Pattern Formation in a Model for Mountain Pine Beetle Dispersal: Linking Model Predictions to Data

被引:69
作者
Strohm, S. [1 ]
Tyson, R. C. [1 ]
Powell, J. A. [2 ]
机构
[1] Univ British Columbia, Kelowna, BC, Canada
[2] Utah State Univ, Logan, UT 84322 USA
基金
美国国家科学基金会; 加拿大自然科学与工程研究理事会;
关键词
Mountain Pine Beetle; Dendroctonus ponderosae; Pattern formation; Aerial detection survey; Management; OUTBREAK POPULATIONS; SPATIAL-PATTERNS; DYNAMICS; AGGREGATION; DIFFUSION;
D O I
10.1007/s11538-013-9868-8
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Pattern formation occurs in a wide range of biological systems. This pattern formation can occur in mathematical models because of diffusion-driven instability or due to the interaction between reaction, diffusion, and chemotaxis. In this paper, we investigate the spatial pattern formation of attack clusters in a system for Mountain Pine Beetle. The pattern formation (aggregation) of the Mountain Pine Beetle in order to attack susceptible trees is crucial for their survival and reproduction. We use a reaction-diffusion equation with chemotaxis to model the interaction between Mountain Pine Beetle, Mountain Pine Beetle pheromones, and susceptible trees. Mathematical analysis is utilized to discover the spacing in-between beetle attacks on the susceptible landscape. The model predictions are verified by analysing aerial detection survey data of Mountain Pine Beetle Attack from the Sawtooth National Recreation Area. We find that the distance between Mountain Pine Beetle attack clusters predicted by our model closely corresponds to the observed attack data in the Sawtooth National Recreation Area. These results clarify the spatial mechanisms controlling the transition from incipient to epidemic populations and may lead to control measures which protect forests from Mountain Pine Beetle outbreak.
引用
收藏
页码:1778 / 1797
页数:20
相关论文
共 41 条
[1]  
[Anonymous], ISSUES ECOLOGY
[2]   Movement of outbreak populations of mountain pine beetle: influences of spatiotemporal patterns and climate [J].
Aukema, Brian H. ;
Carroll, Allan L. ;
Zheng, Yanbing ;
Zhu, Jun ;
Raffa, Kenneth F. ;
Moore, R. Dan ;
Stahl, Kerstin ;
Taylor, Stephen W. .
ECOGRAPHY, 2008, 31 (03) :348-358
[3]  
Bentz B. J., 1996, 494 INT
[4]   Direct and indirect parametrization of a localized model for the mountain pine beetle - lodgepole pine system [J].
Biesinger, Z ;
Powell, J ;
Bentz, B ;
Logan, J .
ECOLOGICAL MODELLING, 2000, 129 (2-3) :273-296
[5]  
Brooks J., 2003, MOUNT PIN BEETL S CH
[6]   DYNAMICS OF FORMATION OF SYMMETRICAL PATTERNS BY CHEMOTACTIC BACTERIA [J].
BUDRENE, EO ;
BERG, HC .
NATURE, 1995, 376 (6535) :49-53
[7]   COMPLEX PATTERNS FORMED BY MOTILE CELLS OF ESCHERICHIA-COLI [J].
BUDRENE, EO ;
BERG, HC .
NATURE, 1991, 349 (6310) :630-633
[8]   DISPERSAL-AGGREGATION MODEL FOR MOUNTAIN PINE BEETLE IN LODGEPOLE PINE STANDS [J].
BURNELL, DG .
RESEARCHES ON POPULATION ECOLOGY, 1977, 19 (01) :99-106
[9]   Unveiling human-assisted dispersal mechanisms in invasive alien insects: Integration of spatial stochastic simulation and phenology models [J].
Carrasco, L. R. ;
Mumford, J. D. ;
MacLeod, A. ;
Harwood, T. ;
Grabenweger, G. ;
Leach, A. W. ;
Knight, J. D. ;
Baker, R. H. A. .
ECOLOGICAL MODELLING, 2010, 221 (17) :2068-2075
[10]  
Crabb B. A., 2012, DEV ASSESSMENT 30 M