| Literature DB >> 25003195 |
Franziska Humair1, Christoph Kueffer2, Michael Siegrist1.
Abstract
Horticultural trade is recognized as an important vector in promoting the introduction and dispersal of harmful non-native plant species. Understanding horticulturists' perceptions of biotic invasions is therefore important for effective species risk management. We conducted a large-scale survey among horticulturists in Switzerland (N = 625) to reveal horticulturists' risk and benefit perceptions from ornamental plant species, their attitudes towards the regulation of non-native species, as well as the factors decisive for environmental risk perceptions and horticulturists' willingness to engage in risk mitigation behavior. Our results suggest that perceived familiarity with a plant species had a mitigating effect on risk perceptions, while perceptions of risk increased if a species was perceived to be non-native. However, perceptions of the non-native origin of ornamental plant species were often not congruent with scientific classifications. Horticulturists displayed positive attitudes towards mandatory trade regulations, particularly towards those targeted against known invasive species. Participants also expressed their willingness to engage in risk mitigation behavior. Yet, positive effects of risk perceptions on the willingness to engage in risk mitigation behavior were counteracted by perceptions of benefits from selling non-native ornamental species. Our results indicate that the prevalent practice in risk communication to emphasize the non-native origin of invasive species can be ineffective, especially in the case of species of high importance to local industries and people. This is because familiarity with these plants can reduce risk perceptions and be in conflict with scientific concepts of non-nativeness. In these cases, it might be more effective to focus communication on well-documented environmental impacts of harmful species.Entities:
Mesh:
Year: 2014 PMID: 25003195 PMCID: PMC4086969 DOI: 10.1371/journal.pone.0102121
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Description of the ornamental plant species used in this study.
| Plant | Common English Name | Assessed Impact | |
|
| |||
| 1 |
| Butterfly bush | Cause damage |
| 2 |
| Japanese honeysuckle | Cause damage |
| 3 |
| Cherry laurel | Cause damage |
| 4 |
| Black locust | Cause damage |
| 5 |
| Red-osier dogwood | Potential to cause damage |
| 6 |
| Russell lupin | Potential to cause damage |
| 7 |
| Leatherleaf viburnum | Potential to cause damage |
| 8 |
| Oregon grape | Potential to cause damage |
| 9 |
| Princess tree | Potential to cause damage |
| 10 |
| Creeping sedum | Potential to cause damage |
| 11 |
| Chinese windmill palm | Potential to cause damage |
| 12 |
| Henry's honeysuckle | Potential to cause damage |
| 13 |
| Russian vine | None |
| 14 |
| Lilac | None |
| 15 |
| Wisteria | None |
|
| |||
| 16 |
| English holly | None |
| 17 |
| Blackthorn | None |
| 18 |
| European spindle tree | None |
Species are ordered according to their assessed impact. In the questionnaire, these plant species appeared in a random order.
Note: Status of origin for all species is taken from Flora indicativa [42].
Assessed impact is based on whether the species is listed on the Black-List, or on the Watch-List [43].
*At the time of our study, the use of F. baldschuanica in horticulture was allowed by Swiss authorities, although the species belongs to the Fallopia-complex, that was included in the list of prohibited plant species [46], but not in the Black- or the Watch-List.
Perceptions of risk and benefit, and attitudes towards the willingness to engage in risk mitigation behavior and factor loadings from principal component analysis.
| Scales and Items |
| Factor loadings | |
|
| |||
| 1 | What is your general estimate of the size of the problem caused by invasive non-native plants in Switzerland? | 3.99 (1.34) | |
|
| |||
| 2 | For my business, non-native plants are economically important. | 3.70 (1.74) | |
| 3 | It is easier to sell exotic plants than native species. | 3.51 (1.53) | |
| 4 | The choice of plants has to be complemented by non-native plants because native ones do not possess all of the properties desired by the customers. | 4.77 (1.43) | |
| 5 | New species and cultivars may improve biodiversity. | 3.40 (1.60) | |
| 6 | If I don't sell a non-native plant because of the risk it poses to the environment, my customers may buy it in another store. | 3.66 (1.75) | |
| 7 | To me, it is important to frequently offer my customers new species and cultivars. | 3.79 (1.60) | |
| 8 | The cultural value of a horticultural landscape is essentially dependent on new species and cultivars. | 2.97 (1.54) | |
| 9 | Non-native plants belong to our gardening culture. | 4.12 (1.59) | |
|
| |||
| 10 | As long as one cannot rule out the possibility that a non-native plant will become invasive in Switzerland, a ban on the import of this plant should be imposed. | 3.36 (1.83) | 0.72 |
| 11 | In Switzerland, trade of non-native plants does not require legal regulations. | 2.96 (1.85) | 0.64 |
| 12 | There should be no restrictions on importation of non-native plants into Switzerland, as long as there is no evidence that these plants potentially become invasive in Switzerland. | 3.70 (1.82) | 0.65 |
| 13 | No plants should be allowed for import into Switzerland that have been shown to have been invasive in another country. | 4.50 (1.68) | 0.57 |
| 14 | Increase prices for plants that are included in the Black list (i.e. plants that had been listed by the Swiss Commission of Wild Plant Conservation to be invasive non-native plants in Switzerland, and that cause negative impacts in the context of biodiversity, health, and/or economy). | 3.00 (1.93) | 0.48 |
| 15 | Remove plants from my stock that are listed on the Black-list. | 4.64 (1.56) | 0.68 |
| 16 | Ban the sale of any non-native plant, until it has been shown that it does not pose a danger to humans or the environment. | 3.90 (1.73) | 0.76 |
| 17 | Inform customers about invasive non-native plant species. | 5.31 (1.03) | 0.62 |
| 18 | Promote the sale of native plants. | 4.73 (1.40) | 0.52 |
Note: Numbers vary from 608 to 622 because of missing data. Rating scales for item 1 went from 1 = ‘very small problem’ to 6 = ‘very big problem’, for items 2–13 from 1 = ‘not agree at all’ to 6 = ‘totally agree’, and for items 14–18 from 1 = ‘I cannot imagine at all’ to ‘I can imagine very well’.
*Item was recoded prior to principal component analysis. Some of the survey questions were adapted from Peters et al. [24] and Coats et al. [19].
Socio-demographic characteristics of the analysis sample (N = 625).
| Variable | N | % |
|
| ||
| Male | 576 | 93 |
| Female | 41 | 7 |
|
| ||
| Primary/lower secondary school | 22 | 4 |
| Upper secondary vocational school/upper secondary university preparation school | 297 | 49 |
| College/university | 174 | 28 |
| Special training (e.g., gardener in chief) | 119 | 19 |
|
| ||
| Private consumer business | 395 | 66 |
| Wholesale market | 30 | 5 |
| Mixed clientele | 172 | 29 |
|
| ||
| Horticulture, landscape architecture & gardening | 219 | 36 |
| Horticulture & landscape architecture | 133 | 22 |
| Gardening | 86 | 14 |
| Potted plants and cut flowers | 77 | 13 |
| Tree nurseries | 43 | 7 |
| Various combinations of horticultural sectors | 47 | 8 |
|
| ||
| 1–5 | 280 | 45 |
| 6–15 | 194 | 31 |
| 16–30 | 79 | 13 |
| >30 | 65 | 11 |
|
| ||
| General manager/brand manager | 538 | 89 |
| Head of department | 39 | 6 |
| Other position, e.g., in administration | 31 | 5 |
|
|
|
|
| In years | 47 | 11 |
Figure 1Perceived origin of plants used in this study.
Descriptives of variable perceived environmental threat if not handled correctly and point-biserial correlations between perceived importance and perceived environmental threat.
| Plant name | % of Participants who Perceived Environmental Threat | Correlations: Importance Landscape Design in Switzerland vs. Environmental Threat | Correlations: Importance Own Business vs. Environmental Threat |
|
| 85 | −0.35 | −0.26 |
|
| 70 | −0.29 | −0.24 |
|
| 69 | −0.28 | −0.28 |
|
| 54 | −0.27 | −0.28 |
|
| 37 | −0.34 | −0.25 |
|
| 46 | −0.32 | −0.30 |
|
| 45 | −0.29 | −0.26 |
|
| 34 | −0.28 | −0.21 |
|
| 33 | −0.27 | −0.29 |
|
| 52 | −0.26 | −0.27 |
|
| 58 | −0.24 | −0.15 |
|
| 42 | −0.22 | −0.18 |
|
| 68 | −0.35 | −0.36 |
|
| 13 | −0.16 | −0.17 |
|
| 11 | −0.14 | −0.17 |
|
| 15 | −0.23 | −0.23 |
|
| 22 | −0.19 | −0.22 |
|
| 6 | −0.11 | −0.16 |
Note:
**p<.01;
Rating scales for perceived importance went from 1 = ‘absolutely unimportant’ to 6 = ‘very important’; perceived environmental threat: 0 = ‘no threat’ and 1 = ‘threat’; N varies between 569 and 610, reflecting missing values.
Figure 2Association of Origin and Risk Perception.
The percentages of participants who perceived a plant as an environmental threat depending on the perceived origin of the plant. Note: *p<.05, **p<.01, ***p<.001, Fisher's exact test, one-tailed. N corresponds to the number of study participants who classified a plant as either non-native or native.
Results of multiple regression analysis with Willingness to Engage in Risk Mitigation Behavior as dependent variable.
| Independent Variable |
|
| β |
|
| |||
|
| 0.08 | 0.14 | 0.02 |
|
| |||
| 21–40 years | −0.01 | 0.08 | 0.00 |
| 41–60 years | - | - | - |
| over 60 years | 0.03 | 0.11 | 0.01 |
|
| 0.04 | 0.11 | 0.01 |
|
| |||
| Horticulture, landscape architecture, and gardening | |||
| Horticulture and landscape architecture | 0.24 | 0.09 | 0.09 |
| Gardening | 0.19 | 0.11 | 0.06 |
| Potted plants and cut flowers | −0.12 | 0.11 | −0.04 |
| Tree nursery | −0.31 | 0.15 | −0.08 |
| Others (combination of several sources of income) | −0.09 | 0.13 | −0.02 |
|
| |||
| Wholesale market | −0.20 | 0.16 | −0.04 |
| Private consumer business | - | - | - |
| Mixed clientele | 0.04 | 0.08 | 0.02 |
|
| |||
| 1–5 employees | - | - | - |
| 6–15 employees | 0.02 | 0.08 | 0.01 |
| 16–30 employees | −0.07 | 0.11 | −0.02 |
| Over 30 employees | −0.19 | 0.12 | −0.06 |
|
| |||
|
| −0.34 | 0.04 | −0.35 |
|
| 0.30 | 0.03 | 0.39 |
Note:
*p<0.05,
**p<0.01,
***p<0.001,
N = 541, R = 0.48, adjusted R = 0.46.
Dummy variable gender was coded as 0 = male, 1 = female. Position in Business was coded as 0 = other (e.g., head of department/administration), 1 = general manager or branch manager.
Reference category.