Cargando…

A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy

One of the most important and continuously growing research areas in marine ecology is assessing the sustainability of ecosystems. The concept is traditionally approached by quantifying different anthropogenic pressures, such as top-down effects, overexploitation, invasive species, overfishing, and...

Descripción completa

Detalles Bibliográficos
Autores principales: Yao, Haihui, Huang, Jianping, Li, Junhua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377855/
https://www.ncbi.nlm.nih.gov/pubmed/35978587
http://dx.doi.org/10.1155/2022/2412588
_version_ 1784768420232822784
author Yao, Haihui
Huang, Jianping
Li, Junhua
author_facet Yao, Haihui
Huang, Jianping
Li, Junhua
author_sort Yao, Haihui
collection PubMed
description One of the most important and continuously growing research areas in marine ecology is assessing the sustainability of ecosystems. The concept is traditionally approached by quantifying different anthropogenic pressures, such as top-down effects, overexploitation, invasive species, overfishing, and pollution. However, this perspective has been criticized for its inability to capture the complex interactions between natural factors (such as climate change), human factors, and sociopolitical factors that shape ecosystems. In this paper, we present a new structural model for assessing the sustainability of marine ecosystems, PCA-DEA-based model, as an extension to current models that incorporates these key interfaces into dynamic system modeling by including trade-offs on horizontal scales (e.g., decision making).
format Online
Article
Text
id pubmed-9377855
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher Hindawi
record_format MEDLINE/PubMed
spelling pubmed-93778552022-08-16 A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy Yao, Haihui Huang, Jianping Li, Junhua J Environ Public Health Research Article One of the most important and continuously growing research areas in marine ecology is assessing the sustainability of ecosystems. The concept is traditionally approached by quantifying different anthropogenic pressures, such as top-down effects, overexploitation, invasive species, overfishing, and pollution. However, this perspective has been criticized for its inability to capture the complex interactions between natural factors (such as climate change), human factors, and sociopolitical factors that shape ecosystems. In this paper, we present a new structural model for assessing the sustainability of marine ecosystems, PCA-DEA-based model, as an extension to current models that incorporates these key interfaces into dynamic system modeling by including trade-offs on horizontal scales (e.g., decision making). Hindawi 2022-08-08 /pmc/articles/PMC9377855/ /pubmed/35978587 http://dx.doi.org/10.1155/2022/2412588 Text en Copyright © 2022 Haihui Yao et al. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Yao, Haihui
Huang, Jianping
Li, Junhua
A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy
title A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy
title_full A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy
title_fullStr A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy
title_full_unstemmed A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy
title_short A PCA-DEA-Based Model for Assessing the Sustainability of Marine Economy
title_sort pca-dea-based model for assessing the sustainability of marine economy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377855/
https://www.ncbi.nlm.nih.gov/pubmed/35978587
http://dx.doi.org/10.1155/2022/2412588
work_keys_str_mv AT yaohaihui apcadeabasedmodelforassessingthesustainabilityofmarineeconomy
AT huangjianping apcadeabasedmodelforassessingthesustainabilityofmarineeconomy
AT lijunhua apcadeabasedmodelforassessingthesustainabilityofmarineeconomy
AT yaohaihui pcadeabasedmodelforassessingthesustainabilityofmarineeconomy
AT huangjianping pcadeabasedmodelforassessingthesustainabilityofmarineeconomy
AT lijunhua pcadeabasedmodelforassessingthesustainabilityofmarineeconomy