Abstract The effects of climate change have hit the agriculture sector in Africa hard. Making adjustments to adapt to the changing environment is critical for countries like Ethiopia, whose primary source of income is subsistence agriculture, which is heavily reliant on rainfall. As a result, establishing context-specific adaptation approaches is crucial for reducing the adverse effects of climate change. This study was conducted at Sofi district, Harari Regional State, Ethiopia, to compare the contribution of fruit tree–based agroforestry and monoculture in tackling climate change challenges. To choose two kebeles and 102 household heads, multistage random sampling was used. Soil and biomass measurements were used to collect soil samples and biomass samples. According to the findings of the study, there are significant differences in how agroforestry and monoculture smallholder farmers deal with climate change challenges in terms of livelihood strategies, with agroforestry smallholders being more resilient. Carbon stock accumulation was estimated to be 453.32 mg ha−1 in agroforestry and 124.7 mg ha−1 in monoculture, where no trees were found on monoculture land. The findings of the study demonstrated that carbon stock accumulation was statistically significant between the mean of soil organic carbon agroforestry land use. Agroforestry systems, in general, contribute significantly more to smallholder livelihoods, as well as the socioeconomic system, in the face of climate change concerns. Incorporating smallholders into an agroforestry system for long-term livelihood sustainability requires support in the form of resources, training, and research. In the face of climate change threats, local, regional, and national governments, as well as financial institutions and other agricultural credit providers, must support smallholders.
{"title":"Comparative Analysis of Fruit Tree–Based Agroforestry and Monoculture in Tackling Climate Change Challenges: Evidence from Sofi District, Ethiopia","authors":"Daba Bogale, Solomon Estifanos, Z. Asfaw","doi":"10.2478/eko-2023-0043","DOIUrl":"https://doi.org/10.2478/eko-2023-0043","url":null,"abstract":"Abstract The effects of climate change have hit the agriculture sector in Africa hard. Making adjustments to adapt to the changing environment is critical for countries like Ethiopia, whose primary source of income is subsistence agriculture, which is heavily reliant on rainfall. As a result, establishing context-specific adaptation approaches is crucial for reducing the adverse effects of climate change. This study was conducted at Sofi district, Harari Regional State, Ethiopia, to compare the contribution of fruit tree–based agroforestry and monoculture in tackling climate change challenges. To choose two kebeles and 102 household heads, multistage random sampling was used. Soil and biomass measurements were used to collect soil samples and biomass samples. According to the findings of the study, there are significant differences in how agroforestry and monoculture smallholder farmers deal with climate change challenges in terms of livelihood strategies, with agroforestry smallholders being more resilient. Carbon stock accumulation was estimated to be 453.32 mg ha−1 in agroforestry and 124.7 mg ha−1 in monoculture, where no trees were found on monoculture land. The findings of the study demonstrated that carbon stock accumulation was statistically significant between the mean of soil organic carbon agroforestry land use. Agroforestry systems, in general, contribute significantly more to smallholder livelihoods, as well as the socioeconomic system, in the face of climate change concerns. Incorporating smallholders into an agroforestry system for long-term livelihood sustainability requires support in the form of resources, training, and research. In the face of climate change threats, local, regional, and national governments, as well as financial institutions and other agricultural credit providers, must support smallholders.","PeriodicalId":11593,"journal":{"name":"Ekológia (Bratislava)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139196386","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract In this work, 13 pollution indices in 10 stations of the Struma river in the Bulgarian section are investigated: temperature (T°C), pH, dissolved oxygen (DO), oxygen saturation (SO2), electrical conductivity (EC), biological oxygen demand (BOD), permanganate oxidation (KMn3O4), ammonia nitrogen (NH3-N), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), orthophosphates (PO4), dissolved substances (DS), and unsolved substances (US). The analysis and assessment of the studied indices of pollution of the Struma river in the Bulgarian section is carried out by means of a recently proposed multi-criteria decision-making method called intercriteria decision analysis (ICDA). Application of ICDA showed that we have a degree of agreement for T°C for all stations with very few exceptions. This also applies to DO, KMn3O4, SO2 and EC. We had a degree of disagreement for all other indices. From the conducted research, it can be concluded that for all indicators, it is necessary to develop mathematical models in the studied stations according to the studied indicators of the Struma river in Bulgaria. The application of ICDA allows us to examine the correlations between individual indicators and eliminate those that are highly dependent on each other.
{"title":"An Approach for Analysis and Assessment of the Pollution Indices of the Struma River in the Bulgarian Section","authors":"M. Petrov","doi":"10.2478/eko-2023-0036","DOIUrl":"https://doi.org/10.2478/eko-2023-0036","url":null,"abstract":"Abstract In this work, 13 pollution indices in 10 stations of the Struma river in the Bulgarian section are investigated: temperature (T°C), pH, dissolved oxygen (DO), oxygen saturation (SO2), electrical conductivity (EC), biological oxygen demand (BOD), permanganate oxidation (KMn3O4), ammonia nitrogen (NH3-N), nitrite nitrogen (NO2-N), nitrate nitrogen (NO3-N), orthophosphates (PO4), dissolved substances (DS), and unsolved substances (US). The analysis and assessment of the studied indices of pollution of the Struma river in the Bulgarian section is carried out by means of a recently proposed multi-criteria decision-making method called intercriteria decision analysis (ICDA). Application of ICDA showed that we have a degree of agreement for T°C for all stations with very few exceptions. This also applies to DO, KMn3O4, SO2 and EC. We had a degree of disagreement for all other indices. From the conducted research, it can be concluded that for all indicators, it is necessary to develop mathematical models in the studied stations according to the studied indicators of the Struma river in Bulgaria. The application of ICDA allows us to examine the correlations between individual indicators and eliminate those that are highly dependent on each other.","PeriodicalId":11593,"journal":{"name":"Ekológia (Bratislava)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139194304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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