LEADER 04295nam 2200565Ia 450 001 9910739467903321 005 20200520144314.0 010 $a3-642-36555-8 024 7 $a10.1007/978-3-642-36555-3 035 $a(CKB)2670000000388639 035 $a(EBL)1317522 035 $a(SSID)ssj0000923935 035 $a(PQKBManifestationID)11511472 035 $a(PQKBTitleCode)TC0000923935 035 $a(PQKBWorkID)10870644 035 $a(PQKB)10255120 035 $a(DE-He213)978-3-642-36555-3 035 $a(MiAaPQ)EBC1317522 035 $a(iGPub)SPNA0028091 035 $a(PPN)170490998 035 $a(EXLCZ)992670000000388639 100 $a20111102d2013 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aEuropean bison $ethe nature monograph /$fMalgorzata Krasinska 205 $a2nd ed. 210 $aBerlin ;$aHeidelberg $cSpringer-Verlag$d2013 215 $a1 online resource (379 p.) 300 $aDescription based upon print version of record. 311 $a3-642-42907-6 311 $a3-642-36554-X 320 $aIncludes bibliographical references. 327 $aForeword.- Acknowledgements.- 1. Introduction -- 2. Systematics, registration and nomenclature -- 3. Morphology and longevity -- 4. Genetics.- 5. The original range of the species Bison bonasus (L.) -- 6. The European bison and the aurochs on Polish territory -- 7. The natural population of Lowland European bison in the Bia?owie?a  Forest -- 8. The  restitution of the European bison in enclosures within the Bia?owie?a Forest.- 9. European bison in the Bia?owie?a Forest ?  a characterisation of the environment -- 10. The restitution of a free-ranging  bison population in the Bia?owie?a Forest -- 11. The rhythm to bison activity -- 12. Reproduction -- 13. Behaviour patterns -- 14. Food and use of the environment.- 15. Social organisation of the population -- 16. The spatial structure of populations -- 17. Population management -- 18. The significance of the Bia?owie?a bison for the preservation and recognition of the species Bison bonasus -- 19. Threats to the species Bison bonasus -- 20. Bison as protected animals -- 21. Cooperation over the restitution of the European bison in the Bia?owie?a Forest -- 22. The restitution of bison in captive breeding  in Poland -- 23. Restitution of free-ranging populations around the world -- 24. Hybrids between the European bison and domestic cattle -- 25. American bison a close relative of European bison. . 330 $aThe mighty and majestic European bison is the relictual embodiment of the wildness of prehistoric Europe. Tragically, the millennia since that time have seen so many species driven to extinction by human impacts, and the European bison has only narrowly avoided the same fate. Today, the species represents the symbolic sentinel of successful conservation actions in a world in which such achievements remain few and far between. From an early stage in the restitution of the European bison, husband-and-wife team Ma?gorzata Krasi?ska and Zbigniew A. Krasi?ski have been participating in relevant management initiatives and researching all facets of the bison, from its morphology and diet, to its movements, social life and reproduction, and the conservation management actions that have been taken to save it. Now they have summarised this wealth of knowledge on the species, giving rise to a publication ideal for students, professional biologists and conservationists, but also for all nature enthusiasts. This new edition of the monograph offers extensively updated content taking into account research carried out on the European bison in the last few years. Also featured, a new chapter devoted to knowledge of the genetics of the species drawn up by Ma?gorzata Tokarska of the Bia?owie?a-based Mammal Research Institute PAS. 606 $aEuropean bison 606 $aBison$zEurope 615 0$aEuropean bison. 615 0$aBison 676 $a599.643 700 $aKrasinska$b Magorzata$01424381 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910739467903321 996 $aEuropean Bison$93553546 997 $aUNINA LEADER 04274nam 22006255 450 001 9910483763303321 005 20200702025554.0 010 $a3-030-03359-7 024 7 $a10.1007/978-3-030-03359-0 035 $a(CKB)4100000007204729 035 $a(MiAaPQ)EBC5613423 035 $a(DE-He213)978-3-030-03359-0 035 $a(PPN)24376751X 035 $a(EXLCZ)994100000007204729 100 $a20181211d2019 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aCloud Computing for Geospatial Big Data Analytics $eIntelligent Edge, Fog and Mist Computing /$fedited by Himansu Das, Rabindra K. Barik, Harishchandra Dubey, Diptendu Sinha Roy 205 $a1st ed. 2019. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019. 215 $a1 online resource (294 pages) 225 1 $aStudies in Big Data,$x2197-6503 ;$v49 311 $a3-030-03358-9 320 $aIncludes bibliographical references. 327 $aBig Data Scientific Workflows in the Cloud: Challenges and Future Prospects -- Trust Model based Scheduling of Stochastic Workflows in Cloud and Fog Computing -- Trust-Based Access control in Cloud Computing using Machine Learning -- Cloud Security Ontology (CSO) -- Cloud Based Supply Chain Networks ? Principles and Practices -- Parallel Computation of a MMDBM algorithm on GPU mining with Big data -- Data Analytics of IoT Enabled Smart Energy Meter in Smart Cities -- A New and Secure Intrusion Detecting system for Detection of Anomalies within the Big Data -- Geospatial Big Data, Analytics and IoT: Challenges, Applications and Potential -- Geocloud4GI: Cloud SDI Model for Geographical Indications Information Infrastructure Network -- The Role of Geospatial Technology with IoT for Precision Agriculture. 330 $aThis book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which researchers from industry and academia have been attempting to solve in virtual environments. Some of these problems are of an intractable nature and so efficient technologies like fog, edge and mist computing play an important role in addressing these issues. By exploring emerging advances in cloud computing and big data analytics and their engineering applications, the book enables researchers to understand the mechanisms needed to implement cloud, edge, fog, and mist computing in their own endeavours, and motivates them to examine their own research findings and developments. 410 0$aStudies in Big Data,$x2197-6503 ;$v49 606 $aComputational intelligence 606 $aArtificial intelligence 606 $aGeographic information systems 606 $aBig data 606 $aComputational Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/T11014 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aGeographical Information Systems/Cartography$3https://scigraph.springernature.com/ontologies/product-market-codes/J13000 606 $aBig Data$3https://scigraph.springernature.com/ontologies/product-market-codes/I29120 615 0$aComputational intelligence. 615 0$aArtificial intelligence. 615 0$aGeographic information systems. 615 0$aBig data. 615 14$aComputational Intelligence. 615 24$aArtificial Intelligence. 615 24$aGeographical Information Systems/Cartography. 615 24$aBig Data. 676 $a004.6782 702 $aDas$b Himansu$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aBarik$b Rabindra K$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDubey$b Harishchandra$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aRoy$b Diptendu Sinha$4edt$4http://id.loc.gov/vocabulary/relators/edt 906 $aBOOK 912 $a9910483763303321 996 $aCloud Computing for Geospatial Big Data Analytics$92850384 997 $aUNINA