Integrative Biology Journals

JOURNAL OF FORESTRY RESEARCH ›› 2026, Vol. 37 ›› Issue (1): 1-.DOI: 10.1007/s11676-026-02050-x

• Review Article •    

Plant midday depression: daily inefficiencies in photosynthesis induced by climate change

Tong Li1,2, Qianqian Xie1, Xiaolu Zhou1,2, Changhui Peng1,2,3, Peng Li1,2, Zelin Liu1,2, Ziying Zou1,2, Mingxia Yang1, Kexin Chen1, Yuqiu Wang1, Meng Wang4   

  1. 1School of Geographic Sciences, Hunan Normal University, Changsha 410081, People’s Republic of China 

    2Hunan Provincial Key Laboratory for Eco-Environmental Changes and Carbon Sequestration of the Dong-Ting Lake Basin, Hunan Normal University, Changsha 410081, People’s Republic of China

    3Department of Biology Science, Institute of Environment Sciences, University of Quebec at Montreal, C.P. 8888, Station Centre-Ville, Montral, , QC H3C3P8, Canada 

    4State Environmental Protection Key Laboratory of Wetland Ecology and Vegetation Restoration, Institute for Peat and Mire Research, Northeast Normal University, Changchun 130024, People’s Republic of China

  • Received:2024-11-07 Accepted:2025-06-30 Online:2026-05-23 Published:2026-01-01
  • Supported by:
    This study was funded by the Hunan Province Furong Program (2023), the National Natural Science Foundation of China (42201064, 32301381), the Joint Fund for Regional Innovation and Development of the National Science Foundation (U22A20570), the Science and Technology Innovation Program of Hunan Province of China (2022RC4027), and Natural Science Foundation of Hunan Province of China (2023JJ40440).

Abstract: Climate change has exacerbated midday environmental stress, prompting plants to mitigate tissue damage through photosynthetic reduction-a phenomenon termed plant midday depression. Modern technological advancements now facilitate large-scale collection of high-frequency data on carbon–water fluxes and environmental factors. The widespread occurrence of plant midday depression introduces significant uncertainties in terrestrial carbon dynamics estimation and prediction. However, systematic understanding of this phenomenon remains insufficient. In this review, we elucidated the physiological mechanisms governing plant midday depression, and summarized its variability. We further assessed current methodologies for evaluating and predicting plant midday depression. Additionally, we discuss recent advances in understanding the complex interactions between climate change drivers and midday depression, identifying persistent challenges in this research domain. This review aims to establish a foundational framework for future researchers and to elucidate the current scientific understanding. A comprehensive understanding of plant midday depression is essential for accurate prediction of terrestrial ecosystem carbon dynamics under evolving climatic conditions.

Key words: Photosynthetic rate, Bimodal diurnal curve, Climate change, Stomatal conductance, Carbon sequestration