Establishment and clonal spread of the alien shrub Rosa rugosa in coastal dunes—A method for reconstructing and predicting invasion patterns
Little is known about the rates of establishment and clonal spread of invasive plants on a landscape scale. This knowledge is necessary for reconstructing and predicting invasions, for example of the alien shrub Rosa rugosa. A series of aerial photographs (1986, 1999, 2002, 2004, 2006) were used to...
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Veröffentlicht in: | Landscape and urban planning 2009-12, Vol.93 (3), p.194-200 |
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Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | Little is known about the rates of establishment and clonal spread of invasive plants on a landscape scale. This knowledge is necessary for reconstructing and predicting invasions, for example of the alien shrub
Rosa rugosa. A series of aerial photographs (1986, 1999, 2002, 2004, 2006) were used to map the species in coastal dunes of north-western Denmark (2354
ha), and all
R. rugosa patches (1321) were recorded with GPS in 2004 and 2007. The 2004 records were used to digitize 82–161 distinct patches on the photographs. The increase in patch sizes from the older to the younger photographs was used to calculate a lateral clonal spread rate (0.42
m
year
−1). Relative area increment by clonal spread was 16.4% per year, decreasing exponentially with patch size due to constant clonal lateral spread. Based on the lateral spread rate, recursive negative buffers were introduced to determine when each patch became established. Applying the clonal spread rate to current patches allowed to quantify future distribution patterns.
R. rugosa invaded the study area after 1949, and most patches established after 1989. For 1986–2004, the establishment rate was estimated as 0.02
patches
ha
−1
year
−1. In 2004, the species had invaded 0.33% of the study area. If only clonal spread of existing patches is considered and assuming current environmental conditions and no management, the species will cover 3.9% by 2034. When including establishment of new patches, cover will increase to 9.5% in 2034. The advantages and limitations of the suggested extrapolation model are discussed. |
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ISSN: | 0169-2046 1872-6062 |
DOI: | 10.1016/j.landurbplan.2009.07.006 |