Evolutionary Applications · 2018 · 33 citations · 64 references
Natural ResourcesEcologyLandscape EcologyLandscape GeneticsOrnithologyPopulation EcologyBird Population BiologyLandscape GenomicsLandscape StructurePopulation GenomicsSpatial Genetic PatternsSpatial Genetic StructureDispersal Genetic PatternsLandscape Genetic StructureLandscape Population StructurePopulation Spatial StructureSpatial Population StructureSpatially Explicit Population GeneticsUrban Bird EcologyUrban Wildlife Dispersal
, is a cosmopolitan human commensal, domesticated thousands of years ago. However, the human-mediated factors governing its distribution and dispersal are not well understood. In this study, we performed (a) hierarchical distance sampling on ~400 island-wide point transects, (b) a population genomic inquiry based on ~7,000 SNPs from almost 150 individuals, and (c) landscape genomic analyses on the basis of extensive ecological and socio-economic databases to characterize the distribution and dispersal patterns of rock pigeons across Singapore. Our distance sampling results indicated that the volume of intentional "mercy feeding" and availability of high-rise buildings are the most reliable predictors of high pigeon densities in Singapore. Genomic analyses demonstrated that rock pigeons in Singapore form a single population possibly derived from rapid expansion from a genetically homogenous group of founder individuals. In specific, rock pigeons in Singapore lack sex-biased dispersal and are clustered with a genetic patch size of ~3 km. Landscape genomic analyses of great precision pointed to the presence of dense trees as agents of resistance to dispersal, whereas a high road density reduces this resistance. By pinpointing a range of ecological and socio-economic variables determining the distribution and dispersal of pigeons, our study provides urban planners with the tools for optimal management of this human commensal, such as a curtailment of the practice of mercy feeding and modifications to the urban landscape to reduce pigeon density and to lower the likelihood of repopulation by dispersal.
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Inference of Population Structure Using Multilocus Genotype Data
Jonathan K. Pritchard, Matthew Stephens, Peter Donnelly · Genetics · 2000 · 34.3K citations · Full text
Second-generation PLINK: rising to the challenge of larger and richer datasets
Christopher Chang, Carson C. Chow, Laurent CAM Tellier et al. · GigaScience · 2015 · 14K citations · Full text