State-Space Modeling Indicates Rapid Invasion of an Alien Shrub in Coastal Dunes

被引:9
作者
Damgaard, Christian [1 ]
Nygaard, Bettina [2 ]
Ejrnaes, Rasmus [2 ]
Kollmann, Johannes [3 ]
机构
[1] Univ Aarhus, NERI DMU, Dept Terr Ecol, DK-8600 Silkeborg, Denmark
[2] Univ Aarhus, NERI DMU, Dept Wildlife Ecol & Biodivers, DK-8410 Ronde, Denmark
[3] Univ Copenhagen, Dept Agr & Ecol, DK-1958 Frederiksberg C, Denmark
关键词
Denmark; invasive alien plant; monitoring; permanent plots; Rosa rugosa; time-series analysis; ROSA-RUGOSA THUNB; NITROGEN DEPOSITION; PLANT INVASIONS; SAND DUNES; BALTIC SEA; VEGETATION; COMMUNITIES; HISTORY; EUROPE; SOIL;
D O I
10.2112/JCOASTRES-D-09-00132.1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
DAMGAARD, C.; NYGAARD, B.; EJRNAES, R., and KOLLMANN, J., 2011. State-space modeling indicates rapid invasion of an alien shrub in coastal dunes. Journal of Coastal Research, 27(3), 595-599. West Palm Beach (Florida), ISSN 0749-0208. Invasion by alien plants has negative effects on coastal dunes. Monitoring local spread of invasive species depends on long-term data with sufficient spatial resolution. Bayesian state-space models are a new method for monitoring invasive plants based on unbalanced permanent-plot data. The method allows separation of process and sampling variance, thus enabling ecological predictions with a known degree of uncertainty. The method is applied for the invasive shrub Rosa rugosa (Japanese rose) in Danish fixed dunes. The probability of observing R. rugosa increased significantly from 0.18 to 0.28 during the period 2004-2007. The species was found in all Danish coastal regions, albeit slightly less common in northern Denmark. We discuss the advantages and limitations of using Bayesian state-space models for monitoring and predicting plant invasions using presence absence data.
引用
收藏
页码:595 / 599
页数:5
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