2021
DOI: 10.1038/s41598-021-01504-y
|View full text |Cite
|
Sign up to set email alerts
|

Factors influencing the global distribution of the endangered Egyptian vulture

Abstract: Vultures are ecologically important primarily because of their scavenging role in cleaning carcasses of the environment. Because of anthropogenic impacts, the Egyptian vulture (Neophron percnopterus) has suffered catastrophic declines in parts of its range and, thus, information about its global distribution and factors influencing its occurrence within this range are essential for its conservation. To this end, we estimated the global distribution of Egyptian vulture and variables related to this distribution… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
11
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
7

Relationship

1
6

Authors

Journals

citations
Cited by 10 publications
(11 citation statements)
references
References 47 publications
0
11
0
Order By: Relevance
“…A total of 288 occurrence data were used in the present study (Figure 1). Out of 288 presence records, 20 were obtained from published literature [13] and about 55 different locations data were obtained from different wildlife photographers, while the remaining 213 presence locations data were retrieved from the GBIF website (https://www.gbif.org, accessed on 21 August 2022), where we included human observations from 2000 to 2021 [29]. The GBIF is an international network and data infrastructure funded by the world's governments and aimed at providing anyone, anywhere, open access to data about all types of life on earth.…”
Section: Study Area and Species Presence Datamentioning
confidence: 99%
“…A total of 288 occurrence data were used in the present study (Figure 1). Out of 288 presence records, 20 were obtained from published literature [13] and about 55 different locations data were obtained from different wildlife photographers, while the remaining 213 presence locations data were retrieved from the GBIF website (https://www.gbif.org, accessed on 21 August 2022), where we included human observations from 2000 to 2021 [29]. The GBIF is an international network and data infrastructure funded by the world's governments and aimed at providing anyone, anywhere, open access to data about all types of life on earth.…”
Section: Study Area and Species Presence Datamentioning
confidence: 99%
“…We showed that while topography shaped the species' global distribution range, precipitation was the most important determinant of the species distribution in the Kopet Dagh Mountains in Asia (Sheykhi Ilanloo et al, 2020), and food availability was the most important variable in explaining habitat suitability of bearded vulture in the Swiss Alpine range. In comparison with other vulture species, Panthi et al (2021) modeled the global habitat suitability of the Egyptian vulture (Neophron percnopterus) and found that climate is the most important determinant of the species' global habitat suitability.…”
Section: Discussionmentioning
confidence: 99%
“…They have been applied to identifying suitable habitats of species (Tellería et al, 2019;Song et al, 2020;Bai et al, 2022;Buechley et al, 2022), predicting the impacts of climate change on species distribution (Escobar-Luján et al, 2022;Zhu et al, 2022), mapping avian hotspots and richness (Moradi et al, 2019), and effectiveness of protected areas for conservation of species (Buechley et al, 2022;Escobar-Luján et al, 2022;Tian et al, 2022). One particular application of SDMs is to model species' global habitat suitability, which is very critical for largescale conservation planning of biodiversity (Panthi et al, 2021;Wang et al, 2022). For instance, Panthi et al (2021) modeled the global habitat suitability of the Egyptian vulture (Neophron percnopterus) and identified environmental determinants of the species distribution.…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…We acknowledge that the study would have been more comprehensive if data were available for biological borders of the species, i.e., extended to India. However, MaxEnt is also useful for small-scale prediction, for instance, it has been used to map the habitat of Egyptian vulture in Nepal (Kc et al 2019) as well as its entire range (Panthi et al 2021).…”
Section: Modelling Potential Suitable Habitatmentioning
confidence: 99%