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001467763 001__ 1467763
001467763 003__ OCoLC
001467763 005__ 20230707003338.0
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001467763 019__ $$a1378364304
001467763 020__ $$a9789819901319$$qelectronic book
001467763 020__ $$a9819901316$$qelectronic book
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001467763 020__ $$z9789819901302
001467763 0247_ $$a10.1007/978-981-99-0131-9$$2doi
001467763 035__ $$aSP(OCoLC)1378390589
001467763 040__ $$aEBLCP$$beng$$erda$$cEBLCP$$dYDX$$dGW5XE$$dEBLCP$$dYDX
001467763 049__ $$aISEA
001467763 050_4 $$aQH541.15.M3$$bE36 2023
001467763 08204 $$a639.9/20113$$223/eng/20230516
001467763 24500 $$aEcosystem and species habitat modeling for conservation and restoration /$$cShalini Dhyani, Dibyendu Adhikari, Rajarshi Dasgupta, Rakesh Kadaverugu, editors.
001467763 264_1 $$aSingapore :$$bSpringer,$$c[2023]
001467763 300__ $$a1 online resource (587 p.)
001467763 336__ $$atext$$btxt$$2rdacontent
001467763 337__ $$acomputer$$bc$$2rdamedia
001467763 338__ $$aonline resource$$bcr$$2rdacarrier
001467763 500__ $$a5.3 Model Downscaling
001467763 5050_ $$aIntro -- Foreword -- Origins -- Key Elements in the Process -- Challenges -- This Book -- Literature Cited -- Acknowledgments -- Contents -- Editors and Contributors -- Abbreviations -- 1: Modelling Tools and Plausible Scenarios in Science-Policy to Improve Evidence-Based Decision-Making for Human Well-Being -- 1.1 Introduction -- 1.2 Modelling Tools -- 1.3 Recognition and Acceptance of Modelling Tools in Environmental Decision-Making -- 1.4 Progress and Developments in Modelling on the Science Front -- 1.4.1 Species Modelling -- 1.4.2 Ecosystem Modelling -- 1.5 Enabling and Constraining
001467763 5058_ $$a1.6 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
001467763 5058_ $$a2.7 Niche Theory in SDM -- 2.8 Challenges in SDM -- References -- 3: Machine Learning-Based Predictive Modelling Approaches for Effective Understanding of Evolutionary History, Distribution, a... -- 3.1 Introduction -- 3.2 MaxEnt Modelling -- 3.3 The Climatic Variables -- 3.4 Climate Change and Habitat Suitability -- 3.5 Model Appraisal -- 3.6 The Western Ghats and Climate Change -- 3.7 Habitat Suitability Model of an Endemic Mammal -- 3.8 Consequences of Climate Change on Endemic Animals -- 3.9 Paleoclimatic Model and Allopatric Speciation -- 3.10 Limitations of Research -- 3.11 Future Prospects
001467763 5058_ $$a3.12 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)
001467763 5058_ $$a4.5 Application of Species Distribution Models in Various Ecosystems -- 4.5.1 Application in Urban Ecosystem -- 4.5.2 Application in Forest Ecosystem -- 4.5.3 Application in Marine Ecosystem -- 4.6 Comparative of Different SDMs for Mapping of Impact of Climate Change -- 4.7 Gaps and Challenges Associated with Mapping the Impact of Climate Change -- 4.8 Future Perspectives -- References -- 5: Approaches for Modelling the Climate Change Impacts on Ecosystems -- 5.1 Introduction -- 5.2 IPCC Modelling Scenarios -- 5.2.1 SRES Scenarios -- 5.2.2 RCP Scenarios -- 5.2.3 SSP Scenarios
001467763 506__ $$aAccess limited to authorized users.
001467763 520__ $$aThis 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.
001467763 588__ $$aDescription based on online resource; title from digital title page (viewed on June 21, 2023).
001467763 650_0 $$aHabitat conservation.
001467763 650_0 $$aEcosystem management.
001467763 650_0 $$aRestoration ecology.
001467763 655_0 $$aElectronic books.
001467763 7001_ $$aDhyani, Shalini.
001467763 7001_ $$aAdhikari, Dibyendu.
001467763 7001_ $$aDasgupta, Rajarshi.
001467763 7001_ $$aKadaverugu, Rakesh.
001467763 77608 $$iPrint version:$$aDhyani, Shalini$$tEcosystem and Species Habitat Modeling for Conservation and Restoration$$dSingapore : Springer,c2023$$z9789819901302
001467763 852__ $$bebk
001467763 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-99-0131-9$$zOnline Access$$91397441.1
001467763 909CO $$ooai:library.usi.edu:1467763$$pGLOBAL_SET
001467763 980__ $$aBIB
001467763 980__ $$aEBOOK
001467763 982__ $$aEbook
001467763 983__ $$aOnline
001467763 994__ $$a92$$bISE