Full text: Proceedings; XXI International Congress for Photogrammetry and Remote Sensing (Part B4-1)

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences. Vol. XXXVII. Part B4. Beijing 2008 
74 
http://www.odyssey.ursus.maine.edu/gisweb/gisabout.html). 
Definitions can change rapidly and they vary according to who 
is giving them. The definitions of the early 1990s were 
functional in nature. They focused on what a GIS could do and 
what it would produce. Now definitions tend to address issues 
like “information strategies” and adding values to data. The 
range of views of GIS has increased over the last few years, in 
response to the expansion of the market for GIS and the 
applications to which it has been applied (Heywood et al, 
1998). 
1.3 The Role of Geographic Information Systems (GIS) 
When the habitat requirements of a species includes several 
factors, the information about habitat requirements may be 
combined by computer maps of each required habitat 
characteristic, using geographic information systems. This 
allows us to see the habitat patches as perceived by the species. 
In various case studies, we used this approach to model 
metapopulations of threatened species. 
Current GIS applications in conservation biology and wildlife 
management include various aspects of habitat description, 
delineation and monitoring. Conservation biologists and 
wildlife managers are concerned with questions that involve 
predicting the future of endangered and threatened species 
(Akçakaya, 1992). Such questions include: 
• Is it better to prohibit hunting or to provide more habitat 
for African elephants? 
• Is captive breeding and réintroduction to natural habitat 
patches a viable strategy for conserving black-footed ferrets? If 
so, is it better to reintroduce 100 black-footed ferrets to one 
habitat patch or 50 each to two habitat patches? 
• Is it worthwhile to relocate endangered helmeted 
honeyeaters from their current populations to empty habitat 
patches to spread the risk of local extinctions? 
• Is it better to preserve one large fragment of old-growth 
forest, or several smaller fragments of the same total area? 
• Is it better to add another habitat patch to the nature reserve 
system, or enhance habitat corridors to increase dispersal among 
existing patches? 
To use GIS to determine the spatial structure with this approach, 
first it is necessary to distinguish the habitat characteristics 
important for the species. That can be done by collecting habitat 
and species occurrence data at a large number of locations in the 
landscape. The data then may be analyzed with multiple 
regression, which gives a function (called the habitat suitability 
function) that links the habitat characteristics to the suitability 
of the habitat. In the case of the helmeted honeyeater for 
example, the variables of this function will be the presence of 
ground water, density of Eucalyptus trees, and the amount of 
decortication of their bark 
(http://www.ramas.com/gisworld.htm). 
1.4 Applications of GIS technology 2 
GIS are now used extensively in government, academic, non 
profit and business for a wide range of environmental resource 
analysis and landuse planning applications. GIS technology 
employs computer software to link tabular databases to map 
graphics, allowing users to quickly visualize their data. This can 
be in the form of generating maps, on-line queries, producing 
reports, or performing spatial analysis 
(http://www.sara.nysed.gov/pubs/gis/sevencon.htm) 
2 See Appendix 2 
2. THE MODEL 
Preparing data for Animal Movement is relatively “easy”. The 
program can directly utilize Point Shape files, which can import 
point data from delimited text, dBase files, SQL databases, and 
many CAD and GIS file structures. Each model consists of 
several elements: 
1) A transforming surface - a GIS layer based on a single 
environmental feature such as elevation, streams, roads, 
etc.; 
2) A weighting protocol - weights are assigned to each 
element on the transforming surface based on a 
preconceived concept on the ecological impact of that 
feature on animal dispersal; 
3) A cost surface - a surface created by the GIS that defines 
each pixel on the transforming surface based on it’s 
cumulative weight (cost) from a chosen starting point like 
a population center, to a specific endpoint; and 
4) A dispersal path—a route drawn across the cost surface 
based on choosing the lowest cumulative cost to move 
between two specified points on that surface. 
Digital databases to be used in the models include digital 
elevation model (DEM), digital line graph (DLG), vegetation 
(based on Soil Conservation Service DLG data), and landuse 
boundaries 
(http://www.absc.usgs.gov/glba/gistools/Anim_Mov_UseMe.pd 
f; http://www.ncgia.ucsb.edu/conf/SANTA_FE_CD- 
ROM/sf_papers/gillian_bowser/ncgia2.html). 
2.1 Main Constraints and Problems 3 with the Current 
Use of GIS 
(Bretas, http://www.idrc.ca/books/focus/766/bretas.html) 
2.1.1 Cost 
Costs are currently the main constraint to the use of GIS. 
Software is relatively expensive in relation to the budgets. 
Expansion of GIS use will probably decrease its cost. In the 
meantime, a compromise would be to use available shareware, 
or to have a software tailored for use in control programs by a 
nonprofit organization. 
2.1.2 Adequate Training 
There exists at present a lack of trained personal. The new 
windowed interfaces, however, are easier to use and will speed 
up the process of training. Computing skills are useful in the 
labour market; consequently, staff from control programs 
should be willing to be trained. 
2.1.3 GIGO (Garbage in, Garbage out) 
GIS is not a tool designed to increase the quality of data. 
Frequently, much of the data collected is not used. GIS use 
could lead to a relaxation in data collection and consolidation. It 
is necessary to review all the steps in the information flow to 
guarantee quality and adequacy. 
2.1.4 Misinformation and Misinterpretation * • 
3 Some other factors driving the Environmental Industry 
(http://www.esri .com/industries/environment/trends. html) 
• Economic Uncertainty 
• Pollution Prevention 
• Cost and Services 
• Federal Markets 
• Commercial Markets 
• Project Cost, Length, and Size 
• Maturation
	        
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