Colonist Land‐Allocation Decisions, Land Use, and Deforestation in the Ecuadorian Amazon Frontier

1997 ◽  
Vol 45 (4) ◽  
pp. 707-744 ◽  
Author(s):  
Francisco J. Pichon
Keyword(s):  
Land Use ◽  
Land Allocation ◽  
Ecuadorian Amazon ◽  
Allocation Decisions

Pressure on the Cuyabeno Wildlife Reserve: Development and Land Use/Cover Change in the Northern Ecuadorian Amazon

2006 ◽  
Vol 34 (10) ◽  
pp. 1831-1849 ◽  
Author(s):  
Carlos F. Mena ◽  
Alisson F. Barbieri ◽  
Stephen J. Walsh ◽  
Christine M. Erlien ◽  
Flora L. Holt ◽  
...  
Keyword(s):  
Land Use ◽  
Ecuadorian Amazon ◽  
Wildlife Reserve

Interprovincial and interannual differences in the causes of land-use fires in Sumatra, Indonesia

2003 ◽  
Vol 30 (4) ◽  
pp. 375-387 ◽  
Author(s):  
F. Stolle ◽  
E.F. Lambin
Keyword(s):  
Land Use ◽  
Cultural Landscape ◽  
Large Scale ◽  
Land Allocation ◽  
Temporal Association ◽  
Forested Areas ◽  
Production Area ◽  
Factor Interactions ◽  
In Fire ◽  
Use Factors

Despite the vast destruction caused by recent fires in Sumatra's forested areas, there have been few analyses of their spatial variability and causes. Various combinations of predisposing and land-use factors in space and time may cause fires. For each variable, fire densities were calculated to assess the spatial and temporal association between natural and cultural landscape variables and fire occurrence in four provinces in Sumatra, Indonesia for a non-dry year (1999) and a dry year (1997). This was complemented by a single multivariate logistic regression for the two years over the four provinces with fires as the dependent variable and land use and predisposing factors as independent variables. The provincial analyses showed that fires are determined by multiple, interacting factors and that these factor interactions are not the same in all provinces. In the non-dry year, the factors were only weak determinants of fires and only few determinants were common to all provinces (presence of undisturbed forests, elevation, smallholder area, land allocation to production area). In the dry year, more determinants of fires were found to be common to all provinces (presence of undisturbed forests, elevation, land allocation to production or conversion areas, presence of plantations, distance from roads). This led to the identification of pathways that increased fire probability. The first step was the allocation of land to different land-use types and stakeholders by national policies. If allocated to large-scale landowners, fires were more likely to occur in plantations, especially in the dry year. Logging concessions did not play a major role in increasing the incidence of fire. However the strongest increase in fire probability was outside the areas under use, in undisturbed forests. We conclude that areas not yet used by large-scale landowners were more prone to fire, indicating a serious threat to the remaining forests in this region.

State Land Allocation and Class Formation in Nigeria

1983 ◽  
Vol 21 (3) ◽  
pp. 461-481 ◽  
Author(s):  
Peter Koehn
Keyword(s):  
Land Use ◽  
Class Formation ◽  
Land Allocation ◽  
Domestic Economy ◽  
Valuable Resource ◽  
Military Rule ◽  
Dominant Class ◽  
Allocation Process ◽  
Powerful Means ◽  
Land Use Rights

The distribution of land-use rights both defines and shapes African political economy. Control over land can be utilised in various ways to accumulate capital for either autonomous or comprador investments in the domestic economy. The acquisition of official titles to land concomitantly affords the holder opportunities to exploit those who do not possess this valuable resource. For these reasons, command over land offers the state a powerful means of regulating access to the dominant class. This study focuses on the ways in which allocations of statutory certificates of occupancy have affected the on-going process of class formation in two northern States of Nigeria: Kano and Bauchi. We are particularly interested in identifying, through information collected from a sample of application files, those elements of the population who were admitted and denied access to the dominant class through the land-allocation process during the late military-rule period, 1976–9.

Farm-level models of spatial patterns of land use and land cover dynamics in the Ecuadorian Amazon

2004 ◽  
Vol 101 (2-3) ◽  
pp. 117-134 ◽  
Author(s):  
William K.Y Pan ◽  
Stephen J Walsh ◽  
Richard E Bilsborrow ◽  
Brian G Frizzelle ◽  
Christine M Erlien ◽  
...  
Keyword(s):  
Land Use ◽  
Land Cover ◽  
Spatial Patterns ◽  
Farm Level ◽  
Land Cover Dynamics ◽  
Ecuadorian Amazon

scholarly journals Advantages of formation non-agricultural land allocation projects based on GIS technologies

2021 ◽  
Vol 227 ◽  
pp. 05001
Author(s):  
Allabergan Babajanov ◽  
Rashid Abdiramanov ◽  
Ilhom Abdurahmanov ◽  
Utkir Islomov
Keyword(s):  
Land Use ◽  
Agricultural Land ◽  
Treatment Plant ◽  
Water Treatment Plant ◽  
Land Allocation ◽  
Key Factors ◽  
Gis Technology ◽  
Gis Technologies ◽  
Key Indicators ◽  
Official Data

Based on the collection and study of official data, the main criteria for selecting a land plot using GIS (Geographic Information System) technologies for the construction of a water treatment plant are presented. The main stages of data analysis are determined when solving the question of the location of the building using ArcGIS, ArcMap, ArcCatalog and it is scientifically proven that the use of such programs when choosing land plots for such types of construction can save in large amounts of material and labour resources. Together with these, in the conducted study, a methodology was developed and presented for the formation of a database necessary for compiling similar GIS projects, as well as a methodology for a feasibility study for the implementation of land allotment projects for the construction of various economic facilities. The advantages of using GIS technology for non-agricultural land use projects, which are the main form of inter-farm land use, which is a modern measure aimed at rational land use, are described. Key factors and key indicators, as well as expected project results.

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