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...
Autores principales: | , , |
---|---|
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 |