An evaluation of the marine environmental resilience to the north of Qeshm Island

• Published in: Environmental monitoring and assessment 2021-12, Vol.193 (12), p.859-859, Article 859
• Main Authors: Ghasemi, Sarvin, Javid, Amir Hossein, Farsad, Forough, Robati, Maryam, Farshchi, Parvin
• Format: Article
• Language: English
• Subjects: Atmospheric Protection/Air Quality Control/Air Pollution; Biodiversity; Coastal zone; Coastal zones; Cognitive ability; Cognitive maps; Correlation; Earth and Environmental Science; Ecology; Economics; Ecosystems; Ecotoxicology; Environment; Environmental economics; Environmental Management; Environmental monitoring; Environmental science; Frameworks; Littoral environments; Marine environment; Monitoring/Environmental Analysis; Multivariate statistical analysis; Regional development; Resilience; Scientists; Socioeconomic factors; Sustainability; Tourism; Weight
• ISSN: 0167-6369; 1573-2959
• DOI: 10.1007/s10661-021-09627-5

There is always an adamant need to comprehend and draw the complex challenges of sustainability in order to help organize studies, due to the increasing human-related pressures on coastal zones. Hence, by formulating such a comprehensive framework, it could be possible to anticipate changes and support managerial decisions, as well as the degree of resilience of the region’s environment. One of the approaches utilized in littoral or coastal zones is the conceptual framework of drivers, pressure, status, impact, and responses (DPSIR)..Qeshm Island, the largest island in the Persian Gulf, is accounted for being the most vital and strategic areas of the mentioned region. In recent decades, Qeshm has become one of the major cultural, natural, geological, and tourism hubs of the country due to its unique regional characteristics, along with its biodiversity and environmental sensitivity. Thereby, in the present research, a combined approach shall be followed to explore the resilience of the marine environment on the northern coast of Qeshm Island by taking advantage of the socioeconomic criterion. In this respect, the conceptual framework of the DPSIR model is utilized in combination with the structural equation model (SEM-PLS) (or partial least squares), which is one of the nonexperimental techniques, to quantify the results in the best manner possible. On the basis of the fuzzy cognitive map (FCM), the regional economic index bearing the weights of 0.62, 0.62, and 0.5, along with an institutional-managerial and biological index, respectively, denotes a two-way positive correlation, whereas this factor has a two-way, but adverse correlation, relationship with a weight of 0.65 in terms of the sociocultural index. Similarly, there is also a one-way and negative relationship, as to the economic index, with a weight of 0.69 which is in relevance with the physio-chemical index.