Timber harvest following wildfire leads to different outcomes depending on the biophysical setting of the forest, pattern of burn severity, operational aspects of tree removal, and other activities. Postfire logging adds to these effects by removing standing dead trees (snags) and disturbing the soil. The influence of postfire logging depends on the intensity of the fire, intensity of the logging operation, and mgmt. activities such as fuel treatments. Removal of snags reduces long-term fuel loads but generally results in increased amounts of fine fuels for the first few years after logging. Cavity-nesting birds, small mammals, and amphibians may be affected by harvest of standing dead and live trees, with negative effects on most species. Illustrations.

This synthesis provides an ecological foundation for management of the diverse ecosystems and fire regimes of North America, based on scientific principles of fire interactions with vegetation, fuels, and biophysical processes. Although a large amount of scientific data on fire exists, most of those data have been collected at small spatial and temporal scales. Thus, it is challenging to develop consistent science-based plans for large spatial and temporal scales where most fire management and planning occur. Understanding the regional geographic context of fire regimes is critical for developing appropriate and sustainable management strategies and policy. The degree to which human intervention has modified fire frequency, intensity, and severity varies greatly among different ecosystems, and must be considered when planning to alter fuel loads or implement restorative treatments. Detailed discussion of six ecosystems--ponderosa pine forest (western North America), chaparral (California), boreal forest (Alaska and Canada), Great Basin sagebrush (intermountain West), pine and pine-hardwood forests (Southern Appalachian Mountains), and longleaf pine (Southeastern United States)--illustrates the complexity of fire regimes and that fire management requires a clear regional focus that recognizes where conflicts might exist between fire hazard reduction and resource needs. In some systems, such as ponderosa pine, treatments are usually compatible with both fuel reduction and resource needs, whereas in others, such as chaparral, the potential exists for conflicts that need to be closely evaluated. Managing fire regimes in a changing climate and social environment requires a strong scientific basis for developing fire management and policy. --

Timber harvest following wildfire leads to different outcomes depending on the biophysical setting of the forest, pattern of burn severity, operational aspects of tree removal, and other management activities. Fire effects range from relatively minor, in which fire burns through the understory and may kill a few trees, to severe, in which fire kills most trees and removes much of the organic soil layer. Postfire logging adds to these effects by removing standing dead trees (snags) and disturbing the soil.

Professor Chadwick Dearing Oliver has made major intellectual contributions to forest science and natural resources management. Over the course of his career he has actively sought to bring research and practice together through synthesis, outreach, and capacity-building. A common thread throughout his career has been complexity and how we as a society understand and manage complex systems. His work on forest stand dynamics, landscape management, and sustainability have all focused on the emergent properties of complex ecological and/or social systems. This volume celebrates a remarkable career through a diverse group of former students and colleagues who work on a wide range of subject areas related to the management of complex natural resource systems. Over the past decade there has been considerable discussion about forests as complex adaptive systems. Advances in remote sensing, social methods, and data collection and processing have enabled more detailed characterisations of complex natural systems across spatial and temporal scales than ever before. Making sense of these data, however, requires conceptual frameworks that are robust to the complexity of the systems and their inherent dynamics, particularly in the context of global change. This volume presents a collection of cutting-edge research on natural ecosystems and their dynamics through the lens of complex adaptive systems. ​It includes contributions by a wide range of authors from academia, NGOs, forest industry, and governmental organisations with diverse perspectives on forests and natural resources management. Each chapter offers new insights into how these systems can be made more resilient to ensure that they provide a diversity of ecological and social values well into the future. Together they provide a robust way of thinking about the many challenges that natural ecosystems face and how we as society may best address them.

Classical silviculture has often emphasized timber models, fundamentally based in production agriculture. This books presents silvicultural methods based in natural forest models—models that emulate natural disturbances and development processes, sustain biological legacies, and allow time to take its course in shaping stands. These methods, dubbed “ecological forestry,” have been successfully implemented by foresters for decades managing a wide variety of forestlands. Ecological silvicultural strategies protect threatened and rare species, sustain biological diversity, and provide habitat for game and non-game species, all while providing timber in profitable ways.

Contents: Intro.; The Changing Mgmt. Context; Previous Studies on Effects of Disturbance on Wood Quality; After the Fire: Changes in Dead and Dying Conifers; Predicting Conifer Mortality Following Fires; Types of Changes in the Wood of Dead Conifers; Insect Damage to Conifers; Stain and Decay Fungi Damage to Conifers; Factors Influencing the Rate of Deterioration; Species-Specific Changes in Wood Quality of Dead and Dying Conifers; Douglas-Fir; Englemann Spruce and White Spruce; Grand Fir and White Fir; Lodgepole Pine; Ponderosa, Sugar, Western White, and Jeffrey Pine; Subalpine Fir; Western Hemlock; Western Larch; Wood Quality Changes and Econ. Values; Visual Classification Systems; Volume and Value Loss. Conclusions.