American Bison - Buffalo Field Campaign
American Bison - Buffalo Field Campaign
American Bison - Buffalo Field Campaign
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2. Determine the required scope of model.<br />
Single or multiple species?<br />
Age or stage structured?<br />
One or more population units?<br />
Spatially homogeneous or with spatial structure?<br />
What is the geographical extent?<br />
Are animal-habitat feedbacks necessary?<br />
3. Evaluate existing software and decide whether to use an<br />
existing programme or to construct a new model. Considerable<br />
time and money can be saved by using “off the shelf” software,<br />
such as RAMAS (http://www.ramas.com/software.htm),<br />
Vortex (Lacy 1993), ALEX (Possingham et al. 1992), or another<br />
modelling environment.<br />
4. Collect necessary data and estimate model parameters.<br />
This can be a huge step. Data will be needed to estimate mean<br />
vital rates and realistic estimates of variance. Ecosystem or<br />
habitat models will require much additional information to<br />
determine carrying capacity and animal-ecosystem feedbacks.<br />
Most population-habitat models used for PVA will include<br />
catastrophes, estimates of variance in habitat carrying capacity,<br />
and specific assumptions on the form and process of density<br />
dependence.<br />
5. Construct, calibrate, and run the model. Evaluate model<br />
results. Considerable effort may be required to understand and<br />
comprehensively evaluate model inputs, and to understand<br />
model results. Output from a simulation exercise usually<br />
includes huge quantities of data that will need to be reduced,<br />
summarised, and presented in an understandable form.<br />
6. Package results in a digestible and understandable format.<br />
This is a vastly underappreciated problem, and it will be much<br />
easier if the model objectives were clear and concisely stated at<br />
the outset.<br />
7. Ralls et al. (Table 25.4 in Ralls et al. 2002) provide a specific<br />
checklist for evaluating the quality of a PVA, and this checklist<br />
applies equally well to many additional conservation modelling<br />
exercises. They provide “yes-no” questions that focus on model<br />
objectives, model structure, data and parameter estimation,<br />
analysis of model outcomes, handling of model uncertainty,<br />
interpretation, and peer review. These criteria provide a sound<br />
framework for helping to ensure models are constructed and<br />
used in an appropriate fashion.<br />
9.8 Conclusions<br />
While many topics are addressed in this chapter, effective<br />
management of bison ultimately relies on the judicious<br />
application of common sense and good judgement. When<br />
bison have access to sufficient space and forage, and are left<br />
relatively undisturbed, they are more than fully capable of taking<br />
care of themselves. Nonetheless, most bison will not experience<br />
natural conditions that include wide-open spaces and intact<br />
predator communities, so we hope the guidelines provided will<br />
support science-based management programmes that lead<br />
to more effective conservation and restoration of bison. These<br />
guidelines focus on widespread common management issues—<br />
population management, disease, and genetic management.<br />
These guidelines and principles will ensure that key issues are<br />
addressed, and citations will help managers find more detailed<br />
information that may be necessary to accommodate specific<br />
situations.<br />
<strong>American</strong> <strong>Bison</strong>: Status Survey and Conservation Guidelines 2010 101