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A SPATIALLY REALISTIC MODEL FOR INFORMING FOREST MANAGEMENT DECISIONS
Citation:
Wilhere, G. F., N H. Schumaker, AND S. P. Horton. A SPATIALLY REALISTIC MODEL FOR INFORMING FOREST MANAGEMENT DECISIONS. Chapter 22, Johnson, DH; O'Neil, TA (ed.), Wildlife-Habitat Relationships in Oregon and Washington. Oregon State University Press, Corvallis, OR, , 538-544, (2001).
Description:
Spatially realistic population models (SRPMs) address a fundamental
problem commonly confronted by wildlife managers - predicting the
effects of landscape-scale habitat management on an animal population.
SRPMs typically consist of three submodels: (1) a habitat submodel,
(2) a movement submodel, and (3) a demographic submodel. We describe
the submodels and data requirements for the typical SRPM. The most
frustrating problem with SRPMs is the lack of data needed to relate
movement and demographic parameters to habitat quality. We developed
a SRPM to evaluate the relative effects of different habitat management
strategies on the spotted owl subpopulation of the Olympic Peninsula.
This case study documents some plausible assumptions we made to
circumvent the data problem, and explains the approach to parameter
tuning that we used to generate parameter values.