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  • 1
    Monograph available for loan
    Monograph available for loan
    Individual-based modeling and ecology (2005)
    Princeton, NJ [u.a.] : Princeton Univ. Press
    Details Availability
    Call number: PIK N 531-10-0007
    Description / Table of Contents: Contents: PART 1.MODELING ; Chapter 1. Introduction ; 1.1 Why Individual-based Modeling and Ecology? ; 1.2 Linking Individual Traits and System Complexity: Three Examples ; 1.3 Individual-based Ecology ; 1.4 Early IBMs and Their Research Programs ; 1.5 What Makes a Model an IBM? ; 1.6 Status and Challenges of the Individual-based Approach ; 1.7 Conclusions and Outlook ; Chapter 2. A Primer to Modeling ; 2.1 Introduction ; 2.2 Heuristics for Modeling ; 2.3 The Modeling Cycle ; 2.4 Summary and Discussion ; Chapter 3. Pattern-oriented Modeling ; 3.1 Introduction ; 3.2 Why Patterns, and What Are Patterns? ; 3.3 The Tasks of Pattern-oriented Modeling ; 3.4 Discussion ; PART 2.INDIVIDUAL-BASED ECOLOGY ; Chapter 4. Theory in Individual-based Ecology ; 4.1 Introduction ; 4.2 Basis for Theory in IBE ; 4.3 Goals of IBE Theory ; 4.4 Theory Structure ; 4.5 Theory Development Cycle ; 4.6 Example: Development of Habitat Selection Theory for Trout ; 4.7 Summary and Discussion ; Chapter 5. A Conceptual Framework for Designing Individual-based Models ; 5.1 Introduction ; 5.2 Emergence ; 5.3 Adaptive Traits and Behavior ; 5.4 Fitness ; 5.5 Prediction ; 5.6 Interaction , 5.7 Sensing , 5.8 Stochasticity ; 5.9 Collectives ; 5.10 Scheduling ; 5.11 Observation ; 5.12 Summary and Conclusions , 5.13 Conceptual Design Checklist ; 9Chapter 6. Examples ; 6.1 Introduction ; 6.2 Group and Social Behavior ; 6.3 Population Dynamics of Social Animals ; 6.4 Movement: Dispersal and Habitat Selection , 6.5 Regulation of Hypothetical Populations ; 6.6 Comparison with Classical Models ; 6.7 Dynamics of Plant Populations and Communities ; 6.8 Structure of Communities and Ecosystems ; 6.9 Artificially Evolved Traits ; 6.10 Summary and Conclusions ; PART 3.THE ENGINE ROOM ; Chapter 7. Formulating Individual-based Models ; 7.1 Introduction ; 7.2 Contents of an IBM Formulation ; 7.3 Formulating an IBM's Spatial Elements ; 7.4 Formulating Logical and Probabilistic Rules ; 7.5 Formulating Adaptive Traits ; 7.6 Controlling Uncertainty ; 7.7 Using Object-oriented Design and Description ; 7.8 Using Mechanistic and Discrete Mathematics ; 7.9 Designing Superindividuals ; 7.10 Summary and Conclusions ; Chapter 8. Software for Individual-based Models ; 8.1 Introduction ; 8.2 The Importance of Software Design for IBMs ; 8.3 Software Terminology and Concepts ; 8.4 Software Platforms ; 8.5 Software Testing ; 8.6 Moving Software Development Forward ; 8.7 Important Implementation Techniques ; 8.8 Some Favorite Software Myths ; 8.9 Summary and Conclusions ; Chapter 9. Analyzing Individual-based Models ; 9.1 Introduction ; 9.2 Steps in Analyzing an IBM ; 9.3 General Strategies for Analyzing IBMs ; 9.4 Techniques for Analyzing IBMs ; 9.5 Statistical Analysis ; 9.6 Sensitivity and Uncertainty Analysis ; 9.7 Robustness Analysis ; 9.8 Parameterization ; 9.9 Independent Predictions ; 9.10 Summary and Conclusions ; Chapter 10. Communicating Individual-based Models and Research ; 10.1 Introduction ; 10.2 Types of IBE Work to Communicate ; 10.3 Complete and Efficient Model Description ; 10.4 Common Review Comments ; 10.5 Visual Communication of Executable Models ; 10.6 Communicating Software ; 10.7 Summary and Conclusions ; PART 4.CONCLUSIONS AND OUTLOOK ; Chapter 11. Using Analytical Models in Individual-based Ecology ; 11.1 Introduction ; 11.2 Classifications of Ecological Models ; 11.3 Benefits of Analytical Models ; 11.4 Analytical Approximation of IBMs ; 11.5 Using Analytical Models to Understand and Analyze IBMs ; 11.6 Summary and Discussion ; Chapter 12. Conclusions and Outlook for Individual-based Ecology ; 12.1 Introduction ; 12.2 Why Do We Need IBE? ; 12.3 How Is IBE Different From Traditional Ecology? ; 12.4 What Can Ecology Contribute to the Science of Complex Systems? ; 12.5 A Visit to the Individual-based Ecology Laboratory
    Type of Medium: Monograph available for loan
    Pages: XVI, 428 S. : Ill., graph. Darst.
    ISBN: 069109666X
    Series Statement: Princeton series in theoretical and computational biology
    Location: A 18 - must be ordered
    Branch Library: PIK Library
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  • 2
    Monograph available for loan
    Monograph available for loan
    Agent-based and individual-based modeling : a practical introduction (2012)
    Princeton [u.a.] : Princeton Univ. Press
    Details Availability
    Call number: PIK M 490-16-89502
    Description / Table of Contents: Agent-based modeling is a new technique for understanding how the dynamics of biological, social, and other complex systems arise from the characteristics and behaviors of the agents making up these systems. This innovative textbook gives students and scientists the skills to design, implement, and analyze agent-based models. It starts with the fundamentals of modeling and provides an introduction to NetLogo, an easy-to-use, free, and powerful software platform. Nine chapters then each introduce an important modeling concept and show how to implement it using NetLogo. The book goes on to present strategies for finding the right level of model complexity and developing theory for agent behavior, and for analyzing and learning from models. Agent-Based and Individual-Based Modeling features concise and accessible text, numerous examples, and exercises using small but scientific models. The emphasis throughout is on analysis--such as software testing, theory development, robustness analysis, and understanding full models--and on design issues like optimizing model structure and finding good parameter values. The first hands-on introduction to agent-based modeling, from conceptual design to computer implementation to parameterization and analysis Filled with examples and exercises, with updates and supplementary materials at www.railsback-grimm-abm-book.com Designed for students and researchers across the biological and social sciences Written by leading practitioners.
    Type of Medium: Monograph available for loan
    Pages: XVIII, 329 S. , Ill., graph. Darst.
    ISBN: 9780691136745 (pbk.) , 9780691136738 (hardback)
    URL: http://library.mpib-berlin.mpg.de/toc/z2012_1246.pdf
    Language: English
    Location: A 18 - must be ordered
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  • 3
    Dissertations
    Dissertations
    Larix treeline dynamics in northern Siberia inferred from population genetics and individual-based modelling (2017)
    Potsdam : Universität Potsdam
    Details Availability
    Call number: AWI Bio-20-93988
    Type of Medium: Dissertations
    Pages: x, 181 Seiten , Illustrationen, Diagramme
    URL: http://www.gbv.de/dms/tib-ub-hannover/100933557x.pdf
    Language: English
    Note: Dissertation, Universität Potsdam, 2017 , Contents Abstract Kurzfassung Contents 1. List of figures 2. List of tables Chapter 1. General introduction 1. Motivation 2. Scientific background 3. Objectives of the thesis 4. Thesis outline Chapter 2. Manuscript 1: Treeline dynamics in Siberia under changing climates as inferred from an individual-based model for Larix 1. Abstract 2. Introduction 3. Material and Methods 4. Results 5. Discussion 6. Acknowledgements Chapter 3. Manuscript 2: Field and simulation data reveal dissimilar responses of Larix gmelinii stands to increasing temperature across the Siberian treeline ecotone 1. Abstract 2. Introduction 3. Methods 4. Results 5. Discussion 6. Acknowledgements Chapter 4. Manuscript 3: High gene flow and complex treeline dynamics on the Taymyr Peninsula (north-central Siberia), revealed by nuclear microsatellites of Larix 1. Abstract 2. Introduction 3. Materials and methods 4. Results 5. Discussion 6. Acknowledgements Chapter 5. Manuscript 4: Dispersal distances at treeline in Siberia - genetic guided model improvement 1. Abstract 2. Introduction 3. Methods 4. Results 5. Discussion 6. Acknowledgements Chapter 6. Synopsis 1. Towards a better understanding of Siberian treeline dynamics 2. Methodological challenges to reconstruct and predict the treeline advance 3. Conclusions 4. Outlook Appendix 1. Supplementary information for manuscript 1 (Chapter 2) 2. Supplementary information for manuscript 2 (Chapter 3) 3. Supplementary information for manuscript 3 (Chapter 4) 4. Supplementary information for manuscript 4 (Chapter 5) Bibliography Acknowledgements - Danksagung Declaration
    Location: AWI Reading room
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  • 4
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    Chronic and Acute Effects of Imidacloprid on a Simulated BEEHAVE Honeybee Colony (2022)
    Details
    Publication Date: 2022-10-07
    Description: Honeybees (Apis mellifera) are important pollinators for wild plants as well as for crops, but honeybee performance is threatened by several stressors including varroa mites, gaps in foraging supply, and pesticides. The consequences of bee colony longtime exposure to multiple stressors are not well understood. The vast number of possible stressor combinations and necessary study duration require research comprising field, laboratory, and simulation experiments. We simulated long‐term exposure of a honeybee colony to the insecticide imidacloprid and to varroa mites carrying the deformed wing virus in landscapes with different temporal gaps in resource availability as single stressors and in combinations. Furthermore, we put a strong emphasis on chronic lethal, acute sublethal, and acute lethal effects of imidacloprid on honeybees. We have chosen conservative published values to parameterize our model (e.g., highest reported imidacloprid contamination). As expected, combinations of stressors had a stronger negative effect on bee performance than each single stressor alone, and effect sizes were larger after 3 years of exposure than after the first year. Imidacloprid‐caused reduction in bee performance was almost exclusively due to chronic lethal effects because the thresholds for acute effects were rarely met in simulations. In addition, honeybee colony extinctions were observed by the last day of the first year but more pronounced on the last days of the second and third simulation year. In conclusion, our study highlights the need for more long‐term studies on chronic lethal effects of pesticides on honeybees. Environ Toxicol Chem 2022;41:2318–2327. © 2022 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
    Description: Deutsche Forschungsgemeinschaft http://dx.doi.org/10.13039/501100001659
    Description: https://doi.org/10.5281/zenodo.6567312
    Keywords: ddc:577.2
    Language: English
    Type: doc-type:article
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    CITATION GEO-LEO
  • 5
    Electronic Resource
    Electronic Resource
    Ecological buffering mechanisms in savannas: A unifying theory of long-term tree-grass coexistence (2000)
    Springer
    Plant ecology 150 (2000), S. 161-171 
    Details
    ISSN: 1573-5052
    Keywords: Browsing ; Fire ; Long-term dynamics ; Microsites ; Stability concepts ; System boundaries
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract Despite the large spatial extent and the obvious importance of the savanna biome, not to mention several decades of savanna research, the origin, age, nature, and dynamics of savannas are not well understood. Basically, the question surrounding the presence or existence of savannas focuses on the long-term coexistence of the dominating life forms – trees and grasses. How do these two very different components coexist, without one of them dominating the other, and what mechanisms determine the proportion of each? Earlier equilibrium concepts have recently been replaced by non-equilibrium concepts, and the current view is that tree-grass interactions in savannas cannot be predicted by a simple model. Instead, many interacting factors operating at various spatial and temporal scales contribute to creating and maintaining savanna physiognomy. In this paper we analyse a number of studies from savannas in different parts of the world and discuss whether a general pattern can be perceived behind the numerous factors influencing the presence of savannas systems. On the basis of this analysis we propose a new unifying concept of savanna existence, i.e., the concept of ecological buffering mechanisms. In contrast to previous approaches to explain tree-grass coexistence in savannas, the concept of buffering mechanisms does not focus on equilibria or non-equilibria, steady states of the system or domains of attraction. Instead, in the concept of ecological buffering mechanisms we suggest that it is much more useful to focus on the boundaries of savanna existence itself and to investigate the mechanisms that allow a savanna to persist in critical situations where this system is driven to its boundaries, e.g., pure grasslands or tropical forests. The concept of ecological buffering mechanisms integrates both earlier concepts of ecological theory and general ideas on savanna dynamics as well as specific studies of savannas in different parts of the world.
    Type of Medium: Electronic Resource
    URL: http://dx.doi.org/10.1023/A:1026590806682
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    Paper (German National Licenses)
    Fulltext
  • 6
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    Honey bee colony performance affected by crop diversity and farmland structure: a modeling framework (2020)
    Wiley
    Details
    Publication Date: 2020-09-30
    Print ISSN: 1051-0761
    Electronic ISSN: 1939-5582
    Topics: Biology
    Published by Wiley on behalf of Ecological Society of America.
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    PAPER CURRENT
  • 7
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    Mechanistic effect models for ecological risk assessment of chemicals (MEMoRisk)—a new SETAC-Europe Advisory Group (2009)
    Springer
    Details
    Publication Date: 2009-03-26
    Print ISSN: 0944-1344
    Electronic ISSN: 1614-7499
    Topics: Energy, Environment Protection, Nuclear Power Engineering
    Published by Springer
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  • 8
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    Modelling harvesting strategies for the lobster fishery in northern Europe: the importance of protecting egg-bearing females (2014)
    Springer
    Details
    Publication Date: 2014-12-04
    Print ISSN: 1438-3896
    Electronic ISSN: 1438-390X
    Topics: Biology
    Published by Springer
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  • 9
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    Pattern-oriented modelling for estimating unknown pre-breeding survival rates: The case of the Lesser Spotted Woodpecker (Picoides minor) (2007)
    Elsevier
    Details
    Publication Date: 2007-04-01
    Print ISSN: 0006-3207
    Electronic ISSN: 1873-2917
    Topics: Biology
    Published by Elsevier
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  • 10
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    Limitations of extrapolating toxic effects on reproduction to the population level (2014)
    Wiley
    Details
    Publication Date: 2014-12-01
    Description: For the ecological risk assessment of toxic chemicals, standardized tests on individuals are often used as proxies for population-level effects. Here, we address the utility of one commonly used metric, reproductive output, as a proxy for population-level effects. Because reproduction integrates the outcome of many interacting processes (e.g., feeding, growth, allocation of energy to reproduction), the observed toxic effects in a reproduction test could be due to stress on one of many processes. Although this makes reproduction a robust endpoint for detecting stress, it may mask important population-level consequences if the different physiological processes stress affects are associated with different feedback mechanisms at the population level. We therefore evaluated how an observed reduction in reproduction found in a standard reproduction test translates to effects at the population level if it is caused by hypothetical toxicants affecting different physiological processes (physiological modes of action; PMoA). For this we used two consumer?resource models: the Yodzis-Innes (YI) model, which is mathematically tractable, but requires strong assumptions of energetic equivalence among individuals as they progress through ontogeny, and an individual-based implementation of dynamic energy budget theory (DEB-IBM), which relaxes these assumptions at the expense of tractability. We identified two important feedback mechanisms controlling the link between individual- and population-level stress in the YI model. These mechanisms turned out to also be important for interpreting some of the individual-based model results; for two PMoAs, they determined the population response to stress in both models. In contrast, others stress types involved more complex feedbacks, because they asymmetrically stressed the production efficiency of reproduction and somatic growth. The feedbacks associated with different PMoAs drastically altered the link between individual- and population-level effects. For example, hypothetical stressors with different PMoAs that had equal effects on reproduction had effects ranging from a negligible decline in biomass to population extinction. Thus, reproduction tests alone are of little use for extrapolating toxicity to the population level, but we showed that the ecological relevance of standard tests could easily be improved if growth is measured along with reproduction. # doi:10.1890/14-0656.1
    Print ISSN: 1051-0761
    Electronic ISSN: 1939-5582
    Topics: Biology
    Published by Wiley on behalf of The Ecological Society of America (ESA).
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