ArticleEcology and evolution2026
Can Functional Traits Explain Recent Changes in Abundance of Alpine Plant Species?
Article in Ecology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Climate change is driving significant changes in alpine ecosystems, where temperature-sensitive plant communities are particularly vulnerable. As plants migrate to higher elevations, understanding the mechanisms behind these changes is critical for predicting ecosystem dynamics. Morphological, physiological, and chemical functional traits may help understand species' responses to environmental change. This study examines whether functional traits can explain recent changes in presence and cover of alpine plant species in permanent plots. We analyzed vegetation data from repeated surveys of permanent plots at two sites. Morphological traits (e.g., plant height, leaf area) and physiological traits (e.g., frost and drought resistance) were measured locally for common species and supplemented with data from the TRY trait database to broaden species coverage. Linear models were applied to assess the relationships between traits and abundance changes (presence and cover), using multiple metrics. Our results reveal that plant height and leaf area are significant predictors of species abundance changes, emphasizing the role of morphological traits in shaping alpine plant communities. In contrast, physiological traits showed limited explanatory power. Notably, leaf carbon content emerged as a key predictor, suggesting that conservative strategies may provide advantages under warming conditions. Measures describing biomass dynamics (e.g., cover) differed from those describing establishment (e.g., presence), highlighting the multifaceted nature of species responses to environmental changes. Although our findings emphasize the importance of competitive interactions and resource acquisition, the study is limited by the absence of traits related to heat tolerance and prolonged warming. Future research should address these gaps to better understand the impacts of sustained temperature increases on alpine ecosystems.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.