| Literature DB >> 32929173 |
Joana Bernardino1,2, Regina Bispo3, Ricardo C Martins4,5, Sara Santos6, Francisco Moreira4,5.
Abstract
Linear infrastructures, such as power lines and roads, are an important source of bird mortality. However, little is known on the potential effect of these infrastructures on local scavenger guilds, their foraging activity and the resulting bird carcass removal patterns. This is an important source of bias in studies aiming to quantify bird fatalities due to linear infrastructures. We used camera-traps to record scavenger identity and persistence patterns of bird carcasses placed close to linear infrastructure and nearby controls in two Mediterranean agricultural regions. We found that linear infrastructure influence on scavenger identity varied depending on the region. Contrary to expectations, linear infrastructure presence had either none or a positive effect on carcass persistence, meaning that carcasses placed within power line or road rights-of-way were not removed faster than the ones placed in controls. We conclude that linear infrastructure effect on vertebrate scavenging patterns is likely to be region-specific, and that reliable correction factors for carcass removal-bias in bird fatality estimates require site-specific experiments to characterize local scavenging processes.Entities:
Year: 2020 PMID: 32929173 PMCID: PMC7490418 DOI: 10.1038/s41598-020-72059-7
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379
Figure 1Sampling locations of carcass persistence experiments conducted in V. F. Xira and Évora regions, during the winter periods of 2017 and 2018, respectively. Sampling locations separated less than 200 m apart were never used simultaneously.
Number (and percentage) of independent scavenging events detected by vertebrate species for each treatment during the carcass persistence experiments conducted in V. F. Xira and Évora regions (winter periods of 2017 and 2018, respectively).
| Scavenger group/species | V. F. Xira | Évora | Total | |||
|---|---|---|---|---|---|---|
| CO | PL | CO | PL | RO | ||
| 3 (6%) | 2 (4%) | – | 1 (2%) | 1 (2%) | 7 (2.7%) | |
| 16 (32%) | 2 (4%) | – | – | – | 18 (7.0%) | |
| 1 (2%) | – | – | – | – | 1 (0.4%) | |
| 1 (2%) | – | – | – | – | 1 (0.4%) | |
| – | – | 2 (4%) | – | 1 (2%) | 3 (1.2%) | |
| – | – | 1 (2%) | 1 (2%) | 2 (0.8%) | ||
| 3 (6%) | 11 (22%) | 2 (4%) | 1 (2%) | 1 (2%) | 18 (7.0%) | |
| – | – | 3 (6%) | 4 (8%) | 2 (4%) | 9 (3.5%) | |
| – | – | 3 (6%) | 5 (10%) | 1 (2%) | 9 (3.5%) | |
| – | 2 (4%) | – | 5 (10%) | – | 7 (2.7%) | |
| – | 6 (12%) | – | 4 (8%) | 10 (3.9%) | ||
| 9 (18%) | 25 (51%) | 25 (48%) | 11 (21%) | 14 (26%) | 84 (32.8%) | |
| – | – | – | 1 (2%) | – | 1 (0.4%) | |
| 1 (2%) | – | – | – | 8 (15%) | 9 (3.5%) | |
| Total | 50 (100%) | 49 (100%) | 52 (100%) | 52 (100%) | 53 (100%) | 256 (100%) |
Treatment: CO control, PL power line, RO road.
Figure 2Linear infrastructure effect on (A) the proportion of scavenging events carried out by each scavenger group and (B) the carcass persistence probability, in V. F. Xira and Évora regions. Treatment: CO control, PL power line, RO road.
Parameters and bootstrap results of best accelerated failure time models to predict (A) carcass persistence as function of power line or road treatment in V. F. Xira and Évora regions (models A1 and A2, respectively), and (B) carcass detection and carcass persistence as function of scavenger group (model B1 and B2, respectively).
| Model | Response variable | Explanatory variable | Coefficient | p-value | |||
|---|---|---|---|---|---|---|---|
| Original | Bootstrap | Original | Bootstrap | Signif | |||
| (A1) | Carcass persistence | ||||||
| 0.33 | 0.31 [− 0.04 to 0.79] | ||||||
| Power line | 1.07 | 1.08 [0.41 to 1.67] | < 0.001 | < 0.001 [< 0.001 to 0.31] | *** | ||
| (A2) | Carcass persistence | ||||||
| 1.07 | 1.07 [0.78 to 1.47] | ||||||
| Power line | 0.04 | 0.05 [− 0.42 to 0.44] | 0.853 | 0.507 [0.527 to 0.999] | |||
| Road | 0.72 | 0.72 [0.14 to 1.28] | 0.004 | 0.003 [< 0.001 to 0.634] | ** | ||
| (B1) | Carcass detection | ||||||
| 0.49 | 0.51 [0.13 to 0.88] | ||||||
| Corvids | 0.35 | 0.24 [− 0.17 to 1.26] | 0.213 | 0.298 [< 0.001 to 0.884] | |||
| Carnivores | 0.75 | 0.71 [− 0.33 to 1.19] | < 0.001 | 0.002 [< 0.001 to 0.158] | *** | ||
| Domestic animals | 1.01 | 0.92 [0.16 to 2.05] | 0.011 | 0.028 [< 0.001 to 0.518] | ** | ||
| (B2) | Carcass persistence | ||||||
| 1.37 | 1.38 [0.81 to 1.94] | ||||||
| Corvids | 0.04 | 0.02 [− 0.71 to 0.80] | 0.889 | 0.439 [0.705 to 0.999] | |||
| Carnivores | 0.05 | 0.04 [− 0.53 to 0.67] | 0.847 | 0.479 [0.527 to 0.998] | |||
| Domestic animals | 1.25 | 1.24 [0.27 to 2.70] | 0.014 | 0.019 [< 0.001 to 0.719] | * | ||
Best Accelerated Failure Time (AFT) models selected based on the lowest Akaike Information Criteria (AIC) statistic (see Supplementary material). In AFT models, the coefficients are logarithms of ratios of survival times, so higher (positive) coefficients mean longer times to carcass detection or overall persistence. Reference levels: ‘Control’ for models (A); ‘Raptors’ for models (B). Significance levels: *p < 0.05, **p < 0.01, and ***p < 0.001.
Figure 3Scavenger identity effect on (A) the mean (± standard error) carcass detection and persistence time, and (B) proportion of cases with presence vs. absence of detectable carcass remains after the first scavenging event. Whiskers topped by different letters indicate significant differences (p < 0.05) between scavenger groups in carcass detection (black letters) and carcass persistence (grey letters). Number of scavenging events for each scavenger group is contained in parentheses.