Simulated cavity tree dynamics under alternative timber harvest regimes

Fan, Zhaofei; Shifley, Stephen R.; Thompson, Frank R.; Larsen, David R.

doi:10.1016/j.foreco.2004.02.008

Cited by 31 publications

(24 citation statements)

References 20 publications

(27 reference statements)

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“…Sullivan (2001) previously linked patterns of weather variability with LANDIS output to simulate the temporal and spatial distribution of hard mast production -a characteristic important to wildlife species and to the process of oak regeneration. Similarly Fan et al (2003Fan et al ( , 2004 were able to link a model of cavity tree abundance to LANDIS output. The ability to map and view simulation results (including values derived via post-processing) provides a useful way to spatially evaluate and communicate management implications that often get lost in tabular summaries.…”

Section: Context Specific Data Analysis and Reanalysismentioning

confidence: 99%

“…The base data layers of forest vegetation by age class through time provide a mechanism for integrating other information and overlaying models and analyses for other resources. Examples include models for mast production (Sullivan, 2001), cavity trees (Fan et al, 2003(Fan et al, , 2004, and habitat suitability for a variety of wildlife species (Larson et al, 2003).…”

Section: Modeling Issuesmentioning

confidence: 99%

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Simulated effects of forest management alternatives on landscape structure and habitat suitability in the Midwestern United States

Shifley

Thompson

Dijak

et al. 2006

Forest Ecology and Management

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Understanding the cumulative effects and resource trade-offs associated with forest management requires the ability to predict, analyze, and communicate information about how forest landscapes (1000s to >100,000 ha in extent) respond to silviculture and other disturbances. We applied a spatially explicit landscape simulation model, LANDIS, and compared the outcomes of seven forest management alternatives including intensive and extensive even-aged and uneven-aged management, singly and in combination, as well as no harvest. We also simulated concomitant effects of wildfire and windthrow. We compared outcomes in terms of spatial patterns of forest vegetation by age/size class, edge density, core area, volume of coarse wood debris, timber harvest, standing crop, and tree species composition over a 200-year simulation horizon. We also used habitat suitability models to assess habitat quality for four species with diverse habitat requirements: ovenbird (Seiurus aurocapilla), prairie warbler (Dendroica discolor), hooded warbler (Wilsonia citrina), and gray squirrel (Sciurus carolinensis). Management alternatives with similar levels of disturbance had similar landscape composition but different landscape patterns. The no-harvest scenario resulted in a tree size class distribution that was similar to scenarios that harvested 5% of the landscape per decade; this suggests that gap phase replacement of senescent trees in combination with wind and fire disturbance may produce a disturbance regime similar to that associated with a 200-year timber rotation. Greater harvest levels (10% per decade) resulted in more uniform structure of small or large patches, for uneven-or even-aged management, respectively, than lesser levels of harvest (5% or no harvest); apparently reducing the effects of natural disturbances. Consequently, the even-aged management at the 10% level had the greatest core area and least amount of edge. Habitat suitability was greater, on average, for species dependent on characteristics of mature forests (ovenbird, gray squirrel) than those dependent on disturbance (prairie warbler, hooded warbler) and habitat suitability for disturbance dependent species was more sensitive to the management alternatives. The approach was data-rich and provided opportunities to contrast the large-scale, long-term consequences for management practices from many different perspectives. Crown

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Section: Context Specific Data Analysis and Reanalysismentioning

confidence: 99%

Section: Modeling Issuesmentioning

confidence: 99%

Simulated effects of forest management alternatives on landscape structure and habitat suitability in the Midwestern United States

Shifley

Thompson

Dijak

et al. 2006

Forest Ecology and Management

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“…Only recent developments in landscape simulation modelling, permit simultaneous modeling of numerous ecosystems as well as a wide range of silvicultural treatments (Liu and Ashton, 1998;Gustafson et al, 2000Gustafson et al, , 2001Gustafson et al, , 2004Shifley et al, 2000;Gustafson and Rasmussen, 2002;He et al, 2002;Fall et al, 2004;Fan et al, 2004;Garman, 2004;Mehta et al, 2004;Seely et al, 2004;.…”

Section: Landscape Modeling Of Forest Management Scenariosmentioning

confidence: 99%

“…LANDIS incorporates natural processes (fire, windthrow, succession, and seed dispersal, He and Mladenoff, 1999a), and forest harvesting, allowing many different silvicultural treatments to be simulated (Gustafson et al, 2000). The model has been tested in northern hardwood (He and Mladenoff, 1999b), and central hardwood forests Fan et al, 2004), chaparral in California (Franklin et al, 2001), and boreal forests in Finland (Pennanen and Kuuluvainen, 2002) and Quebec (Pennanen et al, 2004). For a more detailed discussion of model design and implementation see Mladenoff and He (1999) and Mladenoff (2004).…”

Section: Landscape Simulation Model Usedmentioning

confidence: 99%

Modeling forest harvesting effects on landscape pattern in the Northwest Wisconsin Pine Barrens

Radeloff

Mladenoff

Gustafson³

et al. 2006

Forest Ecology and Management

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“…Increasingly, snags have been studied in managed forests to determine snag dynamics (Chambers, Mast 2005;Russel, Weiskittel 2012), snag abundance and snag recruitment (Bull et al 1990;Ganey 1999;Harris 1999;Stephens 2004;Moroni, Harris 2010), effects of orography (Gale 2000;Clark et al 2002) and eff ects of shelterwood cut (Kenefic, Nyland 2007). Snag and deadwood size and abundance are highly variable among regions and are dependent on forest type, successional stage, climate and forest management regimes (Fan et al 2003(Fan et al , 2004Böhl, Brändli 2007;Nagaike 2009). Diff erent management regimes aff ect snag richness (Pedlar et al 2002;Ganey, Vojta 2005;Stephens, Moghaddas 2005;Kenefic, Nyland 2007).…”

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confidence: 99%

Forest management and snag characteristics in Northern Iran lowland forests

Tavankar¹,

Picchio²,

Monaco³

et al. 2014

J. For. Sci.

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Some snag characteristics were studied in three different Hyrcanian lowland forests. The highest snag density (38.4 stem·ha -1 ) was found in fully protected forests, and it was significantly higher than in selectively logged (23.7 stem·ha -1 ) and open access forests (8.8 stem·ha -1 ). The snag volume, diameter and height were also significantly higher in the fully protected forests. The number of snag species was recorded in fully protected (9), selectively logged (5) and open access forests (4). The snags were more evenly distributed among diameter, height and decay classes in the fully protected forest. The larger diameter snags (> 90 cm) and snags higher than 15 m in height were not found in the open access forest. The snags of decay class 5 had a density of 6.8 stem·ha -1 in the fully protected forest, while they had a low density (1.5 stem·ha -1 ) in the selectively logged forest and they were not found in the open access forest. Target values of snags for managed lowland forests in Iran were defined in relation to management influences.

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Simulated cavity tree dynamics under alternative timber harvest regimes

Cited by 31 publications

References 20 publications

Simulated effects of forest management alternatives on landscape structure and habitat suitability in the Midwestern United States

Simulated effects of forest management alternatives on landscape structure and habitat suitability in the Midwestern United States

Modeling forest harvesting effects on landscape pattern in the Northwest Wisconsin Pine Barrens

Forest management and snag characteristics in Northern Iran lowland forests

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