Modeling the invasive emerald ash borer risk of spread using a spatially explicit cellular model

被引:0
作者
Anantha M. Prasad
Louis R. Iverson
Matthew P. Peters
Jonathan M. Bossenbroek
Stephen N. Matthews
T. Davis Sydnor
Mark W. Schwartz
机构
[1] USDA Forest Service,Department of Environmental Sciences & Lake Erie Center
[2] Northern Research Station,School of Environment and Natural Resources
[3] University of Toledo,Department of Environmental Science and Policy
[4] Ohio State University,undefined
[5] University of California-Davis,undefined
来源
Landscape Ecology | 2010年 / 25卷
关键词
Emerald ash borer; EAB; Agrilus planipennis; Spread model; Stratified dispersal; Spatially explicit cellular model Ohio; Gravity model; Fraxinus; Ash; Roads networks; Invasive; Highway traffic; Insect flight model; Insect ride model;
D O I
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中图分类号
学科分类号
摘要
The emerald ash borer (EAB, Agrilus planipennis) is decimating native ashes (Fraxinus sp.) throughout midwestern North America, killing millions of trees over the years. With plenty of ash available throughout the continent, the spread of this destructive insect is likely to continue. We estimate that the insect has been moving along a “front” at about 20 km/year since about 1998, but more alarming is its long-range dispersal into new locations facilitated by human activities. We describe a spatially explicit cell-based model used to calculate risk of spread in Ohio, by combining the insect’s flight and short-range dispersal (“insect flight”) with human-facilitated, long-range dispersal (“insect ride”). This hybrid model requires estimates of EAB abundance, ash abundance, major roads and traffic density, campground size and usage, distance from the core infested zone, wood products industry size and type of wood usage, and human population density. With the “insect flight” model, probability of movement is dependent on EAB abundance in the source cells, the quantity of ash in the target cells, and the distances between them. With the “insect-ride” model, we modify the value related to ash abundance based on factors related to potential human-assisted movements of EAB-infested ash wood or just hitchhiking insects. We attempt to show the advantage of our model compared to statistical approaches and to justify its practical value to field managers working with imperfect knowledge. We stress the importance of the road network in distributing insects to new geographically dispersed sites in Ohio, where 84% were within 1 km of a major highway.
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页码:353 / 369
页数:16
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共 97 条
  • [11] Hannon B(2008)Nearest neighbor imputation of species-level, plot-scale forest structure attributes from LiDAR data Remote Sens Environ 112 2232-2245
  • [12] Bossenbroek JM(1999)Modeling potential future individual tree-species distributions in the Eastern United States under a climate change scenario: a case study with Pinus virginiana Ecol Modell 115 77-93
  • [13] Kraft CE(2004)How fast and far might tree species migrate under climate change in the eastern United States? Glob Ecol Biogeogr 13 209-219
  • [14] Nekola JC(2008)Estimating potential habitat for 134 eastern US tree species under six climate scenarios For Ecol Manage 254 390-406
  • [15] Clark JS(1996)Dispersal data and the spread of invading organisms Ecology 77 2027-2042
  • [16] Lewis M(2004)Stochasticity, invasions, and branching random walks Theor Popul Biol 66 175-184
  • [17] Horvath L(1966)The strategy of model building in population biology Am Sci 54 421-431
  • [18] Clark JS(2008)Population ecology of insect invasions and their management Annu Rev Entomol 53 387-408
  • [19] Lewis M(1999)Global patterns of plant invasions and the concept of invasibility Ecology 80 1522-1536
  • [20] Mclachlan JS(2004)A new kind of ecology? Bioscience 54 440-446