OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
Color phenotyping and genome-wide association studies of ...
OpenAlex:
FUNCTIONAL STUDIES ON SIEVE ELEMENT-SPECIFIC PROTEINS
OpenAlex:
Understanding the control of perpetual flowering and cont...
OpenAlex:
Nuclear dynamics in Sclerotinia sclerotiorum
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
Artificial Intelligence in Plant Sciences
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
OpenAlex:
sRNA_seq_clean_thrips_leafdiscs_timeseries
Phenological shifts keep pace with climate change but are slowing down in a semi-arid grassland community.
PubMed · 2026-05-14
Wildflowers in a Montana grassland are blooming earlier than they used to, and they're keeping up with climate change — but the rate of that shift is slowing down, raising concern about what happens as warming continues.
1
Across 25 wildflower species studied from 1995–2024, flowering advanced nonlinearly — shifts were faster early in the record and are slowing down over time.
2
Early-spring flowering species pushed their bloom dates even earlier specifically under drought conditions, a stronger response than seen in late-spring species.
3
Plants are now flowering with fewer accumulated heat units (growing degree days) and sooner after snowmelt than historically, meaning climate-relevant timing has shifted.