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Considering the increasing importance of sustainable operations in the agricultural sector and the relationship between producers and consumers, the current study was to determine customers' attitudes on participation in community-supported aquaculture programs in Kurdistan province (in the west of Iran). The present study was a survey, non-experimental, applied, and descriptive-correlational research. Using a literature review and field studies, factors affecting consumers' attitudes have been extracted. Then, to determine validity, the questionnaire was given to a panel of subject matter experts. Furthermore, to assess the reliability of the research instrument, the Cronbach's alpha coefficient was calculated. The results showed the good validity and reliability of the research tool. Moreover, structural equation modeling was used to confirm the proposed model. The results showed that among the factors affecting the attitude of consumers, the price of aquatic products had the first place, which has been neglected in the previous studies. In this regard, it was suggested that by creating support funds and facilities for the participation of consumers in community-supported aquaculture programs, setting standards for healthy aquatic products, and producing programs related to the introduction of community-supported aquaculture programs on the radio and television, the attitude of the consumers can be improved., Competing Interests: Conflict of interestThe authors declare no competing interests., (© AESS 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Polycyclic aromatic hydrocarbons (PAHs) are an important group of compounds of major environmental concern, which are in the class of persistent organic pollutants. Therefore, the key purpose of this research was to analyze seasonal fluctuations and to determine the probability of polycyclic aromatic hydrocarbons in coastal sediments of the Iranian Marine Resource Center based on the evaluation of 16 US-EPA important PAH compounds. These compounds have been collected from intertidal sediments located in the marine resources of southern Iran in different seasons. These samples of the surficial sediment were collected at the PSEEZ area using a stainless steel grab sampler in four seasons, from depths between 0.5 and 30 m. Surface sediment samples were removed by spoons and carefully placed in an aluminum foil; they were taken to the laboratory on ice and held at 20° C until their study. After extraction, by using a rotary evaporator apparatus, samples were condensed. The assay was added to roughly 2 g of activated copper flasks in the refrigerator for 36 h for desulfurization. Among different seasons, the highest concentration was observed in winter, with a mean of 281.3 ng g -1 . According to ecological risk assessment (concentrations of possible effects, low effect range, degree of threshold effects, and median effect range), PAH risks in surface sediments of PSEEZ were lower than the threshold results levels (TEL), possible effects levels (PEL), low range of effects (ERL), and median range of effects (ERM), indicating that a biological effect would rarely occur. The dry weight scale of the concentration of ∑PAHs ranges from 145.7 to 348.42 ng g -1 with a mean quantity of 260.52 ng g -1 . Therefore, according to the amount of ∑PAH concentration, the sediments in the PSEEZ area indicated moderate to heavy pollutions. In this way, the sedimentary surface ecosystems of the Persian Gulf were considered as moderately polluted compared with other ecosystems worldwide. Our study highlighted some of the research gaps in PAH contamination studies and the level of PAH contamination. Therefore, this study will provide a scientific background, planning, and policies for PAH pollution control and environmental protection in Iran and similar regions around the world., (© 2021. The Author(s), under exclusive licence to Springer Nature B.V.)

The main aim of this research was to quantify the parameters related to forest situation (according to DPSIR framework) using decision-making processes and fuzzy methods in the Zagros forests of Iran. In this study, the situation factors (e.g., socioeconomic, biophysical, and environmental factors) were evaluated by fuzzy analytic hierarchy process (FAHP) using [Formula: see text]-cuts in addition to the Chang method for fuzzy pairwise comparisons. The results of the study clearly illustrate that the decision-making process is the most important input in forest management planning in the Zagros forests, Iran. In such situations, decision-making techniques can be of great help in differentiating the factors influencing decision-making and policy-making for these forests. We found that [Formula: see text]-cuts could improve the quality of the decision-making process, but only after secondary analysis. Initially, we did not find any significant difference in the results between [Formula: see text]-cuts and research results, but using the differences in rankings, we could identify a significant difference. We propose that this method, which requires lengthy calculations to get the answer, should only be used by forest managers when the quality of the results and the difference between the parameters are very important to them; otherwise, they may be able to achieve the same desired results in a much easier way., (© 2021. The Author(s), under exclusive licence to Springer Nature Switzerland AG.)

The National Biogas Policy of Ethiopia introduces plans for the implementation of biogas technologies in rural areas. However, rural households' decision to adopt biogas energy technology has been influenced by different socio-economic and institutional factors. This research was therefore undertaken to determine the actual energy consumption status and factors impacting the adoption of biogas technology by rural households in northwestern Ethiopia. Primary data from 182 randomly chosen households and 15 key informants were obtained. Different databases, such as journal articles, annual accounts, and unpublished papers, were used to gather secondary data. The data were analyzed using social science statistical package (SPSS 21st edition) tools using descriptive statistics, chi-square test, and independent-sample t-test. The results indicated that about 84.2% of the households have been using traditional biomass fuels (fuelwood, agricultural crop residue, dung cake, and charcoal) for baking Enjera and heating while the remaining 17.6% of the households have been using biogas energy. The kerosene lamp, battery cell, small size solar panel, and biogas were energy sources for lighting. The higher installation costs, inadequate water availability, shortage of cow dung, and lack of awareness were the main factors that hinder biogas installation in the study site. An independent sample t-test result revealed a statistically significant mean difference of the average time spent (in hours) to collect fuelwood per week between biogas technology adopters (M = 9.563, SD = 4.697) and non-adopters (M = 11.887, SD = 4.703; t (180) = 2.539, p = 0.012). In addition, findings of the binary logistic regression showed that education, access to markets, heads of cattle, and electronic media were the principal factors affecting biogas technology adoption significantly in the study area., Competing Interests: The authors declare no conflict of interest., (© 2021 Published by Elsevier Ltd.)

In order to foster the potential of exclosures to sequester carbon, it is understood that they are increasingly assisted through enrichment planting. To study the impact of the enrichment planting on carbon sequestration process, five exclosures with enrichment planting and five pure naturally regenerated exclosures were selected. Along parallel transects, 20 × 20 m plots were laid at 100 m intervals where all woody vegetations were counted and measured for their diameter and total height. For soil sampling, five subplots at the center and four at each corner of the plots were established. The samples were collected at a depth of 0-0.2 m, and this procedure was repeated for each plot. In this case, when good management practices were implemented (such as Wukro exclosures), significant differences in organic soil carbon above the ground and the total carbon between naturally regenerated and enriched exclosures (P < 0.05) were found. The mean estimates of the above ground carbon, soil carbon, and total carbon were respectively 8.08, 31.04, and 39.12 ton/ha for natural regeneration vs. 7.94, 31.00, and 38.93 ton/ha for enriched regeneration. Lower altitudes had significantly higher soil organic carbon (P < 0.05) than the higher altitudes. However, the slope had an insignificant effect on carbon distribution. Enriched exclosures performed more poorly in carbon sequestration. This was possibly due to the disturbances caused by mass plantation and poor post plantation follow up, since improved performance (P < 0.05) was seen in one enriched exclosure with better management practices.

It has become important in the fields of environmental impact assessment (EIA) and resilience assessment that both disciplines begin to be considered together as complementary approaches aimed at achieving the same goals. There is a great advantage to combining the EIA methodology with a synergetic concept such as resilience, and thereby contributing to a more insightful and effective EIA process. A comprehensive approach is vital for effective assessment and management of environmental impacts and to support better decision making with regard to different planned interventions and socioecological systems. In this paper, we advocate for a hybrid environmental assessment model that combines EIA and resilience assessment. This proposed assessment approach expands the capacity of EIA to evaluate and manage the uncertainties and unexpected outcomes associated with human and natural environmental impacts. Integr Environ Assess Manag 2018;14:567-570. © 2018 SETAC., (© 2018 SETAC.)

This study focuses on four textile industries (DH-GEDA, NOYA, ALMHADI, and ALSAR) established between 2005 and 2008 in the peri-urban areas of Dukem and Gelan. The objectives of the study were to generate baseline information regarding the concentration levels of selected pollutants and to analyze their effects on biophysical environments. This study also attempts to explore the level of exposure that humans and livestock have to polluted effluents and the effects thereof. The findings of this study are based on data empirically collected from two sources: laboratory analysis of sample effluents from the four selected textile plants and quantitative as well as qualitative socioeconomic data collection. As part of the latter, a household survey and focus group discussions (FGDs) with elderly and other focal persons were employed in the towns of Dukem and Gelan. The results of the study show that large concentrations of biological oxygen demand (BOD 5 ), chemical oxygen demand (COD), total suspended solids (TSS), and pH were found in all the observed textile industries, at levels beyond the permissible discharge limit set by the national Environmental Protection Authority (EPA). Furthermore, sulfide (S 2) , R-phosphate (R-PO 4 3 ), and Zn were found in large concentrations in DH-GEDA and ALMHADI, while high concentrations were also identified in samples taken from ALSAR and ALMHADI. In spite of the clear-cut legal tools, this study shows that the local environment, people, and their livestock are exposed to highly contaminated effluents. We therefore recommend that the respective federal and regional government bodies should reexamine the compliance to and actual implementation of the existing legal procedures and regulations and respond appropriately.