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Geographical Information Systems Applications in Ecology

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CRP 514: Introduction to GIS. Term 041 11th Offer. Course Instructor: Dr. Baqer Al-Ramadan. Jan2, 2004. Introduction. Objective. Review of Literature ... – PowerPoint PPT presentation

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Title: Geographical Information Systems Applications in Ecology


1
Geographical Information Systems Applications in
Ecology Term Paper Presentation By Abdullah
AL-Dhubeeb ID 210315 For CRP 514 Introduction
to GIS Term 041 11th Offer Course Instructor
Dr. Baqer Al-Ramadan Jan2, 2004
2
  • Introduction
  • Objective
  • Review of Literature
  • Ecological data sets
  • The role of GIS methods
  • Study limitations
  • Conclusion
  • Recommendations

3
Introduction
  • Ecology is the study of how living organisms
    interact with their environment.
  • The rapid rise in the volumes and quantity of
    ecological data collected have facilitated the
    development of GIS to handle the diversity of
    information involved.

4
Objective
  • Discuss the benefits of the GIS in applied
    aspects of ecology.
  • The type of data that can be used to run GIS in
    ecology.
  • How use GIS as a tool in studying ecological
    processed such as measuring and mapping habitat
    potential.

5
Review of Literature
Early 1900s first systematic ecological studies
which could be broken up into measurable
components and mapped as layers. 1970s The
representation and analysis of land cover are
first touched by GIS applications. 1980s the
ecological application in GIS became one of the
major area of GIS applications. Late 1980s
there are many studies have done almost in every
part of ecology.
6
Ecological data sets
  • Species location data.
  • Terrain/ land characteristics.
  • Location of conservation sites.
  • Soil types distribution.
  • Biomass data.

7
The role of GIS methods in the ecological
applications
  • Assist in estimation of the availability of
    natural resources.
  • Improving the quality of data capture.
  • Assisting visualization of changes.
  • Applying physical models and modeling changing
    environmental parameters through use of sample
    data.
  • Providing better access to environmental data.

8
Study limitations
  • Extremely large in volume because their
    collection and maintenance is carried out of the
    national or even international basis.
  • The existence of environmental databases does not
    guarantee their easy access or availability.
  • Dimensions of linear features (like roads) often
    exaggerated. Make it difficult to determine
    exactly where roads are located with respect to
    habitat or to calculate the actual area of land.

9
Study limitations (cont.d)
The existence of environmental databases does not
guarantee their easy access or availability. 1.Q
uestions of confidentiality 2.Cost 3.Inappropria
te physical storage mechanisms. 4.The highly
isolated character of many environmental data
sets. 5.Varying formats of available digital
data.
10
Conclusion
  • GIS are not new to ecology, but have been
    introduced into the profession during the last
    15 year.
  • Capture , analysis, management and display of
    ecological data are all activities that can
    greatly benefit from application of GIS.
  • The recent developments in mapping technology,
    interpolation methods, remote sensing and
    modelling have provided useful tools for GIS
    application in ecology.

11
Recommendations
  • Area of needing the technical development in the
    environmental database include
  • The development of scale-free databases (local,
    regional, national, continental and global
    scale).
  • The recognition and handling of error conditions
    in analysis and modeling (in the nature of much
    environmental data).
  • The development of icon-based interfaces to GIS
    to enable the wider use by an increasingly
    non-specialist audience.

12
Recommendations (cont.d)
  • Improving the accessibility of environmental
    databases.
  • Define and set up exchange formats for digital
    data.
  • Graphics-based spatial data retrieval, associated
    with automated
  • graphic indexing.
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