ForestAcclimationReview_ExtractedData (Superseded, please see the latest version:https://doi.org/10.5281/zenodo.21787740)

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Authors: yu luo
Cited by: 0

Abstract

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

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
2 January 2026
Language
EN
Document type
Dataset