Capwire: a R package for estimating population census size from non-invasive genetic sampling

被引:59
|
作者
Pennell, Matthew W. [1 ,2 ]
Stansbury, Carisa R. [3 ]
Waits, Lisette P. [1 ,3 ]
Miller, Craig R. [1 ,2 ,4 ]
机构
[1] Univ Idaho, Inst Bioinformat & Evolutionary Studies IBEST, Moscow, ID 83844 USA
[2] Univ Idaho, Dept Biol Sci, Moscow, ID 83844 USA
[3] Univ Idaho, Dept Fish & Wildlife Sci, Moscow, ID 83844 USA
[4] Univ Idaho, Dept Math, Moscow, ID 83844 USA
关键词
mark-recapture; non-invasive genetic sampling; population size; wildlife management; MARK; RECOMMENDATIONS; MANAGEMENT; COLLECTION;
D O I
10.1111/1755-0998.12019
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
Non-invasive genetic sampling is an increasingly popular approach for investigating the demographics of natural populations. This has also become a useful tool for managers and conservation biologists, especially for those species for which traditional markrecapture studies are not practical. However, the consequence of collecting DNA indirectly is that an individual may be sampled multiple times per sampling session. This requires alternative statistical approaches to those used in traditional markrecapture studies. Here we present the R package capwire, an implementation of the population size estimators of Miller etal. (Molecular Ecology 2005; 14: 1991), which were designed to deal specifically with this type of sampling. The aim of this project is to enable users across platforms to easily manipulate their data and interact with existing R packages. We have also provided functions to simulate data under a variety of scenarios to allow for rigorous testing of the robustness of the method and to facilitate further development of this approach.
引用
收藏
页码:154 / 157
页数:4
相关论文
共 50 条
  • [1] Evaluation of non-invasive genetic sampling methods for estimating tiger population size
    Mondol, Samrat
    Karanth, K. Ullas
    Kumar, N. Samba
    Gopalaswamy, Arjun M.
    Andheria, Anish
    Ramakrishnan, Uma
    [J]. BIOLOGICAL CONSERVATION, 2009, 142 (10) : 2350 - 2360
  • [2] Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling
    Ebert, Cornelia
    Sandrini, Julian
    Welter, Bettina
    Thiele, Bernhard
    Hohmann, Ulf
    [J]. EUROPEAN JOURNAL OF WILDLIFE RESEARCH, 2021, 67 (02)
  • [3] Estimating red deer (Cervus elaphus) population size based on non-invasive genetic sampling
    Cornelia Ebert
    Julian Sandrini
    Bettina Welter
    Bernhard Thiele
    Ulf Hohmann
    [J]. European Journal of Wildlife Research, 2021, 67
  • [4] Non-invasive genetic sampling
    Taberlet, P
    Waits, LP
    [J]. TRENDS IN ECOLOGY & EVOLUTION, 1998, 13 (01) : 26 - 27
  • [5] Lessons from the use of non-invasive genetic sampling as a way to estimate Eurasian otter population size and sex ratio
    Laura Bonesi
    Marie Hale
    David W. Macdonald
    [J]. Acta Theriologica, 2013, 58 : 157 - 168
  • [6] Lessons from the use of non-invasive genetic sampling as a way to estimate Eurasian otter population size and sex ratio
    Bonesi, Laura
    Hale, Marie
    Macdonald, David W.
    [J]. ACTA THERIOLOGICA, 2013, 58 (02): : 157 - 168
  • [7] Importance of a pilot study for non-invasive genetic sampling: genotyping errors and population size estimation in red deer
    Nathaniel Valière
    Christophe Bonenfant
    Carole Toïgo
    Gordon Luikart
    Jean-Michel Gaillard
    François Klein
    [J]. Conservation Genetics, 2007, 8 : 69 - 78
  • [8] Importance of a pilot study for non-invasive genetic sampling:: genotyping errors and population size estimation in red deer
    Valiere, Nathaniel
    Bonenfant, Christophe
    Toigo, Carole
    Luikart, Gordon
    Gaillard, Jean-Michel
    Klein, Francois
    [J]. CONSERVATION GENETICS, 2007, 8 (01) : 69 - 78
  • [9] Non-invasive genetic sampling and individual identification
    Taberlet, P
    Luikart, G
    [J]. BIOLOGICAL JOURNAL OF THE LINNEAN SOCIETY, 1999, 68 (1-2) : 41 - 55
  • [10] A new non-invasive in situ underwater DNA sampling method for estimating genetic diversity
    Balazs, Gergely
    Voros, Judit
    Lewarne, Brian
    Herczeg, Gabor
    [J]. EVOLUTIONARY ECOLOGY, 2020, 34 (04) : 633 - 644