| Literature DB >> 31934511 |
E M B P Ekanayake1,2, Yi Xie1, Abubakar Sadiq Ibrahim3, N T P Karunaratne2, Shahzad Ahmad1.
Abstract
Invasive alien plants (IAPs) are a significant cause of socio-ecological change in Sri Lanka. Many studies have focused on the ecological dimensions of this problem, but few have addressed sociological factors such as the knowledge and perceptions of individuals and groups tasked with addressing IAPs. This study investigates how IAP issues are understood and perceived by professional forest and wildlife officers in Sri Lanka. The data analyzed were gathered using a questionnaire that covered three themes: the respondents' ability to identify IAPs, the impacts of IAPs and the threats they pose, and knowledge regarding control and mitigation. The questionnaire was completed by 186 field officers, and the resulting descriptive statistics and a probit regression analysis were used to analyze the data. The results show that almost all of the participating forest and wildlife officers were aware of the problems associated with IAPs but more than 75% of them lacked an accurate understanding of scientific means for controlling them and control policies established by the government of Sri Lanka. Generally, wildlife officers had a better understanding than forest officers. In addition, the analysis shows that officers' knowledge and perceptions of IAPs were positively correlated with their level of education and position within the organization. The analysis points to several recommendations for Sri Lankan officials when designing and implementing comprehensive policies and professional programs, particularly for lower-level field officers.Entities:
Keywords: Biological invasions; Conservation officer; Knowledge; Perception
Year: 2020 PMID: 31934511 PMCID: PMC6951289 DOI: 10.7717/peerj.8343
Source DB: PubMed Journal: PeerJ ISSN: 2167-8359 Impact factor: 2.984
Figure 1A conceptual framework of individuals’ knowledge and perceptions of IAPs.
Socio-demographic characteristics of the DFC and DWC participants (Ekanayake & Murindahabi, 2017).
| Organization | Type of area controlled | Size of area controlled | Types of employees in | Roles of employees |
|---|---|---|---|---|
| Department of Forest Conservation | Conservation forest, | 12,708 km2 | Range Forest Officers | Establishing and managing forest plantations. |
| Department Wildlife Conservation | National parks, | 8,500 km2 | Wildlife Rangers | Daily monitoring of wildlife resources. |
Responses to question regarding the knowledge on definition and terminology of IAPs.
| Questions | Response | Variable |
|---|---|---|
| Yes/No | ||
| Yes/No | ||
| Yes/No | ||
| Yes/No | ||
| Yes/No | ||
| Yes/No | ||
| Yes/No |
Socio-demographic characteristics of the DFC and DWC participants.
| Characteristic variable | Variable description | Percentage in DFC | Percentage in DWC | Percentage in total |
|---|---|---|---|---|
| Age | Respondent age (Mean value) | 41 | 35 | 39 |
| Sex | 0 = female | 22% | 13% | 19% |
| 1 = male | 78% | 87% | 81% | |
| Education | 0 = school education ≤13 years | 85% | 78% | 83% |
| 1 = school education >13 years | 15% | 22% | 17% | |
| Position | 0 = lower ranks | 73% | 77% | 74% |
| 1 = supervising officer | 27% | 23% | 26% | |
| Occupation | 0 = wildlife officer | 0% | 100% | 34% |
| 1 = forest officer | 100% | 0% | 66% | |
| Work location | 1 = wet zone | 35% | 19% | 30% |
| 2 = intermediate zone | 44% | 27% | 38% | |
| 3 = dry zone | 21% | 55% | 32% |
Responses to questions regarding knowledge of definition and terminology of IAPs.
| Question | Percentage in DFC | Percentage in DWC | ||
|---|---|---|---|---|
| Yes | No | Yes | No | |
| 1. Knowledge of CBD’s definition of IAPs | 33% | 67% | 80% | 20% |
| 2. Knowledge of characteristics that identify at least one IAP of the twenty in the national IAP list | 98% | 2% | 91% | 9% |
| 3. Knowledge of scientific names of IAP species | 23% | 77% | 36% | 64% |
| 4. Knowledge on geographical origin of IAP species | 10% | 90% | 20% | 80% |
Responses to statements regarding the relevance of ten pathways by which IAPs spread.
| Statement | Percentage in DFC | Percentage in DWC | ||
|---|---|---|---|---|
| Yes | Otherwise | Yes | Otherwise | |
| 1. Introduced for forestry as plantation crop | 64% | 36% | 47% | 53% |
| 2. Introduced for agriculture or animal husbandry as food or fodder crop | 76% | 24% | 87% | 13% |
| 3. Introduced for soil improvement | 73% | 27% | 92% | 8% |
| 4. Introduced for ornamental purposes | 100% | 0% | 100% | 0% |
| 5. Accidental introductions as contaminants of agriculture production (seeds) | 20% | 80% | 81% | 19% |
| 6. Accidental introduction with timber trade | 9% | 91% | 22% | 78% |
| 7. Accidental introduction with imports of used machinery, equipment and vehicles | 11% | 89% | 16% | 84% |
| 8. Accidental introduction with imports of packaging materials and cargo | 3% | 97% | 22% | 78% |
| 9. Accidental introduction with tourist industry | 3% | 97% | 13 | 87% |
| 10. Spreading via air currents | 23% | 77% | 19% | 81% |
Participants’ knowledge and perceptions of the severity of negative impacts of IAPs.
| Statement | DFC | DWC | ||
|---|---|---|---|---|
| Ranking | Percent of respondents | Ranking | Percent of respondents | |
| 1. Reduce the productivity of lands | 2 | 31 | 4 | 27 |
| 2. Reduce biodiversity | 4 | 30 | 2 | 34 |
| 3. Lead to extinction of native species | 5 | 57 | 5 | 55 |
| 4. Affect the structure and composition of ecosystems | 1 | 57 | 3 | 47 |
| 5. Affect the wildlife habitat | 3 | 29 | 1 | 50 |
| 6. Are harmful to human life | 7 | 96 | 7 | 98 |
| 7. Lead to economic losses | 6 | 87 | 6 | 64 |
Results of factors affecting knowledge and perceptions of the respondents.
Numbers in parentheses are standard errors.
| Define | Scientific | Origin | Skills | Strategies | Policy | Satisfy | |
|---|---|---|---|---|---|---|---|
| Age | 0.00 | −0.01 | −0.00 | −0.00 | −0.00 | −0.02 | 0.00 |
| Gender | 0.32 | −0.16 | 0.01 | 0.24 | −0.26 | 1.89 | 0.04 |
| Education | −0.37 | 0.75 | 0.55 | −0.38 | 0.37 | 1.78 | −0.47 |
| Position | 1.43 | 1.64 | 2.32 | 1.02 | 0.76 | 3.00 | −0.91 |
| Working location | −0.06 | −0.04 | 0.05 | 0.12 | 0.10 | −0.11 | −0.06 |
| Occupation | −1.77 | −0.52 | −0.92 | −0.22 | −0.00 | −1.95 | 1.00 |
| Constant | 0.51 | −0.36 | −1.7 | 0.02 | −1.09 | −3.02 | −1.33 |
| Model features | |||||||
| LR chi2 | 82.46 | 67.09 | 74.42 | 20.81 | 15.96 | 94.20 | 32.75 |
| Prob > chi2 | 0.0000 | 0.0000 | 0.0000 | 0.0020 | 0.014 | 0.0000 | 0.0000 |
| Pseudo R2 | 0.322 | 0.3070 | 0.4722 | 0.0869 | 0.0873 | 0.6259 | 0.1574 |
| VIF | 1.31 | 1.29 | 1.33 | 1.17 | 1.16 | 1.37 | 1.18 |
| Number of observations | 186 | 186 | 186 | 186 | 186 | 186 | 186 |
Notes:
Statistically significant at P < 0.10.
Statistically significant at P < 0.05.
Statistically significant at P < 0.01.