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dc.date.available
2026-04-14T10:57:05Z
dc.identifier.citation
Santos, Micaela; Vazquez, Diego P.; Cagnolo, Luciano; (2026): Redes tri-tróficas plantas-insectos herbívoros-parasitoides en fragmentos de monte rodeados de matriz vitivinícola. Consejo Nacional de Investigaciones Científicas y Técnicas. (dataset). http://hdl.handle.net/11336/284654
dc.identifier.uri
http://hdl.handle.net/11336/284654
dc.description.abstract
Interacciones tróficas entre plantas, insectos herbívoros (galícolas, minadores de hojas, pulgones y cochinillas), parasitoides y otros enemigos naturales en fragmentos de hábitat de monte en un paisaje agrícola (principalmente vitivinícola) del Valle de Uco-Mendoza con distinta conectividad, edad de fragmentación y área.
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.title
Redes tri-tróficas plantas-insectos herbívoros-parasitoides en fragmentos de monte rodeados de matriz vitivinícola
dc.type
dataset
dc.date.updated
2026-04-10T09:52:09Z
dc.description.fil
Fil: Santos, Micaela. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
dc.description.fil
Fil: Vazquez, Diego P.. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas; Argentina
dc.description.fil
Fil: Cagnolo, Luciano. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal; Argentina
dc.datacite.PublicationYear
2026
dc.datacite.Creator
Santos, Micaela
dc.datacite.Creator
Vazquez, Diego P.
dc.datacite.Creator
Cagnolo, Luciano
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Provincia de Mendoza. Instituto Argentino de Investigaciones de las Zonas Áridas. Universidad Nacional de Cuyo. Instituto Argentino de Investigaciones de las Zonas Áridas
dc.datacite.affiliation
Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Córdoba. Instituto Multidisciplinario de Biología Vegetal. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas Físicas y Naturales. Instituto Multidisciplinario de Biología Vegetal
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
01/04/2015-31/03/2020
dc.datacite.DateType
Creado
dc.datacite.language
eng
dc.datacite.AlternateIdentifierType
info:eu-repo/semantics/altIdentifier/doi/https://doi.org/10.5061/dryad.7m0cfxpsb
dc.datacite.version
1.0
dc.datacite.description
To describe plant composition in habitat fragments, in austral spring (October) 2015 and summer (December) 2016, we sampled vegetation at the centroid of each fragment using the point-intercept method along four 50-m transects defining a square whose center was the fragment's centroid, with sampling points every 2 m (Bullock 1996). With these data, we estimated species’ abundance as the number of points in a fragment in which the species was present. To describe interaction diversity, at the centroid of each fragment we also sampled plant–herbivore interactions along two 50 × 2 m transect bands during the spring and summer of two consecutive years (2015–2016 and 2016–2017). We applied the same sampling effort in all fragments regardless of their area to maintain sampled area constant among fragments. To describe plant–herbivore interactions in the study fragments, in each transect band, we identified and estimated the abundance of all galls on leaves and stems, mined leaves, aphid colonies (family Aphididae), and scale insects (superfamily Coccoidea) on shrubs and herbs. We identified galls and mines in the field based on host plant identity and on their position, shape, color, and size. To confirm whether galls and mines collected in the field were correctly identified, we kept them in the laboratory for 1 yr after collection to allow for the emergence of adult gallers and miners. Based on adult morphology, we identified all emerged insects associated with mines and galls to the lowest possible taxonomic level. Scale insects and aphids were identified to the morphospecies level based on external morphology. We kept the immature and/or parasitized herbivores in the lab (galls, mines, parasitized aphids and scale insects) until herbivore and parasitoid adult emergence, which allowed recording herbivore-parasitoid interactions. We identified all species and morphospecies emerged from galls, mines and parasitized aphids and scale insects, then we assigned them to the most likely trophic guild; alternatively, we identified galls and mines through external morphology when adult herbivores did not emerge in the lab. Furthermore, as insects associated to galls were highly diverse, it was not possible to determine whether a given species was a gall maker, a predator or parasitoid of the gall maker, or an opportunistic occupier of the gall, therefore we decided to consider parasitoids and predators interacting with the whole gall. To distinguish between long-fragmented habitats and recently fragmented habitats, we used the timelapse tool in GoogleEarthPro to track cover changes over the past ~30 years (1984-2017). A visual analysis of the oldest map (1984) revealed initial habitat loss and fragmentation spreading from east to west. A long-term analysis of changes in our study area showed high cropland persistence in the east between 1986-2018, confirming that Monte desert habitats located in the east were fragmented before 1986. Therefore, the rationale of this categorization is that long-fragmented habitats have started the relaxation process earlier, regardless of how much area has been lost. The low resolution of available images prevented precise measurement of landscape features from 1984 to 2003. Consequently, we defined long-fragmented habitats as fragments that experienced significant changes before 2003, and recently fragmented habitats, after 2003. This classification implies that long-fragmented habitats have remained constant in area since 2003 to the present (but they are much older), while their connectivity has changed due to ongoing surrounding landscape changes. In contrast, recently fragmented habitats have experienced changes in both area and connectivity from 2003 to the present. As a result of this classification, we distinguished two subsets of five long-fragmented habitats representing the stable habitats of reference, and nine recently fragmented habitats representing the unstable habitats with a presumably unpaid debt. We measured current areas and connectivities using the 2015 map, while for past areas and connectivities we used the 2003 map. To calculate areas and distances, we used st_area and st_distance of the sf package in R, respectively, providing a vectorized map of present and past landscape. We considered the distances edge-to-edge among both sampled and unsampled fragments in the landscape and distance to continuous habitat. In the past landscape, for habitats that currently still have an adjacent border to continuous habitat, we maintained the borders with the continuous habitat identified in the present, to avoid overestimating the past areas. To estimate fragment connectivity, we calculated the sum of the shortest geographical distances between neighboring fragments, i.e ⅀dij, where dij represents the distance between fragments i and j.
dc.datacite.DescriptionType
Métodos
dc.datacite.FundingReference
PICT-2014-3168
dc.datacite.FunderName
Ministerio de Ciencia, Tecnología e Innovación Productiva. Agencia Nacional de Promoción Científica y Tecnológica. Fondo para la Investigación Científica y Tecnológica
dc.relationtype.isSourceOf
http://dx.doi.org/10.1098/rspb.2025.1640.R1
dc.relationtype.isSourceOf
11336/109973
dc.relationtype.isSourceOf
https://ri.conicet.gov.ar/handle/11336/143895
dc.subject.keyword
Redes tróficas
dc.subject.keyword
Fragmentación del hábitat
dc.subject.keyword
Conectividad del hábitat
dc.subject.keyword
Paisaje vitivinícola
dc.datacite.resourceTypeGeneral
dataset
dc.conicet.datoinvestigacionid
32577
dc.datacite.awardTitle
Estructura y dinámica de las redes de interacción ante el cambio global
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dc.datacite.formatedDate
2015-2020
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