The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling
The relationship between eDNA particle concentration and organism abundance in nature is strengthened by allometric scaling
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异速生长增强了 eDNA 颗粒浓度与自然界生物体丰度之间的关系
作者：
M. Yates;D. Glaser;J. Post;M. Cristescu;D. Fraser;A. Derry
生物丰度是生态学中的一个关键参数，但其估计往往具有挑战性。利用eDNA间接估计丰度的方法最近引起了极大的兴趣。然而，在自然界中观察到的eDNA浓度和丰度之间的初步相关性通常强度适中，具有显著的无法解释的变化。在这里，我们采用了一种新的方法，将异速生长的比例系数模型的eDNA浓度和生物丰度。我们假设eDNA颗粒的产生与质量成非线性比例，比例系数< 1。野生种群通常在个体体型分布上表现出很大的差异;因此，我们预测种群内个体间的质量分布将影响种群水平的eDNA生产率。为了验证我们的假设，我们收集了标准化的身体大小分布和标记-再捕获丰度数据，使用全湖实验，涉及9个种群的溪鳟。我们将eDNA浓度与三个丰度指标相关联：密度（个体/公顷），生物量（kg/公顷）和异速生长标度质量（ASM）（∑（个体质量0.73）/公顷）。密度和生物量均与eDNA浓度呈显著正相关（adj. r2 = 0.59和0.63，分别），但ASM表现出改进的模型拟合（adj. r2 = 0.78）。我们还展示了如何在“未知”系统中从eDNA样品中获得的ASM估计值可以转换为具有额外尺寸结构数据的生物量或密度估计值。未来的实验应经验验证异速生长缩放系数eDNA生产，特别是在大量种内大小分布的变化存在。异速生长标度可以改善预测模型，使eDNA浓度可以成为自然界丰度的可靠指标。
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) (∑(individual mass0.73)/ha). Density and biomass were both significantly positively correlated with eDNA concentration (adj. r2 = 0.59 and 0.63, respectively), but ASM exhibited improved model fit (adj. r2 = 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.
影响因子：
8.8
作者：
Isaac, Nick J. B.;Carbone, Chris
通讯作者：
Carbone, Chris