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Predicting Acacia invasive success in South Africa on the basis of functional traits, native climatic niche and human use

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Abstract

Australian Acacia species have been widely planted worldwide for different purposes. Some of them have spread and altered the native ecosystem functions to the extent of being considered economic and ecologic threats. Understanding factors that allow these species to become invasive is an important step for mitigating or preventing the damaging effects of invasive species. We aimed to test the importance of native niche climatic width and average, plant functional traits (plant height, leaf area, seed mass and length of flowering season) and anthropogenic factors (number of uses, time since introduction) for predicting invasive success, in terms of abundance and range, of 16 Australian Acacia species in South Africa. By using multiple regression analysis, we constructed one different model for each type of predicting factors. When more than two predicting variables were available in a category, they were reduced to a maximum of two predictors by means of principal component analysis. Acacia spp. abundance and range in South Africa were highly correlated. The anthropogenic model (using number of human uses as predictor) was the best to explain both abundance and range of acacias in South Africa. This may be attributed to the importance of humans as dispersal vectors and to the relatively recent introduction of these species (circa 150 years). The functional traits model was the next best model explaining Acacia range, but not abundance, acacias with higher height and leaf area being more widespread in South Africa. Taller plants may disperse their seeds more efficiently by attracting dispersal agents, such as birds. The climatic affinities model was the following in the ranking explaining both range and abundance, acacias coming from moister, cooler and less seasonal regions in Australia being more successful in South Africa. This pattern may be attributed to the fast growth genotype generally selected for under low climatic stress conditions. Acacias with wide climatic niche in the native region were also more widespread and abundant in South Africa, probably because the same traits that allow them to be widespread in Australia, also contribute to overcome the climatic filters to establish throughout South Africa. This study provides managers with tools to identify those exotic Acacia ssp. having more chances to become successful invaders in South Africa.

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Abbreviations

FL:

Length of flowering time

H:

Plant mean height

LA:

Leaf area

No.uses:

Number of uses

Pm.range:

Annual precipitation range

Pm:

Annual precipitation

Pseas.range:

Precipitation seasonality range

Pseas:

Precipitation seasonality

RT:

Mean residence time

SM:

Mean seed mass

Tm.range:

Annual temperature range

Tm:

Annual temperature

Tseas.range:

Temperature seasonality range

Tseas:

Temperature seasonality

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Acknowledgments

This study was supported by the grants CGL2007-61873/BOS, CGL2010-16388/BOS of the Spanish Ministry of Science and Innovation, POII10-0179-4700 of Junta de Comunidades de Castilla-La Mancha and the REMEDINAL network S2009/AMB-1783 (Comunidad de Madrid). T. Langendoen acknowledges the University of Wageningen for the Erasmus grant during his stay at Alcalá University. We are indebted to Fabio Suzart for his technical support to the GIS work.

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Authors and Affiliations

  1. Departamento de Ecología, Universidad de Alcalá, Campus Universitario, Ctra. Madrid-Barcelona Km. 33.6, 28871, Alcalá de Henares, Madrid, Spain

    P. Castro-Díez, T. Langendoen & A. Saldaña-López

  2. Forest Ecology and Management Group, Centre for Ecosystem Studies, Wageningen University and Research Centre, P.O. Box 47, 6700 AA, Wageningen, The Netherlands

    T. Langendoen & L. Poorter

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  1. P. Castro-Díez
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  2. T. Langendoen
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  3. L. Poorter
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  4. A. Saldaña-López
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Correspondence to P. Castro-Díez.

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Castro-Díez, P., Langendoen, T., Poorter, L. et al. Predicting Acacia invasive success in South Africa on the basis of functional traits, native climatic niche and human use. Biodivers Conserv 20, 2729–2743 (2011). https://doi.org/10.1007/s10531-011-0101-5

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