Understanding how habitat quality in heterogeneous landscapes governs the distribution and fitness of individuals is a fundamental aspect of ecology. While mean individual fitness is generally considered a key to assessing habitat quality, a comprehensive understanding of habitat quality in heterogeneous landscapes requires estimates of dispersal rates among habitat types. The increasing accessibility of genomic approaches, combined with field-based demographic methods, provides novel opportunities for incorporating dispersal estimation into assessments of habitat quality. In this study, we integrated genomic kinship approaches with field-based estimates of fitness components and approximate Bayesian computation (ABC) procedures to estimate habitat-specific dispersal rates and characterize habitat quality in twotoed sloths (Choloepus hoffmanni) occurring in a Costa Rican agricultural ecosystem.Field-based observations indicated that birth and survival rates were similar in a sparsely shaded cacao farm and adjacent cattle pasture-forest mosaic. Sloth density was threefold higher in pasture compared with cacao, whereas home range size and overlap were greater in cacao compared with pasture. Dispersal rates were similar between the two habitats, as estimated using ABC procedures applied to the spatial distribution of pairs of related individuals identified using 3,431 single nucleotide polymorphism and 11 microsatellite locus genotypes. Our results indicate that crops produced under a sparse overstorey can, in some cases, constitute lower-quality habitat than pasture-forest mosaics for sloths, perhaps because of differences in food resources or predator communities. Finally, our study demonstrates that integrating field-based demographic approaches with genomic methods can provide a powerful means for characterizing habitat quality for animal populations occurring in heterogeneous landscapes.
K E Y W O R D Sagroecosystem, dispersal, genomics, habitat quality, kinship, sloths
| INTRODUCTIONCharacterizing habitat quality for species occurring in heterogeneous landscapes is a key endeavour of ecology, where high-quality habitats are expected to lead to high mean individual fitness in the absence of density-dependent effects (Johnson, 2007). Theoretically, individuals will seek to promote their fitness by preferentially selecting high-over low-quality habitats (Franklin, Anderson, Guti errez, & Burnham, 2000;Morris, 2003;Orians, 1969), and estimating mean individual fitness in different habitat types is therefore considered the "gold standard" for assessing habitat quality (Johnson, 2007). Fitness, however, is also a function of the density of conspecifics within a habitat patch as intraspecific competition for resources can modulate the fitness benefits of high-quality habitats (Hassell & May, 1973;Milinski, 1979). Consequently, individuals must balance perceived trade-offs between habitat quality and intraspecific competition when selecting habitat in order to maximize their contribution to future generations...