Human activities as well as natural events can dramatically affect land degradation negatively or positively. In Egypt, agriculture is a key sector of the economy. Land reclamation seeks to transfer desert areas to agricultural land and support the construction of new villages. The agricultural productivity improvement of these Newlands is slow and requires considerable time due to their fragility and sensitivity to desertification.

Mangroves in Kenya provide a wide range of valuable services to coastal communities despite their relatively small total area. Studies at single sites show reductions in extent and quality caused by extraction for fuel wood and timber and clearance for alternative land use including saltpans, aquaculture, and tourism. Such studies suggest that Kenyan mangroves are likely to conform to the general global trend of declining area but there are no reliable recent estimates of either total mangrove extent or trends in coverage for the country.

Understanding the relationships between biodiversity and land-use is a key element for the development of effective conservation strategies. We studied a mid-altitude steppe-like area of Southern France, the Causse de Sauveterre, that has been grazed for many centuries. The decrease of human population during the 20th century, particularly since the end of 2nd World War, and the ongoing changes in agricultural practices may have dramatic effects on many biodiversity components of these landscapes.

As in many other developing countries, cities in Bangladesh have witnessed rapid urbanization, resulting in increasing amounts of land being taken over and therefore land cover changing at a faster rate. Until now, however, few efforts have been made to document the impact of land use and land cover changes on the climate, environment, and ecosystem of the country because of a lack of geospatial data and time-series information.

We suggest a classificatory approach for land cover analysis that integrates fuzzy set theory with permutation techniques. It represents a non parametric alternative and/or a complement of traditional multivariate statistics when data are scarce, missing, burdened with high degree of uncertainty and originated from different sources and/or times. According to this approach, the Operational Geographic Units (OGUs) in which landscape is subdivided and sampled are classified with hierarchical clustering methods.

The importance of the role of local community forestry institutions towards forest conservation is exemplified through a comparison of two adjacent areas within the Central Yucatan Peninsular Region (CYPR) in which Land-Use Cover Change (LUCC) analyses were conducted. We also used logistic regression analyses to examine key environmental, socioeconomic and institutional drivers associated with deforestation.

The Eco-Indicator 98 project aims at a complete revision of the Eco-Indicator 95 methodology. Like its predecessor, the target is to develop single scores for designers. The method now includes resources and land use. Important improvements are: the use of fate analysis, the much better definition of the damage categories concerned with human health and ecosystem health, using the PAF (Potentially Affected Fraction) and DALY (Disability Adjusted Life Years) concept, and a completely new approach to modelling resources and land use.

Deriving a priori gridded parameters is an important step in the development and deployment of an operational distributed hydrologic model. Accurate a priori parameters can reduce the manual calibration effort and/or speed up the automatic calibration process, reduce calibration uncertainty, and provide valuable information at ungauged locations. Underpinned by reasonable parameter data sets, distributed hydrologic modeling can help improve water resource and flood and flash flood forecasting capabilities.

Increasing dissolved organic carbon (DOC) concentrations in lakes, rivers and streams in northern mid latitudes have been widely reported during the last two decades, but relatively few studies have dealt with trends in DOC export. We studied the export of DOC from Finnish rivers to the Baltic Sea between 1975 and 2010, and estimated trends in DOC fluxes (both flow normalised and non-normalised). The study encompassed the whole Finnish Baltic Sea catchment area (301,000km²) covering major land use patterns in the boreal zone.

Hydrologic data from agricultural watersheds are necessary to identify long-term trends and to develop and validate hydrologic and water quality models. These types of data have been collected for 70 yr at the North Appalachian Experimental Watershed (NAEW) near Coshocton, OH. The NAEW has 19 small (0.5–3.0-ha), single-land-use watersheds for which surface runoff data have been collected year round on an event basis for various time periods since 1939. There are six large (17–123-ha), mixed-use watersheds with perennial streams where flow is measured continuously.

This article emphasizes landslide susceptibility mapping along Ghat road of Kolli hills, Tamil Nadu, India, using frequency ratio, relative effect and fuzzy gamma operator models with the help of remote sensing data and GIS technique. The purpose of the study is to generate, compare and validate landslide susceptibility zones. Landslide inventory was done with data collected from the State Highways department.

Among multiple slippage effects potentially generated in voluntary land retirement programs, this study attempts to identify one unique source of slippage. Specifically, I examine slippage caused by within-a-farm land conversion from uncultivated land to cropland. With the U.S. Agricultural Census farm-level longitudinal data on land use and enrollment in the Conservation Reserve Program (CRP), I find that an average partial-farm CRP participant converts 25% of noncropland to cropping activities as a consequence of CRP enrollment.