| Literature DB >> 31415626 |
Simon Tollington1,2, Zainal Kareemun3, Arlaine Augustin3, Kunal Lallchand3, Vikash Tatayah3, Alexandra Zimmermann1,4.
Abstract
The Mauritius fruit bat (Pteropus niger) has been the subject of repeated culling campaigns, apparently in response to pressure from the fruit-growing industry concerned over damage to commercially valuable orchard crops such as lychees. More than 31,000 fruit-bearing lychee trees also exist in private backyards, making this an issue pertinent to a wide cross-section of the Mauritian general public and not just those involved in commercial fruit production. The level of damage caused by bats to fruit crops is often debated and the low number of robust damage assessment studies hampers mitigation efforts. During the fruiting season of 2016/2017, we assessed the damage among backyard lychee trees attributable to fruit bats and other causes around Vacoas-Phoenix, Central Mauritius and evaluated the impact of using protective netting as a mitigation strategy. Fruit yield from panicles that were protected from depredation by nylon netting was approximately one third greater than that from unprotected panicles. We suspect that fruit bats were responsible for approximately 42% of the total damage but illustrate the difficulties in attributing damage to a single cause in such assessments. Although we demonstrate the value of protective netting, we recognize that barriers to implementation exist and that a more holistic approach that incorporates crop protection, forest restoration strategies and addresses negative public attitudes towards bats in general is required to ensure the persistence of this endemic species.Entities:
Mesh:
Year: 2019 PMID: 31415626 PMCID: PMC6695134 DOI: 10.1371/journal.pone.0220955
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Image of the nylon netted bags used to protect lychee panicles.
Fig 2Images of lychee damage and classification.
Natural split (a, b), unknown (c), bird damage (d, e and f), and bat damage (g, h and i).
Output of a GLMM to identify predictors of fruit counts from panicles with 95% confidence intervals.
Two fixed covariates of ‘Netted’ (True or False) and ‘Period’ (Initial or Final) were included. On average, significantly fewer fruits were counted on panicles at the end of the experiment, but panicles with nets suffered significantly reduced fruit loss compared to those without nets.
| Estimate | SE | df | t value | lower | upper | |
|---|---|---|---|---|---|---|
| (Intercept) | 29.41 | 2.47 | 29.51 | 11.89 | 24.50 | 34.29 |
| NettedTRUE | 3.76 | 1.93 | 290.51 | 1.95 | -0.02 | 7.53 |
| PeriodFINAL | -10.95 | 1.88 | 290.34 | -5.82 | -14.63 | -7.27 |
| NettedTRUE:PeriodFIINAL | 9.44 | 2.73 | 290.34 | 3.46 | 4.11 | 14.77 |
Marginal R2 = 0.13, Conditional R2 = 0.43
Model fitted values and 95% confidence intervals revealing average number of fruit per panicle according to the netting treatment between initial and final counts and proportional loss of fruit.
| Netted | Period | Count | SE | lower | upper | % loss |
|---|---|---|---|---|---|---|
| FALSE | initial | 29.41 | 2.47 | 24.55 | 34.28 | |
| FALSE | final | 18.46 | 2.47 | 13.60 | 23.33 | 37.23 |
| TRUE | initial | 33.17 | 2.51 | 28.23 | 38.10 | |
| TRUE | final | 31.65 | 2.51 | 26.72 | 36.59 | 4.56 |
GLM output characterising the cause of damage to fallen fruits.
Upper and lower confidence intervals around the estimates do not cross zero revealing that damage attributable to bats is significantly higher than all other causes.
| Estimate | SE | t value | lower | upper | |
|---|---|---|---|---|---|
| (Intercept) CauseBat | -0.30 | 0.17 | -1.77 | -0.64 | 0.03 |
| CauseBird | -1.58 | 0.30 | -5.19 | -2.20 | -1.00 |
| CauseNone | -0.87 | 0.26 | -3.31 | -1.40 | -0.36 |
| CauseSplit | -2.45 | 0.40 | -6.17 | -3.29 | -1.72 |
| CauseUnknown | -1.46 | 0.30 | -4.93 | -2.05 | -0.89 |
Marginal R2 = 0.45
Fig 3Causes of damage to dropped fruit.
Average proportional damage (and 95% confidence intervals) to dropped fruit collected from underneath trees attributed to different causes.