LEADER 05488nam 22006735 450 001 9910349345903321 005 20200704131637.0 010 $a3-030-18187-1 024 7 $a10.1007/978-3-030-18187-1 035 $a(CKB)4100000008959025 035 $a(MiAaPQ)EBC5851276 035 $a(DE-He213)978-3-030-18187-1 035 $a(PPN)269153071 035 $a(EXLCZ)994100000008959025 100 $a20190813d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCapture-Recapture: Parameter Estimation for Open Animal Populations /$fby George A. F. Seber, Matthew R. Schofield 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (669 pages) 225 1 $aStatistics for Biology and Health,$x1431-8776 311 $a3-030-18186-3 320 $aIncludes bibliographical references and index. 327 $aPreface -- 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. 330 $aThis 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. 410 0$aStatistics for Biology and Health,$x1431-8776 606 $aStatistics  606 $aEcology  606 $aBiomathematics 606 $aBiostatistics 606 $aAnimal ecology 606 $aStatistical Theory and Methods$3https://scigraph.springernature.com/ontologies/product-market-codes/S11001 606 $aTheoretical Ecology/Statistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L19147 606 $aGenetics and Population Dynamics$3https://scigraph.springernature.com/ontologies/product-market-codes/M31010 606 $aStatistics for Life Sciences, Medicine, Health Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/S17030 606 $aBiostatistics$3https://scigraph.springernature.com/ontologies/product-market-codes/L15020 606 $aAnimal Ecology$3https://scigraph.springernature.com/ontologies/product-market-codes/L19015 615 0$aStatistics . 615 0$aEcology . 615 0$aBiomathematics. 615 0$aBiostatistics. 615 0$aAnimal ecology. 615 14$aStatistical Theory and Methods. 615 24$aTheoretical Ecology/Statistics. 615 24$aGenetics and Population Dynamics. 615 24$aStatistics for Life Sciences, Medicine, Health Sciences. 615 24$aBiostatistics. 615 24$aAnimal Ecology. 676 $a591.524 700 $aSeber$b George A. F$4aut$4http://id.loc.gov/vocabulary/relators/aut$01058331 702 $aSchofield$b Matthew R$4aut$4http://id.loc.gov/vocabulary/relators/aut 906 $aBOOK 912 $a9910349345903321 996 $aCapture-Recapture: Parameter Estimation for Open Animal Populations$92499264 997 $aUNINA