Identification of Conservation Priority Zones Using Spatially Explicit Valued Ecosystem Services: A Case from the Indian Sundarbans. (26th June 2020)
- Record Type:
- Journal Article
- Title:
- Identification of Conservation Priority Zones Using Spatially Explicit Valued Ecosystem Services: A Case from the Indian Sundarbans. (26th June 2020)
- Main Title:
- Identification of Conservation Priority Zones Using Spatially Explicit Valued Ecosystem Services: A Case from the Indian Sundarbans
- Authors:
- Sannigrahi, Srikanta
Pilla, Francesco
Basu, Bidroha
Basu, Arunima Sarkar
Zhang, Qi
Wang, Ying
Joshi, Pawan Kumar
Chakraborti, Suman
Coscieme, Luca
Keesstra, Saskia
Roy, PS
Sutton, Paul C - Abstract:
- ABSTRACT: Demarcation of conservation priority zones (CPZs) using spatially explicit models is the new challenge in ecosystem services (ESs) research. This study identifies the CPZs of the Indian Sundarbans by integrating 2 different approaches, that is, ESs and ecosystem health (EH). Five successive steps were followed to conduct the analysis: First, the ESs were estimated using biophysical and economic methods and a hybrid method (that combines biophysical and economic methods); second, the vigor–organization–resilience (VOR) model was used for estimating EH; third, the risk characterization value (RCV) of ESs was measured using the function of EH and ESs; fourth, Pearson correlation test was performed to analyze the interaction between ESs and EH components; and fifth, the CPZs were defined by considering 7 relevant components: ecosystem vigor, ecosystem organization, ecosystem resilience, RCV, EH, ESs, and the correlation between EH and ESs. Among the major ecoregions of the Sundarbans, the highest ESs value in economic terms is provided by the mangrove ecosystem (US$19 144.9 million per year). The highest conservation priority score was projected for the Gosaba block, which is dominated by dense mangrove forests. The estimated CPZs were found to be highly consistent with the existing biodiversity zonations. The outcome of this study could be a reference for environmentalists, land administrators, researchers, and decision makers to design relevant policies to protectABSTRACT: Demarcation of conservation priority zones (CPZs) using spatially explicit models is the new challenge in ecosystem services (ESs) research. This study identifies the CPZs of the Indian Sundarbans by integrating 2 different approaches, that is, ESs and ecosystem health (EH). Five successive steps were followed to conduct the analysis: First, the ESs were estimated using biophysical and economic methods and a hybrid method (that combines biophysical and economic methods); second, the vigor–organization–resilience (VOR) model was used for estimating EH; third, the risk characterization value (RCV) of ESs was measured using the function of EH and ESs; fourth, Pearson correlation test was performed to analyze the interaction between ESs and EH components; and fifth, the CPZs were defined by considering 7 relevant components: ecosystem vigor, ecosystem organization, ecosystem resilience, RCV, EH, ESs, and the correlation between EH and ESs. Among the major ecoregions of the Sundarbans, the highest ESs value in economic terms is provided by the mangrove ecosystem (US$19 144.9 million per year). The highest conservation priority score was projected for the Gosaba block, which is dominated by dense mangrove forests. The estimated CPZs were found to be highly consistent with the existing biodiversity zonations. The outcome of this study could be a reference for environmentalists, land administrators, researchers, and decision makers to design relevant policies to protect the high values of the Sundarbans ecosystem. Integr Environ Assess Manag 2020;16:773–787. © 2020 SETAC KEY POINTS: The per‐unit ecosystem service values (ESVs) were estimated using biophysical, economic, and hybrid valuation methods. Vigor–Organization–Resilience (VOR) model was utilized for evaluating ecosystem health (EH). Risk characterization values (RCVs) of ESVs and EH were calculated. Conservation priority zones (CPZs) were identified using ESVs and EH factors. The proposed conservation priority score is matched with existing knowledge. … (more)
- Is Part Of:
- Integrated environmental assessment and management. Volume 16:Number 5(2020)
- Journal:
- Integrated environmental assessment and management
- Issue:
- Volume 16:Number 5(2020)
- Issue Display:
- Volume 16, Issue 5 (2020)
- Year:
- 2020
- Volume:
- 16
- Issue:
- 5
- Issue Sort Value:
- 2020-0016-0005-0000
- Page Start:
- 773
- Page End:
- 787
- Publication Date:
- 2020-06-26
- Subjects:
- Conservation priority zones -- Ecosystem services -- InVEST -- Ecosystem health -- Nature's value
Environmental management -- Periodicals
Pollution -- Periodicals
Environmental toxicology -- Periodicals
Environmental risk assessment -- Periodicals
Environmental impact analysis -- Periodicals
628 - Journal URLs:
- http://www.bioone.org/loi/ieam ↗
http://firstsearch.oclc.org ↗
http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1551-3793 ↗
http://www.bioone.org/bioone/?request=get-archive&issn=1551-3777 ↗
http://onlinelibrary.wiley.com/ ↗ - DOI:
- 10.1002/ieam.4287 ↗
- Languages:
- English
- ISSNs:
- 1551-3777
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4531.815100
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- 13905.xml