Article Information

Natasha Nikodinoska1
Llewellyn C. Foxcroft2,3
Mathieu Rouget4
Alessandro Paletto5
Sandra Notaro6

1Department of Environmental Sciences, Parthenope University of Naples, Italy

2South African National Parks, Conservation Services, Skukuza, South Africa

3Centre for Invasion Biology, Department of Botany and Zoology, Stellenbosch University, South Africa

4Centre for Invasion Biology, School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, South Africa

5Consiglio per la Ricerca e la sperimentazione in Agricoltura, Forest Monitoring and Planning Research Unit (CRA-MPF), Villazzano, Trento, Italy

6Department of Economics, University of Trento, Italy

Correspondence to:
Natasha Nikodinoska

Postal address:
Centro Direzionale, Isola C4, 80143 Napoli, Italy

Received: 18 Nov. 2013
Accepted: 27 Apr. 2014
Published: 02 July 2014
Republished: 15 July 2014

How to cite this article:
Nikodinoska, N., Foxcroft, L.C., Rouget, M., Paletto, A. & Notaro, S., 2014, ‘Tourists’ perceptions and willingness to pay for the control of Opuntia stricta invasion in protected areas: A case study from South Africa’, Koedoe 56(1), Art. #1214, 8 pages.

Additional supporting information may be found in the online version of this article as an Online Appendix:

This article was republished with the full second affiliation for Llewellyn C. Foxcroft and full affiliation for Mathieu Rouget.

Copyright Notice:
© 2014. The Authors. Licensee: AOSIS OpenJournals.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Tourists’ perceptions and willingness to pay for the control of Opuntia stricta invasion in protected areas: A case study from South Africa
In This Original Research...
Open Access
Material and methods
   • Study area
   • Data collection
   • Analysis
   • Willingness to pay for the control of Opuntia stricta
   • Perceptions of tourists to invasive alien plant species in South Africa
   • Willingness to pay for the control of Opuntia stricta
   • Perceptions of tourists to invasive alien plant species in South Africa
   • Competing interests
   • Authors’ contributions
Appendix 1
Appendix 2

Invasive alien plants have a long history of establishment in the national parks of South Africa. In particular, Opuntia stricta (sour prickly pear) has invaded several protected areas in the country, threatening the biodiversity conservation mandate of these conservation areas. This article focuses on the economic estimation of O. stricta’s negative impacts in protected areas by using Contingent Valuation surveys conducted amongst a sample of tourists in the Pilanesberg National Park (North West Parks and Tourism Board, South Africa). Tourists’ familiarity and awareness of selected invasive alien plants and their willingness to pay for the implementation of a control programme for O. stricta were assessed. The results show that many tourists are familiar with invasive alien plants and their (positive and negative) impacts and, in particular, perceived the presence of O. stricta to be negative, due to the impacts on aesthetics and recreation. Socio-demographic characteristics, as well as individual attitudes and biocentric beliefs, have an influence on the willingness to contribute financially to a control programme for O. stricta. The individual willingness to pay assessment found that the majority of respondents (78%) were willing to pay a higher entrance fee (an additional R57.30 or $7.00 per day) for a hypothetical programme to control the invasion of O. stricta in the Pilanesberg National Park.

Conservation implications: The willingness of tourists to pay for O. stricta management provides useful insights in the decision-making process of park management. The results are encouraging, since, in general, tourists are aware of the problem and are in support of providing additional economic input for preventing future alien plant invasions.


Biophysical aspects of invasive alien plants (IAPs) have been relatively well studied over a long period of time (e.g. Simberloff, Martin & Genovesi 2013; Vilà et al. 2011), whilst socio-economic aspects linked to alien plant invasions have been analysed only during the last two decades (Born, Rauschmayer & Bräuer 2005; Charles & Dukes 2007). This was mainly attributed to (1) the inability of the markets to capture the economic value of the damage caused by IAPs on many ecosystem services, (2) limited knowledge and experience with IAP impacts on many ecosystems and (3) conflicts of interest often associated with IAPs (Pejchar & Money 2009; Van Wilgen, Khan & Marais 2011), which can heavily influence IAP management and conservation policy. Constructive consideration of these challenges is of crucial importance, especially for protected areas (PAs) where management needs to ensure biodiversity conservation in the face of serious challenges (Emerton, Bishop & Thomas 2006), such as human-induced pressures, lack of financial resources and competing conservation projects (e.g. animal poaching).

Several methods for the economic valuation of IAP impacts have been employed in the past (Garrods & Willis 1999; Pejchar & Money 2009), namely cost-based (production function, replacement cost and avoided damage cost) and preference-based (travel cost method, contingent valuation and choice experiment) methods. Amongst the preference-based techniques, Contingent Valuation (CV) has commonly been used to assess the public’s perception of the impacts of IAPs and their willingness to pay (WTP) for control programmes. CV is a survey-based method where respondents directly state their preferences for quantitative or qualitative changes in ecosystem goods or services (Alberini & Kahn 2006; Mitchell & Carson 1989). Despite the fact that CV has its own limitations (Venkatachalam 2004), it is still viewed as a useful way to provide input into the decision-making process, especially when dealing with effects that are not expressed through market signals (Bräuer 2003). CV was employed to assess the economic value of potentially eradicating a single IAP, such as Eichhornia crassipes (Law 2008), Acacia saligna (Lehrer, Becker & Kurtiel 2013) or a set of IAPs (Bardsley & Jones 2006; Turpie 2004; Van Wilgen et al. 2001). Still, few studies have examined both tourists’ perceptions and their WTP for IAP control, especially in PAs that are directly dependent on tourism for their income.

The aim of this article is to assess tourists’ perceptions and knowledge of selected IAPs present in South Africa (SA) and, in particular, to investigate tourists’ WTP for the control of Opuntia stricta in PAs, using combined CV and visual aids surveys. Opuntia stricta was chosen because it can have severe impacts on PAs, without any important potential benefits for PAs, or for local communities in or around conservation areas, as the plant is not used for animal forage or human consumption. Other representatives of this group, like Opuntia ficus-indica, are important food and fodder resources for humans and animals and play an important role in the livelihood of local communities in Africa (Larsson 2004). Opuntia species were abundant in the Pilanesberg National Park (PNP) in the period from 1960–1984 and were treated mechanically and with herbicides (Carruthers 2011). Although it was not specified whether O. stricta was included in the species controlled, the plant has not become established; or if previously locally eradicated, has not become re-established and invaded PNP. However, we use this species as an example of a species (and specifically an Opuntia spp.) that could become problematic in PNP, as it has in other PAs in SA for example, Kruger National Park (Foxcroft et al. 2007) and Mapungubwe National Park (SANParks 2012).

Native to south-eastern USA, eastern Mexico and Cuba, O. stricta (Haw.) Haw. was introduced worldwide through natural (wind, bird, animal and floodwater) and anthropogenic pathways (Monteiro et al. 2005; Vilà et al. 2003). The causes for the man-made pathways include intentional introduction for ornamental purposes and as hedge plants (Monteiro et al. 2005). Opuntia stricta is present across much of the north-eastern region of SA (Henderson 2001; Rouget et al. 2004), including several PAs (Kruger National Park, Mapungubwe National Park, Camdeboo National Park and Karongwe Private Game Reserve, amongst others), indicating that even conservation areas are not immune to its invasion (Foxcroft et al. 2007; Masubelele, Foxcroft & Milton 2009).

Opuntia stricta can reach high densities and cause multiple negative ecological and economic impacts, such as the reduction of food production and the loss of grazing potential (Jullien, McFadyen & Cullen 2012; Menkins 2010); the restriction of human access that impedes people’s ability to travel and move without hindrance, mainly in rural areas (Larsson 2004); the reduction of the aesthetic value of a landscape and recreational activities (Parsons & Cuthbertson 2001); habitat transformation (Walters et al. 2011) and changes in biodiversity (Robertson et al. 2011).

Given the above-mentioned impacts and need for control, we estimated the potential economic value of reducing the negative impacts of O. stricta, as perceived by tourists in PAs. Tourists in PNP were considered as a sample group of visitors of PAs to test their WTP in a hypothetical situation of O. stricta invasion in a protected area.

Firstly, the knowledge and the perceptions of tourists towards IAPs in general, and O. stricta specifically, were investigated. Secondly, the tourists’ WTP for the implementation of an O. stricta control programme was determined. Studies on the outcomes of the Working for Water programme have shown that the control of IAPs results in increased water runoff, and enhances biodiversity (Van Wilgen et al. 2011). The associated cost–benefit analysis of this programme highlighted the net economic benefits in the long-term. The hypothesis of this study is that such a control programme produces extended benefits by improving the landscape value in PAs, enhancing financial support from tourists. We then discuss the advantages and drawbacks of using CV to elicit tourists’ perceptions and their willingness to contribute to a control programme, as well as the potential value of our preliminary results in reducing the knowledge gap in this field. Moreover, we discuss the potential contribution of the CV method in quantifying the negative impacts of an IAP that do not hold any market price, which could assist policy makers in placing an economic tolerance threshold on the invasiveness of alien plants.

Material and methods

Study area
The PNP is situated in the North West Province of SA, and has a total surface area of 57 200 ha. It is set in the crater of an extinct volcano and appears as a complex series of eroded rings of low mountains and hills that rise approximately 300 m – 600 m above the surrounding land (Carruthers 2011).

The PNP was proclaimed in 1977, but was not considered a ‘natural’ area because of the various anthropogenic activities by many inhabitants in the previous centuries. Nevertheless, it was restored ecologically from previous farmlands and converted into a conservation area (national park) where a variety of indigenous animals were reintroduced (Anderson 1986). This area is significant for biodiversity conservation because it is a transition zone between the Arid Savanna and the Moist Savanna Biome (Carruthers 2011). The landscape is highly heterogeneous and has many landscapes and habitat types, providing refuge for many species of plant and animal. It also has aesthetic attributes that attract many domestic and foreign tourists. Emerging from its recent complex political and management history, the number of visitors has increased steadily from fewer than 50 000 in 1992 to over 500 000 in the most recent records, which place PNP as the leading tourist attraction in North West Province (Ndabeni et al. 2007). Its close proximity to Gauteng (less than 3 hs’ drive) favours the presence of day (short-term) visitors from this province.

Data collection
Tourists’ perceptions of O. stricta invasion and their WTP for the implementation of a control programme were assessed using a CV survey (Alberini & Kahn 2006). We pre-tested the CV survey with students doing their Master’s degrees in ecology, and visited PNP a week before the formal survey to ask tourists in PNP for their comments. We discussed respondents’ understanding of IAPs and their impacts, and obtained feedback on the clarity and flow of the questionnaire content, provision of sufficient information, and time needed to fill in the questionnaire. Modifications were made based on the participants’ comments. Once finalised, the questionnaire was presented in person (by N. Nikodinoska) to a random sample of 61 visitors in PNP in December 2011 (one out of ten visitors sitting in the picnic site was interviewed). The survey lasted approximately 10 min per person. The semi-structured questionnaire comprised 24 closed-form questions (see Online Appendix 1), subdivided into four parts, following standard procedures described by Arrow et al. (1993).

Part 1 focused on tourists’ motivations, and total costs to visit the park (including tickets, travel, meals and lodging).

In Part 2, we evaluated tourists’ perceptions about the current status of selected IAPs and their knowledge of the negative and positive impacts that these have on ecosystem services, and function, using a 5-point Likert scale (1 = very low impact, 2 = low impact, 3 = medium impact, 4 = high impact, 5 = very high impact). The questions on familiarity and knowledge of the selected IAPs were important in understanding the quality of information provided in the WTP section (check questions). In the case of the negative impacts, a high value on the Likert scale is associated with high concerns amongst the respondents, whereas a high value given for the positive impacts reflects the perception of the historical or current usefulness of IAPs for industries or local livelihoods. Positive and negative impacts of IAPs were selected based on studies of social perceptions of the impacts of IAPs in different areas of SA (e.g. Bardsley & Jones 2006; Joubert & McLahren 2002; Tessendorf 2007). Six of the main genera and invasive species in SA were included: Acacia sp. (wattle), Pinus sp. (pine tree), Lantana camara (lantana), Eucalyptus sp. (gum tree), E. crassipes (water hyacinth) and Opuntia spp. (the common name ‘prickly pear’ is generally used for most species of platyopuntoid cacti). The negative impacts included in the list were agricultural weeds, damage to livestock, human health, ecosystem functioning, landscape aesthetics and costs of control methods. Positive impacts included the use or role of IAPs in the forestry sector, ornamental uses, historical uses and landscape aesthetics.

Part 3 assessed the visual preferences of the presence of O. stricta, using landscape photographs across a gradient of O. stricta abundance (see Online Appendix 2), as well as the WTP for the implementation of a control programme of O. stricta invasion. The photographs represented four scenarios of O. stricta infestation: about 10%, 20%, 40% and 60% of the total vegetation cover. A ‘business as usual’ scenario is characterised by a percentage of cover less than 5%. Thereafter, we presented a hypothetical scenario where O. stricta had invaded PNP and required a control programme to determine the invasion status, select and implement an appropriate control method, and conduct further monitoring. We used the first and the last photograph to represent two invasion scenarios: (1) less than 10% invasion, where a prompt control programme is necessary (i.e. rapid response) and (2) where a control programme is not in place (more than 50% infestation). An open-ended response format for the WTP question was adopted. The daily entrance fee was used as a means of determining tourists’ WTP for the implementation of the control programme, as respondents had already paid an entry fee for PNP, and this could be increased (or remain the same) depending on their response. Respondents were first asked to state whether they were prepared to pay a higher fee if they knew that this contribution would go directly to an O. stricta control programme, and then to state their maximum WTP. Whilst the surveys were conducted in December 2011, all values presented here are based on 2012 values. The entrance fee for 2012 was R65 for adults and R20 for pensioners and children.

Part 4 of the questionnaire requested personal information from the respondent (gender, age, level of education, home language and income).

A Tobit model was fitted to analyse the data and generate a predictive model of WTP (Tobin 1958). It is a censored (or truncated) regression model in which the range of the dependent variable (WTP values) is constrained in one way: above or below. In this particular case the censoring was made from below, with the threshold set to zero, meaning that values below zero were constrained. In cases of relatively large numbers of zero values, Tobit regression models using maximum likelihood estimation are preferred to linear models using ordinary least squares, as they predict only positive rational WTP values (Maddala 1983; Tobin 1958). Ordinary least squares models are in these cases downward biased. The Tobit model is still widely employed in CV surveys that use open-ended WTP questions (e.g. Du Preez, Tessendorf & Hosking 2010; Halkos & Jones 2012; Halstead, Lindsay & Brown 1991).

The selection of the variables (see Table 1 for variables and definitions) and their expected relationship with the individual WTP per day was based on behavioural theory review and previous studies on tourists’ perceptions of IAPs in SA (De Wit 2006; Tessendorf 2007). The explanatory variables are of both a qualitative and a quantitative nature. Qualitative variables are represented by dummy variables, where a value of 1 indicates the presence of the subject (e.g. previous visits to the park) and 0 the absence of the subject, whilst the quantitative variables are expressed by a continuous variable. The expected relationship between the explanatory variables and the WTP is positive if the monetary value increases in response to higher values of the predictive variable (e.g. respondents with a higher income are expected to state higher WTP values). The expected effect is negative if the amount increases in response to lower values of the predictive variables (e.g. tourists who give lower values for photographs with major infestations are expected to state high WTP amounts).

TABLE 1: Explanatory variables used in the Tobit model and their theoretical (expected) relationship with the individual willingness to pay.


Willingness to pay for the control of Opuntia stricta
The results from the CV show that 78% of the respondents were willing to pay additional fees in order to control the spread of O. stricta (Table 2). The value of WTP for these respondents ranged from R5 – R150 per day. About one third of the respondents who were willing to pay gave R100 as their WTP amount, 17% indicated R20 and 13% stated R10 as their WTP value.

TABLE 2: Willingness to pay values (2012 values).

Of the remaining responses, 13 tourists (22% of the respondents) refused to pay higher fees, and 12 had valid WTP zero values (i.e. tourist responses showed that they did not perceive invasion as a problem, therefore were not willing to pay). The reasons for valid zero WTP were mainly that the respondents perceived O. stricta and IAPs in general as a way of enhancing species diversity (three respondents), they were not interested in plants (one respondent), and they have become familiar with seeing them in the natural environment (one respondent). There was one protest response that stated his refusal to pay a higher price as a consequence of already high fees in the park. Of the respondents who were willing to pay higher fees, two did not quantify the amount they were willing to pay, and responded with ‘not sure’ and ‘reasonable amount’. One respondent did not provide his WTP. In this survey the ‘I don’t know’-type answers were excluded from the WTP analysis.

The Tobit model selection was based on the Bayesian information criterion value, where a lower value indicates a better fitting model. The variables in the Tobit model provide a relatively good explanation of WTP (Table 3). The mean daily WTP estimated by the Tobit model was found to be R57.30 (± 28.80 standard deviation [s.d.]). The positive value of the coefficient for the variable ‘Previous visits in South African parks’ shows that respondents who had previously visited parks are willing to pay a higher entrance fee for an IAP control programme. Similarly, the coefficient for the variable ‘Conservation’ (16.747) indicates that visitors who rated the conservation of the environment and typical landscape in PAs highly are willing to pay more. The respondents who perceived the photograph that represents the scenario of higher infestation levels (30% – 50% density) as unpleasant are willing to pay more in order to prevent the possible spread of O. stricta (Figure 3, in Online Appendix 2). Foreign respondents have a higher WTP for controlling IAPs than domestic respondents (variable ‘Nationality’). Tourists who come from Gauteng are also prepared to pay more than visitors from other regions (variable ‘Province’). Personal income, not surprisingly, influences the respondents’ WTP; namely, respondents with higher incomes are willing to pay a higher entrance fee (variable ‘Income’). The average annual income of the interviewed tourists is relatively high, with 26% earning more than R385 711 and 11% earning less than R55 100 per year (26% did not respond; Table 4). The rest of the tourists’ socio-demographics are included in Table 5.

TABLE 3: Tobit model.

TABLE 4: Categories of respondents’ income per year.

TABLE 5: Socio-demographics of tourists in the Pilanesberg National Park.

Perceptions of tourists to invasive alien plant species in South Africa
Tourists’ knowledge of IAPs was relatively high, with 75% of respondents having previously heard of the six invasive species (Figure 1). Where the respondents were asked to select the IAPs (of the given options) they know or have heard about, Acacia and Pinus (pine) spp. were the best known, followed by Eucalyptus sp. and Opuntia spp. When asked which species they could recognise when they see them, Opuntia spp., together with Pinus sp., were listed most frequently. Eichhornia crassipes was indicated as a problematic species in SA by 27% of the respondents, followed by Acacia sp. (23%) and Pinus sp. (22%). Opuntia species (generally prickly pear) and Acacia sp. (wattle) were indicated as problematic species within PAs (Figure 1). With the ‘Other’ option where respondents could list other species they were familiar with, Cereus jamacaru (Queen of the night) and Chromolaena odorata (Chromolaena) were frequently identified as problematic IAPs in SA.

FIGURE 1: Tourists perceptions of the negative impacts of invasive alien plants in South Africa and in protected areas in general.

In assessing the impacts from the list of benefits of IAPs in SA (Table 6), relatively high positive impact values were attributed to forestry uses (mean of 3.4), and pastoral and ornamental uses (3.03). Historical uses as well as landscape aesthetics were comparatively less ‘valued’ and with more variation in the responses.

TABLE 6: Mean value and standard deviation of positive and negative impacts of invasive alien plants in South Africa.

All listed negative impacts of the IAPs had an average value higher than 3 (out of 5), which means that respondents recognised the serious potential treats that invasions can cause. The highest negative values, 4.39 and 4.26 (out of 5), are related to the potential reduced performance of ecosystem functioning and increased costs for implementation of control programmes, respectively.


Willingness to pay for the control of Opuntia stricta
This survey design included landscape visual aids to better explain the hypothetical scenario. We believe that the use of photographs in CV surveys helps in the design of valuation scenarios, because landscape changes appear more understandable or visual to respondents (Madureira et al. 2011). Tourists’ perception of the aesthetic value of O. stricta control is therefore easier to convey using visual aids. A possible drawback of using these photographs could be due to the fourth photograph (see Online Appendix 2) representing an O. stricta invasion of more than 50%, in the description of the hypothetical scenario, which could have partially influenced some of the WTP positive values. Whilst this may not be a common situation, it is not unfeasible. Nevertheless, the outcomes of the photograph preference have shown that people attribute negative values to the O. stricta invasion, starting from the second photograph (11% – 30% invasion). Moreover, the outcome from the Tobit model showed that people who expressed their displeasure for the third photograph (30% – 50% invasion) were willing to pay more for the control programme.

One of the advantages of using an open-ended WTP question format is that the use of data sets are smaller than required by, for example, a dichotomous choice, which reduces the time and expense of the survey process (Halstead et al. 1991). This approach can, however, provide a lower (conservative) WTP value than other methods. Critics of this format assert that it can create a large number of non-responses, protest bids and outliers (Carson, Flores & Meade 2001; Hanemann 1994), but is efficient if respondents are familiar with paying for the subject of the survey and does not result in a starting point bias (Mitchell & Carson 1989). In our case study, the respondents demonstrated their awareness of the problem of IAPs and thus we are confident in the validity of our results.

The similarity of the tourists’ profile between PNP and other national PAs in SA (SANParks 2012; Van der Merwe & Saayman 2008) gives relatively higher validity to some of the socio-demographics features that were used as explanatory variables in the Tobit model. In particular, we focused on the variable ‘Income’ as an important predictor of the stated WTP. The average income of the respondents is relatively high, with 15% earning around R220 400 and another 15% earning more than R385 711 per year. This could be due to the tourists’ profile that (1) a large percentage comes from Gauteng, widely known as the most developed South African province and (2) eco-tourists are often people with a middle-high income (Statistics South Africa 2013). However, a non-negligible number of respondents (approximately 26%) refused to answer this question, which could have altered this outcome.

The individual daily WTP to finance a control programme in PNP is, on average, an additional R57.30, which is a substantial amount when considering the entrance fee for an adult is R65.00. The fact that 78% of the visitors are prepared to support an O. stricta control programme, of which a third are willing to pay R100.00 or more, strongly suggests that visitors to national parks are aware of the threat, and the seriousness, posed by IAPs. The individual WTP lies within a range of values obtained for another IAPs control programme in SA (Du Plessis 2003; Du Preez et al. 2010). A study on the WTP for the removal of alien vegetation and restoration of indigenous vegetation in several sites (including conservation areas) in Underberg (KwaZulu-Natal Province, SA), by the Working for Water programme, derived a WTP value of R26.40 (R36.30 in 2012 values) per project, and R27.34 (R37.30 in 2012 values) per hectare (Du Preez et al. 2010). Du Plessis (2003) estimated the individual average WTP for the removal of IAPs and biodiversity conservation in several sites in the Eastern and Western Cape Provinces (nature reserves included) using a CV survey conducted amongst both residents and tourists. The mean individual WTP was R111.54 (R153.57 in 2012 values).

Our estimation of the WTP appears to be relatively low, which could be explained by the fact that we investigated tourists’ preferences for a control programme implemented for just one IAP species. There is still a possibility that respondents overstated their WTP and that if O. stricta was to be included as only one of many IAPs to be controlled, the WTP amount could have been even lower (Garrods & Willis 1999). Another constraint is that due to the limited time available, there were fewer questionnaires than would be ideal; however, with the similarities in visitor profiles to other PAs, the spread of questionnaires across the range of tourists is acceptable.

Perceptions of tourists to invasive alien plant species in South Africa
The respondents rated the impact to ecosystem function and the expense of control methods as the highest concern, which is similar to the results found in a study in the Mediterranean region (Bardsley & Jones 2006). These were followed by the impacts to landscape aesthetics and by agricultural weeds. However, another study conducted in Spain shows that the changes in ecosystem stability is considered the third greatest impact of alien plants, after competition with native species and the effects on fauna (Andreu, Vilà & Hulme 2009). The results show that the impacts of IAPs on ecosystems and management control programmes are broadly recognised by the respondents.

The benefits of IAPs that were ranked highly by the respondents included use of species for forestry (commercial plantation forestry), pastoral uses, food, ornamental uses and historical uses. Greater importance placed on IAPs for forestry uses is perhaps related to the fact that there are still large areas of commercial plantations in SA (e.g. Eucalyptus and Pinus spp.). In the context of national parks, on the other hand, trees and woody shrubs (Acacia spp., Pinus spp. and L. camara) as well as Cactaceae (Opuntia spp.) were most frequently considered to have negative impacts.


Reducing the knowledge gap in the public perception of IAP impacts by providing quantitative data that could be integrated with other research in PAs can contribute to the scientific understanding on the economic valuation of IAP control programmes. The outcomes of studies on people’s perceptions of both positive and negative impacts of IAPs in SA can play a role in improving the development and implementation of conservation projects, especially in cases where ‘conflict’ alien species are considered. Moreover, it can also provide insight into the long-term potential of visitor-funded IAP control programmes as a feasible option. The benefits of a control programme could be over-estimated if it has not been established whether the beneficiaries (i.e. tourists and local community) recognise the problem and are willing to contribute to the restoration of the invaded areas.


Dr Llewellyn C. Foxcroft acknowledges the support from the South African National Parks, the Centre for Invasion Biology, Stellenbosch University and the National Research Fund (SA) Incentives Fund. We also thank Marc Hockings and the anonymous reviewers for their constructive comments that helped improve this article.

Competing interests
The authors declare that they have no financial or personal relationship(s) that may have inappropriately influenced them in writing this article.

Authors’ contributions
The authors contributed equally to this work.


Alberini, A. & Kahn, J.R. (eds.), 2006, Handbook on contingent valuation, Edward Elgar Publishing, London.

Anderson, J.L., 1986, ‘Restoring a wilderness: The reintroduction of wildlife to an African national park’, International Zoo Yearbook 24(1), 192–199.

Andreu, J., Vilà, M. & Hulme, P.E., 2009, ‘An Assessment of Stakeholder Perceptions and Management of Noxious Alien Plants in Spain’, Environmental Management 43, 1244–1255.

Arrow, K., Solow, R., Portney, P., Leamer, E., Radner, R. & Schuman, H., 1993, ‘Contingent Valuation Methodology Report’, Report of the NOAA Panel on Contingent Valuation. Fed. Reg. 58, Resources for the Future, Washington, pp. 4602–4614.

Bardsley, D. & Jones, E.G., 2006, ‘Stakeholders perception of the impacts of invasive exotic plants species in the Mediterranean Basin’, Geojournal 65, 199–210.

Born, W., Rauschmayer, F. & Bräuer, I., 2005, ‘Economic valuation on biological invasions – a survey’, Ecological Economics 55(3), 321–336.

Bräuer, I., 2003, ‘Money as an indicator: To make use of economic evaluation for biodiversity conservation’, Agriculture, Ecosystems and Environment 98, 483–491.

Carruthers, J., 2011, ‘Pilanesberg National Park, North West Province, South Africa: Uniting economic development with ecological design – a history, 1960s to 1984’, Koedoe 53(1), 1–10.

Carson, R.T., Flores, N.E. & Meade, N.R., 2001, ‘Contingent valuation: Controversies and evidence’, Environmental and Resource Economics 19, 173–210.

Charles, H. & Dukes, J.S., 2007, ‘Impacts of invasive species on ecosystem services’, in W. Nentwig (ed.), Biological invasions, vol. 193, pp. 217–237, Springer-Verlag Berlin Heidelberg, New York.

De Wit, M.P., 2006, ‘The value of biodiversity to the South African economy: A preliminary study’, Report prepared for South African National Biodiversity Institute, Project ‘Development of the SANBI Business Case’.

Du Plessis, L.L., 2003, ‘An assessment of selected non-water benefits of the Working for Water Programme in the Eastern and Southern Cape’, Master’s thesis, Faculty of Business and Economic Sciences, Nelson Mandela Metropolitan University.

Du Preez, M., Tessendorf, S. & Hosking, S.G., 2010, ‘Application of the contingent valuation method to estimate the willingness-to-pay for restoring indigenous vegetation in Underberg, KwaZulu-Natal, South Africa’, South African Journal of Economic and Management Sciences 13(2), 135–157.

Emerton, L., Bishop, J. & Thomas, L., 2006, Sustainable Financing of Protected Areas: A global review of challenges and options, IUCN, Gland, Switzerland and Cambridge, UK.

Foxcroft, L.C., Rouget, M., Richardson, D.M. & MacFadyen, S., 2007, ‘Reconstructing 50 years of Opuntia stricta invasion in the Kruger National Park, South Africa: Environmental determinants and propagule pressure’, Diversity and Distributions 10, 427–437.

Garrods, G. & Willis, K., 1999, Economic valuation of the environment: Methods and case studies, Edward Elgar, Cheltenham.

Halkos, G.E. & Jones, N., 2012, ‘Modeling the effect of social factors on improving biodiversity protection’, Ecological Economics 78, 90–99.

Halstead, J.M., Lindsay, B.E. & Brown, C.M., 1991, ‘Use of Tobit model in contingent valuation: Experimental evidence from the Pemigewasset Wilderness Areas’, Journal of Environmental Management 33, 79–89.

Hanemann, W.M., 1994, ‘Valuing the environment through contingent valuation’, Journal of Economic Perspective 8, 19–43.

Henderson, L., 2001, Alien weeds and invasive plants: A complete guide to declared weeds and invaders in South Africa, Plant Protection Research Institute Handbook No. 12., Agricultural Research Council, Pretoria.

Joubert, P. & McLahren, L., 2002, ‘Awareness on alien vegetation in Kruger National Park’, SANParks (unpublished data).

Jullien, M., McFadyen, R. & Cullen, J., (eds.), 2012, Biological Control of Weeds in Australia, CSIRO Publishing, Melbourne, pp. 351–364.

Larsson, P., 2004, ‘Introduced Opuntia spp. in Madagascar, problems and opportunities’, Swedish University of Agricultural Sciences, SLU/Repro, Uppsala.

Law, M.C., 2008, ‘Willingness to pay for the control of water hyacinth in an urban environment of South Africa’, Master’s thesis, Rhodes University.

Lehrer, D., Becker, N. & Kurtiel, P., 2013, ‘The Value of Coastal Sand Dunes as a Measure to Plan an Optimal Policy for Invasive Plant Species: The Case of the Acacia saligna at the Nizzanim LTER Coastal Sand Dune Nature Reserve, Israel’, Springer Series on Environmental Management, 273–288.

Maddala, G.S., 1983, Limited-dependent and Qualitative Variables in Econometrics, Cambridge University Press, Cambridge.

Madureira, L., Nunes, L.C., Borges, J.G. & Falcão, A.O., 2011, ‘Assessing forest management strategies using a contingent valuation approach and advanced visualisation techniques: A Portuguese case study’, Journal of Forest Economics 17, 399–414.

Masubelele, M.L., Foxcroft, L.C. & Milton, S., 2009, ‘Alien plant species list and distribution for Cambedoo National Park, Eastern Cape Province, South Africa’, Koedoe 51, 1–16.

Menkins, I., 2010, ‘A Reassessment of the Type of Opuntia stricta (Haw.) Haw.’, viewed 20 September 2013, from

Mitchell, R.C. & Carson, R.T., 1989, Using surveys to value public goods: The contingent valuation method, Resources for the Future, Washington.

Monteiro, A., Cheia, V.M., Vasconcelos, T. & Moreira, I., 2005, ‘Management of the invasive species Opuntia stricta in a Botanical Reserve in Portugal’, Weed Research 45(3), 193–201.

Ndabeni, C., Shroyer, M., Boonzaaier, W., Mokgoko, G. & Mochin, S., 2007, ‘The Heritage Park Model: A partnership approach to park expansion in poor rural areas’, in A. Watson, J. Sproull & L. Dean (eds.), Science and stewardship to protect and sustain wilderness values: Eight World Wilderness Congress symposium, Proceedings RMRS-P-49, n.p., Department of Agriculture, Forest Service, Rocky Mountain Research Station, US.

Parsons, W.T. & Cuthbertson, E.G., 2001, Noxious weeds of Australia, 2nd edn., CSIRO Publishing, Victoria, Australia.

Pejchar, L. & Money, H., 2009, ‘Invasive species, ecosystem services and human well-being’, Trends in Ecology and Evolution 24(9), 497–504.

Robertson, M.P., Harris, K.R., Coetzee, J., Foxcroft, L.C., Dippenaar-Schoeman, A.S. & Van Rensburg, B.J., 2011, ‘Assessing local scale impacts of Opuntia stricta (Cactaceae) invasion on beetle and spider diversity in Kruger National Park, South Africa’, African Zoology 46(2), 205–223.

Rouget, M., Richardson, D.M., Nel, J.A., Le Maitre, D.C. & Egoh, B.T., 2004, ‘Mapping the potential ranges of major plant invaders in South Africa, Lesotho and Swaziland using climatic suitability’, Diversity and Distributions 10, 475–484.

South African National Parks (SANParks), 2012, Annual report 2011/2012, viewed n.d., from

South African National Parks (SANParks), 2012, Mapungubwe National Park and World Heritage Site Management Plan, viewed n.d., from

Statistics South Africa, 2013, Domestic Tourism Survey 2012. Statistical Release, viewed n.d., from

Simberloff, D., Martin, J.L. & Genovesi, P., 2013, ‘Impacts of biological invasions: What’s what and the way forward’, Trends in Ecology and Evolution 28, 58–66.

Tessendorf, S.E., 2007, ‘Estimating the willingness-to-pay for restoring indigenous vegetation at selected sites in South Africa’, Master’s thesis, Nelson Mandela Metropolitan University.

Tobin, J., 1958, ‘Estimation of relationships for limited dependent variables’, Econometrica 26(1), 24–36.

Turpie, J., 2004, ‘The role of resource economics in the control of invasive alien plants in South Africa: Working for water’, South African Journal of Science 100(1 & 2), 87.

Van der Merwe, P. & Saymaan, M., 2008, ‘Travel motivations of tourists visiting Kruger National Park’, Koedoe 50, 154–159.

Van Wilgen, B.W., Khan, A. & Marais, C., 2011, ‘Changing perspectives on managing biological invasions: Insights from South Africa and the Working for Water Programme’, in D.M. Richardson (ed.), Fifty years of Invasion Biology: The legacy of Charles Elton, pp. 377–393, Blackwell Publishing Ltd, UK.

Van Wilgen, B.W., Richardson, D.M., Le Maitre, D.C, Marais, C. & Magadlela, D., 2001, ‘The economic consequences of alien plant invasion: Examples of impacts and approaches to sustainable management in South Africa’, Environment, Development and Sustainability 3, 145–168.

Venkatachalam, L., 2004, ‘The contingent valuation method: A review’, Environmental impact assessment review 24(1), 89–124.

Vilà, M., Burriel, J.A., Pina, J., Chamizo, J., Llach, E., Porterias, M. et al., 2003, ‘Association between Opuntia species invasion and changes in land-cover in the Mediterranean region’, Global Change Biology 9(8), 1234–1239.

Vilà, M., Espinar, J.L., Hejda, M., Hulme, P.E., Jarošík, V., Maron, J.L. et al., 2011, ‘Ecological impacts of invasive alien plants: A meta-analysis of their effects on species, communities and ecosystems’, Ecological Letters 14, 702–708.

Walters, M., Figueiredo, E., Crouch, N.R., Winter, P.J.D., Smith, G.F., Zimmermann, H.G. et al., 2011, ‘Naturalised and invasive succulents of Southern Africa’, Abc Taxa 11, 1–10.

Appendix 1

Questionnaire on invasive alien plants in national parks


I’m a student enrolled in a Master’s course in Environmental and Tourism Economics at the University of Trento, Italy. The questionnaire is part of the research for my thesis in a cost–benefit analysis of clearing invasive alien plants in national parks, which I’m currently conducting at the University of Pretoria. The completion of this questionnaire will take approximately 10 minutes. If you are unable to provide me with exact details, please answer as precisely and correctly as possible.

Part 1

1. Have you visited any parks in South Africa?

2. If yes, list the parks that you’ve visited



3. What is your main reason for visiting the park? (The answer can be more than one)

a. To see animals
b. To see plants
c. To see endangered wildlife
d. To take photographs of wildlife and landscapes
e. Educational reasons
f. Other, specify_________________________________

4. How many days will you spend in this park?

5. Could you give an estimate of the total cost (including travel, meals and lodging, visits) for the holiday in this park?

6. Did you book any of these services? If yes, please select the appropriate service. Otherwise, select ‘No’ and go to question number 8.

a. Lodge (suite, cottage)
b. Chalet
c. Safari tent
d. Tour and safari
e. Other services ___________________
f. No

7. If yes, could you please give the amount that you have paid for the service?

8. How important is the conservation of the environment and the typical landscape within protected areas? (1 = not at all, 5 = very important). We would like to remind you that there isn’t either correct or incorrect answer.

9. Are you member of an environmental group? (e.g. WWF, Greenpeace, etc.)

10. Have you heard about invasive alien plants? If NO, go directly to Part 2 of the questionnaire.

11. Below is a list of plants. In the first column please tick the plants that you know or have heard of. In the second column, tick the plants that you can recognise when you see them. In the third column, tick the plants that you think are a problem in South Africa. In the fourth column, tick the ones that you think are a problem in national parks.

People have different opinions and information about invasive alien plants. Please use the scale from 1 to 5 to respond the questions below (1 = not at all important, 5 = very important). We would like to remind you that there isn’t either a correct or incorrect answer.

12. What are the negative impacts of invasive alien plants? Please answer all the questions.

13. What are the positive impacts of invasive alien plants? Please answer all the questions.

Part 2

14. The following four photographs indicate the possible state of invasion of prickly pear within a park. Express your preferences related to each of these photographs using the scale from -2 to 2 (-2 = not pleasant at all, 0 = indifferent, 2 = very pleasant).

15. Please select the entrance fee that you have paid in this park.

Would you be willing to pay a higher entrance fee in order to contribute to the prevention of the spread of sour prickly pear in the park (through operations such as detection, research, eradication and monitoring)?

If yes, how much more would you be willing to pay to avoid
Opuntia stricta from spreading in the park?


16. Could you please give reasons why you are willing to pay a higher entrance fee?


Could you please give reasons why you are willing to pay the same entrance fee?


General Information

17. Gender

18. Age ____________

19. Nationality ______

20. If South African, please answer the following questions:

21. Number of people in your family who have paid the entrance fee of R65.

22. Number of pensioners and children in your family who have paid the entrance fee.

23. Qualification

• School
• Graduate degree
• Post graduate – Honours
• Doctorate degree

24. Please indicate if you are currently employed in one of these sectors. If not, select ‘Other’ and specify the sector or indicate your position as student, pensioner or unemployed.

• Agriculture
• Forest industry
• Tourism
• Conservation
• Education
• Other (please specify which sector __________________)
• Student
• Pensioner
• Unemployed

25. Income per year (€1 = R11.02; €1= $1.35). Choose one of the following categories:

Appendix 2

FIGURE 1: Invasion with less than 10% cover.

FIGURE 2: Invasion with between 11% and 30% cover.

FIGURE 3: Invasion with between 31% and 50% cover.

FIGURE 4: Invasion with more than 50% cover.

Note: This is the online appendix of Nikodinoska, N., Foxcroft, L.C., Rouget, M., Paletto, A. & Notaro, S., 2014, Tourists perceptions and willingness to pay for the control of Opuntia stricta invasion in protected areas: A case study from South Africa, Koedoe 56(1), Art. #1214, 8 pages.

Crossref Citations

No related citations found.