Mohamed Abd Alla Eltoum

18 Pages·2017·1.25 MB·English

Geo –Informatics modeling:
Eco -geographical theory; Evidence proof from Sudan
Mohammed Abd Alla Eltoum, Eltayieb Saeed Ganawa2 , Mohammed Salih Dafalla3
and Andrew Townsend Peterson4
.
*[email protected]
*Assistant professor—Sudan university of Science and Technology
, Tuesday 22 August 2017
Shariga Hall, University of Khartoum-Gama’a Avenue Khartoum Sudan
Shariqa Hall, University of Khartoum-Gama’a Avenue
Khartoum Sudan
Presentation Table of Contents
• Background- Introduction
• Aim/objectives/study area-framework
• Material and Methods
• Analysis
• Results and discussion
• Conclusion
• Acknowledgement
• References
Background- Introduction
• Different Ecological Zones were distributed
geographically around the world during the
past centuries.
• This support the occurrence, reproduction and
survival of many living biomass.
• The basic low of the Eco-geographical theory
is that the change of these living biomass
represent the change of it is ecological zone in
a diverse relation model.
• Eco geographical studies provide information
on ecological region; adaption, genetic
resources, habitat, distributions and land
cover (Quijano et al, 2011 ).
• Elements for the analysis include biotic
variables (associated species, co-occurrence
with competitors, pest, disease, herbivores
and mutualisms), vegetation, human beings
population, animals, insects and soil
microorganisms figure (1).
living
Ecogeographical
zone eco.geo.
organism
analysis
model
eco.geo.
model
Abiotic
Biotic
Factors
parameters
and variables
Figure (1): Methodology and problem characterization.
Aim/objectives/study area-framework

• To validate the theory one desert spp and it is Eco
zone were chosen to generate the model.
• Although the term eco geography presents in many
research papers, this is the first paper that build the
theory.
• The study area was Sudan. It is a northeast African
country at latitudes 14ºand 22º North and longitudes
22º and 38ºEast Figure (2).
• Figure (3.1) depicts the research strategy. From an
eco-geographical analysis of both desertification and
locust infestation distribution, models and sub-
models were developed to explain the interaction
and interrelation between these two phenomena.
Figure (3) : Study area
Expert
knowldge
Field Remote
survey sensing
conceptualization
phase
Litreature GIS
Case
reports

Figure (4): Knowledge acquisitions.
Material and Methods
• From an eco-geographical analysis of both
desertification and locust infestation
distribution, models and sub-models were
developed to explain the interaction and
interrelation between these two phenomena.