| Literature DB >> 29718940 |
Helena Tauler-Ametller1,2, Antonio Hernández-Matías1,2,3, Francesc Parés1,2, Joan Ll Pretus1, Joan Real1,2.
Abstract
Human activities cause changes to occur in the environment that affect resource availability for wildlife. The increase in theEntities:
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Year: 2018 PMID: 29718940 PMCID: PMC5931503 DOI: 10.1371/journal.pone.0196044
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Fig 1Distribution of breeding pairs (yellow circles) and landfills (green symbols) located inside our study area and considered for diet analysis.
Grey gradient represent altitudes from 0 m (white) to 3000 m (black). Two important cities are also represented.
Isotopic values of each source of food considered in the Bayesian isotopic mixing models.
| Source | δ 13C | SD δ 13C | δ 15N | SD δ 15N | Tissue | Area | Reference |
|---|---|---|---|---|---|---|---|
| Landfills | -21.67 | 1.44 | 5.5 | 1.74 | Muscle | Catalonia | [ |
| Livestock | -25.68 | 0.19 | 6.07 | 0.40 | Muscle | Ireland and Italy | [ |
| Wild herbivores | -24.22 | 1.17 | 2.54 | 1.63 | Muscle | Germany and Catalonia | [ |
| Carnivores | -24.60 | 0.70 | 9.00 | 2.30 | Muscle | Germany | [ |
| Birds | -23.67 | 0.57 | 6.40 | 1.07 | Muscle | Catalonia | [ |
For each source, it is indicated the mean of δ 13C and δ 15N and the standard deviation. The type of tissue sampled, the area and bibliographic reference of the study of data collection are also specified.
Design and results of the four Generalized Linear Mixed Models performed to relate δ 13C (response variables) with food availability and the level of humanization (explanatory variables).
| Model | Response variable | Explanatory variables | Estimate | SE | AICc | AICc null | P Value |
|---|---|---|---|---|---|---|---|
| δ 13C | Landfill proximity | -6.31E-05 | 3.57E-05 | 104.31 | 104.60 | 0.0928 | |
| δ 13C | Extensive livestock | -4.45E-05 | 7.10E-05 | 106.74 | 104.60 | 0.5336 | |
| δ 13C | Urban areas | 0.25 | 0.06 | 96.10 | 104.60 | 0.0009 | |
| δ 13C | Rural areas | -0.06 | 0.01 | 93.13 | 104.60 | 0.0002 |
There are indicated parameter estimates and standard errors (SE), AICc of each model, AICc of null model and also P Value obtained with the ANOVA performed between null and full model.
Fig 2Proportion of diet of Egyptian Vulture represented by main prey categories obtained by stable isotope analysis and conventional identification of food remains.
Medians, quartiles and outliers of each prey category are represented in the boxplot.
Fig 3Isotopic values (δ 13C and δ 15N) of Egyptian Vulture nestlings in Catalonia (n = 60) and main sources of food (mean ± SD).
Same symbols correspond to the isotopic values of nestlings from the same territory but different years.
Fig 4Percentage of the contribution of landfills in the diet of Egyptian Vulture nestlings estimated with Bayesian mixing models (SIMMR).
Data of each territorial pair but different year is represented with the same number. Boxes represent the credible interval of 50% and error bars the credible interval of 95% obtained with SIMMR.
Fig 5Results of comparison of conventional methods and isotope analysis for the diet of Egyptian Vulture in Catalonia during the period 2012–2014.
(a) Probability of difference below 0 between stable isotope analysis and conventional analysis for main prey of Egyptian Vulture. (b) Mean differences between stable isotope analysis and conventional methods in estimates of the main prey of Egyptian Vulture. Standard errors of the differences are represented.