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Combining environmental DNA and species distribution modeling to evaluate reintroduction success of a freshwater fish
- Source :
- Ecological Applications. 30
- Publication Year :
- 2019
- Publisher :
- Wiley, 2019.
-
Abstract
- Active species reintroduction is an important conservation tool when aiming for the restoration of biological communities and ecosystems. The effective monitoring of reintroduction success is a crucial factor in this process. Here, we used a combination of environmental DNA (eDNA) techniques and species distribution models (SDMs) to evaluate the success of recent reintroductions of the freshwater fish Alburnoides bipunctatus in central Germany. We built SDMs without and with eDNA presence data to locate further suitable reintroduction sites and potentially overlooked populations of the species. We successfully detected eDNA of A. bipunctatus at all reintroduction sites, as well as several adjacent sites mostly in downstream direction, which supports the success of reintroduction efforts. eDNA-based species detection considerably improved SDMs for A. bipunctatus, which allowed to identify species presence in previously unknown localities. Our results confirm the usefulness of eDNA techniques as standard tool to monitor reintroduced fish populations. We propose that combining eDNA with SDMs is a highly effective approach for long-term monitoring of reintroduction success in aquatic species.
- Subjects :
- 0106 biological sciences
Ecology
010604 marine biology & hydrobiology
Species distribution
Fishes
Species detection
Fresh Water
Biology
biology.organism_classification
DNA, Environmental
010603 evolutionary biology
01 natural sciences
Alburnoides bipunctatus
Water Framework Directive
Germany
Freshwater fish
Animals
Environmental DNA
Ecosystem
Species reintroduction
Subjects
Details
- ISSN :
- 19395582 and 10510761
- Volume :
- 30
- Database :
- OpenAIRE
- Journal :
- Ecological Applications
- Accession number :
- edsair.doi.dedup.....22d8797ca910cdc0238ca0ab4d864ae4
- Full Text :
- https://doi.org/10.1002/eap.2034