2020
DOI: 10.1111/mec.15543
|View full text |Cite
|
Sign up to set email alerts
|

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

Abstract: 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 hypothesiz… Show more

Help me understand this report
View preprint versions

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

16
141
3

Year Published

2020
2020
2022
2022

Publication Types

Select...
7
1

Relationship

2
6

Authors

Journals

citations
Cited by 89 publications
(160 citation statements)
references
References 81 publications
16
141
3
Order By: Relevance
“…Maruyama et al. (2014) detected elevated levels of eDNA release per gram bodyweight in juvenile fish, and recently, allometrically scaled fish mass was found to best describe the relationship between eDNA signals and brook trout populations in lakes (Yates et al., 2020). In the present study, several scenarios can explain the difference in detection probability and signal strength: The P. phoxinus individuals, although mostly not juvenile, could indeed have had higher metabolic rates (Vinberg, 1960), which are common for smaller fish species (Clarke & Johnston, 1999).…”
Section: Discussionmentioning
confidence: 99%
“…Maruyama et al. (2014) detected elevated levels of eDNA release per gram bodyweight in juvenile fish, and recently, allometrically scaled fish mass was found to best describe the relationship between eDNA signals and brook trout populations in lakes (Yates et al., 2020). In the present study, several scenarios can explain the difference in detection probability and signal strength: The P. phoxinus individuals, although mostly not juvenile, could indeed have had higher metabolic rates (Vinberg, 1960), which are common for smaller fish species (Clarke & Johnston, 1999).…”
Section: Discussionmentioning
confidence: 99%
“…For studies investigating eDNA shedding directly from live animals, biomass will always be an influential and potentially confounding variable and should thus be considered carefully already during experimental design. Recently, the allometrically scaled mass was found to be the best index variable for describing eDNA concentrations in lakes (Yates et al, 2020); since excretion rate, metabolic rate and surface area all scale allometrically too (Brown et al, 2004;O'Shea et al, 2006;Vanni and McIntyre, 2016), future experiments could greatly benefit from the incorporation of this concept. For activity measurements via videotaping, fish length had to be used as an index variable.…”
Section: (A)mentioning
confidence: 99%
“…Under natural conditions, differences in fish physiology, diet, and behavior are likely to affect this process and confound the interpretation of eDNA-based results from a water body (Klymus et al, 2015). For perch and eel, Maruyama et al (2014) and Takeuchi et al (2019), respectively, found lower mass-specific eDNA shedding rates for adults in comparison to juveniles, which is likely caused by the scaling in metabolic rates, excretion rates, and surface area with body mass (discussed in Yates et al, 2020). However, these findings could not be confirmed in another experiment with a salmonid species (Mizumoto et al, 2018).…”
Section: Introductionmentioning
confidence: 99%
“…M. muelleri DNA appeared highly spread along the water column during both day and night, but exhibited remarkable abundance peaks during dark-time at 50 and 200 m depth. Although eDNA is to date not able to provide absolute biomass estimations, it is widely accepted that fish biomass and the amount of eDNA shed into the environment by fish are correlated (Klymus et al 2015;Salter et al 2019;Yates et al 2020). Also, it has been demonstrated that eDNA shedding rates are influenced by diet, feeding activity -being up to 10-fold times higher in fed fishes than in starving ones-and lifecycle stage of the individuals (Klymus et al 2015;Hansen et al 2018).…”
Section: Edna Can Infer Fish Diel Vertical Migratory Behaviormentioning
confidence: 99%