Examining effects of climate change and land use dynamic on biophysical and economic values of ecosystem services of a natural reserve region
Ecosystem Service Valuation (ESV) is a process of evaluating and quantifying the monetary values of ESs and their functions. Using both biophysical and spatially explicit integrated models, biophysical and monetary values of key Ecosystem Services (ESs) were estimated in the Sundarbans Biosphere Reg...
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| Published in | Journal of cleaner production Vol. 257; p. 120424 |
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| Main Authors | , , , , , , , , , , , |
| Format | Journal Article |
| Language | English |
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Elsevier Ltd
01.06.2020
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| Abstract | Ecosystem Service Valuation (ESV) is a process of evaluating and quantifying the monetary values of ESs and their functions. Using both biophysical and spatially explicit integrated models, biophysical and monetary values of key Ecosystem Services (ESs) were estimated in the Sundarbans Biosphere Region (SBR), India. Quantification was made both in time series (1982–2017) and individual years (1973, 1988, 2003, 2013, 2018, 2025, 2035, 2045) to understand the impact of climate change and land-use dynamics on the long-term ecological status of the region. The monetary and biophysical values of the ESs were then obtained from Net Primary Productivity (NPP) models, Integrated Valuation of Ecosystem Services and Trade-offs (InVEST), and Cellular Automata Markov Chain Model (CA-Markov). NPP increased significantly during the first half period (1982–1999), but significantly declined during the second period (2000–2017). The highest estimated ESVs (US$ ha−1) was found for habitat service (30780), nutrient cycling (12626), and gas regulation (7224.81), whereas, lower ESVs were approximated for water regulation (347.81), raw material production (777.82) and waste treatment (13.57) services. Among the nine ESs evaluated, climate regulation, gas regulation, and disturbance regulation were the most important regulating services of the SBR. The combined effects of climate change and land-use dynamics on ESs are much stringent in a vulnerable region like the SBR. Most of the regulating services were closely associated with the fluctuation of land use land cover input. Thus, land management policies and land reform strategies that will encourage the conversion of productive land, especially the highly productive mangrove forest, for the development or any other financial benefits, would disturb the ideal human-nature balance of this ecosystem. The outcomes of this study also provide an important reference to the land administrators, researchers, and decision-makers to comprehend the expected social-ecological juxtaposition in a protected natural reserve region like the Sundarbans.
•5 ecosystem models were utilized for estimating the carbon sequestration.•Both biophysical and spatially explicit models were used for estimating ecosystem services (ESs).•10 machine learning models were utilized for land use land cover classification.•ESs were estimated for future scenarios.•Spatial and non-spatial trade-offs and synergies among the ESs were evaluated. |
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| AbstractList | Ecosystem Service Valuation (ESV) is a process of evaluating and quantifying the monetary values of ESs and their functions. Using both biophysical and spatially explicit integrated models, biophysical and monetary values of key Ecosystem Services (ESs) were estimated in the Sundarbans Biosphere Region (SBR), India. Quantification was made both in time series (1982–2017) and individual years (1973, 1988, 2003, 2013, 2018, 2025, 2035, 2045) to understand the impact of climate change and land-use dynamics on the long-term ecological status of the region. The monetary and biophysical values of the ESs were then obtained from Net Primary Productivity (NPP) models, Integrated Valuation of Ecosystem Services and Trade-offs (InVEST), and Cellular Automata Markov Chain Model (CA-Markov). NPP increased significantly during the first half period (1982–1999), but significantly declined during the second period (2000–2017). The highest estimated ESVs (US$ ha⁻¹) was found for habitat service (30780), nutrient cycling (12626), and gas regulation (7224.81), whereas, lower ESVs were approximated for water regulation (347.81), raw material production (777.82) and waste treatment (13.57) services. Among the nine ESs evaluated, climate regulation, gas regulation, and disturbance regulation were the most important regulating services of the SBR. The combined effects of climate change and land-use dynamics on ESs are much stringent in a vulnerable region like the SBR. Most of the regulating services were closely associated with the fluctuation of land use land cover input. Thus, land management policies and land reform strategies that will encourage the conversion of productive land, especially the highly productive mangrove forest, for the development or any other financial benefits, would disturb the ideal human-nature balance of this ecosystem. The outcomes of this study also provide an important reference to the land administrators, researchers, and decision-makers to comprehend the expected social-ecological juxtaposition in a protected natural reserve region like the Sundarbans. Ecosystem Service Valuation (ESV) is a process of evaluating and quantifying the monetary values of ESs and their functions. Using both biophysical and spatially explicit integrated models, biophysical and monetary values of key Ecosystem Services (ESs) were estimated in the Sundarbans Biosphere Region (SBR), India. Quantification was made both in time series (1982–2017) and individual years (1973, 1988, 2003, 2013, 2018, 2025, 2035, 2045) to understand the impact of climate change and land-use dynamics on the long-term ecological status of the region. The monetary and biophysical values of the ESs were then obtained from Net Primary Productivity (NPP) models, Integrated Valuation of Ecosystem Services and Trade-offs (InVEST), and Cellular Automata Markov Chain Model (CA-Markov). NPP increased significantly during the first half period (1982–1999), but significantly declined during the second period (2000–2017). The highest estimated ESVs (US$ ha−1) was found for habitat service (30780), nutrient cycling (12626), and gas regulation (7224.81), whereas, lower ESVs were approximated for water regulation (347.81), raw material production (777.82) and waste treatment (13.57) services. Among the nine ESs evaluated, climate regulation, gas regulation, and disturbance regulation were the most important regulating services of the SBR. The combined effects of climate change and land-use dynamics on ESs are much stringent in a vulnerable region like the SBR. Most of the regulating services were closely associated with the fluctuation of land use land cover input. Thus, land management policies and land reform strategies that will encourage the conversion of productive land, especially the highly productive mangrove forest, for the development or any other financial benefits, would disturb the ideal human-nature balance of this ecosystem. The outcomes of this study also provide an important reference to the land administrators, researchers, and decision-makers to comprehend the expected social-ecological juxtaposition in a protected natural reserve region like the Sundarbans. •5 ecosystem models were utilized for estimating the carbon sequestration.•Both biophysical and spatially explicit models were used for estimating ecosystem services (ESs).•10 machine learning models were utilized for land use land cover classification.•ESs were estimated for future scenarios.•Spatial and non-spatial trade-offs and synergies among the ESs were evaluated. |
| ArticleNumber | 120424 |
| Author | Pilla, Francesco Zhang, Qi Joshi, P.K. Paul, Saikat Kumar Sutton, Paul C. Roy, P.S. Basu, Bidroha Sen, Somnath Wang, Ying Jha, Shouvik Sannigrahi, Srikanta Keesstra, Saskia |
| Author_xml | – sequence: 1 givenname: Srikanta surname: Sannigrahi fullname: Sannigrahi, Srikanta email: srikanta.sannigrahi@ucd.ie organization: Department of Architecture and Regional Planning, Indian Institute of Technology, Kharagpur, 721302, India – sequence: 2 givenname: Qi surname: Zhang fullname: Zhang, Qi organization: The Frederick S. Pardee Center for the Study of the Longer Range Future, Boston University, Boston, MA, 02215, USA – sequence: 3 givenname: P.K. surname: Joshi fullname: Joshi, P.K. organization: School of Environmental Sciences (SES), Jawaharlal Nehru University, New Delhi, 110067, India – sequence: 4 givenname: Paul C. surname: Sutton fullname: Sutton, Paul C. organization: Department of Geography and the Environment, University of Denver, 2050 East Iliff, Avenue, Denver, CO, 80208-0710, USA – sequence: 5 givenname: Saskia surname: Keesstra fullname: Keesstra, Saskia organization: Soil, Water and Land-use Team, Wageningen University and Research, Droevendaalsesteeg3, 6708PB, Wageningen, Netherlands – sequence: 6 givenname: P.S. surname: Roy fullname: Roy, P.S. organization: System Analysis for Climate Smart Agriculture, Innovation Systems for the Dry Lands, ICRISAT, Patancheru, India – sequence: 7 givenname: Francesco surname: Pilla fullname: Pilla, Francesco organization: School of Architecture, Planning and Environmental Policy, University College Dublin Richview, Clonskeagh, Dublin, D14 E099, Ireland – sequence: 8 givenname: Bidroha surname: Basu fullname: Basu, Bidroha organization: School of Architecture, Planning and Environmental Policy, University College Dublin Richview, Clonskeagh, Dublin, D14 E099, Ireland – sequence: 9 givenname: Ying surname: Wang fullname: Wang, Ying organization: School of Public Administration, China University of Geosciences, Wuhan, 430074, China – sequence: 10 givenname: Shouvik surname: Jha fullname: Jha, Shouvik organization: Indian Centre for Climate and Societal Impacts Research (ICCSIR), Kachchh, Gujarat, 370465, India – sequence: 11 givenname: Saikat Kumar surname: Paul fullname: Paul, Saikat Kumar organization: Department of Architecture and Regional Planning, Indian Institute of Technology, Kharagpur, 721302, India – sequence: 12 givenname: Somnath surname: Sen fullname: Sen, Somnath organization: Department of Architecture and Regional Planning, Indian Institute of Technology, Kharagpur, 721302, India |
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| Title | Examining effects of climate change and land use dynamic on biophysical and economic values of ecosystem services of a natural reserve region |
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