Yutian Lu , Lijuan Miao , Evgenios Agathokleous , Guojie Wang , Dong Wang , Hanyang Jiang , Xiaowei Chuai , Qiang Liu
{"title":"Delayed senescence end prolongs leaf senescence duration in temperate China","authors":"Yutian Lu , Lijuan Miao , Evgenios Agathokleous , Guojie Wang , Dong Wang , Hanyang Jiang , Xiaowei Chuai , Qiang Liu","doi":"10.1016/j.agrformet.2025.110938","DOIUrl":null,"url":null,"abstract":"<div><div>Vegetation leaf senescence serves as a pivotal biogeochemical process regulating carbon, water, and energy exchanges between terrestrial ecosystems and the atmosphere. Despite considerable research attention on the end of leaf senescence (T<sub>LSD</sub>), its onset (T<sub>LSO</sub>) and duration (D<sub>LS</sub>) remain poorly understood, limiting our ability to predict autumn phenological dynamics. Here, using four phenological extraction methods, we analyzed the trends in T<sub>LSO</sub>, T<sub>LSD</sub>, and D<sub>LS</sub> across temperate China from 2001 to 2023, along with their climatic and physiological drivers. Our results revealed widespread delays in T<sub>LSD</sub> (0.32 ± 0.13 days/year) and T<sub>LSO</sub> (0.10 ± 0.16 days/year), leading to a prolonged D<sub>LS</sub> (0.21 ± 0.17 days/year). Notably, D<sub>LS</sub> variations were predominantly controlled by shifts in T<sub>LSD</sub> rather than T<sub>LSO</sub>, except in water-limited grasslands and cold-adapted deciduous needleleaf forests. Our analysis revealed that T<sub>LSD</sub> showed stronger climate sensitivity than T<sub>LSO</sub>, with temperature as the dominant control. Most remarkably, we uncovered a persistent, intrinsic relationship wherein T<sub>LSO</sub> constrains T<sub>LSD</sub>, independent of external climatic influences. These results suggest that existing climate-driven phenology models likely underestimate autumn phenological responses by neglecting these intrinsic plant physiological controls. Our study highlights the necessities to integrate both internal regulatory mechanisms (particularly T<sub>LSO</sub>-T<sub>LSD</sub> linkages) and external environmental drivers to achieve more accurate predictions of vegetation responses to ongoing climate change.</div></div>","PeriodicalId":50839,"journal":{"name":"Agricultural and Forest Meteorology","volume":"377 ","pages":"Article 110938"},"PeriodicalIF":5.7000,"publicationDate":"2026-02-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Agricultural and Forest Meteorology","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S016819232500557X","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/11/25 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"AGRONOMY","Score":null,"Total":0}
引用次数: 0
Abstract
Vegetation leaf senescence serves as a pivotal biogeochemical process regulating carbon, water, and energy exchanges between terrestrial ecosystems and the atmosphere. Despite considerable research attention on the end of leaf senescence (TLSD), its onset (TLSO) and duration (DLS) remain poorly understood, limiting our ability to predict autumn phenological dynamics. Here, using four phenological extraction methods, we analyzed the trends in TLSO, TLSD, and DLS across temperate China from 2001 to 2023, along with their climatic and physiological drivers. Our results revealed widespread delays in TLSD (0.32 ± 0.13 days/year) and TLSO (0.10 ± 0.16 days/year), leading to a prolonged DLS (0.21 ± 0.17 days/year). Notably, DLS variations were predominantly controlled by shifts in TLSD rather than TLSO, except in water-limited grasslands and cold-adapted deciduous needleleaf forests. Our analysis revealed that TLSD showed stronger climate sensitivity than TLSO, with temperature as the dominant control. Most remarkably, we uncovered a persistent, intrinsic relationship wherein TLSO constrains TLSD, independent of external climatic influences. These results suggest that existing climate-driven phenology models likely underestimate autumn phenological responses by neglecting these intrinsic plant physiological controls. Our study highlights the necessities to integrate both internal regulatory mechanisms (particularly TLSO-TLSD linkages) and external environmental drivers to achieve more accurate predictions of vegetation responses to ongoing climate change.
期刊介绍:
Agricultural and Forest Meteorology is an international journal for the publication of original articles and reviews on the inter-relationship between meteorology, agriculture, forestry, and natural ecosystems. Emphasis is on basic and applied scientific research relevant to practical problems in the field of plant and soil sciences, ecology and biogeochemistry as affected by weather as well as climate variability and change. Theoretical models should be tested against experimental data. Articles must appeal to an international audience. Special issues devoted to single topics are also published.
Typical topics include canopy micrometeorology (e.g. canopy radiation transfer, turbulence near the ground, evapotranspiration, energy balance, fluxes of trace gases), micrometeorological instrumentation (e.g., sensors for trace gases, flux measurement instruments, radiation measurement techniques), aerobiology (e.g. the dispersion of pollen, spores, insects and pesticides), biometeorology (e.g. the effect of weather and climate on plant distribution, crop yield, water-use efficiency, and plant phenology), forest-fire/weather interactions, and feedbacks from vegetation to weather and the climate system.