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Biology of Invasive Plants 1. Pyracantha angustifolia (Franch.) C.K. Schneid

Published online by Cambridge University Press:  16 November 2020

Lenin Dzibakwe Chari
Affiliation:
Postdoctoral Researcher, Centre for Biological Control, Department of Zoology and Entomology, Rhodes University, Makhanda, South Africa
Grant Douglas Martin*
Affiliation:
Deputy Director, Centre for Biological Control, Department of Zoology and Entomology, Rhodes University, Makhanda, South Africa
Sandy-Lynn Steenhuisen
Affiliation:
Senior Lecturer, Department of Plant Sciences, and Afromontane Research Unit, University of the Free State, Qwaqwa Campus, Phuthaditjhaba, South Africa
Lehlohonolo Donald Adams
Affiliation:
PhD Candidate, Department of Plant Sciences, and Afromontane Research Unit, University of the Free State, Qwaqwa Campus, Phuthaditjhaba, South Africa
Vincent Ralph Clark
Affiliation:
Director, Afromontane Research Unit, and Department of Geography, University of the Free State, Qwaqwa Campus, Phuthaditjhaba, South Africa
*
Author for correspondence: Grant Douglas Martin, Centre for Biological Control, Department of Zoology and Entomology, Rhodes University, P.O. Box 94, Makhanda, 6140 South Africa. (Email: g.d.martin84@gmail.com)
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Abstract

Information

Type
Biology of Invasive Plants
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of Weed Science Society of America
Figure 0

Figure 1. Vegetative and reproductive characteristics of Pyracantha angustifolia. (A) A branchlet with sharp, pointed, leaved thorns and flowers arranged in a compound corymb on terminal meristems, (B) fruits growing in clusters, (C) flower side view showing pedicel and calyx covered in woolly hairs, and (D) an oblong-shaped leaf blade with a notched tip. Illustrated by Wilma Roux and reproduced with permission.

Figure 1

Figure 2. Pyracantha angustifolia in Clarens, eastern Free State, South Africa. Orange-yellow or orange-red berries (5–8 mm across) are produced in large numbers from April to October (A–C), while white flowers (5-mm long) are produced in October to December (D) (Adams 2020).

Figure 2

Figure 3. Global distribution of Pyracantha angustifolia representing native (red) and invasive population (blue) data sourced from the Southern African Plant Invaders Atlas (Henderson 2007; L Henderson, personal communication), Atlas of Living Australia (n.d.), GBIF (2019), and L Adams personal observations (see Adams 2020).

Figure 3

Figure 4. Cumulative increase in the number of recorded sites (from herbarium records) for Pyracantha angustifolia in South Africa, Japan, and Australia (adapted from the Atlas of Living Australia [n.d.]; GBIF [2019]; and the Southern African Plant Invaders Atlas [Henderson 2007; L Henderson, personal communication]).

Figure 4

Figure 5. Pyracantha angustifolia invasions in eastern Free State, South Africa. Such invasions included rocky hills on farms (A); prior open grasslands showing complete invasion (orange-tinted bushes) (B); roadsides, resulting difficulties in observing oncoming traffic for drivers (C); riparian systems (D); and open grassland converted to woody habitat (E) (Adams 2020).

Figure 5

Table 1. Global occurrences of Pyracantha angustifolia based on the Köppen-Geiger climate classification (Kottek et al. 2006).a

Figure 6

Figure 6. Global potential distribution area of Pyracantha angustifolia estimated using the MaxEnt model (grid cell mapping was 0.5° × 0.5°). Yellow to red shading indicates suitable climates, while blue dots show the current known distribution. The model is estimating the potential for naturalization. The plant may be found outside the modeled area under cultivation.

Figure 7

Figure A1. MaxEnt marginal response curves. 1 = Annual mean temperature; 3 = isothermality; 8 = mean temperature of wettest quarter; 10 = mean temperature of warmest quarter; 12 = mean annual precipitation; 15 = precipitation seasonality (coefficient of variation); 18 = precipitation of warmest quarter. Bioclim variable definitions are included in Kriticos et al. (2014).

Figure 8

Figure A2. MaxEnt marginal response curves. 1 = Annual mean temperature; 3 = isothermality; 8 = mean temperature of wettest quarter; 10 = mean temperature of warmest quarter; 12 = mean annual precipitation; 15 = precipitation seasonality (coefficient of variation); 18 = precipitation of warmest quarter. Bioclim variable definitions are included in Kriticos et al. (2014)

Figure 9

Figure A3. Comparison of the environmental similarity of variables in ASCII to the environmental data used for training the model. In the first picture, the multivariate environmental similarity surfaces (MESS) maps, the areas in red have one or more environmental variables outside the range present in the training data, so predictions in those areas should be treated with strong caution. The second picture shows the most dissimilar variable, i. e., the one that is furthest outside its training range. For details, see Elith et al. (2010).

Figure 10

Table A1. Definitions of classes in the Köppen–Geiger climate classification.

Figure 11

Figure A4. Known locations of Pyracantha angustifolia in its native region (China) and part of its invaded range (Japan). Colored shading represents climatic zones based on the Köppen-Geiger classification system (Kottek et al. 2006). Red dots represent refined data used in MaxEnt modeling, and blue dots represent additional available distribution data. Data sourced from GBIF (2019).

Figure 12

Figure A5. Known locations of Pyracantha angustifolia in Australia and New Zealand. Colored shading represents climatic zones based on the Köppen-Geiger classification system (Kottek et al. 2006). Red dots represent refined data used in MaxEnt modeling, and blue dots represent additional available distribution data. Data sourced from GBIF (2019) and Atlas of Living Australia (n.d.).

Figure 13

Figure A6. Known locations of Pyracantha angustifolia in France and Spain. Colored shading represents climatic zones based on the Köppen-Geiger classification system (Kottek et al. 2006). Red dots represent refined data used in MaxEnt modeling, blue dots represent all available distribution data. Data sourced from GBIF (2019).

Figure 14

Figure A7. Known locations of Pyracantha angustifolia in South Africa. Colored shading represents climatic zones based on the Köppen-Geiger classification system (Kottek et al. 2006). Red dots represent refined data used in MaxEnt modeling, and blue dots represent all available distribution data. Data sourced from GBIF (2019) and Southern African Plant Invaders Atlas (Henderson 2007).

Figure 15

Figure A8. Known locations of Pyracantha angustifolia in South America. Colored shading represents climatic zones based on the Köppen-Geiger classification system (Kottek et al. 2006). Red dots represent refined data used in MaxEnt modeling, and blue dots represent all available distribution data. Data sourced from GBIF (2019).

Figure 16

Figure A9. Known locations of Pyracantha angustifolia in North America. Colored shading represents climatic zones based on the Köppen-Geiger classification system (Kottek et al. 2006). Red dots represent refined data used in MaxEnt modeling, and blue dots represent additional available distribution data. Data sourced from GBIF (2019).