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  • 1
    Online Resource
    Online Resource
    In silico bees / (2014)
    Taylor & Francis | Boca Raton :CRC Press,
    Details
    UID:
    almafu_9959938284202883
    Format: 1 online resource (304 p.)
    Edition: 1st edition
    ISBN: 0-429-18513-8 , 1-4665-1788-3
    Content: Bees 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
    Note: Description based upon print version of record. , CONTENTS; 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 , Chapter 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 , English
    Additional Edition: ISBN 1-000-21901-1
    Additional Edition: ISBN 1-4665-1787-5
    Language: English
    Keywords: Electronic books.
    DOI: 10.1201/b16453
    URL: Click to View
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    Online Resource
    Open Access Request
    HU Berlin
    FU Berlin
    Charité
  • 2
    Online Resource
    Online Resource
    In Silico Bees (2014)
    Hoboken : Taylor and Francis
    Details
    UID:
    gbv_1780091664
    Format: 1 online resource (304 pages)
    ISBN: 9781466517882 , 1466517883 , 9781466517875 , 1466517875
    Content: 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.
    Note: Includes bibliographical references
    Additional Edition: ISBN 9781466517875
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9781466517875
    Language: English
    Keywords: Electronic books
    DOI: 10.1201/b16453
    URL: kostenfrei
    URL: kostenfrei
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    Online Resource
    Open Access Request
    Stabi Berlin
    MPI Bildungsforschung
  • 3
    Online Resource
    Online Resource
    In Silico Bees (2014)
    [Erscheinungsort nicht ermittelbar] : Taylor & Francis
    Details
    UID:
    gbv_1778640540
    Format: 1 Online-Ressource (314 p.)
    ISBN: 9781466517882 , 9780429185137 , 9781138374706 , 9781466517875
    Content: Bees are critically important for ecosystem function and biodiversity maintenance through their pollinating activity. This book provides a collection of computational methods to those primarily interested in the study of the ecology, ethology, and ecotoxicology of bees. It presents numerous case studies to enable readers to understand the appropriateness but also the limitations of models in theoretical and applied bee research. Written by an international team of experts, this book covers the main types of modeling approaches that can be used in terrestrial ecology and applied ecotoxicology
    Note: English
    Language: English
    URL: kostenfrei
    URL: lizenzpflichtig
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    Stabi Berlin
    UB Potsdam
  • 4
    Online Resource
    Online Resource
    In Silico Bees. (2014)
    Hoboken :Taylor and Francis,
    Details
    UID:
    kobvindex_HPB868488108
    Format: 1 online resource (304 pages)
    ISBN: 9781466517882 , 1466517883 , 9781466517875 , 1466517875
    Content: Bees 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.
    Note: 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. , Chapter 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.
    Additional Edition: Print version: Devillers, James. In Silico Bees. Hoboken : Taylor and Francis, ©2014 ISBN 9781466517875
    Language: English
    URL: EBSCOhost
    URL: http://VH7QX3XE2P.search.serialssolutions.com/?V=1.0&L=VH7QX3XE2P&S=JCs&C=TC0001084510&T=marc&tab=BOOKS
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    Online Resource
    HPol Brandenburg
  • 5
    Book
    Book
    In silico bees / (2014)
    Boca Raton [u.a.] :Taylor & Francis,
    Details
    UID:
    almahu_BV041581860
    Format: XIII, 292 S. : , Ill., graph. Darst., Kt.
    ISBN: 978-1-466-51787-5
    Language: English
    Subjects: Computer Science , Biology
    RVK:
    WT 2021
    RVK:
    WQ 7600
    RVK:
    ST 340
    RVK:
    WC 7700
    Keywords: Biene ; Verhalten ; Mathematisches Modell ; Biene ; Chemikalie ; Mathematisches Modell
    URL: http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=027027104&sequence=000002&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
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    Book
    HU Berlin get availability status
  • 6
    Online Resource
    Online Resource
    In silico bees / (2014)
    Taylor & Francis | Boca Raton :CRC Press,
    Details
    UID:
    almahu_9949138574902882
    Format: 1 online resource (304 p.)
    Edition: 1st edition
    ISBN: 0-429-18513-8 , 1-4665-1788-3
    Content: Bees 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
    Note: Description based upon print version of record. , CONTENTS; 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 , Chapter 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 , English
    Additional Edition: ISBN 1-000-21901-1
    Additional Edition: ISBN 1-4665-1787-5
    Language: English
    DOI: 10.1201/b16453
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    HU Berlin
  • 7
    Online Resource
    Online Resource
    In silico bees / (2014)
    Taylor & Francis | Boca Raton :CRC Press,
    Details
    UID:
    edoccha_9959938284202883
    Format: 1 online resource (304 p.)
    Edition: 1st edition
    ISBN: 0-429-18513-8 , 1-4665-1788-3
    Content: Bees 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
    Note: Description based upon print version of record. , CONTENTS; 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 , Chapter 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 , English
    Additional Edition: ISBN 1-000-21901-1
    Additional Edition: ISBN 1-4665-1787-5
    Language: English
    DOI: 10.1201/b16453
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    Charité
  • 8
    Online Resource
    Online Resource
    In silico bees / (2014)
    Taylor & Francis | Boca Raton :CRC Press,
    Details
    UID:
    edocfu_9959938284202883
    Format: 1 online resource (304 p.)
    Edition: 1st edition
    ISBN: 0-429-18513-8 , 1-4665-1788-3
    Content: Bees 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
    Note: Description based upon print version of record. , CONTENTS; 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 , Chapter 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 , English
    Additional Edition: ISBN 1-000-21901-1
    Additional Edition: ISBN 1-4665-1787-5
    Language: English
    DOI: 10.1201/b16453
    Library Location Call Number Volume/Issue/Year Availability
    BibTip Others were also interested in ...
    Online Resource
    Open Access Request
    FU Berlin
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