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Ecosystem service benefits and costs of deep-sea ecosystem restoration.

Authors :
Chen, Wenting
Wallhead, Philip
Hynes, Stephen
Groeneveld, Rolf
O'Connor, Eamon
Gambi, Cristina
Danovaro, Roberto
Tinch, Rob
Papadopoulou, Nadia
Smith, Chris
Source :
Journal of Environmental Management. Feb2022, Vol. 303, pN.PAG-N.PAG. 1p.
Publication Year :
2022

Abstract

Deep-sea ecosystems are facing degradation which could have severe consequences for biodiversity and the livelihoods of coastal populations. Ecosystem restoration as a natural based solution has been regarded as a useful means to recover ecosystems. The study provides a social cost-benefit analysis for a proposed project to restore the Dohrn Canyon cold water corals and the deep-sea ecosystem in the Bay of Naples, Italy. By incorporating ecosystem service benefits and uncertainties related to a complex natural-technological-social system surrounding restoration activities, the study demonstrated how to evaluate large-scale ecosystem restoration activities. The results indicate that an ecosystem restoration project can be economic (in terms of welfare improvement) even if the restoration costs are high. Our study shows the uncertainty associated with restoration success rate significantly affects the probability distribution of the expected net present values. Identifying and controlling the underlying factors to improve the restoration successful rate is thus crucial. • Apply SCBA to evaluate large-scale ecosystem restoration activities. • Large-scale deep-sea ecosystem restoration can be economic even if costs are high. • Important to consider uncertainties surrounding complex restoration situations. • Use a Markov model to tackle uncertainties associated with restoration success rate. • Parameter uncertainty affects the probability distribution of net present value. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
03014797
Volume :
303
Database :
Academic Search Index
Journal :
Journal of Environmental Management
Publication Type :
Academic Journal
Accession number :
154243291
Full Text :
https://doi.org/10.1016/j.jenvman.2021.114127