LEADER 00991nam a2200265 i 4500 001 991000077159707536 005 20020503113659.0 008 000503s1993 uk ||| | ||| 020 $a0500272018 035 $ab10025029-39ule_inst 035 $aocm00000159$9ExL 040 $aDip.to Beni Culturali$bita 100 1 $aBraunfels, Wolfgang$024635 245 10$aMonasteries of Western Europe :$bthe architecture of the orders /$cWolfgang Braunfels 260 $aLondon :$bThames and Hudson,$c1993 300 $a263 p. :$bill. ;$c28 cm 500 $aContiene bibliografia 650 4$aArchitettura sacra$zEuropa occidentale 650 4$aMonasteri$zEuropa occidentale 907 $a.b10025029$b21-09-06$c31-05-02 912 $a991000077159707536 945 $aLE001 AR XI 288$g1$i2001000005598$lle001$o-$pE0.00$q-$rl$s- $t0$u0$v0$w0$x0$y.i1002833x$z31-05-02 996 $aMonasteries of Western Europe$9178335 997 $aUNISALENTO 998 $ale001$b01-01-00$cm$da $e-$feng$guk $h0$i1 LEADER 04960nam 22006855 450 001 9910349345903321 005 20250609111438.0 010 $a9783030181871 010 $a3030181871 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(MiAaPQ)EBC6222868 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 $aStatistics for Biology and Health,$x2197-5671 311 08$a9783030181864 311 08$a3030181863 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 andgraduate students in ecology. Familiarity with basic statistical concepts is essential. 410 0$aStatistics for Biology and Health,$x2197-5671 606 $aStatistics 606 $aEcology 606 $aPopulation genetics 606 $aBiometry 606 $aAnimal migration 606 $aStatistical Theory and Methods 606 $aTheoretical and Statistical Ecology 606 $aPopulation Genetics 606 $aBiostatistics 606 $aAnimal Migration 615 0$aStatistics. 615 0$aEcology. 615 0$aPopulation genetics. 615 0$aBiometry. 615 0$aAnimal migration. 615 14$aStatistical Theory and Methods. 615 24$aTheoretical and Statistical Ecology. 615 24$aPopulation Genetics. 615 24$aBiostatistics. 615 24$aAnimal Migration. 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