| Literature DB >> 22768146 |
Philippe Chouteau1, Zhigang Jiang, Benjamin D Bravery, Jing Cai, Zhongqiu Li, Miguel Pedrono, Olivier Pays.
Abstract
Recent growth in industrialization and the modernization of agricultural activities, combined with human population growth, has greatly modified China's natural environment, particularly in the vicinity of large cities. We compared avifauna checklists made between 1877 and 1938 with current checklists to determine the extent of local bird extinctions during the last century in the greater Beijing area. Our study shows that of the 411 bird species recorded from 1877-1938, 45 (10.9%) were no longer recorded from 2004-2006. Birds recorded as 'rare' in 1938 were more likely to have disappeared in subsequent years. Migrant status also influenced the probability of local bird extinction with winter migrants being the most affected class. Moreover, larger birds were more likely to have disappeared than smaller ones, potentially explained by differential ecological requirements and anthropogenic exploitation. Although our habitat descriptions and diet classification were not predictors of local bird extinction, the ecological processes driving local bird extinction are discussed in the light of historical changes that have impacted this region since the end of the 1930 s. Our results are of importance to the broader conservation of bird wildlife.Entities:
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Year: 2012 PMID: 22768146 PMCID: PMC3387231 DOI: 10.1371/journal.pone.0039859
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Map of the Greater Beijing Area.
The Greater Beijing Area includes the Beijing and Tianjin Municipalities and Hebei Province. Grey spots indicate observation sites during the period 2004−2006.
Akaike’s criterion (AIC) and the corrected criterion (AICc) for each candidate model explaining the variation in probability of local apparent extinction of birds in China using GLMM Laplace procedure (Link = Logit, Binomial) including log-transformed body size as a continuous, diet (carnivore, frugivore, granivore, herbivore, insectivore, insectivore-frugivore, granivore-insectivore, omnivore), habitat (bank, farmland, forest, marsh, open area, scrub, water, woodland), and migrant status (migrant, resident, summer visitor, winter visitor) as categorical factors, abundance (common, rare, undetermined) (with italicized class used as reference), and Genus within Family within Order as three nested random factors.
| ID Model | Model description | LogLik | K | AIC | AICc | ΔAICc | Wi |
| Null model | −138.04 | 4 | 282.10 | 282.20 | 51.45 | 0.00 | |
| 1 | Log(Body size) | −133.81 | 5 | 275.60 | 275.75 | 45.00 | 0.00 |
| 2 | Diet | −136.54 | 11 | 293.10 | 293.76 | 63.01 | 0.00 |
| 3 | Habitat | −133.58 | 12 | 289.20 | 289.98 | 59.23 | 0.00 |
| 4 | Migrant Status | −131.30 | 7 | 274.60 | 274.88 | 44.13 | 0.00 |
| 5 | Abundance | −116.10 | 6 | 242.20 | 242.41 | 11.66 | 0.00 |
| 6 | Log(Body size) + Diet | −131.63 | 12 | 285.30 | 286.08 | 55.33 | 0.00 |
| 6i | Log(Body size) + Diet + Log(Body size)*Diet | −124.74 | 19 | 285.50 | 287.44 | 56.69 | 0.00 |
| 7 | Log(Body size) + Habitat | −128.98 | 13 | 282.00 | 282.92 | 52.17 | 0.00 |
| 8 | Log(Body size) + Migrant Status | −125.67 | 8 | 265.30 | 265.66 | 34.91 | 0.00 |
| 8i | Log(Body size) + Migrant Status + Log(Body size)*Migrant Status | −125.35 | 11 | 270.70 | 271.36 | 40.61 | 0.00 |
| 9 | Log(Body size) + Abundance | −113.45 | 7 | 238.90 | 239.18 | 8.43 | 0.01 |
| 9i | Log(Body size) + Abundance + Log(Body size)*Abundance | −112.63 | 9 | 241.30 | 241.75 | 11.00 | 0.00 |
| 10 | Diet + Habitat | −131.53 | 19 | 299.10 | 301.04 | 70.29 | 0.00 |
| 11 | Diet + Migrant Status | −129.58 | 14 | 285.20 | 286.26 | 55.51 | 0.00 |
| 12 | Diet + Abundance | −113.65 | 13 | 251.30 | 252.22 | 21.47 | 0.00 |
| 13 | Habitat + Migrant Status | −127.29 | 15 | 282.60 | 283.82 | 53.07 | 0.00 |
| 14 | Habitat + Abundance | −111.30 | 14 | 248.60 | 249.66 | 18.91 | 0.00 |
| 15 | Migrant Status + Abundance | −110.39 | 9 | 236.80 | 237.25 | 6.50 | 0.03 |
| 15i | Migrant Status + Abundance + Migrant Status*Abundance | −107.62 | 15 | 243.20 | 244.42 | 13.67 | 0.00 |
| 16 | Log(Body size) + Diet + Habitat | −127.07 | 20 | 292.10 | 294.25 | 63.50 | 0.00 |
| 17 | Log(Body size) + Diet + Migrant Status | −124.68 | 15 | 277.40 | 278.62 | 47.87 | 0.00 |
| 18 | Log(Body size) + Diet + Abundance | −110.99 | 14 | 248.00 | 249.06 | 18.31 | 0.00 |
| 19 | Log(Body size) + Habitat + Migrant Status | −121.79 | 16 | 273.60 | 274.98 | 44.23 | 0.00 |
| 20 | Log(Body size) + Habitat + Abundance | −109.12 | 15 | 246.20 | 247.42 | 16.67 | 0.00 |
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| 21i | Log(Body size) + Migrant Status + Abundance + Log(Body size)*Migrant Status | −105.92 | 13 | 235.80 | 236.72 | 5.97 | 0.04 |
| 21ii | Log(Body size) + Migrant Status + Abundance + Log(Body size)*Abundance | −105.35 | 12 | 232.70 | 233.48 | 2.73 | 0.18 |
| 21iii | Log(Body size) + Migrant Status + Abundance + Migrant Status*Abundance | −103.45 | 16 | 236.90 | 238.28 | 7.53 | 0.02 |
| 22 | Diet + Habitat + Migrant Status | −124.90 | 22 | 291.80 | 294.41 | 63.66 | 0.00 |
| 23 | Diet + Habitat + Abundance | −108.77 | 21 | 257.50 | 259.88 | 29.13 | 0.00 |
| 24 | Diet + Migrant Status + Abundance | −107.77 | 16 | 245.50 | 246.88 | 16.13 | 0.00 |
| 25 | Habitat + Migrant Status + Abundance | −106.22 | 17 | 244.40 | 245.96 | 15.21 | 0.00 |
| 26 | Log(Body size) + Diet + Habitat + Migrant Status | −120.75 | 23 | 285.50 | 288.35 | 57.60 | 0.00 |
| 27 | Log(Body size) + Diet + Habitat + Abundance + | −107.06 | 22 | 256.10 | 258.71 | 27.96 | 0.00 |
| 28 | Log(Body size) + Diet + Migrant Status + Abundance | −104.84 | 17 | 241.70 | 243.26 | 12.51 | 0.00 |
| 29 | Diet + Habitat + Migrant Status + Abundance | −103.80 | 24 | 253.60 | 256.71 | 25.96 | 0.00 |
| 30 | Log(Body size) + Diet + Habitat + Migrant Status + Abundance | −101.94 | 25 | 251.90 | 255.28 | 24.53 | 0.00 |
LogLik is the loglikelihood; k is the number of estimated parameters. The best model with the lowest AICc is in bold. ΔAICc is the difference between that model’s AICc and the best one; ωi is the weight of the model indicating the probability that a given model is the best among the model candidates. The null model included only the Family random factor without the addition of fixed effects.
Analysis of deviance between the best and candidate model, testing for significance of the effect of Log(Body Size), Migrant Status and Abundance on the probability of apparent local extinction of bird species in the studied region of China. Each model is fully described in Table 1.
| Models | Tested factor | χ2 | df | P |
| 21 versus 15 | Log(Body Size) | 8.54 | 1 | 0.003 |
| 21 versus 9 | Migrant Status | 14.66 | 3 | 0.002 |
| 21 versus 8 | Abundance | 39.11 | 2 | <0.001 |
Estimate (± SE) of factors that explained variation in the probability of apparent local extinction of bird species in the studied region of China (using a GLMM Laplace procedure (Link = Logit, Binomial) with Genus within Family within Order as three nested random factors.
| Factors | Estimate | SE | P |
| (Intercept) | −7.957 | 1.252 | <0.001 |
| Log(Body Size) | 1.977 | 0.649 | 0.002 |
| Migrant Status (when | |||
| Resident | 1.520 | 0.504 | 0.003 |
| Summer Visitor | 0.943 | 0.477 | 0.048 |
| Winter Visitor | 2.449 | 0.646 | <0.001 |
| Abundance (when | |||
| Rare | 3.696 | 0.739 | <0.001 |
| Unknown | 2.400 | 0.637 | <0.001 |
Figure 2Relationship between the log-transformed body size and the probability of apparent local extinction.
The relationship is explained for each category of abundance, for ‘common’ and ‘rare’ bird species recorded in the study area (see Table 3 for statistical details).
Percentage of local extinctions in some bird families in the Greater Beijing Area during the period 1938−2007 (only families in which extinctions were recorded are indicated).
| Families | Number of species | Species extinct | % |
| Phasianidae | 11 | 5 | 45.4 |
| Anatidae | 34 | 3 | 8.8 |
| Ciconiidae | 3 | 1 | 33.0 |
| Threskiornithidae | 4 | 3 | 75.0 |
| Pelecanidae | 2 | 1 | 50.0 |
| Phalacrocoracidae | 3 | 2 | 66.6 |
| Accipitridae | 28 | 6 | 21.4 |
| Jacanidae | 1 | 1 | 100.0 |
| Scolopacidae | 37 | 1 | 2.7 |
| Columbidae | 6 | 2 | 33.0 |
| Strigidae | 9 | 1 | 11.1 |
| Picidae | 8 | 1 | 12.5 |
| Laniidae | 5 | 1 | 20.0 |
| Dicruridae | 3 | 1 | 33.3 |
| Corvidae | 18 | 3 | 16.7 |
| Paridae | 7 | 1 | 14.3 |
| Acrocephalidae | 6 | 1 | 16.7 |
| Locustellidae | 5 | 1 | 20 |
| Muscicapidae | 23 | 4 | 17.4 |
| Passeridae | 6 | 1 | 16.7 |
| Fringillidae | 17 | 4 | 23.5 |
| Emberizidae | 17 | 1 | 5.9 |