Conserving Data In The Conservation Reserve

Enrolling over 30 million acres, the U.S. Conservation Reserve Program (CRP) is the largest conservation program in the United States. Under the guidelines of the CRP, the federal government pays farmers to stop farming their land in the hopes of achieving a variety of conservation goals, including the reduction of soil erosion, improvement of water quality, and creation of wildlife habitat. In Conserving Data, James T. Hamilton explores the role of information in the policy cycle as it relates to the CRP. The author asks how the creation and distribution of information about what is going on across these millions of enrolled acres has influenced the development of the program itself. Of the many CRP stakeholders, each accesses a different set of information about the CRP‘s operations. Regulators have developed the Environmental Benefits Index as a rough indicator of a fields conservation benefits and adopted that measure as a way to determine which lands should be granted conservation contracts. NGOs have used publicly available data from these contracts to show how CRP monies are allocated. Members of Congress have used oversight hearings and GAO reports to monitor the Farm Service Agency‘s conservation policy decisions. Reporters have localized the impact of the CRP by writing stories about increases in wildlife and hunting on CRP fields in their areas. Conserving Data brings together and analyzes these various streams of information, drawing upon original interviews with regulators, new data from Freedom of Information Act requests, and regulatory filings. Using the CRP as a launch point, Hamilton explores the role of information, including 'hidden information,' in the design and implementation of regulatory policy.

Enrolling over 30 million acres, the U.S. Conservation Reserve Program (CRP) is the largest conservation program in the United States. Under the guidelines of the CRP, the federal government pays farmers to stop farming their land in the hopes of achieving a variety of conservation goals, including the reduction of soil erosion, improvement of water quality, and creation of wildlife habitat. In Conserving Data, James T. Hamilton explores the role of information in the policy cycle as it relates to the CRP. The author asks how the creation and distribution of information about what is going on across these millions of enrolled acres has influenced the development of the program itself. Of the many CRP stakeholders, each accesses a different set of information about the CRP‘s operations. Regulators have developed the Environmental Benefits Index as a rough indicator of a fields conservation benefits and adopted that measure as a way to determine which lands should be granted conservation contracts. NGOs have used publicly available data from these contracts to show how CRP monies are allocated. Members of Congress have used oversight hearings and GAO reports to monitor the Farm Service Agency‘s conservation policy decisions. Reporters have localized the impact of the CRP by writing stories about increases in wildlife and hunting on CRP fields in their areas. Conserving Data brings together and analyzes these various streams of information, drawing upon original interviews with regulators, new data from Freedom of Information Act requests, and regulatory filings. Using the CRP as a launch point, Hamilton explores the role of information, including 'hidden information,' in the design and implementation of regulatory policy.

Synonymized Checklist of the Vascular Flora of the United States, Canada, and Greenland

In a coherent and comprehensive set of chapters, a team of leading scientists describe the present state-of-the-art in spatial conservation planning methodology with a focus on operational definitions and methods, supported by the latest technological details and applications of publicly available software.

Systematic Conservation Planning provides a clear, comprehensive guide to the process of deriving a conservation area network for regions, which will best represent the biodiversity of regions in the most cost-effective way. The measurement of biodiversity, design of field sampling strategies, alongside different data treatment methods are detailed helping to provide a conceptual framework for identifying conservation area networks, underpinned by the concept of complementarity. Setting conservation targets and then multi-criteria analyses, using complementarity but bringing in other criteria reflecting competing uses of land or water, to show how conservation area networks can achieve conservation targets in ways that also allow for the production of food, fiber and shelter are also discussed. Providing a clear procedure for identifying conservation priority areas underpinned by cutting edge science, this book will be of interest to graduate students, academics, planners and decision makers dealing with natural resource use and exploitation, alongside conservation NGOs.