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  • 1
    UID:
    almahu_9948233702502882
    Format: 1 online resource (xxv, 290 pages) : , digital, PDF file(s).
    ISBN: 9781316014240 (ebook)
    Content: As both the societies and the world in which we live face increasingly rapid and turbulent changes, the concept of resilience has become an active and important research area. Reflecting the very latest research, this book provides a critical review of the ways in which resilience of social-ecological systems, and the ecosystem services they provide, can be enhanced. With contributions from leaders in the field, the chapters are structured around seven key principles for building resilience: maintain diversity and redundancy; manage connectivity; manage slow variables and feedbacks; foster complex adaptive systems thinking; encourage learning; broaden participation; and promote polycentric governance. The authors assess the evidence in support of these principles, discussing their practical application and outlining further research needs. Intended for researchers, practitioners and graduate students, this is an ideal resource for anyone working in resilience science and for those in the broader fields of sustainability science, environmental management and governance.
    Note: Title from publisher's bibliographic system (viewed on 05 Oct 2015). , Foreword / , An introduction to the resilience approach and principles to sustain ecosystem services in social-ecological systems / , Politics and the resilience of ecosystem services / , Principle 1: maintain diversity and redundancy / , Principle 2: manage connectivity / , Principle 3: manage slow variables and feedbacks / , Principle 4: foster complex adaptive systems thinking / , Principle 5: encourage learning / , Principle 6: broaden participation / , Principle 7: promote polycentric governance systems / , Reflections on building resilience: interactions among principles and implications for governance /
    Additional Edition: Print version: ISBN 9781107082656
    Language: English
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  • 2
    UID:
    almahu_9949517337402882
    Format: 1 online resource (527 pages)
    ISBN: 9781000401530
    Series Statement: Routledge Environment and Sustainability Handbooks Series
    Additional Edition: Print version: Biggs, Reinette The Routledge Handbook of Research Methods for Social-Ecological Systems Milton : Taylor & Francis Group,c2021 ISBN 9780367898403
    Language: English
    Keywords: Electronic books.
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  • 3
    UID:
    almahu_9949774036902882
    Format: XII, 150 p. 20 illus., 17 illus. in color. , online resource.
    Edition: 1st ed. 2024.
    ISBN: 9783031591358
    Series Statement: SpringerBriefs in Philosophy,
    Content: This open access book is about causal thinking and the use of causal language, with a focus on introducing philosophical ideas about causation to students and researchers of Social-Ecological Systems (SES). It takes a systematic approach to three central topics: the meanings of different causal expressions, sufficiency of evidence for inferences from observations to causal relations, and how to handle the complexity of causal relations in social-ecological systems. Consequently, the book is divided into three parts. In the first part the authors analyse and discuss the use of causal idiom in ordinary language, and in the second part they scrutinise the use of causal concepts and causal inference in science. Finally, the authors discuss causal reasoning about social-ecological systems in multi- and interdisciplinary contexts. This book provides an analysis of the concept of causation useful in the empirical sciences, where causal notions and idioms often are used without sufficient reflection. Empirical sciences often use causal idiom drawn from ordinary language, and similarly there is little formalisation of causal language and technical concepts in the humanities and social sciences. This book is a valuable resource for the application of current philosophical discussions about the concept of causation, in particular when applied to the analysis of social-ecological systems, but also when applied to research in the sciences and humanities.
    Note: Chapter 1. Introduction: Causation in Social-Ecological Systems -- Part I: Semantics of causal expressions -- Chapter 2. Causal Talk Permeates Ordinary Language -- Chapter 3. Causal Talk is Fundamental -- Chapter 4. Causation, Counterfactual Dependence and Potential Outcomes -- Part II: Causation in Science -- Chapter 5. Causal Relations and Causal Relata in Science -- Chapter 6. Causation, Laws and Regularities -- Chapter 7. Inferences from Statistics to Causation -- Chapter 8. Causal Explanations -- Part III: Causation in Complex SES -- Chapter 9. Causation in Social-Ecological Systems Research -- Part IV: Appendices -- A How Does a Theory Relate to Reality? -- B Models -- C. Confidence Intervals and Correlations.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783031591341
    Additional Edition: Printed edition: ISBN 9783031591365
    Language: English
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  • 4
    UID:
    almahu_9949845821302882
    Format: 1 online resource (149 pages)
    Edition: 1st ed.
    ISBN: 9783031591358
    Series Statement: SpringerBriefs in Philosophy Series
    Note: Intro -- Preface -- Contents -- 1 Introduction: Causation in Social-Ecological Systems -- References -- Part I Semantics of Causal Expressions -- 2 Causal Talk Permeates Ordinary Language -- 2.1 Introduction -- 2.2 Causal Phrases -- 2.3 Some Remarks on the Semantics of `Cause', `Effect' and Their Cognates -- 2.3.1 Causal Relations Between Events/States of Affairs -- 2.3.2 Causal Relations Between Categories -- 2.3.3 Causal Relations Between Quantitative Variables -- 2.3.4 Common Causes -- 2.4 Causal Powers -- 2.5 Summary -- References -- 3 Causal Talk Is Fundamental -- 3.1 Introduction: The Pervasiveness of Causal Talk -- 3.2 Attempts to Define `Cause' -- 3.3 Are Causal Connections Observable? -- 3.4 Hume's Criteria for the Use of `Cause' -- 3.5 Summary -- References -- 4 Causation, Counterfactual Dependence and Potential Outcomes -- 4.1 Introduction -- 4.2 Goodman on Counterfactuals -- 4.3 Woodward's Account of Causation -- 4.4 Potential Outcomes Instead of Counterfactuals? -- 4.5 Summary -- References -- Part II Causation in Science -- 5 Causal Relations and Causal Relata in Science -- 5.1 Introduction -- 5.2 Singular Versus General Causation -- 5.2.1 Causal Relations Between Singular Events/Statesof Affairs -- 5.2.2 Generalised Causal Relations -- 5.3 Causation in Qualitative Studies -- 5.4 Causation and Feedback Loops -- 5.5 Causation and Probability -- 5.6 Many Causes: INUS-Conditions -- 5.7 Summary -- References -- 6 Causation, Laws and Regularities -- 6.1 Laws and Causation -- 6.2 Laws, Regularities and Ceteris Paribus Clauses -- 6.2.1 The Form of Laws -- 6.2.2 Strict and Not-So-Strict Laws -- 6.3 Correlation, Regression and Causation -- 6.4 Correlations Between Boolean Variables -- 6.5 Directed Graphs and Structural Equations -- 6.5.1 Directed Graphs -- 6.5.2 Structural Equations -- 6.5.3 Bayesian Networks -- 6.6 Non-linear Dynamics. , 6.6.1 Predictions and Non-linear Dynamics -- 6.7 Causation, Manipulation and Intervention -- 6.8 Summary -- References -- 7 Inferences from Statistics to Causation -- 7.1 Inferences from Correlations and Regressions -- 7.2 Natural Experiments -- 7.3 Controlling for Covariates -- 7.4 Regression Analysis -- 7.5 Heuristic: Hill's Criteria -- 7.6 Summary -- References -- 8 Causal Explanations -- 8.1 Explanation-Seeking Questions -- 8.2 Explanations -- 8.3 Different Kinds of Explanations -- 8.3.1 Constitutive Explanations -- 8.3.2 Teleological Explanations -- 8.3.3 Functional Explanations -- 8.3.4 Intentional Explanations -- 8.4 Causal Explanation and Mechanisms -- 8.5 Some Special Mechanisms -- 8.5.1 Confounder Mechanisms -- 8.5.2 Feedback Mechanisms -- 8.5.3 Bifurcation Mechanisms -- 8.6 Summary -- References -- Part III Causation in Complex SES -- 9 Causation in Social-Ecological Systems Research -- 9.1 Introduction -- 9.2 Causal Reasoning About Social-Ecological Systems -- 9.3 Causal Reasoning in a Study -- 9.4 Causal Configuration -- 9.5 Interpreting Results -- 9.6 Making and Justifying Causal Claims -- 9.7 Diversity of Causal Reasoning -- 9.7.1 Study 1: Quantifying the Effect of Community-Based Monitoring on Groundwater Management: A Statistical Causal Inference Approach -- 9.7.2 Study 2: Synchronous Failure: The Emerging Causal Architecture of Global Crisis -- 9.7.3 Study 3: Exploring the Importance of Social Processes for the Collapse of the Baltic Cod Stocks: A Modelling Approach -- 9.7.4 Study 4: Explaining Emergent Patterns of Self- Governance Arrangements in Small-Scale Fisheries: A Modelling Approach -- 9.7.5 Study 5: Addressing the Challenges of Climate Adaptation: A Practice-Based Approach to Transdisciplinary Sustainability Interventions -- 9.8 Summary of Examples -- 9.9 Navigating the Diversity of Causal Reasoning -- 9.10 Summary. , References -- A How Does a Theory Relate to Reality? -- B Models -- C Confidence Intervals and Correlations -- C.1 Confidence Intervals -- C.2 Confidence Intervals for Correlations -- Glossary -- Bibliography -- Index.
    Additional Edition: Print version: Johansson, Lars-Göran A Primer to Causal Reasoning about a Complex World Cham : Springer,c2024 ISBN 9783031591341
    Language: English
    Keywords: Electronic books.
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