The aim of the study was to determine the effects of land use management on changes in the fecal contamination of water in the Łyna River, one of the main lowland watercourses in the southern watershed of the Baltic Sea (northern Poland). A total of 120 water samples were collected in different seasons of 2011 and 2012 at 15 sites where the river intersected forest (FA), agricultural (AA), and urbanized (UA) areas.

Land-use land-cover (LULC) changes are one of the major threats to biodiversity worldwide, since their principal consequences are the loss, fragmentation or degradation of the habitat available for most species. Therefore, in order to provide guidelines for environmental management at the regional scale and thus reverse the trend in degradation, transformations of natural remnants into anthropogenic land uses must be identified and quantified.

This article analyses the impact of soil sealing associated with three decades of urban growth in the Mediterranean coastal municipality of Elche (Alicante, Spain) on local soil resources. Geographical Information System (GIS) and remote sensing (RS) techniques were used to obtain and analyse different types of thematic information relating to urban growth and soil resources (soil class, land use capability, and physiographic classes).

Watersheds are useful templates for wetland protection and land use planning because they integrate cumulative effects that better inform site-specific management decisions. The goal of this study was to demonstrate application of a three-tiered assessment paradigm in the San Gabriel watershed (Los Angeles County, California) that incorporates monitoring at varying spatial scales and intensities.

BACKGROUND: For agricultural systems to achieve climate-smart objectives, including improved food security and rural livelihoods as well as climate change adaptation and mitigation, they often need to be take a landscape approach; they must become ‘climate-smart landscapes’. Climate-smart landscapes operate on the principles of integrated landscape management, while explicitly incorporating adaptation and mitigation into their management objectives.

Predicting some Agroclimatic Data Using Empirical Models. The lack of climatic data in large areas of Africa is a major drawback in the efficient planning of land resources use. The objective of this study is to fill that gap whenever necessary, by estimating climatic data with empirical models using geographic parameters of the site such as its latitude, longitude, altitude and month of the year. Data from 66 agroclimatological stations were used, covering a region stretching between latitude 2 and 14N, longitude 3 and 23E, and altitude 13 to 1890 m.

Land use and ecosystem services need to be assessed simultaneously to better understand the relevant factors in sustainable land management. This paper analyzed land use changes in the middle reach of the arid Heihe River Basin in northwest China over the last two decades and their impacts on water resources and soil organic carbon (SOC) storage.

Government policies intended to reduce flood losses can increase the potential for catastrophe by stimulating development inside the floodplain, a phenomenon referred to as the “safe development paradox.” New Urbanist design has the potential to both exacerbate and alleviate flood risks. Because they are built at relatively high densities, New Urbanist developments can exacerbate risk by placing more people and property in harm's way.

Developers are entrepreneurs that initiate and carry out land development projects. They play an active dominant and leading role in land use planning decisions, and are, therefore, expected to have a significant impact on patterns of development and open space conservation. The present study identified correlations between characteristics of developers and indicators of open space conservation, based on a random sample of 88 statutory land use plans in the Tel Aviv metropolitan region over the period 1990–1999.

The aim of the presented study is to assess the fractal dimension (D) and the geometrical characteristics (length and width) of the landslides identified in North of Tehran, Iran. At first, the landslide locations (528 landslides) were identified by interpretation of aerial photographs, satellite images and field surveys, and then to calculate the fractal dimension (D), we used the computer programming named as FRACEK. In the next step, geometrical characteristics of each landslide such as length (L) and width (W) were calculated by ArcGIS software.