Predicted additive and cumulative collision mortality per year for a cinereous vulture population (103 individuals) in the Balkans, stemming from (a) operating and (b) all proposed and operating wind turbines across a nine-zone conservation prioritization zoning system (see Vasilakis et al. 2016), with the help of CRM (99% avoidance rate).

<p>Predicted additive and cumulative collision mortality per year for a cinereous vulture population (103 individuals) in the Balkans, stemming from (a) operating and (b) all proposed and operating wind turbines across a nine-zone conservation prioritization zoning system (see Vasilakis et al. 2016), with the help of CRM (99% avoidance rate).</p

Spatial configurations of wind farm development, wind farm-free and cinereous vulture conservation areas.

<p>Special Protection Areas (SPAs) designated for the conservation of cinereous vulture under the Birds Directive (EC, 2009), wind farm free designated area of Dadia-Lefkimi-Soufli Forest National Park, and Wind farm Priority Area (WPA), within the population home range of cinereous vulture (after Vasilakis et al., 2016).</p

Wind farm power of wind farms per conservation zone at different planning stages, in the vulture population’s core area, non-core area and periphery.

<p>Wind farm power of wind farms per conservation zone at different planning stages, in the vulture population’s core area, non-core area and periphery.</p

Wind farms at different authorization stages within a sensitivity map for cinereous vulture.

<p>Large numbers of wind farms are concentrated in areas of vital conservation importance (70% of time spent by individuals on average), as indicated by nine zone sensitivity map for cinereous vulture (<i>Aegypius monachus</i>) (from Vasilakis et al. 2016).</p

Signals of Climate Change in Butterfly Communities in a Mediterranean Protected Area

<div><p>The European protected-area network will cease to be efficient for biodiversity conservation, particularly in the Mediterranean region, if species are driven out of protected areas by climate warming. Yet, no empirical evidence of how climate change influences ecological communities in Mediterranean nature reserves really exists. Here, we examine long-term (1998–2011/2012) and short-term (2011–2012) changes in the butterfly fauna of Dadia National Park (Greece) by revisiting 21 and 18 transects in 2011 and 2012 respectively, that were initially surveyed in 1998. We evaluate the temperature trend for the study area for a 22-year-period (1990–2012) in which all three butterfly surveys are included. We also assess changes in community composition and species richness in butterfly communities using information on (a) species’ elevational distributions in Greece and (b) Community Temperature Index (calculated from the average temperature of species' geographical ranges in Europe, weighted by species' abundance per transect and year). Despite the protected status of Dadia NP and the subsequent stability of land use regimes, we found a marked change in butterfly community composition over a 13 year period, concomitant with an increase of annual average temperature of 0.95°C. Our analysis gave no evidence of significant year-to-year (2011–2012) variability in butterfly community composition, suggesting that the community composition change we recorded is likely the consequence of long-term environmental change, such as climate warming. We observe an increased abundance of low-elevation species whereas species mainly occurring at higher elevations in the region declined. The Community Temperature Index was found to increase in all habitats except agricultural areas. If equivalent changes occur in other protected areas and taxonomic groups across Mediterranean Europe, new conservation options and approaches for increasing species’ resilience may have to be devised.</p></div

Community Temperature Index (CTI) among the sampled habitats in 1998 and 2011.

<p>A Community Temperature Index (CTI, y-axis) was calculated for each one of the seven habitats (x-axis) as the average Species Temperature Index (calculated after the average temperature of each species’ geographical range in Europe, see <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0087245#pone.0087245-Devictor1" target="_blank">[13]</a>, <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0087245#pone.0087245-VanSwaay1" target="_blank">[14]</a>) weighted by species’ total abundance, sampled in 1998 (filled circle) and 2011 (empty circle) in each of the habitats. Figure shows significant increase of CTI in all habitats except for the agricultural areas.</p

Results from univariate Poisson regression models fitted to each taxon.

<p><i>LR</i>: Likelihood ratio test statistic used as a measure of species strength of between-years effect, <i>SC</i>: species categories (HA: high-altitude, LA: low-altitude, W: widespread) created using species elevational distributions in Greece, <i>PC</i>: proportional change (%) of species abundance among 1998 and 2011 (formula used <i>N</i>₂₀₁₁/ <i>N</i>₁₉₉₈).</p><p>Only statistically significant species (<i>P</i><0.05) are shown, while species are ranked from those with the greatest declines to those with the greatest increases in abundance between 1998 and 2011 (%).</p

Global roadless areas

Global roadless area