| Literature DB >> 21818374 |
Paola Laiolo1, María J Bañuelos, Beatriz Blanco-Fontao, Mónica García, Gloria Gutiérrez.
Abstract
The bioindicator notion is an appealing concept that has received more support in applied than in basic ecology, mostly due to the difficulty in deriving general ecological rules applicable to all target organisms. However, recognizing the mechanisms that determine the association between a particular species and the well-being of many other species is important for understanding the functioning of ecosystems and the relationship among different biological levels. We examined here the processes at the individual level that cause an association between species performance and biodiversity value, by analyzing attributes that can be studied in a variety of animals with sexual reproduction, namely breeding site selection and condition-dependent sexual signals. Our study model was the Capercaillie, an indicator of forest functioning and diversity, and the associated bird community, used here as a surrogate of broader forest biodiversity. At a regional scale Capercaillie occurrence was not associated with the most diverse forest patches, but at the scale of male spring territories the sexual display grounds (arenas) were located in the oldest and less disturbed forest portions, which also hosted the richest local bird communities. Social mechanisms and conspecific cueing likely concurred with habitat-driven processes in determining the long-term persistence of traditional display grounds, which were appealing to many other species because of their structural composition. Characteristics of male vocal display that honestly advertize male quality (low frequencies and rapid song rates) were significantly correlated with high diversity values, resulting in a spatial association between individual and community performances. Costly or risky activities such as reproductive or social behaviors, which more than other attributes match gradients in habitat quality, are therefore contributing to functionally connect individuals with ecosystem health.Entities:
Mesh:
Year: 2011 PMID: 21818374 PMCID: PMC3144237 DOI: 10.1371/journal.pone.0022724
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Study area and Capercaillie distribution in Cantabrian Mountains.
(A) Location of the 27 study plots (black dots). Green areas represent wooded habitats, the grey colour scale denotes the altitudinal gradient (lighter at higher altitudes). (B) Capercaillie home ranges in 2005–2006 (blue areas), abandoned plots (red areas) and study plots (yellow dots).
Figure 2Spectrogram and mean spectra of Capercaillie song.
Example of a spectrogram of a Capercaillie song (right) and mean spectra of the first click of the drum-roll phase (1) and of the cork-pop note (2) (left). Arrows indicate the spectral parameters taken into account for this study (fundamental frequency of the drum-roll and of the cork-pop). In the time domain, we measured the duration of the drum-roll and whetting phase.
List of habitat variables measured per census station.
| Variable | Measurement | Species |
| Percentage of tall shrub | Percentage of shrubs >1.7 m high in a radius of 20 m. |
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| Percentage of medium size shrub | Percentage of shrubs 0.5–1.7 m high in a radius of 20 m. |
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| Percentage of low shrub | Percentage of shrub <0.5 m high in a radius of 20 m. |
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| Shrub species richness | Number of species of high, medium and low shrub | See above |
| Canopy diversity | Canopy trees in a radius of 20 m were counted and identified. Proportions were used to calculate Shannon Diversity index of canopy trees (H' = -Σp |
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| Tree diameter at breast height (DBH) | The diameters of the closest four canopy trees around the observer, one within each quartile (north, south, east and west) were measured with a tape. The four measurements were summarized as mean values per station. | |
| Canopy openness | We paced in meters the distance between the four closest trees (see DBH). The four measurements were summarized as mean values per station | |
| Variability in tree diameter | Coefficient of variation (S.D./mean ×100) of the four DBH measurements per station | |
| Variability in tree openness | Coefficient of variation of the four distance measurements per station | |
| Number of dead trees | Number of dead trees (standing and fallen) in a radius of 20 m. |
Habitat determinants of Capercaillie occurrence and bird species diversity as highlighted by GLMMs.
| Determinants of Capercaillie occurrence | |||
| Estimate | SE | Z-value | |
| Intercept | −1.48 | 0.68 | −2.1 |
| Diversity of arboreal species | 2.00 | 0.8 | 2.5 |
| Percent cover of high shrub | −0.05 | 0.02 | −2.8 |
| Latitude | −0.003 | 0.0005 | −3.9 |
| Longitude | 0.27 | 0.14 | 2.00 |
| AIC = 181 | |||
Other models were separated by >2 AIC points from those shown here.
*P<0.05.
**P<0.01.
***P<0.001.
Figure 3Bird diversity in Capercaillie plots, abandoned plots and arenas.
Differences in bird species diversity per census station and overall species richness between Capercaillie plots and abandoned plots (a), and between Capercaillie arenas and other portions of its territory (b). Mean and SE are shown. *** P<0.001.
Habitat determinants of Capercaillie choice of arenas, and of bird diversity in Capercaillie territories, as highlighted by GLMMs.
| Factors that determine arena choice in the Capercaillie | |||
| Model 1 | Estimate | SE | Z value |
| Intercept | −23.3 | 9.4 | 0.13 |
| Tree diameter | 0.45 | 0.21 | 2.1 |
| (Tree diameter)2 | −0.004 | 0.002 | −1.9· |
| Cover of medium size shrub | 0.15 | 0.09 | 1.8· |
| Cover of medium size shrub×tree diameter | −0.004 | 0.003 | −1.7· |
| Altitude | 0.008 | 0.005 | 1.7· |
| AIC = 64.1 | |||
The effects of latitude and longitude (or square terms) were not significant, and therefore were excluded from the analysis. Only models separated by <2 AIC points from the best models are shown.
*P<0.05,
***P<0.001, P<0.1.
AIC = −36.93.
Figure 4Relationships between Capercaillie song attributes and bird diversity.
Bird species diversity decreases where the minimum frequency of Capercaillie song increases, and where Capercaillie sings at a faster rate.