Unknown

Dataset Information

Opportunistic plant observations reveal spatial and temporal gradients in phenology.


ABSTRACT: Opportunistic plant records provide a rapidly growing source of spatiotemporal plant observation data. Here, we used such data to explore the question whether they can be used to detect changes in species phenologies. Examining 19 herbaceous and one woody plant species in two consecutive years across Europe, we observed significant shifts in their flowering phenology, being more pronounced for spring-flowering species (6-17 days) compared to summer-flowering species (1-6 days). Moreover, we show that these data are suitable to model large-scale relationships such as "Hopkins' bioclimatic law" which quantifies the phenological delay with increasing elevation, latitude, and longitude. Here, we observe spatial shifts, ranging from -5 to 50 days per 1000 m elevation to latitudinal shifts rangi

SUBMITTER: Rzanny M 

PROVIDER: S-EPMC11332049 | biostudies-literature | 2024 Mar

REPOSITORIES: biostudies-literature