Ecosystem and species habitat modeling for conservation and restoration / Shalini Dhyani, Dibyendu Adhikari, Rajarshi Dasgupta, Rakesh Kadaverugu, editors.
Dhyani, Shalini.; Adhikari, Dibyendu.; Dasgupta, Rajarshi.; Kadaverugu, Rakesh.
2023
QH541.15.M3 E36 2023
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Title Ecosystem and species habitat modeling for conservation and restoration / Shalini Dhyani, Dibyendu Adhikari, Rajarshi Dasgupta, Rakesh Kadaverugu, editors.
ISBN 9789819901319 electronic book
9819901316 electronic book
9819901308
9789819901302
DOI https://doi.org/10.1007/978-981-99-0131-9
Published Singapore : Springer, [2023]
Language English
Description 1 online resource (587 p.)
Other Standard Identifiers 10.1007/978-981-99-0131-9 doi
Call Number QH541.15.M3 E36 2023
Dewey Decimal Classification 639.9/20113
Summary This edited book is focused on SDG 15. This volume covers aspects of species and ecosystem modeling in understanding the complexity of ecological systems, restoration, protected area management, and species conservation. The book follows a systematic and situation-sensitive approach to discuss ecosystem and species modeling tools, approaches, science, case studies, opportunities, and gaps for enhancing conservation efforts, ensuring ecosystem resilience, and addressing sustainability issues. The book emphasizes on science, innovations, case studies, and strategic relevance as main pillars of using ecosystem and species modeling tools and implementing the outcomes and results. In addition, clear conceptual frameworks, elaborated methodologies, and their applications are included to support policy planning and interventions to reduce and reverse human encroachment in human-dominated natural ecosystems, their degradation, and loss of important species and ecosystem services. Essential information with a special focus on advances and opportunities in advancing the implementation of results and outputs of the modeling tools, challenges and constraints for addressing loss of ecosystem services, designing and implementing sustainable landscape restoration, environmental risk assessment, and finally understanding policy implications and concerns for mainstreaming modeling results in conservation planning and decision-making is included in the book. Further topics include ultimate translational value of modeling tools and efforts across transitional ecosystems and species habitat to provide better evidence to influence the nature-based solutions (NbS) and ecosystem health assessment using Red List of Ecosystems (RLE). The emerging roles of integrative socio-ecological as well as techno-cultural factors in promoting the relevance of ecosystem and species modeling is one of the key features of this book. This edited volume is of interest and useful to researchers, students, scholars, policy makers, forest managers, consultants, and policy makers in the fields of protected area management, forest department, conservation, modeling, climate change, and sustainability science, and also authors engaged in IPBES, IPCC, and several other assessments.
Note 5.3 Model Downscaling
Access Note Access limited to authorized users.
Source of Description Description based on online resource; title from digital title page (viewed on June 21, 2023).
Added Author Dhyani, Shalini.
Adhikari, Dibyendu.
Dasgupta, Rajarshi.
Kadaverugu, Rakesh.
Available in Other Form Ecosystem and Species Habitat Modeling for Conservation and Restoration
Linked Resources Online Access
Record Appears in Online Resources > Ebooks
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Intro
Foreword
Origins
Key Elements in the Process
Challenges
This Book
Literature Cited
Acknowledgments
Contents
Editors and Contributors
Abbreviations
1: Modelling Tools and Plausible Scenarios in Science-Policy to Improve Evidence-Based Decision-Making for Human Well-Being
1.1 Introduction
1.2 Modelling Tools
1.3 Recognition and Acceptance of Modelling Tools in Environmental Decision-Making
1.4 Progress and Developments in Modelling on the Science Front
1.4.1 Species Modelling
1.4.2 Ecosystem Modelling
1.5 Enabling and Constraining

1.6 Mainstreaming Modelling Tools in Policy Planning
1.7 Structure of the Book
References
Part I: Ecosystem and Species Modelling Tools and Relevance
2: Basic Introduction to Species Distribution Modelling
2.1 Introduction
2.2 The Modelling Process
2.3 Data Types
2.3.1 Species Data
2.3.2 Environmental Data
2.4 Modelling Techniques
2.4.1 Single Algorithm Techniques
2.4.2 Ensemble Techniques
2.5 Model Evaluation
2.5.1 Threshold-Dependent Measures
2.5.2 Threshold-Independent Measures
2.6 Application of SDMs in Paleobiogeography

2.7 Niche Theory in SDM
2.8 Challenges in SDM
References
3: Machine Learning-Based Predictive Modelling Approaches for Effective Understanding of Evolutionary History, Distribution, a...
3.1 Introduction
3.2 MaxEnt Modelling
3.3 The Climatic Variables
3.4 Climate Change and Habitat Suitability
3.5 Model Appraisal
3.6 The Western Ghats and Climate Change
3.7 Habitat Suitability Model of an Endemic Mammal
3.8 Consequences of Climate Change on Endemic Animals
3.9 Paleoclimatic Model and Allopatric Speciation
3.10 Limitations of Research
3.11 Future Prospects

3.12 Conclusion
References
4: Mapping the Impact of Climate Change on Eco-sensitive Hotspots Using Species Distribution Modelling (SDM): Gaps, Challenges...
4.1 Introduction
4.2 Impact of Climate Change on Eco-sensitive Hotspots
4.3 Types of Species Distribution Models Currently Used
4.3.1 Empirical Model
4.3.2 Correlative Model
4.3.3 Mechanistic Model
4.3.4 Hybrid Model
4.4 Parameters Influencing Species Distribution Models
4.4.1 Species Distribution Data
4.4.2 Bioclimatic or Environmental Data
4.4.3 Indicators of Good Fit (Accuracy)

4.5 Application of Species Distribution Models in Various Ecosystems
4.5.1 Application in Urban Ecosystem
4.5.2 Application in Forest Ecosystem
4.5.3 Application in Marine Ecosystem
4.6 Comparative of Different SDMs for Mapping of Impact of Climate Change
4.7 Gaps and Challenges Associated with Mapping the Impact of Climate Change
4.8 Future Perspectives
References
5: Approaches for Modelling the Climate Change Impacts on Ecosystems
5.1 Introduction
5.2 IPCC Modelling Scenarios
5.2.1 SRES Scenarios
5.2.2 RCP Scenarios
5.2.3 SSP Scenarios

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