WOODSHED ANALYSIS Addison County Five Towns Analysis by Marc Lapin, Chris Rodgers, & David Brynn...
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Transcript of WOODSHED ANALYSIS Addison County Five Towns Analysis by Marc Lapin, Chris Rodgers, & David Brynn...
![Page 1: WOODSHED ANALYSIS Addison County Five Towns Analysis by Marc Lapin, Chris Rodgers, & David Brynn Winter/Spring 2009.](https://reader038.fdocuments.us/reader038/viewer/2022110320/56649cc05503460f94986b5e/html5/thumbnails/1.jpg)
WOODSHED ANALYSIS
Addison County Five Towns
Analysis by Marc Lapin, Chris Rodgers, & David
Brynn
Winter/Spring 2009
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Purpose
To model the forest landbase suitable for sustainable harvest of forest biomass, and to estimate low-quality wood production on that landbase
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General Methods
Determine forestland sustainability criterion that can be utilized for spatial modeling
Construct spatial model to evaluate the landscape
Calculate the low-quality wood growth on the suitable forest landbase by applying several forest growth estimates to the suitable acreage
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Sustainability CriteriaApplicable to Spatial Modeling
Ecological criteria for sustainability refer to forest health, productive capacity, soil and water, biodiversity, and carbon and nutrient budgets
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Soils Forestland Value Group
Exclude two least productive groups, representing limited & very limited forestry potential (available from NRCS soils surveys)
SlopeExclude slopes >60%
Separate slopes 30-60%, which may present sustainability/operability constraints
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Water Quality and Wetlands Exclude water bodies and wetlands Exclude 75’ buffered area surrounding all water
and wetlands Fragile and ‘Significant’ Natural Communities
Exclude all lands above 2,500’ elevation No reliable spatial data for significant natural
communities, therefore exclude 10% of landbase to account for such features as well as for the forest access road network
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Conserved Lands Exclude all lands where timber extraction is legally
prohibited Separate publically owned lands from privately
owned lands for information purposes Conserved lands GIS layer, GAP Protection Level
data utilized
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Suitable Forestlands Results
60% forested 52% of forestlands suitable = 42,100 acres 84% of suitable landbase privately owned 9% forested landbase legally protected from
extraction
10% subtraction leaves 37,900 acres available
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Excluded Lands by Criterion
Percentages include ‘overlap’ among criteria
Water, wetlands & their buffers – 8.5% Forestland value group – 36.6% Elevation – 5.4% Slopes >60% – 0.9% Potentially unsuitable slopes – 9%
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BRISTOL Small amount of
suitable forest May be more
than shown on less sloping parts of Hogback
Most public land in wilderness protection
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LINCOLN Large acreage of
suitable private forest landbase
Large amount suitable public lands
Few areas with 30-60% slopes
Very small percentage with conservation easements
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MONKTON Some moderate-
sized patches of suitable forest
Perhaps more than shown on less sloping areas of Hogback
Very small percentage with conservation easements
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NEW HAVEN
Mostly farmland with some large wetlands
Very little suitable forest
Small percentage with conservation easements
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STARKSBORO Large acreage of
suitable forest Substantial
amount of 30-60% slopes
Small percentage with conservation easements
Large amount of suitable public lands
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Tree Growth Per Year Leak et al. (1987) – Northern Hardwoods modeling
Intensively managed – 1.7 green tons per acre Unmanaged – 1.2 green tons per acre
Sherman (2007) – based on FIA plot data Addison County – 2.6 green tons per acre
Frieswyk and Widman (2000) – based FIA plot data 1.25 green tons per acre
Frank and Bjorkbom (1973) – Spruce-Fir modeling Best case scenario – 1.25 green tons per acre
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Estimated Low-Quality Wood Amounts in green tons/year
Most conservative estimate = ~22,000 Lowest growth rate, low amount low-quality Very believable
Mid-range estimate = ~31,000 Middle growth rate, low amount low quality Perhaps, with more intensive management
High estimate = ~57,000 Highest growth rate, high amount low quality Not supported by recent data
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Unanswered Questions How much of the available and future wood in
the woodshed is/will be low-quality wood whose ‘best’ use after harvest would be for burning?
What is the actual growth per year? The models show substantial variation Without intensive field data collection in a specific
woodshed, we don’t know how reliable the estimates are for any actual landscape
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Where to Place Confidence?
Leak et al. model for unmanaged forests and recent FIA-based estimates coincide rather closely
Sherman growth estimates appear too high A whole lot depends on management intensity,
which depends on balancing numerous values, not merely maximizing biomass for burning
Landowner choices are, perhaps, the greatest unknown
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What to Continue Questioning Can our forests provide us with large amounts of
biomass for energy while continuing to provide the other ecosystem functions and services we expect and hope for?
Will landowners opt for more intensive management to strive for greater forest biomass?
As management proceeds over many decades, centuries, how much will the proportion of the low-quality wood supply diminish?
A role for coppice management?
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Thank you!&
Time for Questions