributorType
Other  
dc.datacite.ContributorType
Other  
dc.datacite.ContributorName
Allgayer, R.L.  
dc.datacite.ContributorName
Plenderleith , F.A.  
dc.datacite.date
13/03/2022-21/11/2023  
dc.datacite.DateType
Creado  
dc.datacite.language
eng  
dc.datacite.version
1.0  
dc.datacite.FundingReference
CONICET,-201974-APN-DIR#CONICET  
dc.datacite.FundingReference
(NE/S011641/1 & 2022GCBCCONTAIN  
dc.datacite.FunderName
Consejo Nacional de Investigaciones Científicas y Técnicas  
dc.datacite.FunderName
NEWTON FUND & NERC  
dc.subject.keyword
Biological invasions  
dc.subject.keyword
Control strategies  
dc.subject.keyword
Conservation  
dc.subject.keyword
Individual-based model  
dc.subject.keyword
Invasion containment  
dc.subject.keyword
RangeShifter  
dc.datacite.resourceTypeGeneral
dataset  
dc.conicet.datoinvestigacionid
22105  
dc.datacite.awardTitle
CONTAIN project  
dc.datacite.awardTitle
CONTAIN project  
dc.conicet.justificacion
The data includes inputs from batch files to be used in the individual-based spatially explicit modelling platform RangeShifter v2.0 . These are generated to simulate different situations or population conditions anywhere.  
dc.datacite.formatedDate
2022-2023