Assessing Forest Fragmentation in Southern U.S. Industrial Forest Plans that Accommodate Different Clearcut Size Restrictions
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概要
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Clearcut size limitations established both for private land and public land may affect and compound the fragmentation of forested landscapes. To better understand how these restrictions influence forest fragmentation, we designed an experiment to test and assess the effects caused by different maximum clearcut size restrictions on landscapes with different spatial patterns of land ownership. First, we developed forest plans with wood-flow and clearcut size constraints, using datasets composed of different land sizes (small, medium, and large) and spatial patterns (clumped, dispersed, and random). Six reasonable maximum clearcut sizes were assumed for industrial landowners of the southern U.S. Landscape metrics were selected as indicators of forest fragmentation; these included number of patches, patch density, total edge, edge density, perimeter-area fractal dimension, mean proximity, contagion. Results show that regardless of forest size and spatial pattern of land ownership, as the maximum clearcut size increased the number of patches, patch density, total edge and edge density decreased, while mean proximity increased. Results also suggest that wood-flow constraints have an effect on measures of fragmentation, and by adding this type of constraint to a forest planning problem, the effects attributable to different clearcut size restrictions may be mitigated.
- 森林計画学会の論文
著者
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Bettinger Pete
Univ. Georgia Ga Usa
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Bettinger Pete
Warnell School Of Forest Resources University Of Georgia
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Li Rongxia
School of Forest Resources, University of Maine
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Li Rongxia
School Of Forest Resources University Of Maine
関連論文
- Spatial Scheduling of Forest Management Activities using a Dynamic Deterministic Harvest Block Aggregation Process
- Assessing Forest Fragmentation in Southern U.S. Industrial Forest Plans that Accommodate Different Clearcut Size Restrictions
- Measures of Change in Projected Landscape Conditions
- A Vegetation Similarity Index Driven by Distance-dependent Spatial Information