LEADER 00809nam0-22002891i-450- 001 990001332850403321 010 $a0-444-88355-X 035 $a000133285 035 $aFED01000133285 035 $a(Aleph)000133285FED01 035 $a000133285 100 $a20000920d1995----km-y0itay50------ba 101 0 $aeng 200 1 $aHandbook of incidence geometry$eBuildings and foundations$fF. Buekenhout. 210 $aAmsterdam$cElsevier$dc1995. 215 $axi, 1420 p.$d24 cm 610 0 $aGeometria proiettiva$aManuali 676 $a516.12 700 1$aBuekenhout,$bF.$060643 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001332850403321 952 $a122-A-38$b13852$fMA1 959 $aMA1 996 $aHandbook of incidence geometry$9375941 997 $aUNINA DB $aING01 LEADER 06014nam 2200865Ia 450 001 9910811045203321 005 20200520144314.0 010 $a9786613373991 010 $a9780470979556 010 $a0470979550 010 $a9781283373999 010 $a1283373998 010 $a9780470979341 010 $a0470979348 010 $a9780470979334 010 $a047097933X 035 $a(CKB)3400000000000316 035 $a(EBL)661785 035 $a(OCoLC)705353429 035 $a(SSID)ssj0000476992 035 $a(PQKBManifestationID)11320080 035 $a(PQKBTitleCode)TC0000476992 035 $a(PQKBWorkID)10502000 035 $a(PQKB)10951511 035 $a(MiAaPQ)EBC661785 035 $a(Au-PeEL)EBL661785 035 $a(CaPaEBR)ebr10510652 035 $a(CaONFJC)MIL337399 035 $a(OCoLC)671491666 035 $a(FINmELB)ELB179623 035 $a(Perlego)1010424 035 $a(EXLCZ)993400000000000316 100 $a20101018d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aImproving natural resource management $eecological and political models /$fTimothy Haas 205 $a1st ed. 210 $aChichester, West Sussex $cJohn Wiley & Sons Inc.$d2011 215 $a1 online resource (274 p.) 225 1 $aStatistics in practice 300 $aDescription based upon print version of record. 311 08$a9780470661130 311 08$a0470661135 320 $aIncludes bibliographical references and index. 327 $aImproving Natural Resource Management: Ecological and Political Models; CONTENTS; Preface; List of Figures; List of Tables; Nomenclature; Part I: MANAGING A POLITICAL-ECOLOGICAL SYSTEM; 1 Introduction; 1.1 The problem to be addressed; 1.2 The book's running example: East African cheetah; 1.2.1 Background; 1.3 The EMT simulator; 1.3.1 Characteristics of an ideal simulator; 1.4 How to use the EMT to manage an ecosystem; 1.4.1 Ecosystem state goals; 1.4.2 No valuation of ecosystem services; 1.5 Chapter topics and order; 1.6 The book's accompanying web resources 327 $a2 Simulator architecture, operation, and example output2.1 Introduction; 2.2 Theory for agent-based simulation; 2.2.1 Other agent-based social system simulators; 2.3 Action messages and IntIDs model operation; 2.3.1 Input-output nomenclature; 2.3.2 ID basics; 2.3.3 Example of a group ID simulating an ecosystem management decision; 2.3.4 IntIDs model operation; 2.4 A plot for displaying an actions history; 2.4.1 Plot description; 2.4.2 Vertical axis labels; 2.4.3 Example: output from the East African cheetah EMTsimulator; 2.5 Conclusions; 2.6 Exercises; 3 Blue whale populationmanagement 327 $a3.1 Introduction3.1.1 Blue whale facts; 3.1.2 Some terminology; 3.2 Current status of blue whales; 3.2.1 Blue whale prevalence over the past 500 years; 3.2.2 Ecosystems to which blue whales belong; 3.2.3 Current causes of blue whale mortality; 3.3 Groups that affect blue whale populations; 3.3.1 Anti-whaling complex of the USA; 3.3.2 Pro-whaling complex of Iceland; 3.3.3 Pro-whaling complex of Japan; 3.3.4 Pro-whaling complex of Norway; 3.3.5 IWC; 3.4 Blue whale ecosystem ID; 3.4.1 Models of whale population dynamics; 3.4.2 A continuous-time model; 3.4.3 ID; 3.5 Interactions between IDs 327 $a3.6 Data sets for the blue whale EMT3.6.1 Group actions data; 3.6.2 Blue whale prevalence data; 3.7 Main points of this chapter's example; 3.8 Exercises; 4 Finding the most practical ecosystem management plan; 4.1 Introduction; 4.2 Some methods for developing ecosystem management plans; 4.2.1 Leadbeater's possum; 4.2.2 Ecological/economic modeling; 4.2.3 Adaptive management; 4.2.4 MPEMP compared to these methods; 4.3 Overview of the consistency analysis parameter estimator; 4.3.1 Agreement functions; 4.4 The MPEMP: definition and construction; 4.4.1 Definition 327 $a4.4.2 MPEMP construction procedure4.5 The MPEMP for East African cheetah; 4.5.1 Setup and computation; 4.6 Conclusions; 4.7 Exercises; 5 An open, web-based ecosystem management tool; 5.1 Introduction; 5.2 Components of a politically realistic EMT; 5.2.1 User interface; 5.2.2 Data collection; 5.2.3 Actions history plots; 5.2.4 EMT website architecture; 5.3 id language and software system; 5.3.1 Language overview; 5.3.2 id language file example; 5.3.3 Descriptions of influence diagram and node; 5.3.4 Description of context; 5.3.5 Description of report; 5.3.6 Structure of id language file 327 $a5.3.7 Structure of a surface file 330 $aThe decision to implement environmental protection options is a political one. These, and other political and social decisions affect the balance of the ecosystem and how the point of equilibrium desired is to be reached. This book develops a stochastic, temporal model of how political processes influence and are influenced by ecosystem processes and looks at how to find the most politically feasible plan for managing an at-risk ecosystem. Finding such a plan is accomplished by first fitting a mechanistic political and ecological model to a data set composed of observations on both political a 410 0$aStatistics in practice. 606 $aEcosystem management$xMonitoring 606 $aEcosystem management$xPolitical aspects 606 $aEcosystem management$xSimulation methods 606 $aEcosystem management 606 $aWildlife monitoring 615 0$aEcosystem management$xMonitoring. 615 0$aEcosystem management$xPolitical aspects. 615 0$aEcosystem management$xSimulation methods. 615 0$aEcosystem management. 615 0$aWildlife monitoring. 676 $a333.95/16 676 $a333.9516 700 $aHaas$b Timothy$01682887 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910811045203321 996 $aImproving natural resource management$94053289 997 $aUNINA