{"title":"Dataset on field estimation of vegetation cover loss due to charcoal production in Afram Plains of Ghana","authors":"Thelma Arko","doi":"10.1016/j.dib.2024.111022","DOIUrl":null,"url":null,"abstract":"<div><div>The impact of urban charcoal consumption on tree cover loss in Ghana remains understudied, with limited data and inconsistent methodologies hindering a comprehensive understanding. This data article addresses these gaps by presenting a valuable dataset on charcoal production and its environmental implications in the Afram Plains of Ghana. A systematic data collection process was undertaken, encompassing 29 charcoal production sites across four communities: Tease, Odumasua, Anlo Fasso, and Forifori. Semi-structured interviews with community elders, chiefs, and charcoal producers provided insights into the historical context and local knowledge of charcoal production activities.</div><div>The dataset includes a wealth of information, such as land use characteristics, the number of trees utilized for charcoal production, and measurements of tree stump diameters, lengths, and volumes. Local names and scientific identification of tree species were recorded, offering a detailed understanding of the vegetation impacted by charcoal production.</div><div>The potential for reuse of this dataset is significant. Researchers can utilize the information to further explore the complex dynamics between charcoal production and tree cover loss develop evidence-based policies, and promote sustainable alternatives. By making this dataset publicly available, we encourage its reuse to support interdisciplinary research, enhance understanding of charcoal production's environmental footprint, and inform decision-making processes aimed at preserving Ghanaʼs valuable vegetation cover.</div></div>","PeriodicalId":10973,"journal":{"name":"Data in Brief","volume":"57 ","pages":"Article 111022"},"PeriodicalIF":1.0000,"publicationDate":"2024-10-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Data in Brief","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352340924009843","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
The impact of urban charcoal consumption on tree cover loss in Ghana remains understudied, with limited data and inconsistent methodologies hindering a comprehensive understanding. This data article addresses these gaps by presenting a valuable dataset on charcoal production and its environmental implications in the Afram Plains of Ghana. A systematic data collection process was undertaken, encompassing 29 charcoal production sites across four communities: Tease, Odumasua, Anlo Fasso, and Forifori. Semi-structured interviews with community elders, chiefs, and charcoal producers provided insights into the historical context and local knowledge of charcoal production activities.
The dataset includes a wealth of information, such as land use characteristics, the number of trees utilized for charcoal production, and measurements of tree stump diameters, lengths, and volumes. Local names and scientific identification of tree species were recorded, offering a detailed understanding of the vegetation impacted by charcoal production.
The potential for reuse of this dataset is significant. Researchers can utilize the information to further explore the complex dynamics between charcoal production and tree cover loss develop evidence-based policies, and promote sustainable alternatives. By making this dataset publicly available, we encourage its reuse to support interdisciplinary research, enhance understanding of charcoal production's environmental footprint, and inform decision-making processes aimed at preserving Ghanaʼs valuable vegetation cover.
期刊介绍:
Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.