Cinereous Vulture (Aegypius monachus)

2020 ◽  
Author(s):  
Bernd-Ulrich Meyburg ◽  
David Christie ◽  
Guy M. Kirwan ◽  
Jeffrey S. Marks
Keyword(s):  
Ibis ◽  
2018 ◽  
Vol 161 (4) ◽  
pp. 793-805 ◽  
Author(s):  
Emel Çakmak ◽  
Çİğdem Akin Pekşen ◽  
Cİhangİr Kİrazli ◽  
Elİf Yamaç ◽  
Staffan Bensch ◽  
...  

2019 ◽  
pp. 272-274
Author(s):  
Kazhmurat M. Akhmedenov ◽  
◽  
Alexander E. Kuzovenko ◽  
Michael I. Spiegelman ◽  
◽  
...  

2012 ◽  
Vol 23 (2) ◽  
pp. 168-183 ◽  
Author(s):  
PEDRO M. LOURENÇO ◽  
NUNO CURADO ◽  
FILIPA LOUREIRO ◽  
ALFONSO GODINO ◽  
EDUARDO SANTOS

SummarySince the resources available for nature conservation tend to be very limited, localised conservation actions are often the only feasible management option. Therefore, we must select key areas where these actions will be most effective. Here we used Weighted Linear Combination (WLC) to integrate various variables in a GIS environment and identify key areas for implementing conservation actions benefiting Cinereous Vultures Aegypius monachusin south-east Portugal. Through a bibliographic search, we selected four main variables and sub-variables related to land use, food availability, disturbance and topography. These were weighted for their relative importance using the Analytic Hierarchy Process (AHP) and combined using WLC to obtain suitability maps for the best nesting and foraging sites for Cinereous Vultures. Overall, the study areas show moderate to high suitability as foraging areas for the species, but only a few small patches seem suitable as nesting sites. The use of GIS-based decision support systems, such as WLC, together with an objective method for weighting variables, like the AHP, allows for the integration of large amounts of cartographic information into suitability maps that can easily be used to select key areas for conservation at the regional level.


2010 ◽  
Vol 16 (1) ◽  
pp. 25-34 ◽  
Author(s):  
Rubén Moreno-Opo ◽  
Antoni Margalida ◽  
Ángel Arredondo ◽  
Francisco Guil ◽  
Manuel Martín ◽  
...  

2018 ◽  
Vol 68 (5) ◽  
pp. 1659-1664 ◽  
Author(s):  
Hojun Sung ◽  
Hyun Sik Kim ◽  
June-Young Lee ◽  
Woorim Kang ◽  
Pil Soo Kim ◽  
...  
Keyword(s):  

2020 ◽  
Vol 12 (2) ◽  
pp. 503
Author(s):  
Esther Ortiz-Urbina ◽  
Luis Diaz-Balteiro ◽  
Carlos Iglesias-Merchan

Natural landscapes are increasingly under anthropogenic pressures, and concern about human impacts on wildlife populations is becoming particularly relevant in the case of natural areas affected by roads. The expansion of road networks is considered among the main factors threatening biodiversity due to their potential for disturbing natural ecosystems on large scales. Indeed, traffic noise pollution reduces the quantity and the quality of natural habitats, and umbrella species are frequently used as indicators of natural ecosystem health. In this sense, there is a variety of GIS-based ecological modeling tools that allow evaluation of the factors that influence species distributions in order to accurately predict habitat selection. In this study, we have combined the use of noise modeling tools and maximum entropy modeling (MaxEnt) to evaluate the relative importance of environmental variables for Cinereous vulture (Aegypius monachus) nesting habitat selection within a mountainous forest in Spain. As a result, we found that spatial negative influence of roads on wildlife due to road traffic disturbance may have been traditionally overestimated when it has been inferred from distance measurements of wildlife behavior in road surroundings instead of from considering road traffic noise level exposure. In addition, we found a potential risk threshold for cinereous vulture breeding around roads, which ties in with a Leq24h level of 40 dB(A). This may be a useful indicator for assessing the potential impact of human activities on an umbrella species such as, for instance, the cinereous vulture, whose breeding does not take place where road traffic Leq24h levels are higher than 40 dB(A).


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