| Literature DB >> 34209053 |
Vesna Oražem1, Tadeja Smolej1, Iztok Tomažič1.
Abstract
The expansion of large carnivores across Europe is posing a challenge to their conservation. Since success with conservation may depend significantly on human behavior, knowledge of certain behaviors' emergence and all the factors that affect them are crucial. The present study included 534 students who were divided into a comparison group (n = 317) and a treatment group (n = 217) consisting of 309 lower secondary (LS, MAge = 12.2, SD = 0.94) and 225 upper secondary (US, n = 225, MAge = 16.5, SD = 0.99) school students. We assessed their attitudes to and knowledge of brown bears. An indirect effect of the workshops (instructions) is also described. Sociodemographic factors, such as gender and seeing a bear in nature, significantly influenced the students' attitudes and knowledge. Residence, owning a dog, having a hunter in the family, breeding livestock and visiting a zoo had a smaller effect on the students' attitudes and knowledge. The results thus show that greater knowledge is correlated with proconservation attitudes, and partly with reduction of fear. Therefore, future conservation and management should employ strong communication, especially education activities based on direct experiences and carefully designed information regarding species and socio-scientific issues.Entities:
Keywords: attitudes; brown bear (Ursus arctos); conservation; knowledge; workshops
Year: 2021 PMID: 34209053 PMCID: PMC8300100 DOI: 10.3390/ani11071958
Source DB: PubMed Journal: Animals (Basel) ISSN: 2076-2615 Impact factor: 2.752
Figure 1Study design.
Principal component analysis with an oblimin rotation of items to the individual attitudinal dimension.
| Item | Component (PC) | ||
|---|---|---|---|
| I | II | III | |
|
| |||
| Bears should be killed (exterminated). S_26_R * | 0.743 | ||
| It would bother me if all the bears were culled in Slovenia. S_22 | 0.701 | ||
| In my opinion, there are too many bears in Slovenia. S_20_R * | 0.677 | ||
| It is important to preserve brown bear species for future generations in Slovenia. S_10 | 0.662 | ||
| It is not necessary for the bears to be protected in Slovenia, as enough of them live elsewhere in Europe. S_06_R * | 0.660 | ||
| Bears have the right to live and use forests, just like humans do. S_03 | 0.573 | ||
|
| |||
| I would like to learn about bears. S_09 | −0.854 | ||
| I would also like to learn about species of bears that do not live in Slovenia. S_05 | −0.809 | ||
| I want to know how bears feed, predate, and hibernate. S_21 | −0.749 | ||
| I like to watch popular science shows about bears. S_01 | −0.736 | ||
| I would like to learn about the damage caused by bears and conflicts with humans. S_15 | −0.626 | ||
|
| |||
| I would be scared to walk in the woods if I knew bears were living there. S_23_R * | 0.800 | ||
| I am afraid of bears. S_04_R * | 0.789 | ||
| I would accept the presence of bears in the forests in my area without any problems. S_11 | 0.659 | ||
| I would rather watch a movie about bears than see a living animal in the wild. S_27_R * | 0.599 | ||
| Kaiser-Meyer-Olkin (KMO) | 0.826 | ||
| Bartlett’s test of sphericity | |||
| Cronbach’s alpha | 0.77 | 0.82 | 0.70 |
| Eigenvalues | 3.894 | 2.326 | 1.757 |
| Explained variance (%) | 25.96 | 15.50 | 11.72 |
* Reversed items. Principal component loadings over 0.40 are presented. Extraction Method: Principal Component Analysis. Rotation Method: Oblimin with Kaiser Normalization.
GLM analysis of independent variables’ effect on the students’ attitude ratings.
| Effect | Wilks’ L | F | Hypothesis df | Error df |
| Partial Eta Squared |
|---|---|---|---|---|---|---|
| Intercept | 0.360 | 297.517 | 3 | 501 | <0.001 | 0.640 |
| Knowledge | 0.868 | 25.496 | 3 | 501 | <0.001 | 0.132 |
| Upper/lower secondary | 0.968 | 5.584 | 3 | 501 | 0.001 | 0.032 |
| Gender | 0.928 | 12.953 | 3 | 501 | <0.001 | 0.072 |
| Place of residence | 0.981 | 1.572 | 6 | 1002 | 0.152 | 0.009 |
| Seen in nature | 0.955 | 7.906 | 3 | 501 | <0.001 | 0.045 |
Figure 2Differential effect of sociodemographic factors on the students’ attitudes and knowledge at the pretest: (a) Education level (lower or upper secondary school); (b) gender; (c) owning a dog; (d) place of residence; (e) seen a bear in nature; (f) visiting a zoo; (g) hunter in the family; (h) breeding livestock. Note: lower mean values on fear dimension mean more fear (lower acceptance). Note: * p < 0.05, ** p < 0.01, *** p < 0.001.
Figure 3Differential effect of sociodemographic factors on the students’ attitudes and knowledge at the post-test: (a) education level (lower or upper secondary school); (b) gender; (c) owning a dog; (d) place of residence; (e) seen a bear in nature; (f) visiting a zoo; (g) hunter in the family; (h) breeding livestock. Note: lower mean values on fear dimension means more fear (lower acceptance). Note: * p < 0.05, ** p < 0.01.
Figure 4Effect of the instruction on the students’ attitudes to and knowledge of bears. Note: lower mean values on fear dimension means more fear (lower acceptance). Note: *** p < 0.001.
Figure 5The effect of knowledge on different attitudinal dimensions: (a) the comparison group; (b) the treatment group; Note: lower mean values on fear dimension mean more fear (lower acceptance). Note: * p < 0.05, ** p < 0.01, *** p < 0.001.
Correlations between attitudinal dimensions and knowledge scores of the comparison group.
| Interest to Learn | Fear-Acceptance *** | Knowledge | |||
|---|---|---|---|---|---|
|
| Conservation | Correlation coefficient | 0.322 ** | 0.331 ** | 0.311 ** |
| Sig. (2-tailed) | <0.001 | <0.001 | <0.001 | ||
|
| 317 | 317 | 317 | ||
| Interest to learn | Correlation coefficient | 0.098 | 0.139 * | ||
| Sig. (2-tailed) | 0.081 | 0.013 | |||
|
| 317 | 317 | |||
| Fear-acceptance | Correlation coefficient | 0.398 ** | |||
| Sig. (2-tailed) | <0.001 | ||||
|
| 317 | ||||
*** Correlations between fear-acceptance and other dimensions are positive due to reversed items. ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed).
Correlations between attitudinal dimensions and knowledge scores of the treatment group.
| Interest to Learn | Fear-Acceptance *** | Knowledge | |||
|---|---|---|---|---|---|
|
| Conservation | Correlation coefficient | 0.289 ** | 0.323 ** | 0.316 ** |
| Sig. (2-tailed) | <0.001 | <0.001 | <0.001 | ||
|
| 217 | 217 | 217 | ||
| Interest to learn | Correlation coefficient | 0.136 * | 0.233 ** | ||
| Sig. (2-tailed) | 0.045 | 0.001 | |||
|
| 217 | 217 | |||
| Fear-acceptance *** | Correlation coefficient | 0.202 ** | |||
| Sig. (2-tailed) | <0.001 | ||||
|
| 217 | ||||
*** Correlations between fear-acceptance and other dimensions are positive due to reversed items. ** Correlation is significant at the 0.01 level (2-tailed). * Correlation is significant at the 0.05 level (2-tailed).