Generating and testing ecological hypotheses at the pondscape with environmental DNA metabarcoding: A case study on a threatened amphibian

Abstract

Abstract Background Environmental DNA (eDNA) metabarcoding is revolutionizing biodiversity monitoring, but has unrealized potential for ecological hypothesis generation and testing. Aims Here, we validate this potential in a large‐scale analysis of vertebrate community data generated by eDNA metabarcoding of 532 UK ponds. Materials & Methods We test biotic associations between the threatened great crested newt (Triturus cristatus) and other vertebrates as well as abiotic factors influencing T. cristatus detection at the pondscape. Furthermore, we test the status of T. cristatus as an umbrella species for pond conservation by assessing whether vertebrate species richness is greater in ponds with T. cristatus and higher T. cristatus Habitat Suitability Index (HSI) scores. Results Triturus cristatus detection was positively correlated with amphibian and waterfowl species richness. Specifically, T. cristatus was positively associated with smooth newt (Lissotriton vulgaris), common coot (Fulica atra), and common moorhen (Gallinula chloropus), but negatively associated with common toad (Bufo bufo). Triturus cristatus detection did not significantly decrease as fish species richness increased, but negative associations with common carp (Cyprinus carpio), three‐spined stickleback (Gasterosteus aculeatus), and ninespine stickleback (Pungitius pungitius) were identified. Triturus cristatus detection was negatively correlated with mammal species richness, and T. cristatus was negatively associated with gray squirrel (Sciurus carolinensis). Triturus cristatus detection was negatively correlated with larger pond area, presence of inflow, and higher percentage of shading, but positively correlated with HSI score, supporting its application to T. cristatus survey. Vertebrate species richness was significantly higher in T. cristatus ponds and broadly increased as T. cristatus HSI scores increased. Discussion We reaffirm reported associations (e.g., T. cristatus preference for smaller ponds) but also provide novel insights, including a negative effect of pond inflow on T. cristatus. Conclusion Our findings demonstrate the prospects of eDNA metabarcoding for ecological hypothesis generation and testing at landscape scale, and dramatic enhancement of freshwater conservation, management, monitoring, and research.

Keywords

• biodiversity assessment
• environmental DNA (eDNA)
• hypothesis testing
• metabarcoding
• ponds
• species associations