2011
DOI: 10.1890/es10-00172.1
|View full text |Cite
|
Sign up to set email alerts
|

Mountain pine beetle dispersal: spatiotemporal patterns and role in the spread and expansion of the present outbreak

Abstract: Abstract. Dispersal has been least understood in mountain pine beetle ecology. We developed a novel regional dynamic conceptual model of mountain pine beetle infestation using the tree mortality estimated from the British Columbia annual aerial overview survey to quantitatively determine short-distance dispersal (SDD) and long-distance dispersal (LDD) at local (forest district) and regional (provincial) scales. The dispersal patterns were characterized based on distances between a sink patch to its nearest sou… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

2
31
0

Year Published

2013
2013
2021
2021

Publication Types

Select...
8

Relationship

0
8

Authors

Journals

citations
Cited by 30 publications
(33 citation statements)
references
References 22 publications
2
31
0
Order By: Relevance
“…In recent years, changes in forest demography and favorable weather conditions have opened the door to outbreak conditions, and the mountain pine beetle has become one of the most damaging of all forest–disturbance agents in the United States [28], [29]. Mountain pine beetles generally disperse over short distances (∼50 m) within the forest canopy [30] and the D. ponderosae model was based on Eq. 1 with a two–dimensional Gaussian dispersal kernel (Eq.…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…In recent years, changes in forest demography and favorable weather conditions have opened the door to outbreak conditions, and the mountain pine beetle has become one of the most damaging of all forest–disturbance agents in the United States [28], [29]. Mountain pine beetles generally disperse over short distances (∼50 m) within the forest canopy [30] and the D. ponderosae model was based on Eq. 1 with a two–dimensional Gaussian dispersal kernel (Eq.…”
Section: Methodsmentioning
confidence: 99%
“…This kernel has been used previously to simulate within-canopy dispersal of this and other species of bark beetle [29], [31]. The model was parameterized using empirically derived values from the literature for the density of beetles per host area, ρ  = 59.4 m −2 [29], and the dispersal kernel spread parameter, α  = 56 m, giving a mean dispersal distance of 50 m [30]. We considered a single generation of dispersal (a single redistribution event) where we summed the total number of beetles arriving at each host area from every other host area in the landscape; those redistributed to non-host areas were lost from the system.…”
Section: Methodsmentioning
confidence: 99%
“…Some modifications to the ecoregion boundaries were made so that their boundaries closely approximated the geographic extent of interbreeding populations of D. ponderosae. Relatively large ecoregions (e.g., Coast Range, Middle Rockies, North Rockies, and Southern Rockies) were subdivided into separate regions based upon the underlying pine forest distribution and topographic features (e.g., river canyons, deserts, and mountains) known to affect movement of D. ponderosae populations (Mock et al 2007;Chen and Walton 2011;Gayathri Samarasekera et al 2012). For example, we created five subregions from the Ecoregion Level III classification of ''Middle Rockies'' to correspond to geographically distinct, forested areas (i.e., Black Hills, Big Horn mountains, Central mountains, Yellowstone Ecosystem, and the western Montana mountains) (Fig.…”
Section: Estimation Of D Ponderosae Abundance and Study Areamentioning
confidence: 99%
“…Generally, invertebrates display a stratified dispersal based on the combination of long distance dispersal (LDD) and short distance dispersal (SDD) [5]. There are many examples of stratified dispersal including gypsy moth (L. dispar) [6], Argentine ant (Linepithema humile) [7], and mountain pine beetle (Dendroctonus ponderosae) [8].…”
Section: Introductionmentioning
confidence: 99%