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DIGITAL.CSIC
Dataset . 2022 . Peer-reviewed
Data sources: DIGITAL.CSIC
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ZENODO
Dataset . 2018
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2018
License: CC 0
Data sources: Datacite
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Data from: Biological invasion modifies the co-occurrence patterns of insects along a stress gradient

Authors: Carbonell, José Antonio; Velasco, Josefa; Millan, Andres; Green, Andy J.; Coccia, Cristina; Guareschi, Simone; Gutiérrez-Cánovas, Cayetano;

Data from: Biological invasion modifies the co-occurrence patterns of insects along a stress gradient

Abstract

Biological invasions have become one of the most important drivers of biodiversity loss and ecosystem change world-wide. However, it is still unclear how invasions may interact with local abiotic stressors, which are expected to increase as global change intensifies. Furthermore, we know little about the response to biological invasions of insects, despite their disproportionate contribution to global animal biodiversity. The aim of the present work is to investigate the impact of an invasive aquatic insect on the co-occurrence patterns of native species of insects along a salinity gradient, and determine which assembly rules are driving these patterns. First, we characterised the habitat specialisation and functional niches of each species from physiological and biological traits, respectively, and their degree of overlap. Second, we used field data to compare the co-occurrence patterns of native and invasive species in invaded and non-invaded areas of southern Iberia and northern Morocco. Finally, we tested if habitat filtering or niche differentiation assembly rules mediate their co-occurrence. In non-invaded areas, habitat filtering drives habitat segregation of species along the salinity gradient, with a lower contribution of niche differentiation. The presence of the invasive insect modifies the distribution and co-occurrence patterns of native species. In invaded areas, niche differentiation seems to be the main mechanism to avoid competition among the invasive and native species, enabling coexistence and resource partitioning. The combined study of functional niche similarity and abiotic stressor tolerance of invasive and native species can improve our understanding of the effects of invasive species along abiotic stress gradients. This approach may increase our capacity to predict the outcomes of biological invasion in a global change context.

Compressed file containing 7 archives: environmental and biological data from invaded and non-invaded areas (original dataset); environmental and biological data from invaded area (to be used for data analysis along with the R script); environmental and biological data from non-invaded area (to be used for data analysis along with the R script); physiological and biological traits of corixids and their categories (to be used for data analysis along with the R script); affinity values of species for each trait category (to be used for data analysis along with the R script), physiological and biological traits of corixids and their categories (original dataset); document with detailed archives description.

Peer reviewed

Country
Spain
Keywords

Sigara selecta, Co-existence, Alien species, co-existence, alien species, habitat filtering, Sigara scripta, Sigara lateralis, Habitat filtering, Trichocorixa verticalis verticalis, Predictive ecology, Corixidae, predictive ecology

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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Italian National Biodiversity Future Center