Whether discussing habitat placement for the northern spotted
owl or black-tailed prairie dog or strategies for controlling
exotic pests, this book explains how capturing ecological
relationships across a landscape with pragmatic optimization models
can be applied to real world problems. Using linear programming,
Hof and Bevers show how it is possible for the researcher to
include many thousands of choice variables and many thousands of
constraints and still be quite confident of being able to solve the
problem in hand with widely available software. The authors'
emphasis is to preserve optimality and explore how much ecosystem
function can be captured, stressing the solvability of large
problems such as those in real world case studies.