Decision Support Tools to Inform the Rehabilitation and Management of High Graded Forests
نویسندگان
چکیده
Abstract Numerous forests in the eastern United States have been degraded due to past exploitative timber harvesting known as high grading. High graded forest stands may not improve without active rehabilitation and require targeted silvicultural treatments. This study focuses on mixed-oak (mixed-Quercus spp.) aims develop a model that can identify grading determine modifications management recommendations provided by prominent decision support tool, SILVAH. We present uses standard inventory measurements does knowledge of preharvest stand conditions predict with moderate accuracy whether was graded, which could be particularly useful for nonindustrial private forests. Results indicate SILVAH necessary its utility prescribing treatments stands.
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ژورنال
عنوان ژورنال: Journal of Forestry
سال: 2022
ISSN: ['0022-1201', '1938-3746']
DOI: https://doi.org/10.1093/jofore/fvab077