作者: Larry A. Leefers , Eric J. Gustafson , Phillip Freeman
DOI: 10.1007/978-94-017-0307-9_18
关键词: Simulation modeling 、 Landscape ecology 、 Spatial contextual awareness 、 Geography 、 Logging 、 Spatial ecology 、 Environmental resource management 、 Time horizon 、 Resource management 、 Forest management
摘要: Increasingly, resource management agencies and researchers have turned their analysis modeling efforts towards spatial temporal information. This is driven by the need to address wildlife concerns, landscape issues, social/economic questions. Historically, USDA Forest Service has used optimization models (i.e., FORPLAN Spectrum) for timber harvest scheduling in national forest planning. Spatial details often were based on geographic strata, model constraints mapping. Recently, more analyses been plan revisions. But many are limited flexibility concerns about standards guidelines relationships non-agency lands. To these limitations, we linking two extant models, Spectrum HARVEST, revision Chequamegon-Nicolet National northern Wisconsin. provides an initial optimal solution given standard linear programming inputs. Resulting vegetative treatments filtered through interface that distributes selected HARVEST's raster-based areas over time. parameters adjust cut sizes, buffers adjacency considertions. HARVEST simulate implementation of schedules a context. outputs such as area closed patchiness calculated displayed planning horizon. Unsatisfactory patterns can be adjusted subsequent Spectrum/HARVEST rus. The Park Falls Ranger District (62,000 ha) nearby private lands this case study.