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001449579 001__ 1449579
001449579 003__ OCoLC
001449579 005__ 20230310004407.0
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001449579 019__ $$a1344489886
001449579 020__ $$a9789811927386$$q(electronic bk.)
001449579 020__ $$a9811927383$$q(electronic bk.)
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001449579 0247_ $$a10.1007/978-981-19-2738-6$$2doi
001449579 035__ $$aSP(OCoLC)1344540807
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001449579 049__ $$aISEA
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001449579 08204 $$a577.69/8095$$223/eng/20220926
001449579 24500 $$aAssessing, mapping and modelling of mangrove ecosystem services in the Asia-Pacific Region /$$cRajarshi Dasgupta, Shizuka Hashimoto, Osamu Saito, editors.
001449579 260__ $$aSingapore :$$bSpringer,$$c2022.
001449579 300__ $$a1 online resource (xii, 292 pages) :$$billustrations
001449579 336__ $$atext$$btxt$$2rdacontent
001449579 337__ $$acomputer$$bc$$2rdamedia
001449579 338__ $$aonline resource$$bcr$$2rdacarrier
001449579 4901_ $$aScience for sustainable societies
001449579 500__ $$a5.4.7 Tourism, Plastic Pollution, and Solid and Hazardous Waste Management
001449579 5050_ $$aIntro -- Preface -- Contents -- Editors and Contributors -- Chapter 1: Envisioning the Future of Mangroves Through Mapping and Modeling of Mangrove Ecosystem Services -- 1.1 Introduction -- 1.2 Drivers of Mangrove Loss in Asia and Pacific -- 1.3 Future Uncertainties in the Delivery of Mangrove Ecosystem Services -- 1.4 Taking a Scenario and Modeling Approach to Understand Mangrove Sustainability -- 1.5 About the Book -- References -- Part I: Trend Analysis, Scenario Building and Identification of the Influential Drivers of Change
001449579 5058_ $$aChapter 2: Monitoring Spatial and Temporal Distribution, Pattern, and Trend Prediction of Coastal Mangroves in Pakistan Using ... -- 2.1 Introduction -- 2.2 The Study Area -- 2.3 Methods and Material -- 2.3.1 Preprocessing, Supervised Classification, and NDVI -- 2.3.2 Tools and Techniques -- 2.4 Spatiotemporal Distribution of Coastal Mangroves -- 2.5 Spatial and Temporal Distribution of Mangroves Using NDVI -- 2.6 Spatiotemporal Analysis of Mangroves -- 2.6.1 Microlevel Analysis of Coastal Mangroves in Sindh Province -- 2.6.2 Microlevel Analysis of Coastal Mangroves in Baluchistan Province
001449579 5058_ $$a2.7 Trend Prediction of Coastal Mangroves -- 2.8 Conclusion -- References -- Chapter 3: Assessment of Mangrove Colonization of Aquaculture Ponds Through Satellite Image Analysis: Implications for Mangrov... -- 3.1 Introduction -- 3.2 Methods -- 3.2.1 Study Site -- 3.2.2 Data Preprocessing -- 3.2.3 Supervised Classification -- 3.3 Results -- 3.4 Discussion -- 3.4.1 Mangrove Regeneration -- 3.5 Impact of Policies on Mangrove Rehabilitation -- 3.6 Implications for Mangrove Management and Restoration -- 3.7 Research/Management Gaps and Recommendations -- References
001449579 5058_ $$aChapter 4: Ecosystem Services and Their Future Scenarios Centering on Mangrove Ecosystem in Ishigaki Island, Japan -- 4.1 Introduction -- 4.2 Mangroves and Other Land Use and Land Cover on Ishigaki Island -- 4.2.1 Mangrove Communities -- 4.2.1.1 Miyara River -- 4.2.1.2 Nagura Anparu -- 4.2.1.3 Fukido River -- 4.2.2 Mangrove Ecosystem Services -- 4.3 Historical Changes in Mangroves and Their Drivers -- 4.3.1 Direct Drivers -- 4.3.2 Indirect Drivers -- 4.4 Future Scenarios -- 4.4.1 Hypothetical Scenarios for Ishigaki Mangroves Drawing on Existing Scenarios
001449579 5058_ $$a4.4.2 Mapping Relevant Policies in the Hypothetical Scenario Space -- 4.4.3 Scenarios and Key Policy Metrics for Ishigaki Island -- 4.5 Conclusion -- References -- Chapter 5: A Participatory Stakeholder-Based Approach to Assess the Drivers and Challenges of Mangrove Loss in Kochi, Kerala, ... -- 5.1 Introduction -- 5.2 Study Area -- 5.3 Methodology -- 5.4 Result and Discussion -- 5.4.1 Population Growth -- 5.4.2 Shrimp Farming/Aquaculture -- 5.4.3 Deforestation and Land-Use Change to Build up Expansion -- 5.4.4 Urbanization -- 5.4.5 Coastal Industrial Projects -- 5.4.6 Dredging and Port
001449579 506__ $$aAccess limited to authorized users.
001449579 520__ $$aThis book presents the state-of-the-art of knowledge in assessing, mapping, and modeling mangrove ecosystem services and outlines various scientific tools and techniques, including environmental scenario-building, spatial and econometric modelling to understand the fluctuations and future availability of mangrove ecosystem services. The book also highlights the current gaps and measures in policy planning and outlines the avenues for capacity building. Through case studies and thematic reviews, the book plans to cater to a wide range of audiences, including students, researchers, and decision-makers at various levels involved in mangrove conservation and land use optimization for sustainable and resilient development. This book is particularly useful to researchers and students in the field of landscape and spatial ecology, coastal zone management, ecosystem services, and resilience planning. It is also a must-read for policymakers, conservators, coastal zone managers, foresters, and general administrators in understanding the current and future roles of mangroves in ecosystem-based adaptation through informed decision-making.
001449579 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed September 26, 2022).
001449579 650_0 $$aMangrove ecology$$zPacific Area.
001449579 650_0 $$aMangrove ecology$$zPacific Area$$xMathematical models.
001449579 655_0 $$aElectronic books.
001449579 7001_ $$aDasgupta, Rajarshi,$$eeditor
001449579 7001_ $$aHashimoto, Shizuka,$$eeditor
001449579 7001_ $$aSaito, Osamu,$$eeditor
001449579 77608 $$iPrint version:$$aDasgupta, Rajarshi$$tAssessing, Mapping and Modelling of Mangrove Ecosystem Services in the Asia-Pacific Region$$dSingapore : Springer,c2022$$z9789811927379
001449579 830_0 $$aScience for sustainable societies.
001449579 852__ $$bebk
001449579 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-981-19-2738-6$$zOnline Access$$91397441.1
001449579 909CO $$ooai:library.usi.edu:1449579$$pGLOBAL_SET
001449579 980__ $$aBIB
001449579 980__ $$aEBOOK
001449579 982__ $$aEbook
001449579 983__ $$aOnline
001449579 994__ $$a92$$bISE