Predicting the potential invasive distributions of four alien plant species in North America

被引:169
作者
Peterson, AT [1 ]
Papes, M
Kluza, DA
机构
[1] Univ Kansas, Nat Hist Museum, Lawrence, KS 66045 USA
[2] Univ Kansas, Biodivers Res Ctr, Lawrence, KS 66045 USA
关键词
invasive species; ecological niche modeling; Generic Algorithm for Rule-set Prediction; prediction;
D O I
10.1614/P2002-081
中图分类号
S3 [农学(农艺学)];
学科分类号
0901 ;
摘要
Ecological niche modeling, a new methodology for predicting the geographic course of species' invasions, was tested based on four invasive plant species (garlic mustard, sericea lespedeza, Russian olive, and hydrilla) in North America. Models of ecological niches and geographic distributions on native distributional areas (Europe and Asia) were highly statistically significant. Projections for each species to North America-effectively predictions of invasive potential-were highly coincident with areas of known invasions. Hence, in each case, the geographic invasive potential was well summarized in a predictive sense; this methodology holds promise for development of control and eradication strategies and for risk assessment for species' invasions.
引用
收藏
页码:863 / 868
页数:6
相关论文
共 39 条
[1]   Geographical distributions of spiny pocket mice in South America:: insights from predictive models [J].
Anderson, RP ;
Gómez-Laverde, M ;
Peterson, AT .
GLOBAL ECOLOGY AND BIOGEOGRAPHY, 2002, 11 (02) :131-141
[2]   Using niche-based GIS modeling to test geographic predictions of competitive exclusion and competitive release in South American pocket mice [J].
Anderson, RP ;
Peterson, AT ;
Gómez-Laverde, M .
OIKOS, 2002, 98 (01) :3-16
[3]   Evaluating predictive models of species' distributions: criteria for selecting optimal models [J].
Anderson, RP ;
Lew, D ;
Peterson, AT .
ECOLOGICAL MODELLING, 2003, 162 (03) :211-232
[4]  
[Anonymous], 2002, PLANTS DAT
[5]  
*CONABIO, 2002, RED MEX INF BIOD
[6]  
EGBERT SL, 2002, P IEEE 2002 INT GEOS, V4, P2337
[7]  
*ESRI, 2001, ARCV
[8]   Prediction of bird community composition based on point-occurrence data and inferential algorithms: a valuable tool in biodiversity assessments [J].
Feria, TP ;
Peterson, AT .
DIVERSITY AND DISTRIBUTIONS, 2002, 8 (02) :49-56
[9]   Preliminary distributional analysis of US endangered bird species [J].
Godown, ME ;
Peterson, AT .
BIODIVERSITY AND CONSERVATION, 2000, 9 (09) :1313-1322
[10]   Field tests of theories concerning distributional control [J].
Grinnell, J .
AMERICAN NATURALIST, 1917, 51 :115-128