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Predictions of invasiveness and distributions by herbarium records and GIS to approach invasions of four naturalized Crotalaria species (Leguminosae) in Taiwan

 

Shan-Huah Wu1,2, Pei-Fen Lee1, and Marcel Rejmánek2

1Institute of ecology and evolutionary biology, National Taiwan University, Taipei 106, Taiwan

2Section of Evolution and ecology, University of California at Davis, CA 95616

 

 

 

Abstract

To approach plant invasions in the fields in a region where relevant preliminary information is not available, we employed herbarium records to develop an indicator of invasiveness. Field investigations, furthermore, were conducted to testify the index and GIS analysis was performed to evaluate environmental factors for prediction. Herbarium records have been widely used in ecological studies on plant invasions for decades without rigorous evaluations. To test the adequacy of using herbarium records, we used residuals, calculated from the regression of the number of herbarium records on minimum residence time of Crotalaria species naturalized in Taiwan, as a predictor of species actual frequency and invasiveness. Naturalized Crotalaria species exhibited different rates of spread within similar time frames, and such differences were quantified as residuals. Number of field localities, net infested area, maximum cover, as well as reproductive traits, were investigated for five exotic Crotalaria species with a similar minimum residence time. The tight correlation between residuals and the number of field localities, as well as with maximum cover, confirms that herbarium records accurately reflect some aspects of the invasion success of the studied species. However, residuals were not a significant predictor of net infested area. Strong correlations between residuals and reproductive traits contributing to species fitness, including log(seeds/plant), flowers/inflorescence, inflorescences/plant, and flowers/plant supported the use of residuals as indicators of field distributions and invasiveness. Distributions and frequencies of four naturalized Crotalaria species, were analyzed to test our hypothesis that environmental factors would contribute to the intensity of invasions in the field. Approximately three dozens of environmental factors, such as precipitations, temperature, urbanization, human populations, etc., were incorporated into the data mining analyses to sort out critical limitation factors of these species. Our results show that these naturalized Crotalaria species have different distribution patterns: Island-wide distributed species C. zanzibarica possessed most field localities in the north, while C. pallida tended to naturalize and expand in the south. Locally naturalized species, such as C. micans and C. incana ,were distributed only in certain areas in the middle and the very south end of Taiwan. The data mining analyses showed that environmental factors, such as precipitations, standard deviations of precipitations, precipitation deficiency, temperature, standard deviations of temperature, urbanization degree, human population size, and elevation, were positively correlated to the distributions of the these naturalized species. This also supports our hypothesis that environmental factors may contribute to the field invasions. Furthermore, the high accuracy of distribution predictions confirmed that geographical information system (GIS) may be used to predict the invasions of potential invaders.


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