Stand Conditions Associated with Roundheaded Pine Beetle (Coleoptera: Scolytidae) Infestations in Arizona and Utah

Negrón, José F.; Wilson, Jill L.; Anhold, John A.

doi:10.1603/0046-225x-29.1.20

Cited by 28 publications

(20 citation statements)

References 14 publications

(12 reference statements)

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“…A second classification model found a 72% probability of infestation when ponderosa pine basal area was >24.1 m 2 /ha. In the Pine Valley Mountains of Utah, stand density index was significantly greater in infested plots than in uninfested plots (Negrón et al, 2000). Classification models indicated a probability of infestation of 93% with a growth rate 0.66 cm and 23% with >0.66 cm.…”

Section: Risk and Hazard Rating Modelsmentioning

confidence: 90%

“…In the Pinaleño Mountains of Arizona, plots infested with roundheaded pine beetle had significantly higher stand densities compared to uninfested plots (Negrón et al, 2000). A classification model indicated a 60% probability of infestation when periodic growth ratio (ratio of most recent 5-year growth to that of the previous 5 years) was 1.14.…”

Section: Risk and Hazard Rating Modelsmentioning

confidence: 95%

“…The results suggest a higher probability of mountain pine beetle-caused tree mortality in dense ponderosa pine forests. Stand density has also been positively correlated with roundheaded pine beetle, D. adjunctus Blandford, infestation levels in the southwestern USA (Negrón, 1997;Negrón et al, 2000). Similarly, Olsen et al (1996) examined spatial variation in ponderosa pine stands and concluded that stocking was higher in areas prone to mountain pine beetle infestation.…”

Section: Tree and Stand Factors Associated With Bark Beetle Infestationsmentioning

confidence: 98%

“…For both locations, tree mortality models were developed using ponderosa pine basal area and growth rate 5 years prior to insect outbreak. One example is a regression tree for the Pinaleño Mountains that indicated an expected mortality of 16.3 m 2 /ha when ponderosa pine basal area was 35.6 m 2 /ha, an expected mortality of 32.3 m 2 /ha when ponderosa pine basal area was >35.6 m 2 /ha but 73.5 m 2 /ha, and an expected mortality of 75.8 m 2 /ha when ponderosa pine basal area was >73.5 m 2 /ha (Negrón et al, 2000).…”

Section: Risk and Hazard Rating Modelsmentioning

confidence: 99%

See 3 more Smart Citations

The effectiveness of vegetation management practices for prevention and control of bark beetle infestations in coniferous forests of the western and southern United States

Fettig

Klepzig

Billings

et al. 2007

Forest Ecology and Management

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Section: Risk and Hazard Rating Modelsmentioning

confidence: 90%

Section: Risk and Hazard Rating Modelsmentioning

confidence: 95%

Section: Tree and Stand Factors Associated With Bark Beetle Infestationsmentioning

confidence: 98%

Section: Risk and Hazard Rating Modelsmentioning

confidence: 99%

See 2 more Smart Citations

The effectiveness of vegetation management practices for prevention and control of bark beetle infestations in coniferous forests of the western and southern United States

Fettig

Klepzig

Billings

et al. 2007

Forest Ecology and Management

467

419

View full text Add to dashboard Cite

“…Anthropogenic and natural changes to canopy structure, such as selective logging (Asner et al 2004), fire (Chambers et al 2005), regional climate change (Breshears et al 2005), or bark beetle infestations (Negrón et al 2000), strongly affect the microscale canopy structure by changing the stand density, leaf density distribution, and distribution of stem sizes. These disturbances create a structural pattern at the length scale of a single tree crown, but such small-scale changes to canopy structure can extend over very large spatial domains (e.g., Asner et al 2005).…”

Section: Level 3: Effects Of Tree-scale Heterogeneity On the Spatial mentioning

confidence: 99%

Exploring the Effects of Microscale Structural Heterogeneity of Forest Canopies Using Large-Eddy Simulations

Bohrer

Katul

Walko

et al. 2009

Boundary-Layer Meteorol

100

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The Regional Atmospheric Modeling System (RAMS)-based Forest Large-Eddy Simulation (RAFLES), developed and evaluated here, is used to explore the effects of three-dimensional canopy heterogeneity, at the individual tree scale, on the statistical properties of turbulence most pertinent to mass and momentum transfer. In RAFLES, the canopy interacts with air by exerting a drag force, by restricting the open volume and apertures available for flow (i.e. finite porosity), and by acting as a heterogeneous source of heat and moisture. The first and second statistical moments of the velocity and flux profiles computed by RAFLES are compared with turbulent velocity and scalar flux measurements collected during spring and winter days. The observations were made at a meteorological tower situated within a southern hardwood canopy at the Duke Forest site, near Durham, North Carolina, U.S.A. Each of the days analyzed is characterized by distinct regimes of atmospheric stability and canopy foliage distribution conditions. RAFLES results agreed with the 30-min averaged flow statistics profiles measured at this single tower. Following this intercomparison, two case studies are numerically considered representing end-members of foliage and midday atmospheric stability conditions: one representing the winter season with strong winds above a sparse canopy and a slightly unstable boundary layer; the other representing the spring season with a dense canopy, calm conditions, and a strongly convective boundary layer. In each case, results from the control canopy, simulating the observed heterogeneous canopy structure at the Duke Forest hardwood stand, are compared with a test case that also includes heterogeneity commensurate in scale to tree-fall gaps. The effects of such tree-scale canopy heterogeneity on the flow are explored at three levels pertinent to 123 352 G. Bohrer et al.biosphere-atmosphere exchange. The first level (zero-dimensional) considers the effects of such heterogeneity on the common representation of the canopy via length scales such as the zero-plane displacement, the aerodynamic roughness length, the surface-layer depth, and the eddy-penetration depth. The second level (one-dimensional) considers the normalized horizontally-averaged profiles of the first and second moments of the flow to assess how tree-scale heterogeneities disturb the entire planar-averaged profiles from their canonical (and well-studied planar-homogeneous) values inside the canopy and in the surface layer. The third level (three-dimensional) considers the effects of such tree-scale heterogeneities on the spatial variability of the ejection-sweep cycle and its propagation to momentum and mass fluxes. From these comparisons, it is shown that such microscale heterogeneity leads to increased spatial correlations between attributes of the ejection-sweep cycle and measures of canopy heterogeneity, resulting in correlated spatial heterogeneity in fluxes. This heterogeneity persisted up to four times the mean height of the canopy (h c ) for some variab...

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Post-storm surveys reveal large-scale spatial patterns and influences of site factors, forest structure and diversity in endemic bark-beetle populations

Gilbert

Nageleisen²,

Franklin

et al. 2005

Landscape Ecol

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Stand Conditions Associated with Roundheaded Pine Beetle (Coleoptera: Scolytidae) Infestations in Arizona and Utah

Cited by 28 publications

References 14 publications

The effectiveness of vegetation management practices for prevention and control of bark beetle infestations in coniferous forests of the western and southern United States

The effectiveness of vegetation management practices for prevention and control of bark beetle infestations in coniferous forests of the western and southern United States

Exploring the Effects of Microscale Structural Heterogeneity of Forest Canopies Using Large-Eddy Simulations

Post-storm surveys reveal large-scale spatial patterns and influences of site factors, forest structure and diversity in endemic bark-beetle populations

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