Abstract # 102:

Scheduled for Saturday, September 17, 2011 07:00 PM-09:00 PM: Session 14 (Salon G (Sixth Floor)) Poster Presentation


A PROPOSED METHODOLOGY FOR CREATING A GIS DATABASE FRAMEWORK FOR THE ANALYSIS OF RED COLOBUS (PROCOLOBUS RUFOMITRATUS) HABITAT.

L. C. Loyola and R. A. Delgado
University of Southern California, 3616 Trousdale Pkwy, AHF 107, Department of Biological Sciences, Los Angeles, CA 90089, USA
line
     

Creating a geodatabase framework prior to in situ data collection is essential to the strategic planning of primate studies. It allows primatologists to incorporate Geographic Information Systems (GIS) to define both 1) data collection needs and 2) methodologies to better understand the ecological variables that affect their study subjects. This project uses the Tana River red colobus (Procolobus rufomitratus) and its forest habitats along the Tana River floodplain, Kenya, to model a GIS database. We have defined the database with four Feature Datasets (Map, LandCover, Area, Primate) that have been independently layered and have separate Feature Classes and Types. To maintain data integrity within each Feature Class, Subtypes and Domains were established to control for the “behavior” of features that impact red colobus travel and diet. Relationship Classes and Data Structure are vital components through which the geometric connectivity rules of all features were expressed. in situ data collection with a handheld Global Positioning Satellite (GPS) will geo-reference data, and regulate attributes and character state selection. Data will be incorporated in two ways: directly uploading GPS data and linking related tables converted from data sheets. Through the use of programmed GPS units and a well-developed and formatted GIS database, the field of primatology can standardize and increase the efficiency of data collection, processing and analysis to yield important findings for empirical research and conservation applications.