| Literature DB >> 28680192 |
Sheema Abdul Aziz1,2,3,4, Gopalasamy Reuben Clements1,5, Xingli Giam6,7, Pierre-Michel Forget2, Ahimsa Campos-Arceiz3.
Abstract
As tropical landscapes become increasingly human-dominated, conflicts between people and wildlife threaten ecological processes. Old World fruit bats such as flying foxes are especially susceptible to extinction risk because there is low interest in their conservation, particularly when they are considered pests. In order to arrest fruit bat declines, there is an urgent need to understand human-bat conflict and its implications. On a tropical island in Peninsular Malaysia, we conducted a questionnaire survey to investigate coexistence between people and the island flying fox (Pteropus hypomelanus). Among 119 respondents, knowledge of ecosystem services provided by flying foxes was extremely low. Most respondents held negative attitudes towards the bats, and older male locals were more likely to support killing them. This was also true for older owners of fruit trees who derived income from selling fruit, and experienced flying fox raids. Our results can be used to design appropriate interventions to support conservation efforts, and has important implications for managing conflicts between humans and synanthropic wildlife.Entities:
Keywords: Conservation; Fruit bat; Human-wildlife conflict; Local communities; Peninsular Malaysia; Pteropodidae; Tioman Island
Year: 2017 PMID: 28680192 PMCID: PMC5487769 DOI: 10.1007/s10745-017-9905-6
Source DB: PubMed Journal: Hum Ecol Interdiscip J ISSN: 0300-7839
Fig. 1a Tioman Island; (b) Pteropus hypomelanus; (c) Flying fox roosts in Tekek (left) and Juara (right); (d) Fires used to smoke out flying foxes from roosts in Juara
Fig. 2Knowledge of flying foxes amongst 119 respondents in Juara, Tioman
Fig. 3Perceptions of flying foxes amongst 119 respondents in Juara, Tioman
Fig. 4Attitudes of 119 respondents in Juara, Tioman towards flying foxes
The top three generalised linear mixed-effect models (GLMM) that relate attitudes [KIL] of: (A) the entire Juara community to socio-demographic predictors (age [AGE], gender [GEN], local to Juara village [LOC], having possession of education [EDU], possession of income [INC], ownership of fruit trees [FRU]; and (B) fruit tree owners to important socio-demographic predictors (identified from Part A but excluding [LOC] since they are all local) and two additional covariates (having experience with fruit raiding [RAI] and selling their fruit [SEL]). Enumerators [ENU] were coded as a random effect
| Model |
| LL | AIC | dAIC |
|
|
|---|---|---|---|---|---|---|
| (A) | ||||||
| KIL ~ AGE + GEN + LOC+(1| | 5 | -61.24 | 133.00 | 0.00 | 0.17 | 0.31 |
| KIL ~ AGE + LOC+(1| | 4 | -62.74 | 133.80 | 0.82 | 0.11 | 0.27 |
| KIL ~ AGE + INC + LOC+(1| | 5 | -62.07 | 134.70 | 1.62 | 0.07 | 0.29 |
| (B) | ||||||
| KIL ~ AGE + RAI + SEL+(1| | 5 | -39.14 | 89.10 | 0.00 | 0.18 | 0.38 |
| KIL ~ AGE + GEN + RAI+(1| | 5 | -39.22 | 89.3 | 0.15 | 0.16 | 0.37 |
| KIL ~ AGE + RAI+(1| | 4 | -40.40 | 89.40 | 0.24 | 0.16 | 0.34 |
Term abbreviations are defined as follows: k = number of parameters, LL = maximum log-likelihood, dAIC = difference in AIC for each model from the most parsimonious model, wAIC = AICc weight, and R = marginal R2 according to Nakagawa and Schielzeth 2013