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.