First, we present the results of the questionnaire survey carried out among local governments, then compare the results of the questionnaires filled in by national park directorates and state forestry companies.
3.1. Results of the Survey Conducted Among Local Governments
After cleaning, 221 questionnaires were used for the analysis. The distribution of the local governments was quite balanced among Budapest/Pest County (33%), the western (41%), and the eastern (26%) part of Hungary. In terms of population, two-thirds (67%) of the participating settlements (including districts of Budapest) had less than 5000 inhabitants, 21% had between 5001 and 25,000, while 12% had over 25,000 inhabitants (only 3% had over 100,000 inhabitants in the whole sample). In terms of position, 46% of the respondents were mayors or legal and administrative heads of the municipality, while only 8% could be considered experts in either environmental issues or park management, and the rest (46%) were in the other categories (responsible for administrative tasks, asset management, authoritative tasks, or it was not specified).
We had a question about recognising A. altissima by showing three pictures with three plant species, and the respondent had to mark A. altissima. Only 59% of the respondents gave the right answer; the rest did not recognise the species. Respondents representing settlements (including districts of Budapest) with a larger number of inhabitants recognised A. altissima with a significantly higher percentage than those of smaller settlements (less than 5000 inhabitants: 56%, 5001–25,000: 76%; over 25,000: 85%) based on the chi2 test (p < 0.05). Respondents representing municipalities from Budapest and Pest County recognised A. altissima with a significantly higher percentage than from the other two regions (Budapest/Pest County: 73%, West: 53%, East: 52%) based on the chi2 test (p < 0.05).
In terms of perceived negative impacts, the highest number of respondents (91%) indicated that it displaces native species, while the other negative impacts were marked by less than 26% of all respondents. Based on the chi
2 test, a significantly higher percentage of respondents indicated some negative impacts (displacing native species, releasing anti-sprouting compounds into the soil, causing damage to agriculture) among those who recognised the species (
p < 0.05) (
Table 2). Regarding the positive impacts, a few options were marked by at least 30% of all respondents (giving a shade, being a good honey making plant, not being aware of any positive effects). Based on the chi
2 test, a significantly lower percentage of respondents indicated an exotic look as a positive impact among those who recognised the species (
p < 0.05) (
Table 2).
In the following, we focus on the answers of only those respondents who recognised the species (n = 131). 80% of the respondents recognising the species indicated that the A. altissima was present in their settlement. A significantly higher percentage of respondents of Budapest/Pest County (89%) and the Eastern region (83%) indicated the presence of the species than of the Western region (69%), based on the chi2 test (p < 0.05). A significantly higher percentage of respondents marked the presence of the species in settlements with a larger number of inhabitants than in smaller settlements (less than 5000 inhabitants: 69%; 5001–25,000: 91%; more than 25,000: 100%) based on the chi2 test (p < 0.05).
In the following, we focus on the answers of respondents who recognised the species and indicated the presence of A. altissima in their settlements (n = 105). Places where the species were observed were marked as follows: outside the inhabited area (53%), along roads (52%), in gardens (47%), in parks (25%). Some other places were mentioned as well (e.g., in forests and forest edges, near buildings, in the cemetery). More answers could be marked. The majority of the respondents recognising the species and indicating its presence in the settlement (95%) did not know when A. altissima was introduced into the settlement, but a majority of them (87%) indicated how it was probably introduced. A large percentage of respondents marked that it appeared spontaneously (76%), and a smaller percentage thought that it came from private areas, e.g., gardens (28%), or was planted by the municipality (3%). More than one answer could be marked.
The majority of respondents recognising the species and marking its presence (84%) had an idea how A. altissima was spreading. More than one answer could be marked. The order of the perceived ways was as follows: new seedlings sprout from the seeds of older trees (55%), sprout from the ground after felling trees (54%), spread along the roads (32%), and are planted by inhabitants (3%).
Only 10% of the respondents recognising the species and indicating its presence (N = 105, 100%) marked that A. altissima was monitored, but 36% stated that the municipality used some eradication methods (only mechanical: 25%, only chemical: 1%, and a combination of the two: 10%). Some respondents indicated the use of some eradication methods even though they marked before that they had not eradicated A. altissima. We corrected the inconsistencies in a way that we counted the exact methods only for the consistent answers (who marked before that eradication had taken place). Respondents from settlements with a larger number of inhabitants indicated the control of the species at a significantly higher rate than respondents from smaller settlements (less than 5000 inhabitants: 26%; 5001–25,000: 34%; more than 25,000: 64%) based on the chi2 test (p < 0.05). Only a few respondents mentioned financial resources, where the internal source (budget of the municipality) was dominating. 59% of the respondents recognising the species and marking its presence indicated that the eradication could be performed within the public works programme (a state financed programme for temporary employment).
A total of 75% of respondents recognising the species (n = 131, 100%) marked that they would like to obtain more information about the species (impacts: 54%, control methods: 47%), 79% thought that cooperation with other stakeholder groups was needed (with residents: 63%, with forestry companies and nature conservationists: 62%).
In case
A. altissima was perceived present in the settlement, the negative impacts, reasons for introduction, and need for information and cooperation were indicated significantly more often compared to those settlements where they were not seen, based on the chi
2 or Fisher’s exact test (
p < 0.05) (
Table 3).
3.2. Results of the Survey Conducted Among National Park Directorates and Districts of State Forestry Companies
All 10 national park directorates (NPDs), 108 state forestry units (SFUs), and two state forestry companies (summarising the answers for all of their forestry units) filled in the questionnaires. We treated forestry companies as units for the analysis (N = 110). Both groups (NPDs and SFUs) cover the whole country, and their distribution follows the size of the three regions identified (Pest County/Budapest: 10–14%, West: 40–46%, and East: 40–50%). Respondents were experts; therefore, no question about recognising the species was included.
The seriousness of the problem was ranked by the respondents on a scale of −5 (very serious problem) to +5 (very positive). Based on the Mann–Whitney U test, there was no difference between the two groups (NPDs and SFUs) (p = 0.411), medians were −4 for both groups, showing that they considered the spread of the species as a serious problem.
Negative impacts, especially negative ecological impacts of
A. altissima, were perceived in both groups in higher percentages than positive impacts. The only statistically significant difference between the two groups was the perception about the negative economic impacts based on Fisher’s exact test (
p < 0.05), indicated only by the SFUs (forestry units) (
Table 4). In the comparison with the survey among local governments, local governments indicated positive impacts at a higher percentage (63%) than the two expert groups, and the difference was significant based on the chi
2 test (
p < 0.05). Nevertheless, we need to note that for local governments there was a predefined list the respondents could choose from, while for the two expert groups it was an open question.
Table 5 shows the comparison of the two expert respondent groups (NPDs and SFUs) regarding the perceived main factors influencing the spread of
A. altissima. Human inaction was perceived by the highest percentage of respondents in both groups as an influencing factor of spreading. Based on Fisher’s exact test, the only statistically significant difference between the two groups (
p < 0.05) was the perception about the influence of human activities on the spread of the species, which was indicated by a larger percentage of the NPDs (national park directorates). Lack of eradication and abandonment of some areas were mentioned as examples of human inaction that contributed to the spread of the
A. altissima. Human disturbances in forests, in other habitats, and along roads, as well as planting the species in settlements, were mentioned as human actions assisting the dispersal of the species. The changing climate and the wind were indicated as favourable environmental conditions influencing the spread of the species. The ability of
A. altissima to occupy an area, its allelopathic effects, rapid growth, very good sprouting ability, and productivity already in a few years were named as characteristics contributing to the expansion of the species.
More than two-thirds of the respondents in both groups (NPDs: 70%, SFUs: 75%) indicated that A. altissima was present in more than 1 hectare in the forest areas they manage. A significantly higher percentage of respondent organisations indicated the presence of the species in the Western region (84%) and in Budapest/Pest County (81%) than in the Eastern region (63%) based on the chi2 test (p < 0.05).
In the following, we use the subgroups where the species was present for the analysis (NPDs: n = 7, SFUs: n = 83). 45% of the state forestry units, which had A. altissima in their territory, utilised the species, but none of the national park directorates did. This difference was significant based on Fisher’s exact test (p < 0.05). The speed of spreading was ranked by the respondents on a scale of 0 (not spreading) to 5 (spreading rapidly). Based on the Mann–Whitney U test, there was no difference between the two groups (medians for NPDs: 3 and SFUs: 2, p = 0.735), showing that they considered the spread of the species moderate. The size of the area covered by A. altisssima was not uniformly interpreted among the respondents (e.g., covered only with this species or mixed with other species). Nevertheless, the medians were less than 100 hectares in both groups (NPDs: 80 ha, SFUs: 41 ha), and the difference was not significant based on the Mann–Whitney U test (p = 0.725). In general, a higher ratio of the areas covered by the species was protected regarding the territories of the national park directorates than the state forestry units (median for NPDs: 80%, SFUs: 1%), and it was significant, based on the Mann–Whitney U test (p < 0.05).
A larger percentage of SFUs that had A. altissima in their territory stated that the species caused some economic problems in their forestry activities, while a larger percentage of NPDs indicated that it caused ecological problems in their forestry management. Both differences were significant based on Fisher’s exact test (p < 0.05).
Most organisations in both groups that had
A. altissima in their territory used some eradication methods, more often chemical and mechanical than biological methods, and at least half of them in each group used more than one method. The majority of both organisations (NPDs and SFUs) used control measures after eradication. There were no significant differences between the groups based on Fisher’s exact test (
Table 6). Comparing the results with the results of the other survey, a significantly smaller percentage of local governments used either mechanical or chemical methods or more than one method than the two other organisations combined based on the chi
2 test (
p < 0.05) conducted on the subsamples where
A. altissima was present. To be able to run the test combining the datasets of NPDs and SFUs was necessary due to the low number of NPDs where the species was present. As previously shown, results of the NPDs and SFU did not differ significantly, which was the other reason for merging the datasets for this analysis. The use of biological methods and control after eradication was not asked in the other survey focusing on local governments.
Table 7 shows some indicators related to the eradication of the species, comparing the responses of NPDs and SFUs using the Mann–Whitney U test. For the comparisons, medians were used instead of means because the variables were not characterised by normal distribution. The middle values of the estimated areas, where
A. altissima was eradicated were less than 30 hectares regarding both respondent groups. The ratio of permanently eradicated area varied within the groups, and medians also show a higher rate for NPDs (65%) compared to SFUs (30%), but the difference was not significant based on the Mann–Whitney U test. The cost of eradication and the yearly follow up control per hectare also showed a wide range within groups within the respondent groups. Using the medians, there was no significant difference between the groups based on the Mann–Whitney U test. Some factors were named that influence the costs of eradication: size of the affected area, environmental circumstances, the spread of the species, the number of trees and the age of the trees or stands, density of trees, seed base in the soil, weather conditions, the distance of the stands from the site, the applied methods, the human input needed, the amount and type of chemicals used, if it is the first time or a post eradication control measure, the success of the previous eradication. The NPDs used less internal funding than the SFUs for the eradication (median for NPDs: 5%; SFUs: 100%), and the difference was significant based on the Mann–Whitney U test (
p < 0.05). External sources included mostly using funds co-financed by the European Union (e.g., LIFE, European Regional Development Fund). The lower response rate regarding these questions compared to other questions might indicate the difficulties of such estimations (
Table 7). The majority of the respondents in both groups who had
A. altissima present in their territory (NPD: 100%, SFU: 90%) indicated the need for further eradication of the species in their area, and there were no significant differences between the two groups based on Fisher’s exact test (
p = 1.00). More than half of the respondents of both groups (NPD: 87%, SFU: 54%) indicated that they need external resources as well to continue the eradication, and there was no significant difference between the two groups based on Fisher’s exact test (
p = 0.134).
The presence of
A. altissima in the territory of different stakeholder groups caused a problem to a variable degree for our two respondent groups. We measured the extent of the problem on a Likert scale (0–5: 0, not a problem at al;, 5: a major problem). The medians of the answers show that for NPDs, the presence of the species on the territory of private and state forestry companies seemed to cause the largest problem, while for SFUs, the species present on the territory of the public road management companies was the most problematic. Based on the Mann–Whitney U test, only the problem regarding the state forestry companies showed a significant difference (
p < 0.05) between the two respondent groups (municipalities:
p = 0.603, national park directorates:
p = 0.550, state forestry companies:
p = 0.001, private forestry companies:
p = 0.183, public road management companies:
p = 0.955, residents:
p = 0.835). The analysis was carried out among the organisations that indicated the presence of the species on their territory (
Figure 1).
NPDs and SFUs in the territory in which
A. altissima was present, were most satisfied with their own groups regarding the control of
A. altissima and, to a lesser degree, with other groups. Fisher’s exact test showed a significant difference between the two groups (
p < 0.05) only regarding the state forestry companies, namely a much larger percent of SFUs thought that this group managed the species properly (NPDs: 33%, SFUs: 4%) (
Table 8). We need to note that the response rate was not so high, which indicates that it was probably difficult for our respondent groups to estimate the effectiveness of the other stakeholder groups’ activities.
NPDs and SFUs cooperated with the members of their own groups and with each other the most and to a lesser degree with other groups. Fisher’s exact test showed no significant difference between the two groups regarding none of the stakeholder groups (
Table 9).
All five factors (national strategy, financial resources, human capacity, cooperation with other groups, expanding the knowledge base) related to the eradication of
A. altissima were ranked high by both response groups (median of 3.5–5 on a Likert scale of 0 (not important) to 5 f (very important)) (
Figure 2). There was no significant difference between the two groups based on the Mann–Whitney U test (national strategy:
p = 0.507, financial resources:
p = 0.935, human capacity:
p = 0.403, cooperation with other groups:
p = 0.404, expanding knowledge:
p = 0.381).