Biological Journal of the Linnean Society · 2019 · 17 citations · 52 references
Life SciencesEcologyZoologyEvolutionary EcologyMacroevolutionOrnithologyBird BiogeographyBird EcologyBird EvolutionBird Population BiologyBreeding PlumageBreeding Range DynamicsClinal VariationCline AnalysisPlumage DisplaysSeasonal Plumage Variation
In polymorphic species of birds, clinal variation in plumage coloration is frequently observed. These clines often follow Gloger’s ecogeographical rule, which predicts that greater numbers of dark morphs will breed in wetter areas. More recent research on polymorphic raptors has suggested this pattern might be due to a cryptic advantage of dark morph hawks foraging in conditions with lower solar radiation during their breeding season. We explore this question for Swainson’s hawk (Buteo swainsoni) using the MORPHIC internet application, which sources photographs from the internet and helps to build spatial datasets of visible phenotypes. Using these data, we test for clinal variation in the proportion of dark morph Swainson’s hawks and examine which environmental variables are associated with the morph distribution in the breeding range of this species. We found good evidence for a long- suspected latitudinal cline, with the highest proportion of dark morphs occurring within the west of the breeding range of the species, and a decreasing frequency toward the east of the range. The distribution of these morphs was most closely associated with rainfall and temperature. However, in contrast to Gloger’s rule, we found that dark morphs were more common in drier and cooler areas of their breeding range, conforming to the thermal melanism hypothesis. Similarly, we found no evidence that dark morphs were associated with areas of lower solar radiation. Taking this evidence together, polymorphism in Swainson’s hawks may be affected largely by the energetic needs of individuals on their breeding grounds rather than their non-breeding grounds.
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R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Google Earth Engine: Planetary-scale geospatial analysis for everyone
Noel Gorelick, M. Hancher, Mike Dixon et al. · Remote Sensing of Environment · 2017 · 14K citations · Full text
Xiao‐Peng Song, Min Feng, Praveen Noojipady et al. · International Journal of Digital Earth · 2013 · 843 citations · Full text
THERMOREGULATION IN REPTILES, A FACTOR IN EVOLUTION
Charles M. Bogert · Evolution · 1949 · 543 citations