Relationships between land-use and chemical quality of Illinois streams /

Cover title.

The Land use and urban development impacts of beltways : final report /

Mode of access: Internet.

The Land use and urban development impacts of beltways : executive summary /

"October 1980."

The Land use and urban development impacts of beltways guidebook /

"DOT-P-30-80-39"--Cover.

Land use impacts of rapid transit : implications of recent experience : executive summary /

Issued Dec. 1977.

Land use planning.

"26 August 1988."

Influence of land use and treatment on the hydrology of small watersheds at Coshocton, Ohio, 1938-1957 /

Chiefly tables.

An economic study of land use in the Taipei area, Taiwan, 1961.

Mode of access: Internet.

Land use policy and planning assistance act. : Hearings, Ninety-third Congress, first session, on S. 268.

Hearings held Feb. 6-27 in Washington, D.C.; Apr. 2, in Phoenix, Ariz., and Apr. 3, 1973, in Tucson, Ariz.

Land use impacts of rapid transit : implications of recent experience : final report /

Report no. DOT-TPI-10-77-29.

Land use survey; proposed Point Reyes National Seashore.

Mode of access: Internet.

Drainage-return, surface-water withdrawal, and land-use data for the Sacramento-San Joaquin Delta, with emphasis on Twitchell Island, California /

Mode of access: Internet.

A national program of research for soil and land use /

Mode of access: Internet.

A way forward for land-use planning to achieve policy goals by using spatial modelling scenarios

This paper investigates how demographic (socioeconomic) and land-use (physical and environmental) data can be integrated within a decision support framework to formulate and evaluate land-use planning scenarios. A case-study approach is undertaken with land-use planning scenarios for a rapidly growing coastal area in Australia, the Shire of Hervey Bay. The town and surrounding area require careful planning of the future urban growth between competing land uses. Three potential urban growth scenarios are put forth to address this issue. Scenario A ('continued growth') is based on existing socioeconomic trends. Scenario B ('maximising rates base') is derived using optimisation modelling of land-valuation data. Scenario C ('sustainable development') is derived using a number of social, economic, and environmental factors and assigning weightings of importance to each factor using a multiple criteria analysis approach. The land-use planning scenarios are presented through the use of maps and tables within a geographical information system, which delineate future possible land-use allocations up until 2021. The planning scenarios are evaluated by using a goal-achievement matrix approach. The matrix is constructed with a number of criteria derived from key policy objectives outlined in the regional growth management framework and town planning schemes. The authors of this paper examine the final efficiency scores calculated for each of the three planning scenarios and discuss the advantages and disadvantages of the three land-use modelling approaches used to formulate the final scenarios.

Regional patterns of agricultural land use and deforestation in Colombia

An expanding human population and associated demands for goods and services continues to exert an increasing pressure on ecological systems. Although the rate of expansion of agricultural lands has slowed since 1960, rapid deforestation still occurs in many tropical countries, including Colombia. However, the location and extent of deforestation and associated ecological impacts within tropical countries is often not well known. The primary aim of this study was to obtain an understanding of the spatial patterns of forest conversion for agricultural land uses in Colombia. We modeled native forest conversion in Colombia at regional and national-levels using logistic regression and classification trees. We investigated the impact of ignoring the regional variability of model parameters, and identified biophysical and socioeconomic factors that best explain the current spatial pattern and inter-regional variation in forest cover. We validated our predictions for the Amazon region using MODIS satellite imagery. The regional-level classification tree that accounted for regional heterogeneity had the greatest discrimination ability. Factors related to accessibility (distance to roads and towns) were related to the presence of forest cover, although this relationship varied regionally. In order to identify areas with a high risk of deforestation, we used predictions from the best model, refined by areas with rural population growth rates of > 2%. We ranked forest ecosystem types in terms of levels of threat of conversion. Our results provide useful inputs to planning for biodiversity conservation in Colombia, by identifying areas and ecosystem types that are vulnerable to deforestation. Several of the predicted deforestation hotspots coincide with areas that are outstanding in terms of biodiversity value.