The U.S. Department of Agriculture (USDA) Strategic Plan for fiscal year (FY) 2010–2015 targets the restoration of watershed and forest health as a core management objective of the national forests and grasslands. To achieve this goal, the Forest Service, an agency of USDA, is directed to restore degraded watersheds by strategically focusing investments in watershed improvement projects and conservation practices at landscape and watershed scales. The Forest Service formed the National Watershed Condition Team and tasked it with developing a nationally consistent, science-based approach to classify the condition of all National Forest System (NFS) watersheds and to develop outcome-based performance measures for watershed restoration. The team evaluated alternative approaches for classifying watersheds (USDA Forest Service 2007) and developed the watershed condition classification (WCC) system described in this technical guide. The team designed the WCC system to—Classify the condition of all NFS watersheds; Be quantitative to the extent feasible; Rely on Geographic Information System (GIS) technology; Be cost effective; Be implementable within existing budgets; Include resource areas and activities that have a significant influence on watershed condition. National forests are required to revise the classification on an annual basis. The WCC system is a national forest-based, reconnaissance level evaluation of watershed condition achievable within existing budgets and staffing levels that can be aggregated for a national assessment of watershed condition. The WCC system offers a systematic, flexible means of classifying watersheds based on a core set of national watershed condition indicators. The system relies on professional judgment exercised by forest interdisciplinary (ID) teams, GIS data, and national databases to the extent they are available, and on written rule sets and criteria for indicators that describe the three watershed condition classes (functioning properly, functioning at risk, and impaired function). The WCC system relies on Washington Office and regional office oversight for flexible and consistent application among national forests. The WCC system is a first approximation of watershed condition, and we will revise and refine it over time. The expectation is that we will improve and refine individual resource indicators and that we will develop databases and map products to assist with future classifications. The WCC information will be incorporated into the watershed condition framework, which will ultimately be employed to establish priorities, evaluate program performance, and communicate watershed restoration successes to interested stakeholders and Congress. The watershed condition goal of the Forest Service is “to protect National Forest System watersheds by implementing practices designed to maintain or improve watershed condition, which is the foundation for sustaining ecosystems and the production of renewable natural resources, values, and benefits” (FSM 2520). U.S. Secretary of Agriculture Tom Vilsack reemphasized this policy in his “Vision for the Forest Service” when he stated that achieving restoration of watershed and forest health would be the primary management objective of the Forest Service (USDA 2010). This Watershed Condition Classification Technical Guide helps to implement this policy objective by—1. Establishing a systematic process for determining watershed condition class that all national forests can apply consistently; 2. Improving Forest Service reporting and tracking of watershed condition; 3. Strengthening the effectiveness of the Forest Service to maintain and restore the productivity and resilience of watersheds and their associated aquatic systems on NFS lands.

Many terms often used to describe old-growth forests imply that these forests are less vigorous, less productive and less stable than younger forests. But research in the last two decades has yielded results that challenge the view of old-growth forests being in decline. Given the importance of forests in battling climate change and the fact that old-growth forests are shrinking at a rate of 0.5% per year, these new results have come not a moment too soon. This book is the first ever to focus on the ecosystem functioning of old-growth forests. It is an exhaustive compendium of information that contains original work conducted by the authors. In addition, it is truly global in scope as it studies boreal forests in Canada, temperate old-growth forests in Europe and the Americas, and global tropical forests. Written in part to affect future policy, this eminently readable book is as useful for the scientist and student as it is for the politician and politically-interested layman.

The private working land base of America's forests is being converted to developed uses, with implications for the condition and management of affected private forests and the watersheds in which they occur. The Forests on the Edge project seeks to improve understanding of the processes and thresholds associated with increases in housing density in private forests and likely effects on the contributions of those forests to timber, wildlife, and water resources. This report, the first in a series, displays and describes housing density projections on private forests, by watershed, across the conterminous United States. An interdisciplinary team used geographic information system (GIS) techniques to identify fourth-level watersheds containing private forests that are projected to experience increased housing density by 2030. Results indicate that some 44.2 million acres (over 11 percent) of private forests--particularly in the East, where most private forests occur--are likely to see dramatic increases in housing development in the next three decades, with consequent impacts on ecological, economic, and social services. Although conversion of forest land to other uses over time is inevitable, local jurisdictions and states can target efforts to prevent or reduce conversion of the most valuable forest lands to keep private working forests resilient and productive.