As the most intuitive manifestation of land use/land cover change, the spatio-temporal evolution of landscape patterns has significant implications for optimizing regional landscape pattern and land use management. Based on multi-period remote sensing data, we selected an optimal scale (570 m) and used the geographic detector model to analyze the spatio-temporal changes in the landscape pattern of a typical hilly area (Yujiang District, Yingtan City, Jiangxi Province) in southern China.

As the most intuitive manifestation of land use/land cover change, the spatio-temporal evolution of landscape patterns has significant implications for optimizing regional landscape pattern and land use management. Based on multi-period remote sensing data, we selected an optimal scale (570 m) and used the geographic detector model to analyze the spatio-temporal changes in the landscape pattern of a typical hilly area (Yujiang District, Yingtan City, Jiangxi Province) in southern China.

Land use change reflects fundamental transformations in society. To better understand factors contributing to current land use changes in Alabama, we expand on existing land use studies by employing a generalized least-square method nested in a system of equations for the analysis. We correct for endogeneity issues in our paper by incorporating a control function technique. Using repeated land use data from 1990–2018, we focus on analyzing factors affecting land use changes among timberland, agricultural, urban, and conservation land use types.

As the most intuitive manifestation of land use/land cover change, the spatio-temporal evolution of landscape patterns has significant implications for optimizing regional landscape pattern and land use management. Based on multi-period remote sensing data, we selected an optimal scale (570 m) and used the geographic detector model to analyze the spatio-temporal changes in the landscape pattern of a typical hilly area (Yujiang District, Yingtan City, Jiangxi Province) in southern China.

Land requisition and resettlement of migrants are two major parts of flood control projects. After a large land area was allocated for flood control projects, livelihood resilience of resettlers became a great challenge. In this paper, Puyang County, Taiqian County, and Fan County, Henan Province, China, are chosen for a household survey. An index system to assess farming households’ livelihood resilience is constructed. After that, regression analysis and variance analysis are adopted to examine influencing factors of resettlers’ livelihood resilience.

Modeling land use and land cover (LULC) change is important for understanding its spatiotemporal trends and plays a crucial role in land use planning and natural resources management. To this end, this study assessed the spatiotemporal characteristics of the LULC changes in Urumqi city between 1980 and 2020. In addition, future LULC was successfully projected for 2030 and 2050 under different scenarios based on the FLUS model. This model was validated using actual and simulated land use data for 2020.

Land requisition and resettlement of migrants are two major parts of flood control projects. After a large land area was allocated for flood control projects, livelihood resilience of resettlers became a great challenge. In this paper, Puyang County, Taiqian County, and Fan County, Henan Province, China, are chosen for a household survey. An index system to assess farming households’ livelihood resilience is constructed. After that, regression analysis and variance analysis are adopted to examine influencing factors of resettlers’ livelihood resilience.

The Human Mobility Transition model describes shifts in mobility dynamics and transport systems. The aspirational stage, ‘human urbanism’, is characterised by high active travel, universal public transport, low private vehicle use and equitable access to transport. We explored factors associated with travel behaviour in Africa and the Caribbean, investigating the potential to realise ‘human urbanism’ in this context. We conducted a mixed-methods systematic review of ten databases and grey literature for articles published between January 2008 and February 2019.

Recent debates regarding marketization have focused on the relationship between the state and the market, while the grassroots and their everyday experiences have arguably been understudied. In this paper, we study marketization with the example of land marketization in China. Out of concern for the grassroots’ perspective, we investigate Chinese farmers’ perceptions with regard to stable land ownership of farmland, which are essential for land marketization in the backdrop of intensive land use conversion in China’s urban periphery.

Nigeria is the second largest poultry industry in Africa, with its poultry industry the most commercialized livestock sub-sector. Despite its significance, the farmers still experience economic losses due to disease outbreaks. Hence, the application of standard Health Management Practices (HMPs) is very important, as these practices improve the welfare of animals and increase animal production and farmers’ income. This paper examined the determinants of HMP’s utilization and its effect on poultry farmers’ income in Ondo State, Nigeria.

The urbanisation in the Global South provides opportunities for improved rural livelihoods in the vicinity of cities, but these opportunities do not automatically occur. The literature shows that urban expansion leads to more intensive land use around cities and a shift of production towards high-value products. However, competition for land around growing cities can lead to increasing socioeconomic vulnerability in affected areas, particularly for those who have no or weak land ownership or tenancy rights.

The growing population in informal settlements expedites alterations in land use and land cover (LULC) over time. Understanding the patterns and processes of landscape transitions associated with informal settlement dynamics in rapidly urbanizing cities is critical for better understanding of consequences, especially in environmentally vulnerable areas. The study sought to map and systematically analyze informal settlement growth patterns, dynamics and processes, as well as associated LULC transitions in Durban Metropolitan area, from 2015 to 2021.