Globally unified analysis of riverine eDNA reveals common associations of fish biodiversity with drainage characteristics
Yan ZhangiD, Heng ZhangiD, Hiroshi D. AkashiiD, Camille P. AlbouyiD, Kara J. AndresiD, José BarquíniD, Jeanine BrantscheniD, Richard E. ConnoniD, Joseph M. CraineiD, Deirdre Bridget GleesoniD, Alejandra Goldenberg‐VilariD, Alexia María González-FerrerasiD, Chelsea I. Hatzenbuhler, Kamil HupałoiD, Josephine HydeiD, Wataru IwasakiiD, Mark D. JohnsoniD, Aron D. KatziD, Вячеслав Викторович КузовлевiD, Courtney E. LarsoniD, Laurène Alicia LecaudeyiD, Florian LeeseiD, Matthieu LerayiD, Feilong LiiD, Till‐Hendrik MacheriD, , Florian AltermattiD
Abstract
Freshwater biodiversity is declining at a pace that outstrips the capacity of existing monitoring approaches both in temporal and spatial dimensions, highlighting the urgent need for rapid and scalable assessment and attribution of biodiversity states and changes. Here, we present one of the first global assessments and unified analyses of riverine fish biodiversity using environmental DNA (eDNA) collected from 1818 sites across 113 river systems. We quantified species richness, functional redundancy, phylogenetic diversity, and genetic sequence diversity, and related them to drainage characteristics. Our results showed that eDNA effectively captured global patterns of multi-faceted riverine fish biodiversity and disentangled the roles of climate and human activities in shaping biodiversity-area relationships. Catchments in warmer climates consistently enhanced biodiversity accumulation with area, while higher human activity intensity weakened this scaling. Species richness, functional, and genetic sequence diversity exhibited stronger negative responses to human activities in larger catchments. In contrast, phylogenetic diversity showed the strongest negative effects in smaller catchments with these impacts diminishing as catchment area increased, highlighting the facet-dependent nature of biodiversity responses to environmental gradients. Our findings demonstrate the power of eDNA-based datasets for harmonized, multi-faceted biodiversity assessments, offering a scalable approach for detecting and attributing biodiversity change and informing conservation strategies under accelerating global change.
02 /Specification & Classification
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