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A team of fire scientists & resource managers convened to assess the effects of fire disturbance on ecosystems. Objectives of this workshop were to develop scientific recommendations for future fire research & management activities. These included a series of numerically ranked scientific & managerial questions & responses focusing on (1) links among fire effects, fuels, & climate; (2) fire as a large-scale disturbance; (3) fire-effects modeling structures; & (4) managerial concerns, applications, & decision support. The priority issues & approaches described here provide a template for fire science & fire management programs in the next decade & beyond.
Reliable predictions of how changing climate and disturbance regimes will affect forest ecosystems are crucial for effective forest management. Current fire and climate research in forest ecosystem and community ecology offers data and methods that can inform such predictions. However, research in these fields occurs at different scales, with disparate goals, methods, and context. Often results are not readily comparable among studies and defy integration. We discuss the strengths and weaknesses of three modeling paradigms: empirical gradient models, mechanistic ecosystem models, and stochastic landscape disturbance models. We then propose a synthetic approach to multi-scale analysis of the effects of climatic change and disturbance on forest ecosystems. Empirical gradient models provide an anchor and spatial template for stand-level forest ecosystem models by quantifying key parameters for individual species and accounting for broad-scale geographic variation among them. Gradient imputation transfers predictions of fine-scale forest composition and structure across geographic space. Mechanistic ecosystem dynamic models predict the responses of biological variables to specific environmental drivers and facilitate understanding of temporal dynamics and disequilibrium. Stochastic landscape dynamics models predict frequency, extent, and severity of broad-scale disturbance. A robust linkage of these three modeling paradigms will facilitate prediction of the effects of altered fire and other disturbance regimes on forest ecosystems at multiple scales and in the context of climatic variability and change.
This study represents an analysis of regeneration processes for eastern white pine (Pinus strohus L.). The objective is to develop an integrated approach to evaluate the influence of factors that, alone and in combination, determine regeneration outcomes. This study is composed of three sections. The first chapter is a literature review of white pine regeneration dynamics. The purpose is to present a process for understanding the regeneration process of a single species and present a conceptual approach to integrated evaluation of influential variables. Six interrelated ecological factors (seed tree density, competition, disturbance, seedbed conditions, soils, and damage agents) were identified and their impact on the regeneration process is evaluated. A conceptual model of the integration approach and two examples of how this approach can be utilized in assessing regeneration operations are presented.