FN Archimer Export Format
PT J
TI Estimating effective population size of large marine populations, is it feasible?
BT 
AF MARANDEL, Florianne
   LORANCE, Pascal
   BERTHELE, Olivier
   TRENKEL, Verena
   WAPLES, Robin S.
   LAMY, Jean-Baptiste
AS 1:1;2:1;3:1;4:1;5:2;6:3;
FF 1:PDG-RBE-EMH;2:PDG-RBE-EMH;3:PDG-RBE-EMH;4:PDG-RBE-EMH;5:;6:PDG-RBE-SGMM-LGPMM;
C1 IFREMER, Ecol & Modeles Halieut, Nantes, France.
   NOAA, Northwest Fisheries Sci Ctr, Natl Marine Fisheries Serv, Seattle, WA USA.
   IFREMER, Genet & Pathol Mollusques Marin, La Tremblade, France.
C2 IFREMER, FRANCE
   NOAA, USA
   IFREMER, FRANCE
SI NANTES
   LA TREMBLADE
SE PDG-RBE-EMH
   PDG-RBE-SGMM-LGPMM
IN WOS Ifremer UPR
   copubli-int-hors-europe
IF 6.785
TC 44
UR https://archimer.ifremer.fr/doc/00470/58162/60678.pdf
LA English
DT Article
DE ;census population size;effective population size;fish;linkage disequilibrium;management;simulation
AB stainable exploitation of marine populations is a challenging task relying on information about their current and past abundance. Fisheries‐related data can be scarce and unreliable making them unsuitable for quantitative modelling. One fishery independent method that has attracted attention in this context consists in estimating the effective population size (Ne), a concept founded in population genetics. We reviewed recent empirical studies on Ne and carried out a simulation study to evaluate the feasibility of estimating Ne in large fish populations with the currently available methods. The detailed review of 26 studies found that published empirical Ne values were very similar despite differences in species and total population sizes (N). Genetic simulations for an age‐structured fish population were carried out for a range of population and samples sizes, and Ne was estimated using the Linkage Disequilibrium method. The results showed that already for medium‐sized populations (1 million individuals) and common sample sizes (50 individuals), negative estimates were likely to occur which for real applications is commonly interpreted as indicating very large (infinite) Ne. Moreover, on average, Ne estimates were negatively biased. The simulations further indicated that around 1% of the total number of individuals might have to be sampled to ensure sufficiently precise estimates of Ne. For large marine populations, this implies rather large samples (several thousands to millions of individuals). If however such large samples were to be collected, many more population parameters than only Ne could be estimated. 
PY 2019
PD JAN
SO Fish And Fisheries
SN 1467-2960
PU Wiley
VL 20
IS 1
UT 000454197900012
BP 189
EP 198
DI 10.1111/faf.12338
ID 58162
ER

EF