Abstract
Abstract
Background
The exclusion of tourist species from samples is important to avoid bias in community analyses. However, in practice, this is a very difficult task. The commonly used methods by researchers, when the habitat of the species is not known, have several shortcomings: first, they exclude not only pseudo-rare species but also genuinely rare species; second, the results obtained with those methods depend on the abundance of the sampling; and third, they follow very subjective rules. The aims of this study were: (i) to propose a methodology to detect and exclude habitat-tourist species from the database used to carry out analyses in community ecology studies, (ii) to evaluate how the presence of habitat-tourist species affects the richness estimates, and (iii) to assess the effect of including juvenile spiders in the detection of tourist species and the effect of removing them from the richness estimates.
Results
When the adult + juvenile dataset was considered, twenty-one habitat-tourist species were detected: 8 in forest foliage, 11 in forest leaf litter, and 2 in grassland. When habitat-tourist species were considered with this dataset, richness overestimation was significant in foliage and in leaf litter, and the final slopes of the richness estimation curves were significantly steeper in leaf litter. When only the adult dataset was considered, eight habitat-tourist species were detected: 3 in forest foliage, 4 in forest leaf litter, and just one in grassland. The inclusion of habitat-tourist species in this dataset showed an overestimation of richness, but this was not significant.
Conclusions
The proposed methodology contributes to solving the problem of tourist species, which was recognized as one of the great problems in biodiversity studies. This study showed that common estimators overestimate species richness when habitat-tourist species are included, leading to erroneous conclusions. Besides, this research showed that the inclusion of juveniles (e.g. spiders) could improve the analysis outputs because it allowed the detection of more habitat-tourist species.
Funder
Consejo Nacional de Investigaciones Científicas y Técnicas
Secretaría General de Ciencia y Técnica, Universidad Nacional del Nordeste
Publisher
Springer Science and Business Media LLC
Subject
Ecological Modeling,Ecology
Reference61 articles.
1. Achitte-Schmutzler HC, Avalos G, Oscherov EB (2022) Diversidad taxonómica de Thomisidae (Araneae) en ambientes heterogéneos del sitio Ramsar Humedales Chaco, Argentina. Caldasia 44(1):119–129. https://doi.org/10.15446/caldasia.v44n1.83581
2. Arana MD, Natale E, Ferretti N, Romano G, Oggero A, Martínez G, Posadas P, Morrone JJ (2021) Esquema biogeográfico de la República Argentina. Opera lilloana 56, Fundación Miguel Lillo, Tucumán
3. Archer ME (2003) The wasps and bees (Hymenoptera: Aculeata) of Messingham Sand Quarry in Watsonian Lincolnshire with special reference to resident and tourist species. Naturalist 128:93–102
4. Arnold AE, Lutzoni F (2007) Diversity and host range of foliar fungal endophytes: are tropical leaves biodiversity hotspots? Ecology 88(3):541–549. https://doi.org/10.1890/05-1459
5. Avalos G, Achitte-Schmutzler HC, de los Santos ME (2018) Caracterización de la fauna de arañas en monocultivos de Eucalyptus y Pinus de la Reserva del Iberá, Corrientes, Argentina. Rev Mex Biodivers 89(1):134–148. https://doi.org/10.22201/ib.20078706e.2018.1.1910
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