Macroecological and biogeographic patterns of Kinorhyncha in the Iberian Peninsula
Aim: Biogeography and macroecology aim to understand the processes that determine patterns in nature. In the marine environment, most of what we know has been documented for fish and macrobenthic organisms. As a result, this knowledge is negatively biased towards smaller benthic organisms, including...
| Autores: | , , , , , , , , |
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| Tipo de recurso: | artículo |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Universidad Complutense de Madrid (UCM) |
| Repositorio: | Docta Complutense |
| Idioma: | inglés |
| OAI Identifier: | oai:docta.ucm.es:20.500.14352/132454 |
| Acceso en línea: | https://hdl.handle.net/20.500.14352/132454 |
| Access Level: | acceso abierto |
| Palabra clave: | 574.9(460) Ecoregion Environment Kinorhynch Lusitanian Mediterranean sea Meiofauna Ecología (Biología) Biología marina 2505.01 Biogeografía 2417.05 Biología Marina |
| Sumario: | Aim: Biogeography and macroecology aim to understand the processes that determine patterns in nature. In the marine environment, most of what we know has been documented for fish and macrobenthic organisms. As a result, this knowledge is negatively biased towards smaller benthic organisms, including meiofauna. In this study, we analysed the occurrence of species from the phylum Kinorhyncha, a meiobenthic group with presumably low dispersal potential. Location: Around the Iberian Peninsula. Our goal was to explore the biogeographic and macroecological patterns across the Lusitanian and Mediterranean Sea biogeographic provinces. Time Period: 1990–2021. Major Taxa Studied: Kinorhyncha Reinhard 1885. Methods: Species occurrence data were examined in relation to marine biogeographical classifications, considering multiple spatial scales across the Iberian Peninsula and key environmental variables. We applied generalised linear models (GLMs), generalised additive models (GAMs), and permutational multivariate analysis of variance (PERMANOVA) to evaluate the influence of province, ecoregion, area, sediment type, depth, latitude, and longitude on Kinorhyncha species richness and composition. Results: Species richness was primarily influenced by depth and biogeographic province, while species composition was better explained by area (geographic location) and sediment type. These results indicate that geographic location is a significant factor influencing the composition and distribution of Kinorhyncha. Despite their low dispersal capacity and limited mobility, we found that both provinces shared species. The Mediterranean Sea contained more exclusive species, despite being less thoroughly sampled. Main Conclusions: We found a biogeographic affinity between Atlantic and Mediterranean kinorhynchs, suggesting their coexistence across both marine provinces. However, species associations were weak at this broader spatial scale, underscoring the need to investigate finer-scale patterns, such as areas within specific regions, to more accurately characterise meiofaunal distribution. While this study focused exclusively on Kinorhyncha, we anticipate that similar spatial patterns may be present in other meiofaunal taxa lacking planktonic larvae, given their inherently limited dispersal capabilities. |
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