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Rural communities in Ghana, dependent on agriculture and lacking resources and infrastructure, are highly vulnerable to climate and environmental change. Internal migration is often considered as a strategy to mitigate local livelihood constraints. Understanding the challenges of rural communities requires knowledge of local conditions. As only few studies have mapped vulnerable areas in the context of migration in Ghana at a spatially explicit and nationwide level, this study provides a geodata-based examination of how rural areas in Ghana are vulnerable to multiple, co-occurring socio-economic and environmental factors influencing migration. A multifactorial and expert-based weighted overlay analysis was applied, integrating diverse data sources including climate, remote sensing, and recent census data from Ghana. Bivariate maps visualize vulnerable areas where a high impact of the factors coincides with a high rural population density. High levels of factor impact are observed in the northern regions and coastal areas of Ghana. Relatively low impact is found in more central parts of the country. The results align with current net migration rates, confirming the applicability of our method for assessing rural internal migration. This method enhances the understanding of migration dynamics in Ghana and emphasizes the role of spatial data in migration studies. • Spatial data is used to map vulnerability and assess rural migration in Ghana. • The study integrates expert-weighted socio-economic and environmental factors. • The results of the weighted overlay analysis are combined with rural population density. • High migration likelihood is found in vulnerable areas in northern and coastal regions. • The results largely align with current net migration rates, confirming the method's applicability. [ABSTRACT FROM AUTHOR]

Peri-urbanisation is a dynamic process consisting primarily of the expansion of artificial areas into natural, semi-natural, and agricultural areas. This process reduces peri-urban open spaces, thus it is threatening peri-urban biodiversity and hampers the provision of ecosystem services. In this manuscript, we introduced the concept of peri-urban open spaces and exemplified it on the level of regional policy-making in the following six European case study regions: Basque Country (Spain), Flanders (Belgium), Gorenjska (Slovenia), Hajdú-Bihar (Hungary), Mazovia (Poland), and Saxony-Anhalt (Germany). Our study aimed (1) to analyse land cover changes related to peri-urban open spaces in the case study regions, (2) to identify and classify policy improvements that are useful to protect peri-urban open spaces, and (3) to provide recommendations for regional policy instruments to improve the protection of peri-urban open spaces. We designed a mixed-method approach combining Geographical Information Systems, an explorative questionnaire, and a semi-quantitative survey to fulfil our research aims. Our results showed that peri-urban open spaces are decreasing in all case study regions but with different scale and dynamics over time. Mostly (non-irrigated) arable land was transformed into non-peri-urban open space. Moreover, we identify 15 policy improvements that are suitable to support the protection of peri-urban open spaces at the level of regional policy-making. Our results indicated a potential for improving the regulatory instruments and showed the usefulness of multi-level governance that better address the protection of peri-urban open spaces at regional level. Using our research results, we provided recommendations for regional policy-makers who are willing to pay more attention to the protection of peri-urban open spaces. • We provide a concept and analysis of peri-urban open spaces. • A mixed-method approach was applied to six European regions. • Mainly green urban areas and leisure facilities are threatened by land cover changes. • Multi-level governance, green-blue corridors and re-use of brownfields are needed. • Regulatory instruments need to integrate better the protection of open spaces. [ABSTRACT FROM AUTHOR]

• Between 1954 and 2017, natural vegetation was replaced mainly by crops. • The population of trees per plots is related to the income of the land users. • Inherited land showed higher fragmentation among plots with land ownership. • The right to transfer ownership has no impact on the proportion of trees per plot. Land as an essential resource is becoming increasingly scarce due to population growth. In the case of the Kenyan coast, population pressure causes land cover changes in the Arabuko Sokoke Forest, which is an important habitat for endangered species. Forest and bushland have been changed to agricultural land in order to provide livelihood for the rural population who are highly dependent on small-scale farming. Unclear land rights and misbalanced access to land cause uncontrolled expansion and insecure livelihoods. Secure land rights are crucial to improve living conditions for the local smallholders. Socio-economic and land tenure conditions were assessed in a study area close to Malindi in south-east Kenya to understand the human-induced changes in land cover. A combination between biophysical and socio-economic methods was used to identify the relationship between land cover change, land tenure and other socio-economic factors. Analyses in Geographic Information System (GIS) were chosen to examine in historical photographs and recent satellite imagery land cover changes between 1954 and 2017. This analysis was combined with quantitative questionnaires conducted on-site in 2017 and 2018 to identify factors influencing the land cover changes and especially to analyze the effects of land tenure on sustainable land use to reduce further land conversion. Moreover, this study statistically investigated the impact of land tenure issues on the tree population of the respective land plots using non-parametric tests as well as dependency analyses. We found significant relationships between the income of the interviewees and the tree population on land plots. It also appears that the fragmentation of land cover on a plot differs between respondents who have inherited their land and respondents who have purchased their land. [ABSTRACT FROM AUTHOR]