خيارات البحث
النتائج 1 - 4 من 4
Assemblage of encrusting organisms on floating anthropogenic debris along the northern coast of the Persian Gulf
2019
Shabani, Fatemeh | Nasrolahi, Ali | Thiel, Martin
Global concern about floating marine debris and its fundamental role in shaping coastal biodiversity is growing, yet there is very little knowledge about debris-associated rafting communities in many areas of the world's oceans. In the present study, we examined the encrusting assemblage on different types of stranded debris (wood, plastic, glass, and metal cans) along the Iranian coast of the Persian Gulf. In total, 21 taxa were identified on 132 items. The average frequency of occurrence (±SE) across all sites and stranded debris showed that the barnacle Amphibalanus amphitrite (68.9 ± 1.1%), the oyster Saccostrea cucullata (40.9 ± 0.7%), the polychaete Spirobranchus kraussii (27.3 ± 0.5%), green algae (22 ± 0.5%) and the coral Paracyathus stokesii (14.4 ± 0.7%) occurred most frequently. Relative substratum coverage was highest for A. amphitrite (44.3 ± 2.7%), followed by green algae (14.4 ± 1.5%), Spirobranchus kraussii (9.3 ± 1.3%), Saccostrea cucullata (7.6 ± 1.3%) and the barnacle Microeuraphia permitini (5.8 ± 0.9%). Despite the significant difference in coverage of rafting species on plastic items among different sites, there was no clear and consistent trend of species richness and coverage from the eastern (Strait of Hormuz) to the western part of the Persian Gulf. Some rafting species (bryozoans and likely barnacles) were found to be non-indigenous species in the area. As floating marine debris can transport non-indigenous species and increase the risk of bio-invasions to this already naturally- and anthropogenically-stressed water body, comprehensive monitoring efforts should be made to elucidate the vectors and arrival of new invasive species to the region.
اظهر المزيد [+] اقل [-]Beachgoer participation in prevention of marine litter: Using design for behavior change
2019
Much marine litter comes from land-based sources, with a significant amount coming from activities on bathing beaches. Thus, the overall focus of this exploratory research is to identify elements important for the design of beach infrastructure (i.e., trash cans (TCs)) to reduce littering behaviors. We base our investigation on principles of a relatively new approach, called Design for Sustainable Behavior. In doing so, we consider design for two user groups: bathing beachgoers and beach managers. We examined these users' perceptions of beach TCs through the use of an on-line survey of beachgoers, in-depth interviews with Israeli beach managers, a survey of international Blue Flag beach managers and a design ‘ideation’ workshop. Most importantly, we found that there is interest on the part of beach managers and other stakeholders in applying design principles to improve TCs. The findings of this study have implications for further interdisciplinary – and multidisciplinary – research on this topic.
اظهر المزيد [+] اقل [-]Anthropogenic “Litter” and macrophyte detritus in the deep Northern Gulf of Mexico
2012
Wei, Chih-Lin | Rowe, Gilbert T. | Nunnally, Clifton C. | Wicksten, Mary K.
A deep-sea trawl survey of the Northern Gulf of Mexico has documented the abundance and diversity of human-generated litter and natural detrital plant material, from the outer margin of the continental shelf out to the Sigsbee abyssal plain. Plastics were the most frequently encountered type of material. Litter and debris were encountered more frequently in the eastern than in the western GoM. Land-derived plant material was located primarily within the head of the Mississippi Canyon, whereas ocean-derived plant material was spread evenly throughout the NE GoM. Human discards were principally from ships offshore. Some of the material was contained in metal cans that sank to the sea floor, probably in order to conform to international agreements that prohibit disposal of toxic material and plastics. The Mississippi Canyon was a focal point for litter, perhaps due to topography, currents or proximity to shipping lanes.
اظهر المزيد [+] اقل [-]Modeling farmers’ responsible environmental attitude and behaviour: a case from Iran
2019
Yaghoubi Farani, Ahmad | Mohammadi, Yaser | Ghahremani, Fatemeh
There is an increasing concern over the environmental degradation caused by agricultural activities especially in developing countries which mostly linked to farmer’s behavior. Thus, this study aimed to model the responsible attitude and behavior of Iranian farmers in respect to environment. The Theory of Planned Behavior (TPB) was used as a basis for identification of the main determinants of the farmers’ responsible environmental behavior. A survey of 400 farmers in the Hamedan Province, selected through a multistage stratified random sampling method. Data was gathered using a questionnaire which its validity and reliability were confirmed by a panel of agricultural and environmental experts and calculated Cronbach’s alpha (0.65 ≤ α ≤ 0.80), respectively. Data were analyzed using structural equation modeling (SEM) to evaluate the strength of relationship between the constructs and test the overall model fit. Results of study showed that “using animal manure in the farms” was the most important behavior which farmers are responsibly doing to respect their environment but their least attention is given to “disposing cans and bottles after spraying.” Also, the fitness indices of the model revealed that the TPB partially supported the farmers’ responsible environmental behavior as perceived behavioral control and environmental attitude positively influenced the farmers’ responsible environmental behavior but there was not observed any significant influence by subjective norm. Among the additional incorporated constructs, environmental awareness, ethical commitment, and environmental concern significantly had a positive influence on farmers’ behavior by mediating role of the environmental attitude. The inclusion of new constructs in the TPB model was supported through improving the predictive power of the modified model in predicting farmers’ responsible environmental behavior.
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