@ARTICLE{Puechmaille2007,
  author = {Puechmaille, Sebastien J and Petit, Eric J},
  title = {Empirical evaluation of non-invasive capture-mark-recapture estimation
	of population size based on a single sampling session},
  journal = {Journal of Applied Ecology},
  year = {2007},
  volume = {44},
  pages = {843-852},
  number = {4},
  abstract = { Summary 1. Non-invasive genetic data analysed with capture-mark-recapture
	(CMR) models can be used to estimate population size, particularly
	for elusive and endangered species. Data generated from non-invasive
	genetic sampling are different, however, from conventional CMR data
	because individuals can be contacted several times within a single
	sampling session. Two methods have been proposed recently to accommodate
	this type of data, but no study has attempted to compare their estimates
	and evaluate their reliability compared with independent estimates
	of population size. 2. We investigated the reliability and accuracy
	of estimating the abundance of lesser horseshoe bats Rhinolophus
	hipposideros by genotyping DNA from droppings collected non-invasively
	at three colonies over 2 consecutive years. The number of times that
	each individual was 'contacted' (i.e. the number of droppings per
	individual) was used to estimate population size with two different
	published methods: a maximum likelihood and a Bayesian estimator.
	3. Among the 586 samples extracted, 534 provided a complete genotype
	at six to eight microsatellite loci, which enabled a reliable discrimination
	of 165 individuals. Statistical estimates of colony sizes often included
	independent estimates obtained from visual counts, validating the
	method. Discrepancies appeared when capture heterogeneity was not
	taken into account while it occurred. 4. Synthesis and applications.
	We have taken a first step towards improving methods of estimating
	numbers of bats by demonstrating that genetic data produced from
	bat faecal DNA are of high quality and can provide accurate estimates
	of population size even when samples are taken during only one sampling
	session. Such protocols provide valuable management tools for elusive
	and rare species in general. The method is relatively easy and cost-efficient
	because only one sampling session is required. Journal of Applied
	Ecology (2007) 44, 843-852 doi: 10.1111/j.1365-2664.2007.01321.x},
  doi = {10.1111/j.1365-2664.2007.01321.x},
  eprint = {http://www.blackwell-synergy.com/doi/pdf/10.1111/j.1365-2664.2007.01321.x},
  file = {:Puechmaille& Petit2013.pdf:PDF},
  owner = {Tiago},
  subdatabase = {Other},
  timestamp = {2007.07.02},
  url = {http://www.blackwell-synergy.com/doi/abs/10.1111/j.1365-2664.2007.01321.x}
}

{"_id":"XkF3dsgqCgB3GKwYY","bibbaseid":"puechmaille-petit-empiricalevaluationofnoninvasivecapturemarkrecaptureestimationofpopulationsizebasedonasinglesamplingsession-2007","authorIDs":[],"author_short":["Puechmaille, S. J","Petit, E. J"],"bibdata":{"bibtype":"article","type":"article","author":[{"propositions":[],"lastnames":["Puechmaille"],"firstnames":["Sebastien","J"],"suffixes":[]},{"propositions":[],"lastnames":["Petit"],"firstnames":["Eric","J"],"suffixes":[]}],"title":"Empirical evaluation of non-invasive capture-mark-recapture estimation of population size based on a single sampling session","journal":"Journal of Applied Ecology","year":"2007","volume":"44","pages":"843-852","number":"4","abstract":"Summary 1. Non-invasive genetic data analysed with capture-mark-recapture (CMR) models can be used to estimate population size, particularly for elusive and endangered species. Data generated from non-invasive genetic sampling are different, however, from conventional CMR data because individuals can be contacted several times within a single sampling session. Two methods have been proposed recently to accommodate this type of data, but no study has attempted to compare their estimates and evaluate their reliability compared with independent estimates of population size. 2. We investigated the reliability and accuracy of estimating the abundance of lesser horseshoe bats Rhinolophus hipposideros by genotyping DNA from droppings collected non-invasively at three colonies over 2 consecutive years. The number of times that each individual was 'contacted' (i.e. the number of droppings per individual) was used to estimate population size with two different published methods: a maximum likelihood and a Bayesian estimator. 3. Among the 586 samples extracted, 534 provided a complete genotype at six to eight microsatellite loci, which enabled a reliable discrimination of 165 individuals. Statistical estimates of colony sizes often included independent estimates obtained from visual counts, validating the method. Discrepancies appeared when capture heterogeneity was not taken into account while it occurred. 4. Synthesis and applications. We have taken a first step towards improving methods of estimating numbers of bats by demonstrating that genetic data produced from bat faecal DNA are of high quality and can provide accurate estimates of population size even when samples are taken during only one sampling session. Such protocols provide valuable management tools for elusive and rare species in general. The method is relatively easy and cost-efficient because only one sampling session is required. Journal of Applied Ecology (2007) 44, 843-852 doi: 10.1111/j.1365-2664.2007.01321.x","doi":"10.1111/j.1365-2664.2007.01321.x","eprint":"http://www.blackwell-synergy.com/doi/pdf/10.1111/j.1365-2664.2007.01321.x","file":":Puechmaille& Petit2013.pdf:PDF","owner":"Tiago","subdatabase":"Other","timestamp":"2007.07.02","url":"http://www.blackwell-synergy.com/doi/abs/10.1111/j.1365-2664.2007.01321.x","bibtex":"@ARTICLE{Puechmaille2007,\r\n author = {Puechmaille, Sebastien J and Petit, Eric J},\r\n title = {Empirical evaluation of non-invasive capture-mark-recapture estimation\r\n\tof population size based on a single sampling session},\r\n journal = {Journal of Applied Ecology},\r\n year = {2007},\r\n volume = {44},\r\n pages = {843-852},\r\n number = {4},\r\n abstract = { Summary 1. Non-invasive genetic data analysed with capture-mark-recapture\r\n\t(CMR) models can be used to estimate population size, particularly\r\n\tfor elusive and endangered species. Data generated from non-invasive\r\n\tgenetic sampling are different, however, from conventional CMR data\r\n\tbecause individuals can be contacted several times within a single\r\n\tsampling session. Two methods have been proposed recently to accommodate\r\n\tthis type of data, but no study has attempted to compare their estimates\r\n\tand evaluate their reliability compared with independent estimates\r\n\tof population size. 2. We investigated the reliability and accuracy\r\n\tof estimating the abundance of lesser horseshoe bats Rhinolophus\r\n\thipposideros by genotyping DNA from droppings collected non-invasively\r\n\tat three colonies over 2 consecutive years. The number of times that\r\n\teach individual was 'contacted' (i.e. the number of droppings per\r\n\tindividual) was used to estimate population size with two different\r\n\tpublished methods: a maximum likelihood and a Bayesian estimator.\r\n\t3. Among the 586 samples extracted, 534 provided a complete genotype\r\n\tat six to eight microsatellite loci, which enabled a reliable discrimination\r\n\tof 165 individuals. Statistical estimates of colony sizes often included\r\n\tindependent estimates obtained from visual counts, validating the\r\n\tmethod. Discrepancies appeared when capture heterogeneity was not\r\n\ttaken into account while it occurred. 4. Synthesis and applications.\r\n\tWe have taken a first step towards improving methods of estimating\r\n\tnumbers of bats by demonstrating that genetic data produced from\r\n\tbat faecal DNA are of high quality and can provide accurate estimates\r\n\tof population size even when samples are taken during only one sampling\r\n\tsession. Such protocols provide valuable management tools for elusive\r\n\tand rare species in general. The method is relatively easy and cost-efficient\r\n\tbecause only one sampling session is required. Journal of Applied\r\n\tEcology (2007) 44, 843-852 doi: 10.1111/j.1365-2664.2007.01321.x},\r\n doi = {10.1111/j.1365-2664.2007.01321.x},\r\n eprint = {http://www.blackwell-synergy.com/doi/pdf/10.1111/j.1365-2664.2007.01321.x},\r\n file = {:Puechmaille& Petit2013.pdf:PDF},\r\n owner = {Tiago},\r\n subdatabase = {Other},\r\n timestamp = {2007.07.02},\r\n url = {http://www.blackwell-synergy.com/doi/abs/10.1111/j.1365-2664.2007.01321.x}\r\n}\r\n\r\n","author_short":["Puechmaille, S. J","Petit, E. 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