Simulation Planning for Sustainable Use of Land Resources: Case study in Diamou

Abstract

Abstract:In this study, we presented the simulation planning scheme to project land and land resources use changes at a local scale for Diamou (MALI). Problem statement: All the land cover types were under the influence of human and livestock population. Diamou has undergone changes in land-cover over the last decades. The shifting cultivation system practiced was probably the main reason for this state of affairs. Moreover, the dryness and extensive character of pastoral activities had contributed to the general degradation of natural resources. The principal objective of our study was to contribute to the sustainable use of land resources from 1999-2010. Approach: Using formula the resources supply and demand had been estimated based on statistics data, derived from a comprehensive review of the literature. The resources balance (difference between supply and demand) had been estimated for two years 1999 and 2010.The resources demand were measured by an average consumption needs person −1 day −1 multiplied by the population. For the livestock population the biomass demand and supply had been measured based on TLU dietary requirements and the pastureland carrying capacity. The diagram of resources balances were drawn using word Microsoft word command and the simulation land use areas schema using ArcGIS. Results: From present approach, it was found, that, in year 1999 the fuel wood and cereal balances were negative. The drink water and biomass balances were positive. The dominant land use categories were the pastureland and the cropland, occupying about 52 and 45% of total area respectively of the total area 8876 ha. Except the biomass balance in year 2010, all the resources balance were negative. The drink water and fuel wood deficits were equal to 439 and 2801 m³ respectively. The dominant land use class, a cropland covered approximately 45% of total area. Conclusion: Studies had indicated the cereal, fuel wood and drink water resources deficit in years 1999 and 2010.

Land use Type Pattern and Woody Species Composition Near Human Disturbed Landscapes on Mount Makiling, Luzon Island

“…This is especially the case if anthropogenic disturbance regimes are rather severe (Heryati et al, 2011a;Muniandy et al, 2009;Gandaseca et al, 2009). The result would be various land use type patterns (Alfred et al, 2010;Yacouba et al, 2009). Modern vegetation patterns have been shaped and continue to respond to varying degrees of human impacts (Heryati et al, 2011a;Elhadi et al, 2009).…”

Modeling of Multi-Level Capacitated Lot-Size Scheduling Problem

“…The approach has broad similarities with the work of Singhtaun and Charnsethikul (2010) except that by excluding setup time and cost they handle a problem that is easier to solve. Abdullah et al (2009), Yacouba et al (2009) adopted a cyclic approach but do so by examining permutation schedules.…”

“…It combines the requirements and the production orders in the planning horizon. Furthermore, lot-sizing rules do not provide the correct period for placing the requirements but they determine the quantity of orders for a part or finished product (Yacouba et al, 2009;Vijay and Manoharan, 2010).…”

Creating a Geographical Information Systems-based Spatial Profile for Exploring Health Services Supply and Demand

“…For example, GIS plays a key and important role in preparing Prayer time map (Aghighi et al, 2008) and it is used for simulation planning for sustainable use of land resources (Yacouba et al, 2009) and for analyzing the concept of spatialfunction in courtyard house layout and its influence to the cultural and social activities (Mustafa and Hassan, 2010). In addition, Liaghat and Balasundram (2010) indicated that Precision Agriculture (PA) can now based on innovative systems approach and these new systems approach depends on a combination of fundamental technologies such as Geographic Information System (GIS), Global Positioning System (GPS), computer modeling, ground based/airborne/satellite remote sensing, variable rate technology and advanced information processing for timely in-season and between season crop management.…”