DOI: 10.5061/dryad.r634p
title: Data from: Using genetic techniques to quantify reinvasion, survival and in-situ breeding rates during control/eradication operations

description: Determining the origin of individuals caught during a control/eradication
 program enables conservation managers to assess the reinvasion rates of
 their target species, and evaluate the level of success of their control
 methods. We examine how genetic techniques can focus management by
 distinguishing between hypotheses of ‘reinvasion’ and ‘survivor’, and
 defining kin groups for invasive stoats (Mustela erminea) on Secretary
 Island, New Zealand. 205 stoats caught on the island were genotyped at 16
 microsatellite loci, along with 40 stoats from the opposing mainland
 coast, and the age and sex was determined for each individual. Using these
 data we compare and combine a variety of genetic techniques including
 genetic clustering, population assignment, and kinship-based techniques to
 assess the origin of each stoat. The population history and individual
 movement could be described in fine detail, with results indicating that
 both in-situ survival and breeding, and reinvasion are occurring.
 Immigration to the island was found to be generally low, apart from in one
 year where around 8 stoats emigrated from the mainland. This increased
 immigration was probably linked to a stoat population spike on the
 mainland in that year, caused by a masting event of southern beech forest
 (Nothofagus sp.), and the subsequent rodent irruption. Our study provides
 an example of some of the ways genetic analyses can feed directly into
 informing management practices for invasive species.
description: Secretary Island &
 mainland stoat haplotypesMicrosatellite genotypes
 of the Secretary Island stoat population over time. This is formatted to
 be used as an input for the GeneChart R code. Column 1 = sample id, column
 2 = population, subsequent columns are the loci with microsatellite sizes.
 Population codes are: "Mainland" = mainland, y2005 = Secretary
 Island captures in 2005, y2006 = Secretary Island captures in 2006, etc.
 Missing values = 0. Allele names at the top of each column. Each locus has
 two columns, one for each allele, and the names are the locus name
 followed by .a1 and .a2 for allele one and allele two.Secretary-Genechart-input.csvGeneChart R codeThis is the R code for the GeneChart assignment used in the paper. The main commands are at the top. Select the Secretary-Genechart.input.csv as stoat.dat. Read in this R code using source(file.choose()). Plot the chart using the command: chart.func(stoat.dat, refpopnames=c("Mainland", "y2005"), include.pops=c("y2006", "y2007", "y2008","y2009")) title(main="..."). This code will then produce a GeneChart assignment using the Mainland and Secretary Island 2005 captures as reference populations, and attempt to assign subsequent Secretary Island captures (from 2006 - 2009) onto this chart. The reference populations and additional included populations can be modified in the command.RfuncSec-col.RSample description - (age,sex,location,time of capture)Sample number codes = Location - year of capture - month of capture - trap number, S(M) = mainland, SI=Secretary IslandAge - Sex data.xlsxSample dataThe age, sex, date of capture and location of capture is given for the stoat samples used in the study.