Proceedings of the National Academy of Sciences · 2023 · 60 citations · 81 references
Life SciencesEcologyZoologyOrnithologyPopulation EcologyWildlife BiologyAnimal EcologyBird EcologyBird Population BiologyReproductive PhenologyReproductive SeasonalityWildlife EcologyAvian Population DynamicsBreeding PhenologyClimate Change Effects On Reproductive PhenologyGreen-up ResponsePhenological TraitsPhenologySongbird EcologyVegetation Green-up Dynamics
Changes in phenology in response to ongoing climate change have been observed in numerous taxa around the world. Differing rates of phenological shifts across trophic levels have led to concerns that ecological interactions may become increasingly decoupled in time, with potential negative consequences for populations. Despite widespread evidence of phenological change and a broad body of supporting theory, large-scale multitaxa evidence for demographic consequences of phenological asynchrony remains elusive. Using data from a continental-scale bird-banding program, we assess the impact of phenological dynamics on avian breeding productivity in 41 species of migratory and resident North American birds breeding in and around forested areas. We find strong evidence for a phenological optimum where breeding productivity decreases in years with both particularly early or late phenology and when breeding occurs early or late relative to local vegetation phenology. Moreover, we demonstrate that landbird breeding phenology did not keep pace with shifts in the timing of vegetation green-up over a recent 18-y period, even though avian breeding phenology has tracked green-up with greater sensitivity than arrival for migratory species. Species whose breeding phenology more closely tracked green-up tend to migrate shorter distances (or are resident over the entire year) and breed earlier in the season. These results showcase the broadest-scale evidence yet of the demographic impacts of phenological change. Future climate change-associated phenological shifts will likely result in a decrease in breeding productivity for most species, given that bird breeding phenology is failing to keep pace with climate change.
81
R: A Language and Environment for Statistical Computing
R Core Team · 2000 · 353K citations · Full text
Natural Sciences, Computer Science, Statistical Computing +10
Hadley Wickham, Mara Averick, Jennifer Bryan et al. · The Journal of Open Source Software · 2019 · 21.6K citations · Full text
<i>Stan</i> : A Probabilistic Programming Language
Bob Carpenter, Andrew Gelman, Matthew D. Hoffman et al. · Journal of Statistical Software · 2017 · 7.4K citations · Full text
Inferring the historical patterns of biological evolution
Mark Pagel · Nature · 1999 · 5.3K citations