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dc.date.available
2024-05-10T12:27:44Z  
dc.identifier.citation
Powell, Priscila Ana; Russo, María Candela; Rodríguez, José Sebastián; Irrazabal Alarcón, Valentina; Tannure, Florencia; Baricco, Mariana; García Díaz, Pablo; Cornulier, Thomas; Burslem, David; Montti, Lia Fernanda; (2024): Seed rain sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, 2021-2023. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/235088  
dc.identifier.uri
http://hdl.handle.net/11336/235088  
dc.description.abstract
These seed rain data were collected during a field experiment evaluating the management of secondary forests affected by Ligustrum lucidum invasion. The experiment established six permanent plots of 240 metres by 140 meters each (3.36 hectares, see related dataset). Plots were established in pairs (3 pairs in total), where one element of the pair was assigned as the control scenario (no actions applied), and the other was the treatment (L. lucidum control and native tree planting). After implementing the treatment, 288 seed traps were established, each one being a 0.5x0.5-metre quadrat of mosquito mesh suspended by stakes at 0.30 metres above the ground. In total 48 seed traps per plot were deployed, allocating 12 seed traps to each of the 4 transects within each of the six permanent plots. Every two weeks, all the fruits and seeds were collected that had fallen on the traps, and then we identified each item at the species level when it was feasible. They were identified using field guides, a reference collection of fruits and seeds gathered from local field sites and supported by local experienced taxonomists. Also recorded was if there were signs that the fruit was consumed by animals.  
dc.rights
info:eu-repo/semantics/embargoedAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.title
Seed rain sampling in a secondary subtropical forest invaded by Ligustrum lucidum subject to experimental management, 2021-2023  
dc.type
dataset  
dc.date.updated
2024-05-10T11:04:55Z  
dc.description.fil
Fil: Powell, Priscila Ana. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.description.fil
Fil: Russo, María Candela. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.description.fil
Fil: Rodríguez, José Sebastián. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.description.fil
Fil: Irrazabal Alarcón, Valentina. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.description.fil
Fil: Tannure, Florencia. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.description.fil
Fil: Baricco, Mariana. Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional; Argentina  
dc.description.fil
Fil: García Díaz, Pablo. University of Aberdeen; Reino Unido  
dc.description.fil
Fil: Cornulier, Thomas. University of Aberdeen; Reino Unido  
dc.description.fil
Fil: Burslem, David. University of Aberdeen; Reino Unido  
dc.description.fil
Fil: Montti, Lia Fernanda. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina  
dc.rights.embargoDate
2025-11-10  
dc.datacite.PublicationYear
2024  
dc.datacite.Creator
Powell, Priscila Ana  
dc.datacite.Creator
Russo, María Candela  
dc.datacite.Creator
Rodríguez, José Sebastián  
dc.datacite.Creator
Irrazabal Alarcón, Valentina  
dc.datacite.Creator
Tannure, Florencia  
dc.datacite.Creator
Baricco, Mariana  
dc.datacite.Creator
García Díaz, Pablo  
dc.datacite.Creator
Cornulier, Thomas  
dc.datacite.Creator
Burslem, David  
dc.datacite.Creator
Montti, Lia Fernanda  
dc.datacite.affiliation
Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional  
dc.datacite.affiliation
Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional  
dc.datacite.affiliation
Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional  
dc.datacite.affiliation
Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional  
dc.datacite.affiliation
Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional  
dc.datacite.affiliation
Universidad Nacional de Tucumán. Instituto de Ecología Regional. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tucumán. Instituto de Ecología Regional  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
University of Aberdeen  
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas  
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.date
2023  
dc.datacite.DateType
Recolectado  
dc.datacite.language
eng  
dc.datacite.AlternateIdentifierType
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.5285/72915dd3-3972-46f2-a0f3-0f52fe51667f  
dc.datacite.version
1.0  
dc.datacite.description
These seed rain data were collected during a field experiment evaluating the management of secondary forests affected by Ligustrum lucidum invasion. The experiment established six permanent plots of 240 metres by 140 meters each (3.36 hectares, see related dataset). Plots were established in pairs (3 pairs in total), where one element of the pair was assigned as the control scenario (no actions applied), and the other was the treatment (L. lucidum control and native tree planting). After implementing the treatment, 288 seed traps were established, each one being a 0.5x0.5-metre quadrat of mosquito mesh suspended by stakes at 0.30 metres above the ground. In total 48 seed traps per plot were deployed, allocating 12 seed traps to each of the 4 transects within each of the six permanent plots. Every two weeks, all the fruits and seeds were collected that had fallen on the traps, and then we identified each item at the species level when it was feasible. They were identified using field guides, a reference collection of fruits and seeds gathered from local field sites and supported by local experienced taxonomists. Also recorded was if there were signs that the fruit was consumed by animals.  
dc.datacite.DescriptionType
Tabla de contenidos  
dc.datacite.FundingReference
NE/S011641/1  
dc.datacite.FunderName
NERC  
dc.subject.keyword
INVASIVE SPECIES  
dc.subject.keyword
SUBTROPICAL FOREST  
dc.subject.keyword
SEEDS  
dc.subject.keyword
INVASIVE PLANT MANAGEMENT  
dc.datacite.resourceTypeGeneral
dataset  
dc.conicet.datoinvestigacionid
15496  
dc.datacite.awardTitle
Optimising the long-term management of invasive species affecting biodiversity and the rural economy using adaptive management  
dc.datacite.geolocation
Yerba Buena  
dc.datacite.formatedDate
2023