Available land use/cover maps differ in their spatial extent and in their thematic, spatial, and temporal resolutions. Due to the costs of producing such maps, there is usually a trade-off between spatial extent and resolution. The only European-wide, consistent, and multi-temporal land use/cover dataset available is the CORINE Land Cover (CLC) map. Despite the value and usefulness of CLC, its minimum mapping unit (MMU) of 25 hectares considerably limits its applications at large scales of analysis.

Climate change will affect the regional ability to achieve the poverty reduction and sustainable development (SD) objectives. Thus, any action plans to achieve these objectives should make climate change policies an integral part of the development planning process. The best practices and measures of climate change policies should be implemented to ensure regional or community sustainability. In this paper, a case study that promotes the integration of carbon sequestration into sustainable forest management and rural development plan with multi-stakeholders participation is introduced.

This study aims at establishing an approach for the analysis of urban growth dynamics to support urban planning decisions in Egypt. This approach is based on the UPlan model. It acknowledges the lack of historical land use detailed data in most of the Egyptian cities and is heavily based on socioeconomic and land use patterns collected from field surveys and census data. The model is tested on Wadi El Natrun city, an urban agglomeration located on the agricultural fringes of the Nile River. Several scenarios are generated based on changes in a set of attractors, discouragements, and masks.

(1) Land‐use intensification in agricultural landscapes has led to changes in the way habitats and resources are distributed in space. Pests and their natural enemies are influenced by these changes, and by the farming intensity of crop fields. However, it is unknown whether the composition of landscapes (amount and diversity of land cover types) or their configuration (spatial arrangement of cover types) are more important for natural enemy diversity, and how they impact crop damage and yields. In addition, effects of interactions between local farming practices (organic vs.

The ESAs (Environmentally sensitive areas) procedure was recently developed in the framework of MEDALUS European project to identify desertification-sensitive areas and used in many Mediterranean countries (Greece, Portugal, Italy, Egypt). The identification of areas sensitive to desertification by using the ESAs model was carried out in the Tusciano River basin (261� km²) located in southern Italy (Campania region).

A scientific approach to urban planning is required to ensure environmental protection and ecological sustainability. This paper presents a range of urban land-use scenarios and their implications for urban development and economic demand in the Old Town of Lijiang. Using geographic information system (GIS) and questionnaire analysis, three future urban planning scenarios were created based on data and storylines for the Lijiang region. In all scenarios, urban growth arises from population increase due to tourism and economic change.

Employing the histogram matching approach, the sediment regime alteration of the upper Yangtze River was assessed and its possible causes and environmental influences were discussed. Daily sediment load and flow data from 1950 to 2008 were collected from Yichang hydrometric station. The annual sediment load series was segmented by heuristic segmentation algorithm in 1986 and 2003, and the multi-year mean values of the three phases were 5.28� ×� 10⁸, 3.89� ×� 10⁸ and 0.57� ×� 10⁸� t, respectively.

Policy frameworks for protected areas, such as the EU habitats directive, ensure that environmental monitoring takes place to assess the condition of these sites. However, this monitoring rarely extends to the wider countryside, and there is no obligation for private landowners to detect trends in habitat condition. Using the diffusion of innovations model as an analytical framework we conducted a series of semi-structured interviews to consider the uptake of habitat impact assessment methods throughout a community involved in private land use pursuits in Scotland.

The goods and services that lakes provide result from complex interactions between meteorology, hydrology, nutrient loads and in-lake processes. Hydrology and nutrient loads are, in turn, influenced by socio-economic factors such as human habitation, water abstraction and land-management, within their catchments. Models provide a means of linking these different domains and also of forecasting and evaluating the effects of different management scenarios on lakes.

This study analysed long-term land-use and land-cover change (LUCC) in a highland watershed covering an area of about 154 km² in the Blue Nile basin of Ethiopia. Two sets of panchromatic aerial photographs (1957 and 1982) and a Landsat TM image (2001) were the main input data from which three land-use and land-cover maps were produced by employing geographical information systems/remote sensing techniques. These data were complemented by some socio-economic data that were generated by using household survey, key-informant interview and group discussion methods.

With the growth of the biofuel complex, the concept of ‘marginal land’ has emerged as a term commonly associated with the promotion of agrofuels. Remote sensing and other data are used to globally characterize land as marginal based on predominantly biophysical features that render it ‘non-competitive’ for the purpose of commercial food agriculture.

Remotely sensed datasets are increasingly being used to model habitat suitability for a variety of taxa. We review habitat suitability models (HSMs) developed for both plants and animals that include remote sensing predictor variables to determine how these variables could affect model projections. For models focused on plant species habitat, we find several instances of unintentional bias in HSMs of vegetation due to the inclusion of remote sensing variables.