J Plant Ecol ›› Advance articles     DOI:10.1093/jpe/rtag226

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Forest bioindication via vascular plants: from multilevel frameworks to trait-based analysis

Olena Blinkova1, 2*, Roma Żytkowiak1, Dawid Adamczyk1, Liudmyla Raichuk3, Saulius Mickevičius4, Marina Sidorenko4, Volodymyr Vasylenko4, Olga Iungin4, Dalia Urbonavičienė4, Andrzej M. Jagodziński1   

  1. 1. Institute of Dendrology, Polish Academy of Sciences , Parkowa 5, 62-035, Kórnik , Poland;
    2. Taras Shevchenko Lugansk National University , Koval St. 3, 36003, Poltava , Ukraine;
    3. Institute of Agroecology and Environmental Management of the National Academy of Agrarian Sciences of Ukraine , 12 Metrolohichna St., 03143, Kyiv , Ukraine;
    4. Vytautas Magnus University, Research Institute of Natural and Technological Sciences, Universiteto g. 10 , Akademija, 53361, Kaunas , Lithuania
    *Correspondence to blinkova@man.poznan.pl
  • Received:2026-03-16 Revised:2026-08-10 Accepted:2026-08-31 Published:2026-09-16

Abstract: Forest bioindication is widely used to assess ecosystem condition under anthropogenic and climatic stress, yet vascular plant-based approaches remain fragmented across biological levels, forest types, and indicator traits. This review synthesises the indexed and retrievable literature using a structured conceptual review and an ABC classification matrix linking biological organisation level, forest type, and indicator trait category. A total of 1,278 publications retrieved for January 2000–May 2025 were classified at the metadata level (title, abstract, and keywords) to identify research patterns and methodological gaps. Species- and community-level studies were the most frequently assigned organisational categories (A5, n=500; A6, n=460), while temperate forests, especially deciduous forests (B3.1, n=112), were strongly represented. Functional and morphometric traits were the most frequent trait categories, whereas biochemical, cellular-, and organ-level indicators were less integrated into broader forest assessments. The results indicate methodological expansion rather than linear replacement of species-based approaches, but integration across biological levels remains limited. PCA-based ordination and K-means clustering suggested two provisional research orientations: ecosystem- and community-level studies in tropical and subtropical forests based mainly on morpho-functional traits, and cellular- to organism-level studies in temperate forests focused on physiological and biochemical responses. Because the classification was metadata-based and the multivariate analyses exploratory, these orientations should be interpreted as descriptive tendencies rather than confirmed divisions of the field. The ABC framework supports comparison among studies and highlights priorities for diagnostic coherence, defined as consistent classification, measurement, and interpretation of indicators across biological levels, forest types, and trait categories.

This review assesses vascular-plant-based forest bioindication using a structured conceptual review and an ABC matrix linking biological level, forest type, and trait category. It metadata-classified 1,278 publications retrieved for Jan 2000–May 2025. Findings show dominance of species- and community-level studies and of temperate, especially deciduous, forests; functional/morphometric traits were most common, whereas biochemical, cellular- and organ-level indicators were weakly integrated. The field expanded rather than replaced species-based approaches. Exploratory ordination/clustering suggested two descriptive orientations—tropical/subtropical ecosystem–community work using morpho-functional traits, and temperate physiological–biochemical work—but these remain tentative given metadata-based, exploratory methods. The ABC framework can improve comparability and diagnostic coherence across levels, forest types, and traits.

Key words: anthropogenic stress, climate change, forest type, biological organization, plant functional trait, vegetation monitoring