Published January 2, 2026 | Version v1
Dataset Open

ForestAcclimationReview_ExtractedData

Authors/Creators

  • 1. ROR icon University of Münster

Description

Dataset description

This dataset accompanies the manuscript "Conceptual ambiguity in forest acclimation studies: a critical review".

Data collection

A systematic literature search was conducted using Web of Science with the search terms "acclimation" AND "forest" in the title, covering publications from 1990 to 2024. Studies were included if they: (1) used measurable indicators to explicitly quantify or assess acclimation responses; (2) included field studies, controlled environment experiments, or observational data; (3) focused on trees or forest ecosystems; and (4) were published as original research articles or review papers. The final dataset includes 55 studies.

Variables

For each study, the following information was extracted:

  • Publication year
  • Geographic location
  • Forest type (evergreen broadleaf, deciduous broadleaf, evergreen needleleaf, mixed)
  • Scale of analysis (leaf, plant, ecosystem)
  • Study design (manipulation, field-based)
  • Acclimation quantification method (direct comparison, index, environmental gradient regression, temporal tracking)
  • Environmental driver(s) studied (light, temperature, drought, nitrogen addition, other)
  • Key findings
  • Methodological strengths and limitations

Contact

Yu Luo, Institute of Landscape Ecology, University of Münster. Email: yu.luo@uni-munster.de

Files

ForestAcclimationReview_ExtractedData.csv

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