The Key to Power?

Raeymaekers, Dries; Derks, Sebastiaan

doi:10.1163/9789004304246

Cited by 29 publications

(1 citation statement)

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“…An alternative method to quantify the permeability of an obstacle from molecular data is simply to 87 measure the level of neutral genetic differentiation between populations located in the immediate 88 upstream and downstream vicinity of an obstacle ("adjacent sampling strategy"), an approach that 89 does not necessarily require large sample sizes or heavy computation: any drop in local functional 90 connectivity due to the creation of a barrier to gene flow is expected to translate into an increase in 91 neutral genetic differentiation (Raeymaekers et al, 2009). However, measures of genetic 92 differentiation may only be considered as correct estimates of barrier effects when comparing 93 obstacles of the same age and/or separating populations of similar effective size.…”

Section: Introduction 47mentioning

confidence: 99%

Quantifying the individual impact of artificial barriers in freshwaters: A standardized and absolute genetic index of fragmentation

Prunier

Poesy

Dubut³

et al. 2019

Preprint

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22Fragmentation by artificial barriers is an important threat to freshwater biodiversity. Mitigating the 23 negative aftermaths of fragmentation is of crude importance, and it is now essential for environmental 24 managers to benefit from a precise estimate of the individual impact of weirs and dams on river 25 connectivity. Although the indirect monitoring of connectivity using molecular data constitutes a 26 promising approach, it is still plagued with several constraints preventing a standardized and 27 individual quantification of barrier effects. Indeed, observed levels of genetic differentiation depend 28 on both the age of the obstacle and the effective size of the populations it separates, making difficult 29 comparisons among obstacles. Here, we developed a standardized index of genetic connectivity 30 (C INDEX ), allowing an absolute and independent assessment of the individual effects of obstacles on 31 connectivity. The C INDEX is the standardized ratio (expressed as a percentage) between the observed 32 genetic differentiation between pairs of populations located on either side of an obstacle and the 33 genetic differentiation expected if this obstacle completely prevented gene flow. The expected genetic 34 differentiation is calculated from simulations taking into account both the age of the barrier and the 35 effective size of the targeted populations. Using both simulated and published empirical datasets, we 36 explored and discussed the validity and the limits of the C INDEX . We demonstrated that it allows 37 quantifying genetic effects of fragmentation only a few generations after barrier creation and provides 38 valid comparisons among populations (or species) of different effective populations sizes and 39 obstacles of different ages. The computation of the C INDEX requires a minimum amount of fieldwork 40 and genotypic data, and solves some of the difficulties inherent to the study of artificial fragmentation 41 in rivers and potentially in other ecosystems. This makes the C INDEX a promising and objective tool for 42 managers aiming at restoring connectivity and at evaluating the efficiency of restoration programs. 43 44

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Section: Introduction 47mentioning

confidence: 99%