CONTEXT: Integrative mitigation and adaptation strategies are needed to counter climate change. Indicators can be valuable that focus on the specific relevance of cities’ socioeconomic and spatial properties. While previous analyses have identified socioeconomic influences on urban greenhouse gas emissions, information about the role of spatial urban structures and land use and land cover patterns is sparse. OBJECTIVE: This study advances the use of spatial metrics for analyzing the linkages between the spatial properties of a city and its greenhouse gas emissions.

Since the reform and opening-up, China’s economy has achieved remarkable development and so does the urbanization. However, there is an unavoidable contradiction between urban sprawl and the protection of arable land and the environment. By redefining the urban sprawl boundary, this paper is to provide a solution for the conflict above on the China’s urbanization context. The ideal boundary, moderate boundary and limit boundary are defined for urban sprawl in space.

German nobility took an important role in Livonia, Estonia and Courland territorial development. During from the period 1870-1913 Riga was the largest export port in Russia province with 550 thousand inhabitants. Towns and large rural population difference resulted Latvian strongly developed agriculture, industry and urbanization. Strong turbulence time began with the year 1905, followed by years of war, and finally in 20 years of the 20th century the agrarian land reform ended in Estonia, Livonia and Latvia.

After the downfall of the socialist economic system in 1990, Albania underwent an agriculture reform in 1992. After the reform execution, all agricultural land was redistributed among village residents. The subsequent land segmentation lead to extreme agriculture production implications.Gjocaj Commune is located in the centre of Albania at the Peqin District part of the Elbasan Region, which is a typical agricultural area, very close to Tirana and not far from the Adriatic seashore.

Urbanization is the most typical form of land use/cover change, and exploration of the driving mechanism of urban growth and the prediction of its future changes are very important for achieving urban sustainable development. In view of the ability of a multi-agent system to simulate a complex spatial system and from the perspective of combining macroscopic and microscopic decision-making behaviors of agents, a spatiotemporal dynamical urban growth simulation model based on the multi-agent systems has been developed.

Regional climate is influenced by land surface processes through energy exchange between land and atmosphere at various scales. The performance of climate model simulation is largely influenced by land cover parameterization, especially over areas that experience rapid change of land surface characterization. Accurate land cover datasets suited for climate modeling are urgently needed to improve model parameterization for better simulation.

Increasing land utilization through diverse forms of human activities, such as agriculture, forestry, urban growth, and industrial development, has led to negative impacts on the water quality of rivers. To find out how catchment attributes, such as land use, hydrologic soil groups, and lithology, can affect water quality variables (Ca²⁺, Mg²⁺, Na⁺, Cl⁻, HCO₃⁻, pH, TDS, EC, SAR), a spatio-statistical approach was applied to 23 catchments in southern basins of the Caspian Sea.

Understanding the intimate dynamics of urban–wildland interfaces in Mediterranean landscapes is particularly challenging because of multiple biophysical factors (dry or arid climate, low-quality soils, poor vegetation cover) determining an increased environmental sensitivity to human pressure. Although dense and compact cities were sprawling rapidly in the most recent decades, many suburban areas in southern Europe still preserve biodiversity-rich habitats, traditional crop mosaics and high-quality relict forest stands.

Land cover classifications of coarse-resolution data can aid the identification and quantification of natural variability and anthropogenic change at regional scales, but true landscape change can be distorted by misrepresentation of map classes. The Lerma–Chapala–Santiago (LCS) is biophysically diverse and heavily modified by urbanization and agricultural expansion.

Mapping urban expansion and impervious surfaces (IS) has become a useful tool for supporting watershed assessments. The lack of large-area time-series maps created the need to develop an approach and products that can easily be scaled. In this research application, 81 Landsat 1, 2, and 5 scenes for the epochs of 1975, 1985, and 1996 were used to map urban land use/land cover across New England, USA.

The present study was aimed to investigate how and to what extent urban land surface temperature (ULST) is affected by spatial pattern of green cover patch in an urban ambient in Isfahan, Iran. To materialize the effects of spatial pattern of green cover on ULST, Landsat ETM + image data on May 5, 2002 was acquired to be processed for ULST estimation and to generate Land Use/Land Cover (LULC) classes.

Urbanization alters watershed ecosystem functioning, including nutrient budgets and processes of nutrient retention. It is unknown, however, how variation in stormwater infrastructure design affects the delivery of water and materials from urban watersheds. In this study, we asked: (1) How does stormwater infrastructure design vary over time and space in an arid city (Phoenix, Arizona, USA)?, and (2) How does variation in infrastructure design affect fluxes of dissolved nitrogen (N), phosphorus (P), and organic carbon (DOC) from urban watershed ecosystems?