Replication data for Connection over creation: hydrological connectivity drives post-restoration community assembly in coastal ponds
This dataset contains biological and environmental data collected from pond ecosystems in La Pletera salt marsh to evaluate the effects of pond age and hydrological connectivity on aquatic communities. The dataset is organised into two components: (i) taxonomic data, provided as a CSV file, which in...
| Autores: | , , |
|---|---|
| Tipo de recurso: | conjunto de datos |
| Fecha de publicación: | 2025 |
| País: | España |
| Institución: | Consorci de Serveis Universitaris de Catalunya (CSUC) |
| Repositorio: | CORA.Repositori de Dades de Recerca |
| OAI Identifier: | oai:dnet:cora.rdr____::9d081843ddb1f07464ff13122066d42a |
| Acceso en línea: | https://doi.org/10.34810/DATA2516 |
| Access Level: | acceso abierto |
| Palabra clave: | Earth and Environmental Sciences Biodiversitat Biodiversidad. España Biodiversity Invertebrats aquàtics Invertebrados acuáticos Aquatic invertebrates Hidrologia Hidrología Hydrology Llacs--Ecologia Ecología de lagos Pond ecology Community composition Hydrological connectivity |
| Sumario: | This dataset contains biological and environmental data collected from pond ecosystems in La Pletera salt marsh to evaluate the effects of pond age and hydrological connectivity on aquatic communities. The dataset is organised into two components: (i) taxonomic data, provided as a CSV file, which includes species occurrence and abundance records of aquatic macroinvertebrates identified at the sampling sites, and (ii) environmental data, also in CSV format, which includes physicochemical parameters of the water and habitat quality variables measured during the surveys. The dataset is intended to facilitate analyses of community composition, biodiversity, and the influence of environmental variables on aquatic assemblages. The dataset was generated in the context of a study on biodiversity patterns in ponds. The temporal coverage spans three sampling years (2016, 2017 and 2022), allowing comparisons across time. The dataset is relevant for researchers interested in freshwater ecology, community assembly processes, and the role of connectivity in shaping biodiversity. |
|---|