Modeling forest harvesting effects on landscape pattern in the Northwest Wisconsin Pine Barrens |
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| Institution: | 1. Department of Forest Ecology and Management, 1630 Linden Drive, University of Wisconsin-Madison, Madison, WI 53706, USA;2. USDA Forest Service, North Central Research Station, 5985 Highway K, Rhinelander, WI 54501, USA;3. The School of Natural Resources, University of Missouri-Columbia, Columbia, MO 65211, USA;4. Applied Biomathematics, 100 North Country Road, Setauket, NY 11733, USA;1. Chair of Site Classification and Vegetation Science, Institute of Forest Sciences, Faculty of Environment and Natural Resources, Albert-Ludwigs University, Freiburg, Germany;2. Island Conservation, Santiago, Chile;1. Department of Ecology, University of Debrecen, Debrecen, Egyetem square 1, H-4032 Hungary;2. Hungarian Department of Biology and Ecology, Babeş-Bolyai University, Str. Clinicilor nr. 5–7, 400006 Cluj-Napoca, Romania;3. MTA-DE Biodiversity and Ecosystem Services Research Group, Debrecen, Egyetem square 1, H-4032 Hungary;1. Forestry Tasmania, 79 Melville St, Hobart, TAS 7000, Australia;2. Department of Forest & Ecosystem Science, University of Melbourne, Creswick, VIC 3363, Australia;1. Université catholique de Louvain, Earth and Life Institute, Croix du Sud 2, L7.05.09, 1348 Louvain-la-Neuve, Belgium;2. LERFOB, AgroParisTech, 54280 Champenoux, France;3. EEF, INRA, Université de Lorraine, 54280 Champenoux, France;4. Forest & Nature Lab, Department Forest and Water Management, Ghent University, Geraardsbergse Steenweg 267, Gontrode BE-9090, Belgium;1. USDA Forest Service, Northern Research Station, Northern Forest Science and Applications, Durham, NH 03824, USA;2. USDA Forest Service, Northern Research Station, Forest Inventory and Analysis Program, Newtown Square, PA 19073, USA;3. University of Vermont, Rubenstein School of Environment and Natural Resources, Burlington, VT 05405, USA;4. USDA Forest Service, Northern Research Station, Forest Inventory and Analysis Program, St. Paul, MN 55108, USA |
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| Abstract: | Forest management shapes landscape patterns, and these patterns often differ significantly from those typical for natural disturbance regimes. This may affect wildlife habitat and other aspects of ecosystem function. Our objective was to examine the effects of different forest management decisions on landscape pattern in a fire adapted ecosystem. We used a factorial design experiment in LANDIS (a forest landscape simulation model) to test the effects of: (a) cut unit size, (b) minimum harvest age and (c) target species for management. Our study area was the Pine Barrens of northwest Wisconsin, an area where fire suppression has caused a lack of large open areas important for wildlife. Our results show that all three management choices under investigation (cut unit size, minimum harvest age and target species for management) have strong effects on forest composition and landscape patterns. Cut unit size is the most important factor influencing landscape pattern, followed by target species for management (either jack pine or red pine) and then minimum harvest age. Open areas are more abundant, and their average size is larger, when cut units are larger, target species is jack pine, and minimum harvest age is lower. Such information can assist forest managers to relate stand level management decision to landscape patterns. |
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