| Literature DB >> 23840322 |
Ine Dorresteijn1, Tibor Hartel, Jan Hanspach, Henrik von Wehrden, Joern Fischer.
Abstract
Land use change is a major threat to global biodiversity. Forest species face the dual threats of deforestation and intensification of forest management. In regions where forests are under threat, rural landscapes that retain structural components of mature forests potentially provide valuable additional habitat for some forest species. Here, we illustrate the habitat value of traditional wood pastures for a woodpecker assemblage of six species in southern Transylvania, Romania. Wood pastures are created by long-term stable silvo-pastoral management practices, and are composed of open grassland with scattered large, old trees. Because of their demanding habitat requirements, woodpeckers share habitat with many other bird species, and have been considered as possible indicator species for bird species diversity. We first compared woodpecker assemblages between forests and wood pastures. Second, we grouped features of wood pastures into three spatial contexts and addressed how these features related to the occurrence of three woodpecker species that are formally protected. Woodpecker species composition, but not the number of species, differed between forests and wood pastures, with the green woodpecker occurring more commonly in wood pastures, and the lesser spotted woodpecker more commonly in forests. Within wood pastures, the intermediate context (especially surrounding forest cover) best explained the presence of the grey-headed and middle spotted woodpecker. By contrast, variables describing local vegetation structure and characteristics of the surrounding landscape did not affect woodpecker occurrence in wood pastures. In contrast to many other parts of Europe, in which several species of woodpeckers have declined, the traditional rural landscape of Transylvania continues to provide habitat for several woodpecker species, both in forests and wood pastures. Given the apparent habitat value of wood pastures for woodpeckers we recommend wood pastures be explicitly considered in relevant policies of the European Union, namely the Habitats Directive and the EU Common Agricultural Policy.Entities:
Mesh:
Year: 2013 PMID: 23840322 PMCID: PMC3686800 DOI: 10.1371/journal.pone.0065236
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Study area and design.
A) The location of the study area in southern Transylvania, Romania, and location of the 12 forest and 28 wood pasture sites. B) Example of a survey site, showing the three different landscape extent groups considered in the analyses. The small dashed circle (a 300 m radius around the survey point) represents the local context; solid lines represent the intermediate context (a 300 m buffer from the border of the wood pasture); and the large dashed circle represents the broader landscape context (a 2000 m radius around the survey point).
Habitat characteristics (mean± SE) of the two surveyed habitat types: forests (n = 12) and wood pastures (n = 28).
| Forest | Wood pasture | |
| Habitat variables; mean ± SE | ||
| Number of trees | 1345±255.89 | 16.54±1.77 |
| Median DBH | 25.97±2.69 | 76.52±4.86 |
| Proportion of oak | 0.20±0.03 | 0.63±0.04 |
| Proportion of hornbeam | 0.44±0.05 | 0.12±0.03 |
| Proportion of beech | 0.33±0.07 | 0.05±0.02 |
| Proportion of fruit trees | 0.003±0.001 | 0.15±0.03 |
The number of trees was calculated as the number of trees in 2 ha; median dbh (cm) was calculated as the mean of the medians measured within 2 ha and between 80 and 300 m; the proportion of a tree species was calculated as the mean of the proportion of a species in 2 ha and between 80 and 300 m.
Figure 2Woodpecker species composition in forests and wood pastures.
Non-metric multidimensional scaling of woodpecker composition in both forests and wood pastures, based on a Sørensen dissimilarity matrix (two axes; stress = 15.1).
Full model summary of all the candidate models for the three woodpecker species protected under the EU Bird Directive Annex I.
| Species | Model | Log(L) | K | AICc | Δ AICc | Wi |
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| I* | −15.69 | 3 | 38.39 | 0.00 | 0.479 |
| Null* | −18.76 | 1 | 39.67 | 1.29 | 0.252 | |
| B | −16.86 | 3 | 40.73 | 2.34 | 0.149 | |
| B+I | −15.05 | 5 | 42.83 | 4.44 | 0.052 | |
| L | −16.77 | 4 | 43.28 | 4.89 | 0.041 | |
| L+B | −14.28 | 6 | 44.58 | 6.19 | 0.021 | |
| L+I | −15.73 | 6 | 47.47 | 9.08 | 0.005 | |
| L+I+B | −13.94 | 8 | 51.46 | 13.07 | 0.001 | |
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| I* | −15.06 | 3 | 37.12 | 0.00 | 0.606 |
| I+B* | −13.12 | 5 | 38.97 | 1.85 | 0.241 | |
| Null | −19.12 | 1 | 40.40 | 3.27 | 0.118 | |
| B | −18.94 | 3 | 44.87 | 7.75 | 0.013 | |
| L+I | −14.65 | 6 | 45.05 | 7.92 | 0.012 | |
| L | −18.05 | 4 | 45.54 | 8.42 | 0.009 | |
| L+I+B | −12.41 | 8 | 48.39 | 11.26 | 0.002 | |
| L+B | −17.95 | 6 | 51.65 | 14.53 | 0.000 | |
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| Null* | −15.75 | 1 | 33.64 | 0.00 | 0.701 |
| L | −13.91 | 4 | 37.56 | 3.91 | 0.099 | |
| I | −15.33 | 3 | 37.66 | 4.02 | 0.094 | |
| B | −15.60 | 3 | 38.21 | 4.56 | 0.072 | |
| L+B | −12.65 | 6 | 41.31 | 7.67 | 0.015 | |
| I+B | −14.52 | 5 | 41.76 | 8.12 | 0.012 | |
| L+I | −13.56 | 6 | 43.12 | 9.48 | 0.006 | |
| L+I+B | −11.62 | 8 | 46.76 | 13.12 | 0.001 |
Best ranked models (Δi <2) are marked with *.
Model: L = local context; I = intermediate context; B = broader landscape context; Null = null model.
Model summary: Log(L) = the maximised log-likelihood, K = number of estimated parameters; AICc: Akaike’s Information Criterion corrected for small sample bias; ΔAICc: difference in AICc compared with the model with the lowest AICc; Wi: Akaike weights.
Model coefficients (and standard errors) of the environmental variables included in the best ranked models in binomial GLMs for the middle spotted and grey-headed woodpecker.
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| Species | Model |
| Size wood pasture | Woody vegetation in perimeter | Hetero-geneity | Ruggedness |
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| I | −0.58±0.45 | 0.40±0.48 | 1.03±0.52 | ||
| Null | −0.44±0.39 | |||||
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| I | 0.34±0.45 | −0.25±0.43 | 1.31±0.55 | ||
| I+B | 0.48±0.51 | −0.47±0.51 | 2.41±0.98 | 0.001±0.51 | −1.27±0.72 |
Model: I = intermediate context; B = broader landscape context; Null = null model.