Integrating Silviculture & Landscape Ecology: Tools for Multi-scale Management
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1 Integrating Silviculture & Landscape Ecology: Tools for Multi-scale Management Reference Pre-treatment Treatment meters to nearest tree Adaptive Management Basal Area Space Figure from Travis Belote Derek Churchill University of Washington
2 Landscape Ecology & Silviculture Vegetation: Structure: size & density Composition: species & condition Live & Dead Tree & non-tree
3 Landscape Ecology & Silviculture Species 270 PP Clump 240DF Size Vegetation: Structure: size & density Composition: species & condition Pattern: patch size distribution & arrangement of patches Live & Dead Tree & non-tree
4 Landscape Ecology & Silviculture Vegetation: Structure: size & density Composition: species & condition Live & Dead Tree & non-tree Species 270 PP Clump 240DF Size Pattern: patch size distribution & arrangement of patches Pattern of Structure & Composition Heterogeneity Resilience Desired Functions & Ecosystem Services 0
5 Regions Pattern of Structure Composition Stands/Patches Pattern of Structure Composition Local Landscapes/ Watersheds Pattern of Structure Composition Tree Neighborhoods Unit 82
6 Landscape Level Tools Inventory & Quantify: Pattern of Structure Composition Evaluate Against: Desired Functions Reference Conditions: (HRV & FRV)
7 Inventory & Quantify: Pattern of Structure Composition Evaluate Against: Desired Functions Reference Conditions: (HRV & FRV) Landscape Rx Patch Types Patch Size & Pattern Practical Implementation Treatment Prioritize Landscape Prescription
8 Stand Level Tools Patch Type Variable Density Thinning Free thinning Andy Carey Connie Harrington Multi-age management ITS Group Selection No-entry skips Openings Heavy Thin General Thin Area Fine scale variability Individual trees Tree clumps
9 Stand Neighborhood How much variability? Skips, Openings Heavy Thin, Clumps Area (%), Size, & Spatial Arrangement Stand Neighborhood: acres, or larger. Add up patch types across stand neighborhood Goal pattern across Stand neighborhood Watershed Miles ±
10 How much variability? Landscape Rx Current Conditions Functional Objectives Rationale Stand Neighborhood General Implications for Stands Landscape Rx Shift structure stage from 6 towards 7 on drier PAGs. Larger patches of SS6 on RC-WH sites Biophysical Context: More intensive treatments on drier slopes. PAG's, topography, soils More skips in cooler, moister areas of stands Structure, Composition, & Shift species composition towards fire tolerants Forest Health Treat & expand some root rot pockets Remove patches of mature LP in some stands Bio-Hotspots Mesic sites, skips patches with complex structure Heavy thin around old PP-WL-DF. Openings around Aspen Habitat Needs Max area of thinning without skip (5-10 acres) Create openings & HT areas for forage species Rx Fire & Wildfire: Need to break up continuity of fuels Create a landscape of low-mod-high severity patches Let fire do some of the work. Access-operational Issues Large portion untreated due to habitat & riparian buffers & lack of road access Areas difficult to yard within stands can be skips
11 Stand Level Tools Fine Scale Variability with Stands Species preference & forest health Old Trees Variation in Basal Area or TPA targets Ghost species & dbh limits Multi-age management ICO approach (Individuals, clumps, & openings) Clump Size Individual Trees Small 2-4 trees Medium 5-9 trees Large trees Reference 22% 34% 20% 24% Target/ Acre Target Unit Basal Area/TPA target + medium & large clump targets
12 Reference Stands Species 270 PP Clump 240DF Size acre Stem maps Reconstructed to pre-settlement year (e.g. 1890)
13 Clump ID Algorithm 2m 1m distance 3m Plotkin et al., Cluster analysis of spatial patterns in Malaysian tree species. American Naturalist
14 Clump ID Algorithm Clump Table Percent of trees in clumps of different sizes Clump Size (# of trees) Distance (m) m: Max crown interlock distance 3m
15 Clumping Targets: Reference stands: Malheur NF: 15 plots Freemont-Winema NF: 12 plots Okanogan-Wenatchee NF: 7 plots Montana & Other Locations Proportion of trees in clumps Clump Size (# of trees) Clumping Level High Mod Low
16 Moist MC Clump Targets: Reference stands: Contemporary Stands Larch - DF Reconstruction Functions Professional Judgment Proportion of trees in clumps Clump Size (# of trees) Clumping Level High Mod Low Skips
17 Unit 82 Monitoring Tools for Stand Level Pattern QuickMap Sample 15-20% of unit GPS clump centers ArcPAD template ArcMAP toolbox 1:4,000 ±
18 Monitoring Tools for Stand Level Pattern Excel worksheet that compares clump size distribution of monitoring plot to reference plots using ArcTool output
19 Implementation Prescriptions Targets for Pattern: Patch Size Distributions Ecological basis: Directly linked to HRV, FRV, & functions Flexible: work with existing conditions, soils, topography Operationally practical to implement Can t re-engineer pattern: Nudge in the right direction
20 Implementation Remote sensing information: pre-identify skips, openings. (LiDAR, Bing/Google Imagery, Topo-Polygon Tool)
21 Implementation Topo-Polygon Tool Water Balance Deficit Legend 1: Ridge 2: Valley bottom 3: NE Slope 4: NE >30 5: SW slope 6: SW > Miles ± Legend Deficit High : 236 Low : Miles
22 Implementation Silviculture meets the Smart Phone Age: 1. Remote sensing information: 2. Tablets with GPS: ID potential skips during recon 3. Integrated GPS information Rx 4. Tablets use in Layout to locate & track skips 5. Information used during treatment, Rx fire, & monitoring
23 Key Points 1. Managing for pattern of structure & composition: Patch size distributions Local Landscapes Stands & within stands 2. Landscape Evaluation & Prioritization Departure against HRV-FRV & Functions Landscape Rx: patch types, size, & pattern to manage for 3. Stand Level Tools Targets for skips, openings, heavy thin, thin areas across stand neighborhoods Fine scale variability: ICO distributions Monitoring with QuickMap 4. Implementation Integrated GPS-GIS
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