4.7 Article

The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling

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

  1. Natural Sciences and Engineering Research Council of Canada
  2. Fonds de Recherche du Quebec - Nature et Technologies

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据