7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: not found

      A genetic analogue of 'mark-recapture' methods for estimating population size: an approach based on molecular parentage assessments.

      1 , , ,
      Molecular ecology

      Read this article at

      ScienceOpenPubMed
      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Molecular polymorphisms have been used in a variety of ways to estimate both effective and local census population sizes in nature. A related approach for estimating the current size of a breeding population, explored here for the first time, is the use of genetic 'marks' reconstructed for otherwise unknown parents in paternity or maternity analyses of progeny arrays. This method provides interesting similarities and contrasts to traditional mark-recapture methods based on physical tags. To illustrate, this genetic method is applied to a population of painted turtles on the Mississippi River to estimate the number of successfully breeding males. Non-genetic mark-recapture approaches were also applied to animals trapped at this location. Results demonstrate that such genetic data on parentage can be helpful not only in estimating contemporary population sizes, but also in providing additional information, not present in customary mark-recapture data, about possible extended movements of breeding individuals and the size of the pool of mates which they encounter.

          Related collections

          Author and article information

          Journal
          Mol. Ecol.
          Molecular ecology
          0962-1083
          0962-1083
          Nov 2001
          : 10
          : 11
          Affiliations
          [1 ] Department of Genetics, University of Georgia, Athens, USA. dep36@email.byu.edu
          Article
          1391
          11883884
          7286ba2c-c2bb-402b-9e4f-fa4a28ec95c4
          History

          Comments

          Comment on this article