LEADER 03880oam 2200793I 450 001 9910491849603321 005 20240424225802.0 010 $a0-429-18513-8 010 $a1-4665-1788-3 024 7 $a10.1201/b16453 035 $a(CKB)3710000000083517 035 $a(EBL)1385031 035 $a(SSID)ssj0001084510 035 $a(PQKBManifestationID)11687192 035 $a(PQKBTitleCode)TC0001084510 035 $a(PQKBWorkID)11036285 035 $a(PQKB)10205813 035 $a(OCoLC)868488108 035 $a(MiAaPQ)EBC1385031 035 $a(OCoLC)870087095 035 $a(oapen)https://directory.doabooks.org/handle/20.500.12854/71270 035 $a(CaSebORM)9781466517882 035 $a(OCoLC)880898420 035 $a(OCoLC)ocn880898420 035 $a(EXLCZ)993710000000083517 100 $a20180331h20142014 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 00$aIn silico bees /$fedited by James Devillers 205 $a1st edition 210 $cTaylor & Francis$d2014 210 1$aBoca Raton :$cCRC Press,$d[2014] 210 4$dİ2014 215 $a1 online resource (304 p.) 300 $aDescription based upon print version of record. 311 $a1-000-21901-1 311 $a1-4665-1787-5 320 $aIncludes bibliographical references. 327 $aCONTENTS; Acknowledgments; Contributors; Chapter 1 Automatic Systems for Capturing the Normal and AbnormalBehaviors of Honey Bees; Chapter 2 Computational Modeling of Organization in Honey BeeSocieties Based on Adaptive Role Allocation; Chapter 3 Illustrating the Contrasting Roles of Self-Organization inBiological Systems with Two Case Histories of CollectiveDecision Making in the Honey Bee; Chapter 4 Models for the Recruitment and Allocation of Honey Bee Foragers; Chapter 5 Infectious Disease Modeling for Honey Bee Colonies 327 $aChapter 6 Honey Bee Ecology from an Urban Landscape Perspective:The Spatial Ecology of Feral Honey BeesChapter 7 QSAR Modeling of Pesticide Toxicity to Bees; Chapter 8 Mathematical Models for the Comprehension of ChemicalContamination into the Hive; Chapter 9 Agent-Based Modeling of the Long-Term Effects ofPyriproxyfen on Honey Bee Population; Chapter 10 Simulation of Solitary (Non-Apis) Bees Competing for Pollen; Chapter 11 Estimating the Potential Range Expansion and EnvironmentalImpact of the Invasive Bee-Hawking Hornet, Vespa velutinanigrithorax 330 $aBees are critically important for ecosystem function and biodiversity maintenance through their pollinating activity. Unfortunately, bee populations are faced with many threats, and evidence of a massive global pollination crisis is steadily growing. As a result, there is a need to understand and, ideally, predict how bees respond to pollution disturbance, to the changes over landscape gradients, and how their responses can vary in different habitats, which are influenced to different degrees by human activities.Modeling approaches are useful to simulate the behavior of whole popula 606 $aHoneybee$xBehavior$xMathematical models 606 $aHoneybee$xEffect of chemicals on$xMathematical models 610 $aadult 610 $aapis 610 $acolonies 610 $acolony 610 $adance 610 $aforagers 610 $ahoney 610 $amellifera 610 $aroyal 610 $awaggle 615 0$aHoneybee$xBehavior$xMathematical models. 615 0$aHoneybee$xEffect of chemicals on$xMathematical models. 676 $a595.79/9 676 $a595.799 676 $a595.799 700 $aDevillers$b James$4edt$0293384 702 $aDevillers$b James$f1956- 801 0$bFlBoTFG 801 1$bFlBoTFG 906 $aBOOK 912 $a9910491849603321 996 $aIn silico bees$93361475 997 $aUNINA