MARC Record from marc_columbia

LEADER: 03495cam a2200481 4500
001 15095926
005 20221105230946.0
006 m o d
007 cr cnu---unuuu
008 140118s2014 xx ob 000 0 eng d
035 $a(OCoLC)ocn868488108
035 $a(NNC)15095926
040 $aEBLCP$beng$epn$cEBLCP$dE7B$dU3G$dOCLCO$dN$T$dOCLCO$dOCLCQ$dOCLCO$dCOO$dDEBSZ$dOCLCQ$dOCLCO$dMOR$dMERUC$dOCLCQ$dCNCGM$dBUF$dOCLCQ$dWYU$dYDX$dOCLCQ$dK6U$dOCLCO$dOCLCQ
019 $a1065928285
020 $a9781466517882$q(electronic bk.)
020 $a1466517883$q(electronic bk.)
020 $a9781466517875
020 $a1466517875
035 $a(OCoLC)868488108$z(OCoLC)1065928285
050 4 $aQL568.A6 I57 2014
072 7 $aSCI$x070000$2bisacsh
082 04 $a595.79/9$a595.799
049 $aZCUA
100 1 $aDevillers, James.
245 10 $aIn Silico Bees.
260 $aHoboken :$bTaylor and Francis,$c2014.
300 $a1 online resource (304 pages)
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
588 0 $aPrint version record.
505 0 $aAcknowledgments; 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.
505 8 $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 of Pyriproxyfen 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.
520 $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.
504 $aIncludes bibliographical references.
650 0 $aHoneybee$xEffect of chemicals on$xMathematical models.
650 0 $aHoneybee$xBehavior$xMathematical models.
650 6 $aAbeille$xEffets des produits chimiques sur$xModèles mathématiques.
650 6 $aAbeille$xMœurs et comportement$xModèles mathématiques.
650 7 $aSCIENCE$xLife Sciences$xZoology$xGeneral.$2bisacsh
776 08 $iPrint version:$aDevillers, James.$tIn Silico Bees.$dHoboken : Taylor and Francis, ©2014$z9781466517875
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15095926$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS