Food production on the urban–rural fringe is under pressure due to competing land uses. We discuss the potential to improve resilience for urban–rural regions by enhancing food production as part of multifunctional land use. Through studies of peri-urban land in the regions of Gothenburg (Sweden), Copenhagen (Denmark) and Gent (Belgium), recent developments are analysed. Arable farming has been declining since 2000 in all three areas due to urban expansion and recreational land use changes. In city plans, networks of protected areas and green spaces and their importance for human wellbeing have been acknowledged. Policies for farmland preservation in peri-urban settings exist, but strategies for local food production are not expressed in present planning documents. Among the diversity of peri-urban agricultural activities, peri-urban food production is a developing issue. However, the competing forms of land use and the continuing high dependence of urban food on global food systems and related resource flows reduces peri-urban food production and improvements in urban food security. The positive effects of local food production need to be supported by governance aiming to improve the urban–rural relationship. The paper discusses the resilience potential of connecting urban–rural regions and re-coupling agriculture to regional food production.
Farmers’ poverty has long been of global concern, mainly in poor rather than affluent areas. The goal of this paper is to better understand the range of poverty in the context of regional differentiation and to enrich knowledge on farmers’ poverty in affluent areas and areas with good natural conditions. A questionnaire survey of poor farmers in the major grain-producing area of Changchun, Northeast China was conducted. Farmers’ poverty was studied from income poverty and multidimensional poverty by intertwining qualitative and quantitative methods. The results indicate that low education levels and poor physical health were most prevalent in poor farmers, followed by income poverty and low living standards. Governmental policies and the macroeconomic situation in the agricultural sector, non-agricultural employment, aging, cultivated land, and family size correlated closely with farmers’ poverty. The macro changes in policies and global trade liberalization in the agricultural sector impacted farmers’ income through the prices of agricultural products and subsidies and influenced the effect of cultivated land. For poor farmers, the effect of employment opportunities in villages was more significant than in urban areas. Aging remains a challenge for farmers’ poverty now and in the future.
1 May 2009 in International Journal of Remote Sensing
Land use can be defined as the intentional use of a specific piece of land resulting in patterns of ecological responses that are visible in land cover and landscape. The responses to land use often result in a heterogeneous combination of classes of land cover. Existing methods used in the classification of satellite imagery are limited in their capacity to handle categories consisting of heterogeneous or multiple land cover classes. Accordingly, a spatial relational post‐classification (SRPC) method has been developed which uses a spatial relational post‐classification of land cover classes based on the incorporation of information about identified land use qualities. This paper explains how this method works, and presents the results from a case study of the surroundings of Sötåsa village located in southern Sweden. Different land cover classes were aggregated semantically into two land use quality classes. In conclusion, it is argued that it is possible to make the semantic shift from reflectance to land use qualities using the developed method on satellite data, and that this provides considerable scope for the future analysis of land use.
Unlike modern maps, geometric maps lack a coordinate system and contain unsystematic geometric inaccuracies. This paper illuminates four aspects concerning the problem of uniting geographical information technology with old geometric maps. These are as follows: first, the origin of and geometric qualities in the representation of objects in geometric maps; second, the distortions originating from measurement techniques; third, the assumption that it is possible to find points that are the same over time for rectification in Geographic Information System (GIS); and, fourth, the extrapolation of unsystematic geometric distortions when using GIS techniques without any knowledge of the present unsystematic distortions in a map. The article presents the background of Swedish geometric maps and a hypothetical example is used to present the principle problems of using GIS techniques to rectify geometric maps. The conclusion of the paper is that systematic and unsystematic geometric distortions need to be identified and handled separately.