期刊
MOLECULAR ECOLOGY
卷 30, 期 13, 页码 3068-3082出版社
WILEY
DOI: 10.1111/mec.15543
关键词
abundance; allometric scaling; allometry; biomass; density; eDNA; environmental DNA
资金
- Natural Sciences and Engineering Research Council of Canada
- Fonds de Recherche du Quebec - Nature et Technologies
Estimation of organism abundance is challenging in ecology. A study integrating allometric scaling coefficients into models of eDNA concentration and abundance demonstrated that individual body size distribution can influence population-level eDNA production rates. Incorporating allometric scaling may improve predictive models of eDNA concentration as an indicator of abundance in nature.
Organism abundance is a critical parameter in ecology, but its estimation is often challenging. Approaches utilizing eDNA to indirectly estimate abundance have recently generated substantial interest. However, preliminary correlations observed between eDNA concentration and abundance in nature are typically moderate in strength with significant unexplained variation. Here, we apply a novel approach to integrate allometric scaling coefficients into models of eDNA concentration and organism abundance. We hypothesize that eDNA particle production scales nonlinearly with mass, with scaling coefficients < 1. Wild populations often exhibit substantial variation in individual body size distributions; we therefore predict that the distribution of mass across individuals within a population will influence population-level eDNA production rates. To test our hypothesis, we collected standardized body size distribution and mark-recapture abundance data using whole-lake experiments involving nine populations of brook trout. We correlated eDNA concentration with three metrics of abundance: density (individuals/ha), biomass (kg/ha) and allometrically scaled mass (ASM) ( n-ary sumation (individual mass(0.73))/ha). Density and biomass were both significantly positively correlated with eDNA concentration (adj.r(2) = 0.59 and 0.63, respectively), but ASM exhibited improved model fit (adj.r(2) = 0.78). We also demonstrate how estimates of ASM derived from eDNA samples in unknown systems can be converted to biomass or density estimates with additional size-structure data. Future experiments should empirically validate allometric scaling coefficients for eDNA production, particularly where substantial intraspecific size distribution variation exists. Incorporating allometric scaling may improve predictive models to the extent that eDNA concentration may become a reliable indicator of abundance in nature.
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