Evidence map›Paper›PMID 42406133›Full record

ArticleInternational journal of biometeorology2026

Short-term forecasts and long-term regional scenarios of climate change effects on Swedish forest phenology.

Ola Langvall, Gustav Strandberg

Abstract read
In one paragraph

Article in International journal of biometeorology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Ola LangvallSwedish University of Agricultural Sciences, Siljansfors Experimental Forest, Mora, Sweden. ola.langvall@slu.se.ORCID http://orcid.org/0000-0003-1709-400X
Gustav StrandbergSwedish Meteorological and Hydrological Institute, Norrköping, Sweden.ORCID http://orcid.org/0000-0003-2689-9360

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Comprehensive forest phenology data from the Swedish National Phenology Network has been used to produce forecast models of the seasonal phenology on tree species, wild berries and insects, which are made available to the public. One model forecasts the onset, maximum appearance and ending of the budburst and leaf/shoot elongation of the most common tree species in Sweden; Silver birch (Betula pendula Roth), Downy birch (B. pubescens Ehrh.), Norway spruce (Picea abies [L.] H. Karst.) and Scots pine (Pinus sylvestris L.). Furthermore, a model for the onset, maximum appearance and ending of flowering and ripening of the most common wild berries in Sweden; Cowberry (Vaccinium vitis-idaea L.) and Bilberry (V. myrtillus L.), and a model for the timing of the swarming of the European spruce bark beetle (Ips typographus Linnaeus, 1758) for the mother generation and, more interestingly, for the coming generations during the same season, are also available. Daily air temperature data from the sites where phenology observations has been undertaken, is used to produce critical accumulated temperatures for when target phenological phases appear. Current year's weather data, for estimation of the current status, and long-term averages, for predicting the near future, are used to produce seasonal forecasts predicting the timing of e.g. budburst, berry ripening and swarming of first-generation offspring that may establish a second generation of beetles. The assigned critical accumulated air temperatures for phenological phases to appear in the forecast models have also been applied on scenario temperature data, to explore possible long-term effects of climate change in the Swedish forests. The scenarios predict broadleaf trees to have a 9-41 days earlier start of the season in the period 2070-2099, compared to the reference period 1970-1999, depending on the applied scenarios (average of all sites and species, shortest for RCP2.6 and longest for RCP8.5). A general pattern is that the spruce bark beetle may be able to produce two new generations on one season at the end of the century, in the south this can be the new normal, in the north only occasionally and only under the strongest climate change scenario (RCP8.5). Northern Sweden and local continental areas are expected to experience the least change, compared to southern Sweden and, especially, the maritime west coast area, at least for some of the tested traits.

Indexed as

Climate ChangeForestsModels, TheoreticalTreesAnimalsColeopteraForecastingSeasonsSwedenBark beetle swarmingBudburstClimate change scenariosForecast modelsPhenologyRipe berries

Identifiers

PMID42406133
PMCPMC13337794

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.