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Effect of gap harvesting on epiphytes and bark-dwelling arthropods in the Acadian forest of central Maine

Problem Addressed: Epiphyte and Arthropod Communities

Goal(s)/Objective(s): To determine effects on epiphyte and anthropod communities from red maple trees

Key Findings: Arthropod and epiphyte assemblages dwelling on the bark of red maple trees located in undisturbed forest and harvest gaps varied with height.Canonical correlation analysis revealed a positive association between bryophytes, Collembola, and Araneae. A strong correlation between Collembola and Araneae suggested a possible trophic interaction that may be affected by gap harvesting through a reduction in bryophyte abundance.

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Maine Forest and Forest Products Survey – Preliminary Findings

Problem Addressed: How do Maine residents view forests, forestry, and the emerging bioproducts industry.

Goal(s)/Objective(s): Explore Maine resident views toward forest conditions, practices, and new forest uses for bioenergy and other products.

Key Findings: Forest sustainability is a key concern both state-wide and in mill towns.

Recommendation: Maine residents express strong support for forestry and forest products. Sustainable harvesting is a precondition, as is stakeholder engagement in the development of new forest-based processing technologies.

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Practical economics of forest ecosystem management: case of Ukrainian Carpathians

Problem Addressed: Longterm planning issues in forest management in Carpathians

Goal(s)/Objective(s): Enrich discussion of issues not addressed in recent formal planning

Key Findings: Planning systems need major improvements; financial soundness of "back to Nature" not certain

Recommendation: Assess practical economic issues more deeply; consider market context

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Influence of partial harvesting and site factors on the abundance and composition of natural regeneration in the Acadian Forest of Maine, USA

Problem Addressed: Understanding the factors regulating the composition and abundance of natural regeneration in Acadian forest ecosystems.

Goal(s)/Objective(s): Importance of silvicultural treatment and site factors in structuring the species composition and abundance of natural regeneration.

Key Findings: Overstory and understory vegetation exhibit greater control over regeneration patterns than substrate and soil attributes, or silvicultural treatment, in partially harvested mixedwood stands.

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Long-term compositional dynamics of Acadian mixedwood stands under different silvicultural regimes

Problem Addressed: Forest response to natural disturbances and silvicultural treatments over time

Goal(s)/Objective(s): Tree species composition versus initial composition and harvest disturbance history after 5 decades of silvicultural treatments

Key Findings: Higher harvest intensity increases dominance by early successional species; lighter harvests maintain dominance by late successional species

Recommendation: Sustaining cedar recruitment may require additional silvicultural treatments

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Factors affecting species richness of tree regeneration in mixed-wood stands of central Maine

Problem Addressed: Within-stand spatial variability and tree regeneration

Goal(s)/Objective(s): Species richness of tree regeneration in response to smallscale ecological gradients, and effect of Abies balsamea abundance on species richness of other tree regeneration

Key Findings: Negative associations with A. balsamea regeneration density; large regeneration and overstorey basal area. Positive associations overstorey basal area; small and large regeneration and canopy transmittance.

Recommendation: Tree species diversity in Acadian mixed-wood stands may not be achievable through the use of gap-harvesting alone if the density of understorey Abies balsamea is not reduced

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Developing optimal commercial thinning prescriptions: A new graphical approach

Problem Addressed: Thinning prescriptions for intensive management of stand density

Goal(s)/Objective(s): Develop an analytical framework to facilitate the application of existing stocking diagrams and stand-growth simulators in formulating density-management regimes

Key Findings: Graphical techniques such as ThinME allow forest managers to effectively explore a variety of commercial thinning prescriptions.

Downloads: 6

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Forty years of spruce–fir stand development following herbicide application and precommercial thinning in central Maine, USA

Problem Addressed: Long-term stand dynamics for northern forests

Goal(s)/Objective(s): Evaluate the long-term effects of herbicide release and PCT on stand composition and structure; test assumptions about the effects on mixedwood stands

Key Findings: Early herbicide application created softwood-dominated mixedwood stands over the long term; PCT more than doubled merchantable softwood volume

Recommendation: Early PCT dramatically influences the development of spruce-fir stands

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Long-term response of spruce–fir stands to herbicide and precommercial thinning: observed and projected growth, yield, and financial returns in central Maine, USA

Problem Addressed: Long-term growth and yield responses from controlled experiments that include both herbicide application and precommercial thinning.

Goal(s)/Objective(s): Use 40-year growth and yield responses of spruce–fir stands to combinations of early herbicide and PCT to calibrate the Forest Vegetation Simulator (Northeast Variant).

Key Findings: Highest stumpage values resulted from combined herbicide and PCT treatments, followed by PCT-only and then herbicide-only.

Recommendation: Good financial returns are possible over the long-term from early investments in herbicide and PCT treatments in Maine spruce–fir stands.

Downloads: 6

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Assessing the Feasibility of Low-Density LiDAR for Stand Inventory Attribute Predictions in Complex and Managed Forests of Northern Maine, USA

Problem Addressed: Applicability of using a low-density discrete-return LiDAR for forest management.

Goal(s)/Objective(s): Evaluate LiDAR for predicting maximum tree height, stem density, basal area, quadratic mean diameter, and total volume.

Key Findings: Low density LiDAR was able to capture variability but tended to underestimate maximum tree height and volume; accuracy of volume prediction was sensitive to the plot type.

Recommendation: Use of LiDAR-based inventory attribute predictions is a valuable option for achieving efficient and effective forest assessment.

Downloads: 3

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