2013
DOI: 10.1007/s10113-013-0409-7
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Landscape pattern and census area as determinants of the diversity of farmland avifauna in Estonia

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Cited by 9 publications
(8 citation statements)
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“…Our results demonstrate the sensitivity of the sets of landscape metrics to describe the potential occurrence of the particular bird guilds. In contrast to the results of Marja et al ( 2013 ), who used three fixed landscape metrics at different scales, we identified sets of landscape metrics distinguishing all guilds with high classification accuracy (higher than 80%), except for the grassland species where the re-classification rate was only 66%. We cannot confirm the conclusion drawn by Uuemaa et al ( 2013 ) in their review on the use of landscape metrics, i.e.…”
Section: Discussioncontrasting
confidence: 69%
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“…Our results demonstrate the sensitivity of the sets of landscape metrics to describe the potential occurrence of the particular bird guilds. In contrast to the results of Marja et al ( 2013 ), who used three fixed landscape metrics at different scales, we identified sets of landscape metrics distinguishing all guilds with high classification accuracy (higher than 80%), except for the grassland species where the re-classification rate was only 66%. We cannot confirm the conclusion drawn by Uuemaa et al ( 2013 ) in their review on the use of landscape metrics, i.e.…”
Section: Discussioncontrasting
confidence: 69%
“…Marja et al (2013) showed that the variation explanation of landscape metrics for farmland bird variables increased with the size of the study area. Similarly, Böhning-Gaese (1997) revealed that the prediction of bird species richness changed with increasing raster sizes (grains).…”
Section: Discussionmentioning
confidence: 99%
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“…One limitation of our specific focus is the disregard of scale effects. Marja et al ( 2013 ) found the variation explained between farmland bird variables and landscape metrics to increase with the size of the study area. Similarly, Böhning-Gaese ( 1997 ) revealed that the impact of different habitat types in predicting bird species richness changed with increasing raster sizes (grain) for spatial analyses.…”
Section: Discussionmentioning
confidence: 99%