2018
DOI: 10.2478/s11756-018-0128-0
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Determinants of avian malaria prevalence in mountainous Transcaucasia

Abstract: Deforestation, urban development, and global climate change can lead to dramatic changes of ecological communities and increase prevalence of infectious diseases at higher latitudes and altitudes. Identification offactors responsiblefor the prevalence of parasites is of crucial importance to understand the dynamics of parasite distribution in a changing environment. Mountain areas are especially suitable for studies offactors governing parasite distribution and prevalence due to heterogeneity of landscapes, cl… Show more

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Cited by 4 publications
(3 citation statements)
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“…Again, such studies have been instrumental to improving our understanding of natural variation in parasite prevalence. However, these previous haemosporidian community analyses have failed to identify landscape predictors that scale across parasite genera (Atoyan et al., 2018; Barrow et al., 2019; Clark & Clegg, 2017; Harvey & Voelker, 2019; Loiseau et al., 2010; Lutz et al., 2015), hampering our ability to make general predictions about possible changes in prevalence in future scenarios. This is a major hindrance to the development of harmonized, biologically relevant models that can be used to explore how uncertainties can be reduced to make predictions more useful.…”
Section: Discussionmentioning
confidence: 99%
“…Again, such studies have been instrumental to improving our understanding of natural variation in parasite prevalence. However, these previous haemosporidian community analyses have failed to identify landscape predictors that scale across parasite genera (Atoyan et al., 2018; Barrow et al., 2019; Clark & Clegg, 2017; Harvey & Voelker, 2019; Loiseau et al., 2010; Lutz et al., 2015), hampering our ability to make general predictions about possible changes in prevalence in future scenarios. This is a major hindrance to the development of harmonized, biologically relevant models that can be used to explore how uncertainties can be reduced to make predictions more useful.…”
Section: Discussionmentioning
confidence: 99%
“…NDVI was calculated using the following equation NDVI = (NIR − RED)/(NIR + RED), where NIR is the near‐infrared and RED the visible band (Myneni et al, 1995 ). It measures the degree of absorption by chlorophyll in red wavelengths (Myneni et al, 1995 ), the index values fall between −1 and 1, with values around −1 representing clouds and water, values around 0 representing bare soil, and values close to 1 representing forested areas with maximum greenness (i.e., forest cover) (Atoyan et al, 2018 ). For environmental variables that had a low resolution for the exact GPS coordinate, we used the value of the adjacent pixel (<800 m from the original point) to that locality.…”
Section: Methodsmentioning
confidence: 99%
“…Associations between birds, haemosporidian parasites, and dipteran vectors are governed by both biotic (e.g., host availability and density) and abiotic (e.g., temperature and precipitation) factors (Chapa‐Vargas et al, 2020 ), in addition to anthropogenic alterations, such as deforestation and habitat degradation (Atoyan et al, 2018 ; Chasar et al, 2009 ; Marzal et al, 2015 ; Olsson‐Pons et al, 2015 ; Sehgal, 2010 ). Temperature, humidity, precipitation and proximity to water appear to be the most important environmental variables influencing avian‐haemosporidian interactions on regional and global scales (Illera et al, 2017 ; Jones et al, 2013 ; Mendenhall et al, 2013 ; Padilla et al, 2017 ; Villar Couto et al, 2019 ).…”
Section: Introductionmentioning
confidence: 99%