Prediction and assessment of marine fisheries carbon sink in China based on a novel nonlinear grey Bernoulli model with multiple optimizations.

Adaptive cumulative series Compound Simpson Grey Bernoulli model Grey wolf optimization Marine fisheries carbon sink Potential assessment and prediction

Journal

The Science of the total environment
ISSN: 1879-1026
Titre abrégé: Sci Total Environ
Pays: Netherlands
ID NLM: 0330500

Informations de publication

Date de publication:
03 Jan 2024
Historique:
received: 11 07 2023
revised: 17 12 2023
accepted: 28 12 2023
medline: 6 1 2024
pubmed: 6 1 2024
entrez: 5 1 2024
Statut: aheadofprint

Résumé

The vigorous development of marine fisheries carbon sinks (MFCS) has become a momentous pathway to mitigate global warming and effectively cope with the climate crisis. Deservedly, based on clarifying mechanism of carbon sequestration, this paper designs a research paradigm for predicting and evaluating the potential of MFCS. Specifically, a novel nonlinear grey Bernoulli model, namely MFCSNGBM(1,1), is proposed by innovatively mining the original data law through adaptive cumulative series and introducing the compound Simpson formula to optimize background values. More precisely, we utilize a heuristic Grey Wolf Optimization algorithm to find the best power index, which enhances the adaptability. To prove usefulness and robustness of MFCSNGBM(1,1) model, yields of seven common shellfishes (oyster, clam, mussel, scallop, razor clam, bloody clam, and snail) and three main algae (kelp, pinnatifid undaria, and laver) are predicted and compared with six competing models. Based on prediction results, new model has the most accurate predictions, with all prediction errors being <10 %, and thus can achieve effective prediction of shellfish and algae production from 2022 to 2025. Further, the capacity and potential of MFCS in China are scientifically evaluated using a removable carbon sink model, considering various yield levels and biological parameters of shellfish and algae. The assessment results show that during the sample period, China's marine fisheries carbon sinks steadily increased with an annual growth rate of 57,000 tons. From 2022 to 2025, with support of policy of MFCS and improvement of disaster prevention and mitigation capacity, the potential of MFCS will be further released. The growth rate of MFCS will be increased to 94,000 tons per year, and its overall scale is expected to reach 2,198,245 tons by 2025, equivalent to fixing 8.06 million tons of CO2. The carbon sink's economic value is significantly estimated to be over 400 billion yuan.

Identifiants

pubmed: 38181964
pii: S0048-9697(23)08399-7
doi: 10.1016/j.scitotenv.2023.169769
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

169769

Informations de copyright

Copyright © 2023. Published by Elsevier B.V.

Auteurs

Xuemei Li (X)

School of Economics, Ocean University of China, Qingdao 266100, China; Institute of Marine Development, Ocean University of China, Qingdao 266100, China.

Jin Yang (J)

School of Economics, Ocean University of China, Qingdao 266100, China.

Yufeng Zhao (Y)

Institute of Marine Development, Ocean University of China, Qingdao 266100, China; School of Management, Ocean University of China, Qingdao 266100, China.

Shiwei Zhou (S)

School of Economics, Ocean University of China, Qingdao 266100, China; Institute of Marine Development, Ocean University of China, Qingdao 266100, China. Electronic address: zhoushiwei1213@stu.ouc.edu.cn.

Yajie Wu (Y)

College of Engineering, Ocean University of China, Qingdao 266100, China. Electronic address: yajiewu@ouc.edu.cn.

Classifications MeSH