Climate change has a measurable influence on the growing season of terrestrial vegetation at mid- and high latitudes (Myneni et al., 1997). Vegetation phenology is the seasonal biological life stage driven by environmental factors. It is considered as a sensitive and accurate indicator of climate change (Menzel and Fabian 1999; Piao et al., 2006). Vegetation phenology not only indicates climate change, but also imposes impacts on ecosystem functions and services, ecological and evolutionary interactions, regional and global cycling of carbon and water, nutrients, and energy budget and with societal consequences (e.g., Schwartz, 1998; Peñuelas and Filella, 2001; Barichivich et al., 2013; Richardson et al., 2018; Zhou et al.). Vegetation phenology in spring has substantially advanced under climate warming, consequently shifting the seasonality of ecosystem process and altering biosphere–atmosphere feedbacks (Meng et al., 2020).
At present, vegetation phenology is mainly monitored through ground-based observations and remote sensing measurements. The traditional ground-based observation usually records the specific phenological events of individuals in the community. The remote sensing method is usually carried out in a large range of spatial coverage to study the pattern of vegetation phenology. The phenological period of vegetation is sensitive to climatic conditions (Piao et al., 2011; Richardson et al., 2013; Shen et al., 2018). Study the changes of vegetation phenology and their responses is of great significance in understanding the relationships between vegetation and climate change (Shen et al., 2022).
The main purpose of this Research Topic is to reflect some recent progress in knowledge and understanding of vegetation phenology and its response to climate change. Published articles include those about phenological changes in some species and their responses to climate change. For example, Xiao et al. studied the Trends and climate response in the phenology of crops in Northeast China. The study found that the increases in mean temperature during past 3 decades have significantly shortened the growth period of the vegetative in general, and the main crops of maize, rice and soybean in Northeast China during 1981–2010, but had slight and inconsistent effects on reproductive growth period. Škvareninová and Mrekaj investigated the impact of climate change on Norway spruce flowering in the southern part of the Western Carpathians. The study suggested that the temperature impact on flowering showed an effect of the cold period preceding the onset of the phenological phase on its delayed onset.
Recent studies suggested that photoperiod regulates spring phenology by delaying early leaf-out and advancing late leaf-out caused by temperature variations (e.g., Meng et al., 2021). In this special issue, Chen et al. studied the Photoperiod and temperature as dominant environmental drivers triggering plant phenological development of American ginseng along with its quality formation. The study reported that American ginseng from higher latitude locations presented delayed spring phenology and advanced autumn phenology than those from lower latitude locations. Laigle et al. reported that in-situ temperature stations elucidate species' phenological responses to climate in the Alps, but meteorological and snow reanalysis facilitates broad scale and long-term studies. The article revealed the phenological responses of mountain tree species to climate variability, and indicated that the choice of dataset for phenological monitoring ultimately depends on target bioclimatic variables and species, and also on the spatial and temporal scale of the study. Kőrenová et al. questioned about Temperate alpine plants with distinct phenology more vulnerable to extraordinary climate events than their continuously flowering relatives in tropical mountains. The study concluded that tropical alpine species were least synchronized and flowering peaks of different individuals in their populations were distributed across many months. Higher synchronicity in flowering of temperate and subtropical alpine plants resulted even in some of those species used only a part of the short growing season to reproduce.
The other articles in this Research Topic discussed the responses of vegetation phenology to climate change and compare the effectiveness of different data products at detecting the phenological characteristics at a regional scale. Ju et al. studied Plant phenology and its anthropogenic and natural influencing factors in densely populated areas during the economic transition period of China. It reported that warming temperature increases the length of the vegetation growing season in most regions of China, while increased precipitation has the opposite effect. In exploration of new type of sensing technologies in vegetation monitoring, Wang et al. reported a study in Comparison of phenology estimated from monthly vegetation indices and solar-induced chlorophyll fluorescence (SIF) in China. The study suggested that SIF is suitable for estimating the phenological characteristics of vegetation regardless of different latitudes, elevation grades, and land cover types.
The research in vegetation phenology and response to climate change is important and continuously evolving. We hope that the contents of this special issue can contribute in a broad scope of explorations for improved understanding of vegetation phenology and the responses to climate change.
Statements
Author contributions
All authors listed have made a substantial, direct, and intellectual contribution to the work and approved it for publication.
Funding
XS is supported by Youth Innovation Promotion Association, Chinese Academy of Sciences (2019235).
Acknowledgments
We appreciate the contributions from all the authors, the reviewers and efforts from the editorial office that made this Research Topic possible.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.
References
1
BarichivichJ.BriffaK. R.MyneniR. B.OsbornT. J.MelvinT. M.CiaisP.et al (2013). Large-scale variations in the vegetation growing season and annual cycle of atmospheric CO2 at high northern latitudes from 1950 to 2011. Glob. Change Biol.19, 3167–3183. 10.1111/gcb.12283
2
MengL.ZhouY.GuL.RichardsonA. D.PeñuelasJ.FuY.et al (2021). Photoperiod decelerates the advance of spring phenology of six deciduous tree species under climate warming. Glob. Chang. Biol.27, 2914–2927. 10.1111/gcb.15575
3
MengL.ZhouY.LiaX.AsrarG. R.MaoJ.WanamakerA. D.Jr.et al (2020). Divergent responses of spring phenology to daytime and nighttime warming. Agr. For. Meteorol.281, 107832. 10.1016/j.agrformet.2019.107832
4
MenzelA.FabianP. (1999). Growing season extended in Europe. Nature397, 659. 10.1038/17709
5
MyneniR. B.KeelingC. D.TuckerC. J.AsrarG.NemaniR. R. (1997). Increased plant growth in the northern high latitudes from 1981 to 1991. Nature386, 698–702. 10.1038/386698a0
6
PeñuelasJ.FilellaI. (2001). Responses to a warming world. Science294, 793–795. 10.1126/science.1066860
7
PiaoS.CuiM.ChenA.WangX.CiaisP.LiuJ.et al (2011). Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau. Agric. For. Meteorol.151, 1599–1608. 10.1016/j.agrformet.2011.06.016
8
PiaoS.FangJ.ZhouL.CiaisP.ZhuB. (2006). Variations in satellite‐derived phenology in China’s temperate vegetation. Glob. Chang. Biol.12, 672–685. 10.1111/j.1365-2486.2006.01123.x
9
RichardsonA. D.HufkensK.MillimanT.AubrechtD. M.FurzeM. E.SeyednasrollahB.et al (2018). Ecosystem warming extends vegetation activity but heightens vulnerability to cold temperatures. Nature560, 368–371. 10.1038/s41586-018-0399-1
10
RichardsonA. D.KeenanT. F.MigliavaccaM.RyuY.SonnentagO.ToomeyM. (2013). Climate change, phenology, and phenological control of vegetation feedbacks to the climate system. Agric. For. Meteorol.169, 156–173. 10.1016/j.agrformet.2012.09.012
11
SchwartzM. D. (1998). Green-wave phenology. Nature394, 839–840. 10.1038/29670
12
ShenX.LiuB.HendersonM.WangL.JiangM.LuX. (2022). Vegetation greening, extended growing seasons, and temperature feedbacks in warming temperate grasslands of China. J. Clim.35, 5103–5117. 10.1175/JCLI-D-21-0325.1
13
ShenX.LiuB.HendersonM.WangL.WuZ.WuH.et al (2018). Asymmetric effects of daytime and nighttime warming on spring phenology in the temperate grasslands of China. Agric. For. Meteorol.259, 240–249. 10.1016/j.agrformet.2018.05.006
14
ZhouY. (2022). Understanding urban plant phenology for sustainable cities and planet. Nat. Clim. Chang.12, 302–304. 10.1038/s41558-022-01331-7
Summary
Keywords
vegetation, phenology, climate change, global change, response
Citation
Shen X, Wang Y and Liu B (2023) Editorial: Vegetation phenology and response to climate change. Front. Earth Sci. 10:985049. doi: 10.3389/feart.2022.985049
Received
03 July 2022
Accepted
24 October 2022
Published
13 January 2023
Volume
10 - 2022
Edited and reviewed by
Aureliano C. Malheiro, University of Trás-os-Montes and Alto Douro, Portugal
Updates
Copyright
© 2023 Shen, Wang and Liu.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Xiangjin Shen, shenxiangjin@iga.ac.cn
This article was submitted to Biogeoscience, a section of the journal Frontiers in Earth Science
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.