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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/21930
Title: Evaluating landscape capacity to provide spatially explicit valued ecosystem services for sustainable coastal resource management
Authors: Sannigrahi S.
Joshi P.K.
Keesstra S.
Paul S.K.
Sen S.
Roy P.S.
Chakraborti S.
Bhatt, Sandeep
Published in: Ocean and Coastal Management
Abstract: Ecosystem Services (ESs) are the direct and indirect benefits and opportunities that human obtained from the ecosystem. This study evaluated landscape capacity of providing multiple key ESs in a tropical coastal ecosystem (Sundarbans Biodiversity Region (SBR)India). Multiple supervised machine learning algorithms were utilized to classify the regions into several landscape zones. The provisioning capacities of ESs for each landscape type were derived separately from an expert opinion survey and the remote sensing based methods, and the association of the outcomes between these two approaches was evaluated using the Pearson correlation coefficient test. A total of nine ESs were selected to quantify their economic values for several reference years. The benefit transfer and equivalent value coefficient approaches were used to aggregate the economic values for each ES. Research results indicated that the water bodies are the most important landscape units in the SBR region. This ecosystem has the highest relevant capacity to provide the necessary regulatory, supporting, provisioning, and cultural ESs. Water regulation (WR), waste treatment (WT), aesthetic, recreation, and cultural (ARC), and climate regulation (CR) are the main ESs of the SBR. These services are immensely important not only for upgrading the livelihood status of coastal communities but also for the climatic and environmental suitability of the Kolkata urban region. The correlation results between the remote sensing and expert-based capacity estimates have suggested that the proposed remote sensing approach could be an alternative to evaluate the landscape capacity of providing multiple ESs in any given ecosystem. Except for the mangrove region, a very high (>0.7) correlation was observed between the model and expert-derived capacity values. The outcome of this study could be an important reference to the land administrators, planners, decision makers for adopting suitable land resource management plans for sustainable uses of natural resources in coastal region. © 2019 Elsevier Ltd
Citation: Ocean and Coastal Management, 182
URI: https://doi.org/10.1016/j.ocecoaman.2019.104918
http://repository.iitr.ac.in/handle/123456789/21930
Issue Date: 2019
Publisher: Elsevier Ltd
Keywords: Biodiversity
Climate regulation
Coastal management
Ecosystem services
Gas regulation
Landscape
ISSN: 9645691
Author Scopus IDs: 57194157685
35195919400
8510883000
57158262100
57202436128
56909353000
57196062430
57192093677
Author Affiliations: Sannigrahi, S., Department of Architecture and Regional Planning, Indian Institute of Technology Kharagpur721302, India
Joshi, P.K., School of Environmental Sciences (SES), Jawaharlal Nehru University, New Delhi, 110067, India
Keesstra, S., Soil, Water and Land-use Team, Wageningen University and Research, Droevendaalsesteeg 3, Wageningen, 6708PB, Netherlands, Civil, Surveying and Environmental Engineering, The University of Newcastle, Callaghan2308, Australia
Paul, S.K., Department of Architecture and Regional Planning, Indian Institute of Technology Kharagpur721302, India
Sen, S., Department of Architecture and Regional Planning, Indian Institute of Technology Kharagpur721302, India
Roy, P.S., System Analysis for Climate Smart Agriculture, Innovation Systems for the Dry lands, ICRISAT, Patancheru, India
Chakraborti, S., Center for the Study of Regional Development (CSRD), Jawaharlal Nehru University, New Delhi, 110067, India
Bhatt, S., Department of Geology & Geophysics, Indian Institute of Technology Kharagpur721302, India
Funding Details: SS and SC acknowledge the University Grants Commission (UGC) for providing continuous research fellowship for carrying out the research at Indian Institute of Technology (IIT), Kharagpur (India) and Jawaharlal Nehru University, New Delhi. The authors express their sincere gratitude to the anonymous reviewers and the Editorial Board for fruitful and constructive comments to enhance the quality of the paper. University Grants Commission, UGC; Indian Institute of Technology Bombay, IITB: IIT; Jawaharlal Nehru Technological University Hyderabad, JNTUH; Indian Institute of Technology Mandi, IIT
Corresponding Author: Sannigrahi, S.; Department of Architecture and Regional Planning, India; email: srikanta.arp.iitkgp@gmail.com
Appears in Collections:Journal Publications [ES]

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