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Fiedler, Carl E.; College of Forestry and Conservation, University of Montana; carl.fiedler@umontana.edu; Friederici, Peter; School of Communication, Northern Arizona University; peter.friederici@nau.edu; Petruncio, Mark; Forestry Program, Yakama Nation; petruncio@yakama.com; Denton, Charles; Ecological Restoration Institute; Charles.Denton@nau.edu; Hacker, W. David; Forestry Department, New Mexico Highlands University; david_hacker@nmhu.edu. |
There is no one-size-fits-all approach to managing frequent-fire, old-growth forests. However, there are general guidelines to follow: 1) set objectives for both structure (tree density, diameter distribution, tree species composition, spatial arrangement, amount of coarse woody debris) and function (nutrient cycling, desired tree species regeneration); 2) prioritize treatments according to ecological, economic, and social needs and risks; 3) identify the potential treatments (natural fire, prescribed fire, silvicultural cutting) that best meet the objectives and scale of the project; and 4) implement the treatment(s). We discuss each of these guidelines in this article. |
Tipo: Peer-Reviewed article |
Palavras-chave: Fire; Forest management; Function; Silvicultural treatments; Structure; Thinning. |
Ano: 2007 |
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Fiedler, Carl E.; College of Forestry and Conservation, University of Montana; carl.fiedler@umontana.edu; Friederici, Peter; School of Communication, Northern Arizona University; peter.friederici@nau.edu; Petruncio, Mark; Forestry Program, Yakama Nation; petruncio@yakama.com. |
In this article, we discuss how to monitor the structural and functional attributes of old growth, as well as its associated plant communities and wildlife, both to determine the possible need for treatment and to assess post-treatment progress toward desired conditions. Monitoring can be used to detect conditions (or agents) that threaten existing old growth and also to document indicators of healthy, functioning old-growth systems. |
Tipo: Peer-Reviewed article |
Palavras-chave: Disturbance agents; Monitoring; Physiological/functional indicators; Risk assessment; Structural indicators. |
Ano: 2007 |
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