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      Island spider origins show complex vertical stratification patterns in Macaronesia

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          Abstract

          • Spiders are among the most diverse and yet threatened groups of arthropods in Macaronesia. Found in most habitat types, they occupy the vertical gradient of native forests from ground to canopy level.

          • We hypothesize that their vertical distribution is influenced by the colonization origin. As introduced species should arrive using shipping containers and similar means, they should mostly occupy the lower levels in the gradient, with potential negative effects on the indigenous epigean fauna.

          • Spiders were sampled from epigean to arboreal microhabitats (maximum height varying between 2 and 4 m) on 45 sites across five islands belonging to three archipelagos. The mean and range of vertical stratification were obtained for each captured species. These values were then compared between different colonization origins at Macaronesian and archipelagic levels.

          • Native non‐endemic species were found at significantly higher vertical strata than both endemic and introduced species. Likewise, native non‐endemics had a larger vertical range. These patterns were largely replicated across archipelagos, although there were exceptions.

          • Overall, introduced species do not seem to occur mostly at lower strata in the native forests of Macaronesia (at least in the studied vertical range) but seem to be vertically restricted in most settings with the exception of Madeira.

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          Most cited references76

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          Seven Shortfalls that Beset Large-Scale Knowledge of Biodiversity

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            Coverage-based rarefaction and extrapolation: standardizing samples by completeness rather than size

            We propose an integrated sampling, rarefaction, and extrapolation methodology to compare species richness of a set of communities based on samples of equal completeness (as measured by sample coverage) instead of equal size. Traditional rarefaction or extrapolation to equal-sized samples can misrepresent the relationships between the richnesses of the communities being compared because a sample of a given size may be sufficient to fully characterize the lower diversity community, but insufficient to characterize the richer community. Thus, the traditional method systematically biases the degree of differences between community richnesses. We derived a new analytic method for seamless coverage-based rarefaction and extrapolation. We show that this method yields less biased comparisons of richness between communities, and manages this with less total sampling effort. When this approach is integrated with an adaptive coverage-based stopping rule during sampling, samples may be compared directly without rarefaction, so no extra data is taken and none is thrown away. Even if this stopping rule is not used during data collection, coverage-based rarefaction throws away less data than traditional size-based rarefaction, and more efficiently finds the correct ranking of communities according to their true richnesses. Several hypothetical and real examples demonstrate these advantages.
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              Estimating species richness using the jackknife procedure.

              An exact expression is given for the jackknife estimate of the number of species in a community and for the variance of this number when quadrat sampling procedures are used. The jackknife estimate is a function of the number of species that occur in one and only one quadrat. The variance of the number of species can be constructed, as can approximate two-sided confidence intervals. The behavior of the jackknife estimate, as affected by quadrat size, sample size and sampling area, is investigated by simulation.
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                Author and article information

                Contributors
                Journal
                Insect Conservation and Diversity
                Insect Conserv Diversity
                1752-458X
                1752-4598
                November 2023
                September 08 2023
                November 2023
                : 16
                : 6
                : 886-895
                Affiliations
                [1 ] Departamento de Ciências e Engenharia do Ambiente cE3c – Centre for Ecology Evolution and Environmental Changes/Azorean Biodiversity Group /CHANGE – Global Change and Sustainability Institute and Universidade dos Açores Angra do Heroísmo Portugal
                [2 ] LIBRe – Laboratory for Integrative Biodiversity Research, Finnish Museum of Natural History LUOMUS University of Helsinki Helsinki Finland
                [3 ] Centre for Ecology, Evolution and Environmental Changes, CHANGE—Global Change and Sustainability Institute, Faculty of Sciences University of Lisbon Lisbon Portugal
                [4 ] CNRS – Université de Pau et des Pays de l'Adour – E2S UPPA, Institut Des Sciences Analytiques et de Physico Chimie pour L'environnement et les Materiaux UMR5254 Pau France
                Article
                10.1111/icad.12686
                b1bc7b04-e89e-459c-bc38-fe4c8587e1d0
                © 2023

                http://creativecommons.org/licenses/by/4.0/

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