To provide useful and meaningful information, long-term ecological programs need to implement solid and efficient statistical approaches for collecting and analyzing data. This volume provides rigorous guidance on quantitative issues in monitoring, with contributions from world experts in the field. These experts have extensive experience in teaching fundamental and advanced ideas and methods to natural resource managers, scientists, and students. The chapters present a range of tools and approaches, including detailed coverage of variance component estimation and quantitative selection among alternative designs; spatially balanced sampling; sampling strategies integrating design- and model-based approaches; and advanced analytical approaches such as hierarchical and structural equation modelling. Making these tools more accessible to ecologists and other monitoring practitioners across numerous disciplines, this is a valuable resource for any professional whose work deals with ecological monitoring. Supplementary example software code is available online at www.cambridge.org/9780521191548.

The Great Plains were once characterized by vast expanses of grass, complex interdependence among species, and dynamic annual changes due to weather, waterways, and fire. It is now generally accepted that less than one percent of the original tallgrass prairie remains. Habitat fragmentation, the loss of natural predator-prey associations, changes in species composition, and various commercial practices continue to threaten grassland biodiversity. Recently scholars and conservationists have discussed opportunities for large-scale restoration projects in the Great Plains, but they have provided few details. Daniel Licht offers here a bold new approach to restoring and conserving the grassland ecosystem. In describing hypothetical reserves, he explains how they could help conserve grassland biodiversity, reduce federal expenditures on agriculture, increase recreational opportunities, and sustain rural economies outside the reserves.

To provide useful and meaningful information, long-term ecological programs need to implement solid and efficient statistical approaches for collecting and analyzing data. This volume provides rigorous guidance on quantitative issues in monitoring, with contributions from world experts in the field. These experts have extensive experience in teaching fundamental and advanced ideas and methods to natural resource managers, scientists and students. The chapters present a range of tools and approaches, including detailed coverage of variance component estimation and quantitative selection among alternative designs; spatially balanced sampling; sampling strategies integrating design- and model-based approaches; and advanced analytical approaches such as hierarchical and structural equation modelling. Making these tools more accessible to ecologists and other monitoring practitioners across numerous disciplines, this is a valuable resource for any professional whose work deals with ecological monitoring. Supplementary example software code is available online at www.cambridge.org/9780521191548.