seasonal-forecasting
Seasonal forecasting uses climatic and phenological data to predict the timing of recurring plant life-cycle events, such as budburst, flowering, and dormancy onset, often months in advance. For plant science, this matters because accurately anticipating these shifts helps researchers understand how forest and understory species respond to changing climate patterns, informing conservation strategies and land management decisions. It also allows scientists to model how mismatches between species' seasonal timing could affect ecosystem interactions and biodiversity.
open_in_new WikipediaPubMed · 2026-07-06
Swedish researchers built forecast models predicting when trees bud, berries ripen, and bark beetles swarm, then used climate scenarios to project how those timings will shift by century's end. Under the worst-case warming scenario, spring in Sweden's forests could arrive over a month earlier, and the destructive spruce bark beetle could complete two full generations per season instead of one.
Broadleaf trees (birch) are projected to start the growing season 9-41 days earlier by 2070-2099 compared to 1970-1999, with the range depending on the emissions scenario (RCP2.6 vs. RCP8.5).
The European spruce bark beetle (Ips typographus) could produce two new generations per season by late century; in southern Sweden this may become the norm, while in the north it would occur only occasionally under the most severe warming scenario.
Southern Sweden and the maritime west coast are expected to experience the greatest phenological shifts, while northern Sweden and continental interior areas face the least change.
