Literature DB >> 19480084

Estimating population size via sample coverage for closed capture-recapture models.

S M Lee1, A Chao.   

Abstract

A nonparametric estimation technique is proposed which uses the concept of sample coverage in order to estimate the size of a closed population for capture-recapture models where time, behavior, or heterogeneity may affect the capture probabilities. The technique also provides a unified approach to catch-effort models that allows for heterogeneity among removal probabilities. Real data examples are given for illustration. A simulation study investigates the behavior of the proposed procedure.

Mesh:

Year:  1994        PMID: 19480084

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  27 in total

1.  The relationship between species detection probability and local extinction probability.

Authors:  Russell Alpizar-Jara; James D Nichols; James E Hines; John R Sauer; Kenneth H Pollock; Christopher S Rosenberry
Journal:  Oecologia       Date:  2004-09-15       Impact factor: 3.225

2.  Phylogenetic analysis suggests that habitat filtering is structuring marine bacterial communities across the globe.

Authors:  Mikael Pontarp; Björn Canbäck; Anders Tunlid; Per Lundberg
Journal:  Microb Ecol       Date:  2012-07       Impact factor: 4.552

3.  Comparison of bacterial and fungal communities between natural and planted pine forests in subtropical China.

Authors:  Ming Nie; Han Meng; Ke Li; Jia-Rong Wan; Zhe-Xue Quan; Chang-Ming Fang; Jia-Kuan Chen; Bo Li
Journal:  Curr Microbiol       Date:  2011-10-13       Impact factor: 2.188

4.  Differences between bacterial communities in the gut of a soil-feeding termite (Cubitermes niokoloensis) and its mounds.

Authors:  Saliou Fall; Jérôme Hamelin; Farma Ndiaye; Komi Assigbetse; Michel Aragno; Jean Luc Chotte; Alain Brauman
Journal:  Appl Environ Microbiol       Date:  2007-06-15       Impact factor: 4.792

5.  Diversity and antibacterial activity of the bacterial communities associated with two Mediterranean sea pens, Pennatula phosphorea and Pteroeides spinosum (Anthozoa: Octocorallia).

Authors:  E M D Porporato; A Lo Giudice; L Michaud; E De Domenico; N Spanò
Journal:  Microb Ecol       Date:  2013-07-02       Impact factor: 4.552

6.  Biodiversity of air-borne microorganisms at Halley Station, Antarctica.

Authors:  David A Pearce; K A Hughes; T Lachlan-Cope; S A Harangozo; A E Jones
Journal:  Extremophiles       Date:  2010-01-21       Impact factor: 2.395

7.  Density and community structure of soil- and bark-dwelling microarthropods along an altitudinal gradient in a tropical montane rainforest.

Authors:  Jens Illig; Roy A Norton; Stefan Scheu; Mark Maraun
Journal:  Exp Appl Acarol       Date:  2010-03-13       Impact factor: 2.132

8.  An integrated catalog of reference genes in the human gut microbiome.

Authors:  Junhua Li; Huijue Jia; Xianghang Cai; Huanzi Zhong; Qiang Feng; Shinichi Sunagawa; Manimozhiyan Arumugam; Jens Roat Kultima; Edi Prifti; Trine Nielsen; Agnieszka Sierakowska Juncker; Chaysavanh Manichanh; Bing Chen; Wenwei Zhang; Florence Levenez; Juan Wang; Xun Xu; Liang Xiao; Suisha Liang; Dongya Zhang; Zhaoxi Zhang; Weineng Chen; Hailong Zhao; Jumana Yousuf Al-Aama; Sherif Edris; Huanming Yang; Jian Wang; Torben Hansen; Henrik Bjørn Nielsen; Søren Brunak; Karsten Kristiansen; Francisco Guarner; Oluf Pedersen; Joel Doré; S Dusko Ehrlich; Peer Bork; Jun Wang
Journal:  Nat Biotechnol       Date:  2014-07-06       Impact factor: 54.908

9.  Effects of Hypoxia on the Phylogenetic Composition and Species Distribution of Protists in a Subtropical Harbor.

Authors:  Emma Rocke; Hongmei Jing; Xiaomin Xia; Hongbin Liu
Journal:  Microb Ecol       Date:  2016-03-15       Impact factor: 4.552

10.  A method for studying protistan diversity using massively parallel sequencing of V9 hypervariable regions of small-subunit ribosomal RNA genes.

Authors:  Linda A Amaral-Zettler; Elizabeth A McCliment; Hugh W Ducklow; Susan M Huse
Journal:  PLoS One       Date:  2009-07-27       Impact factor: 3.240

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