國立虎尾科技大學 |

Capture-Recapture: Parameter Estimation for Open Animal Populations

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Capture-Recapture: Parameter Estimation for Open Animal Populations/ by George A. F. Seber, Matthew R. Schofield.
作者:	Seber, George A. F.
其他作者:	Schofield, Matthew R.
面頁冊數:	XIX, 663 p. 15 illus.online resource. :
Contained By:	Springer Nature eBook
標題:	Statistics . -
電子資源:	https://doi.org/10.1007/978-3-030-18187-1
ISBN:	9783030181871

Capture-Recapture: Parameter Estimation for Open Animal Populations
Seber, George A. F.

Capture-Recapture: Parameter Estimation for Open Animal Populations[electronic resource] /by George A. F. Seber, Matthew R. Schofield. - 1st ed. 2019. - XIX, 663 p. 15 illus.online resource. - Statistics for Biology and Health,1431-8776. - Statistics for Biology and Health,.

Preface -- 1 A Brief History of Capture-Recapture -- 2 Tagging methods and Tag Loss -- 3 Tag Returns from Dead Animals -- 4 Using Releases and Resightings -- 5 Mark-Recapture: Basic Models -- 6 Multiple Recaptures: Further Methods -- 7 Departures from Model Assumptions -- 8 Combined Data Models -- 9 Further Bayesian and Monte Carlo Recapture Methods -- 10 Log-Linear Models for Multiple Recaptures -- 11 Combining Open and Closed Models -- 12 Continuous Dead-Recovery Models -- 13 Multisite and StateSpace Models -- 14 Designing and Modeling Capture-Recapture Experiments -- 15 Statistical Computation -- 16 Where to Now? -- APPENDIX A Some General Results -- References -- Index.

This comprehensive book, rich with applications, offers a quantitative framework for the analysis of the various capture-recapture models for open animal populations, while also addressing associated computational methods. The state of our wildlife populations provides a litmus test for the state of our environment, especially in light of global warming and the increasing pollution of our land, seas, and air. In addition to monitoring our food resources such as fisheries, we need to protect endangered species from the effects of human activities (e.g. rhinos, whales, or encroachments on the habitat of orangutans). Pests must be be controlled, whether insects or viruses, and we need to cope with growing feral populations such as opossums, rabbits, and pigs. Accordingly, we need to obtain information about a given population’s dynamics, concerning e.g. mortality, birth, growth, breeding, sex, and migration, and determine whether the respective population is increasing , static, or declining. There are many methods for obtaining population information, but the most useful (and most work-intensive) is generically known as “capture-recapture,” where we mark or tag a representative sample of individuals from the population and follow that sample over time using recaptures, resightings, or dead recoveries. Marks can be natural, such as stripes, fin profiles, and even DNA; or artificial, such as spots on insects. Attached tags can, for example, be simple bands or streamers, or more sophisticated variants such as radio and sonic transmitters. To estimate population parameters, sophisticated and complex mathematical models have been devised on the basis of recapture information and computer packages. This book addresses the analysis of such models. It is primarily intended for ecologists and wildlife managers who wish to apply the methods to the types of problems discussed above, though it will also benefit researchers and graduate students in ecology. Familiarity with basic statistical concepts is essential.

ISBN: 9783030181871

Standard No.: 10.1007/978-3-030-18187-1doiSubjects--Topical Terms:

1253516
Statistics .

LC Class. No.: QA276-280

Dewey Class. No.: 519.5

Capture-Recapture: Parameter Estimation for Open Animal Populations
LDR:04164nam a22004095i 4500 001 1006216
003 DE-He213
005 20200704131637.0
007 cr nn 008mamaa
008 210106s2019 gw | s |||| 0|eng d
020 $a 9783030181871 $9 978-3-030-18187-1
024 7 $a 10.1007/978-3-030-18187-1 $2 doi
035 $a 978-3-030-18187-1
050 4 $a QA276-280
072 7 $a PBT $2 bicssc
072 7 $a MAT029000 $2 bisacsh
072 7 $a PBT $2 thema
082 0 4 $a 519.5 $2 23
100 1 $a Seber, George A. F. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1299715
245 1 0 $a Capture-Recapture: Parameter Estimation for Open Animal Populations $h [electronic resource] / $c by George A. F. Seber, Matthew R. Schofield.
250 $a 1st ed. 2019.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a XIX, 663 p. 15 illus. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
490 1 $a Statistics for Biology and Health, $x 1431-8776
505 0 $a Preface -- 1 A Brief History of Capture-Recapture -- 2 Tagging methods and Tag Loss -- 3 Tag Returns from Dead Animals -- 4 Using Releases and Resightings -- 5 Mark-Recapture: Basic Models -- 6 Multiple Recaptures: Further Methods -- 7 Departures from Model Assumptions -- 8 Combined Data Models -- 9 Further Bayesian and Monte Carlo Recapture Methods -- 10 Log-Linear Models for Multiple Recaptures -- 11 Combining Open and Closed Models -- 12 Continuous Dead-Recovery Models -- 13 Multisite and StateSpace Models -- 14 Designing and Modeling Capture-Recapture Experiments -- 15 Statistical Computation -- 16 Where to Now? -- APPENDIX A Some General Results -- References -- Index.
520 $a This comprehensive book, rich with applications, offers a quantitative framework for the analysis of the various capture-recapture models for open animal populations, while also addressing associated computational methods. The state of our wildlife populations provides a litmus test for the state of our environment, especially in light of global warming and the increasing pollution of our land, seas, and air. In addition to monitoring our food resources such as fisheries, we need to protect endangered species from the effects of human activities (e.g. rhinos, whales, or encroachments on the habitat of orangutans). Pests must be be controlled, whether insects or viruses, and we need to cope with growing feral populations such as opossums, rabbits, and pigs. Accordingly, we need to obtain information about a given population’s dynamics, concerning e.g. mortality, birth, growth, breeding, sex, and migration, and determine whether the respective population is increasing , static, or declining. There are many methods for obtaining population information, but the most useful (and most work-intensive) is generically known as “capture-recapture,” where we mark or tag a representative sample of individuals from the population and follow that sample over time using recaptures, resightings, or dead recoveries. Marks can be natural, such as stripes, fin profiles, and even DNA; or artificial, such as spots on insects. Attached tags can, for example, be simple bands or streamers, or more sophisticated variants such as radio and sonic transmitters. To estimate population parameters, sophisticated and complex mathematical models have been devised on the basis of recapture information and computer packages. This book addresses the analysis of such models. It is primarily intended for ecologists and wildlife managers who wish to apply the methods to the types of problems discussed above, though it will also benefit researchers and graduate students in ecology. Familiarity with basic statistical concepts is essential.
650 0 $a Statistics . $3 1253516
650 0 $a Ecology . $3 1253481
650 0 $a Biomathematics. $3 527725
650 0 $a Biostatistics. $3 783654
650 0 $a Animal ecology. $3 677635
650 1 4 $a Statistical Theory and Methods. $3 671396
650 2 4 $a Theoretical Ecology/Statistics. $3 678528
650 2 4 $a Genetics and Population Dynamics. $3 670124
650 2 4 $a Statistics for Life Sciences, Medicine, Health Sciences. $3 670172
650 2 4 $a Animal Ecology. $3 668466
700 1 $a Schofield, Matthew R. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1299716
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030181864
776 0 8 $i Printed edition: $z 9783030181888
776 0 8 $i Printed edition: $z 9783030181895
830 0 $a Statistics for Biology and Health, $x 1431-8776 $3 1254965
856 4 0 $u https://doi.org/10.1007/978-3-030-18187-1
912 $a ZDB-2-SMA
912 $a ZDB-2-SXMS
950 $a Mathematics and Statistics (SpringerNature-11649)
950 $a Mathematics and Statistics (R0) (SpringerNature-43713)