Population Harvesting

Whether in felling trees for wood, rearing insects for biological control, or culling animals for conservation purposes, efficient management of biological systems requires quantitative analysis of population growth and harvesting policies. Aiming to encourage the exchange of ideas among scientists involved in the management of fisheries, wildlife, forest stands, and pest control, the authors of this work present a general framework for modeling populations that reproduce seasonally and that have age or stage structure as an essential component of management strategy. The book represents the first time that examples from such diverse areas of biological resource management have been brought together in a unified modeling framework using the standard notation of mathematical systems theory. In addition, the authors combine a nonlinear extension of Leslie matrix theory and certain linear elements, thereby permitting interesting analytical results and the creation of compact, realistic simulation models of resource systems.

Whether in felling trees for wood, rearing insects for biological control, or culling animals for conservation purposes, efficient management of biological systems requires quantitative analysis of population growth and harvesting policies. Aiming to encourage the exchange of ideas among scientists involved in the management of fisheries, wildlife, forest stands, and pest control, the authors of this work present a general framework for modeling populations that reproduce seasonally and that have age or stage structure as an essential component of management strategy. The book represents the first time that examples from such diverse areas of biological resource management have been brought together in a unified modeling framework using the standard notation of mathematical systems theory. In addition, the authors combine a nonlinear extension of Leslie matrix theory and certain linear elements, thereby permitting interesting analytical results and the creation of compact, realistic simulation models of resource systems.

Whether in felling trees for wood, rearing insects for biological control, or culling animals for conservation purposes, efficient management of biological systems requires quantitative analysis of population growth and harvesting policies. Aiming to encourage the exchange of ideas among scientists involved in the management of fisheries, wildlife, forest stands, and pest control, the authors of this work present a general framework for modeling populations that reproduce seasonally and that have age or stage structure as an essential component of management strategy. The book represents the first time that examples from such diverse areas of biological resource management have been brought together in a unified modeling framework using the standard notation of mathematical systems theory. In addition, the authors combine a nonlinear extension of Leslie matrix theory and certain linear elements, thereby permitting interesting analytical results and the creation of compact, realistic simulation models of resource systems.

This project began in 1993 with a request from the Northeast Wildlife Administrators Association to the Northeast Wild Turkey Technical Committee "to identify the minimum set of information needed to properly manage wild turkey populations and facilitate state standardization of methods and protocols for data collection within the region." The Technical Committee is composed of the wild turkey project leaders from the northeastern United States and the Province of Ontario. The Wildlife Administrators represent state and provincial agencies with authority for managing wildlife.-- p.2.

Harvest of Fish and Wildlife: New Paradigms for Sustainable Management unites experts in wildlife and fishery sciences for an interdisciplinary overview of harvest management. This book presents unique insights for embracing the complete social-ecological system to ensure a sustainable future. It educates users on evolutionary and population dynamics; social and political influences; hunter and angler behavior; decision processes; impacts of regulations; and stakeholder involvement. Features: Written by twenty-four teams of leading scientists and managers. Promotes transparent justification for fishing and hunting regulations. Provides examples for integrating decision making into management. Emphasizes creativity in management by integrating art and science. This book appeals to population biologists, evolutionary biologists and social scientists. It is a key resource for on-the-ground managers and research scientists developing harvesting applications. As the book’s contributors explain: “Making decisions that are robust to uncertainty...is a paradigm shift with a lot of potential to improve outcomes for fish and wildlife populations.” –Andrew Tyre and Brigitte Tenhumberg “Temporal shifts in system states...must somehow be anticipated and dealt with to derive harvest policies that remain optimal in the long term.” –Michael Conroy “Proactive, effective management of sportspersons...will be essential in the new paradigm of harvest management.” –Matthew Gruntorad and Christopher Chizinski