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Wyświetlanie 1-2 z 2
Tytuł:
Effect of plant Communities and Ecological Parameters on Soil Organic Carbon Stocks in the Mamora Forest, Morocco
Autorzy:
Boujraf, Amal
Dallahi, Youssef
Dahmani, Jamila
Orlando, Collins Ashianga
Douira, Allal
Powiązania:
https://bibliotekanauki.pl/articles/24201779.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
SOC stock
soil organic carbon
carbon sequestration
plant community
ecological parameter
Mamora forest
Morocco
Opis:
Several studies on the assessment of soil organic carbon (SOC) stocks have been carried out at the global level. However, reliable information on SOC stocks is not readily available at the regional level. In addition, very few studies have assessed the factors responsible for the variation of SOC stocks, in particular the effect of plant communities. For this purpose, the main objective was to analyze the effects of three plant communities and ecological parameters on the SOC stock in the Mamora forest. Specifically, the authors looked to examine the relationships between SOC stock and plant communities and to define the main parameters that directly influence SOC stock. Ten soil profiles with three replications were sampled at each plant community, from which SOC stock was determined. To assess the effect of plant communities on SOC stocks, phytosociological surveys were carried out according to the phytosociological stigma method developed by Braun-Blanquet. The results show that the SOC stocks in cork oak soils are characterized by high variability, with values ranging from 55 t•ha-1 to 95 t•ha-1. Indeed, the findings of this study showed that the SOC stocks fluctuated significantly with plant communities. In addition, SOC stocks were also affected by the interactions between plant communities, the amount of litter and the density of the cork oak stand. These outcomes of this study highlight the critical need to incorporate community-specific carbon values into future carbon sequestration modeling.
Źródło:
Journal of Ecological Engineering; 2023, 24, 5; 128--136
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Intention of the Households in Domestic Waste Classification in Vinh Chau Town, Soc Trang Province, Vietnam
Autorzy:
Giao, Nguyen Thanh
Kiet, Nguyen Tuan
Nhien, Huynh Thi Hong
Phuc, Son
Powiązania:
https://bibliotekanauki.pl/articles/2202374.pdf
Data publikacji:
2023
Wydawca:
Polskie Towarzystwo Inżynierii Ekologicznej
Tematy:
domestic solid waste
household
intention to segregate garbage
Vinh Chau town
Soc Trang province
Opis:
The study was conducted to determine the factors affecting the intention of people to segregate garbage in Vinh Chau town, Soc Trang province, Vietnam by surveying 198 households. Cronbach’s alpha analysis method, EFA analysis, and linear regression analysis were used in the study. The analysis results of Cronbach’s Alpha index, KMO and Bartlett's test showed that the questionnaire data used in the study was highly reliable and were suitable for EFA analysis. The results of linear regression analysis identified three factors including "subjective norm", "control of cognitive behavior" and "perceived level of garbage classification information" that had positive impact on intention of domestic solid waste classification of local people in Vinh Chau town, Soc Trang province, in which "subjective norm" was considered to be the most influential factor on the intention to classify domestic solid waste in the study area. Besides, the intention of the people to segregate the domestic solid waste was highly appreciated, but it has not been widely implemented in the locality. Therefore, the study proposed some governance implications based on the factors affecting the intention of people to classify household solid wastes. In particular, local authorities should pay special attention to propagating and disseminating policies and guidelines on the information of domestic solid waste and implementing a model of waste segregation at source.
Źródło:
Journal of Ecological Engineering; 2023, 24, 2; 1--11
2299-8993
Pojawia się w:
Journal of Ecological Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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