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Plant phenology and global climate change: Current progresses and challenges

TLDR
It is suggested that future studies should primarily focus on using new observation tools to improve the understanding of tropical plant phenology, on improving process-based phenology modeling, and on the scaling of phenology from species to landscape-level.
Abstract
Plant phenology, the annually recurring sequence of plant developmental stages, is important for plant functioning and ecosystem services and their biophysical and biogeochemical feedbacks to the climate system. Plant phenology depends on temperature, and the current rapid climate change has revived interest in understanding and modeling the responses of plant phenology to the warming trend and the consequences thereof for ecosystems. Here, we review recent progresses in plant phenology and its interactions with climate change. Focusing on the start (leaf unfolding) and end (leaf coloring) of plant growing seasons, we show that the recent rapid expansion in ground- and remote sensing- based phenology data acquisition has been highly beneficial and has supported major advances in plant phenology research. Studies using multiple data sources and methods generally agree on the trends of advanced leaf unfolding and delayed leaf coloring due to climate change, yet these trends appear to have decelerated or even reversed in recent years. Our understanding of the mechanisms underlying the plant phenology responses to climate warming is still limited. The interactions between multiple drivers complicate the modeling and prediction of plant phenology changes. Furthermore, changes in plant phenology have important implications for ecosystem carbon cycles and ecosystem feedbacks to climate, yet the quantification of such impacts remains challenging. We suggest that future studies should primarily focus on using new observation tools to improve the understanding of tropical plant phenology, on improving process-based phenology modeling, and on the scaling of phenology from species to landscape-level.

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This item is the archived peer-reviewed author-version of:
Plant phenology and global climate change: Current progresses and challenges
Reference:
Piao Shilong, Liu Qiang, Chen Anping, Janssens Ivan, Fu Yongshuo, Dai Junhu, Liu Lingli, Lian Xu, Shen Miaogen, Zhu Xiaolin.- Plant phenology and global climate
change: Current progresses and challenges
Global change biology - ISSN 1354-1013 - Hoboken, Wiley, 25:6(2019), p. 1922-1940
Full text (Publisher's DOI): https://doi.org/10.1111/GCB.14619
To cite this reference: https://hdl.handle.net/10067/1602900151162165141
Institutional repository IRUA

Accepted Article
This article has been accepted for publication and undergone full peer review but has not
been through the copyediting, typesetting, pagination and proofreading process, which may
lead to differences between this version and the Version of Record. Please cite this article as
doi: 10.1111/gcb.14619
This article is protected by copyright. All rights reserved.
DR. SHILONG PIAO (Orcid ID : 0000-0001-8057-2292)
DR. QIANG LIU (Orcid ID : 0000-0003-2332-2873)
DR. ANPING CHEN (Orcid ID : 0000-0003-2085-3863)
DR. YONGSHUO H FU (Orcid ID : 0000-0002-9761-5292)
DR. LINGLI LIU (Orcid ID : 0000-0002-5696-3151)
DR. MIAOGEN SHEN (Orcid ID : 0000-0001-5742-8807)
Article type : Invited Research Review
Title: Plant phenology and global climate change: current progresses and challenges
Running head: Plant phenology and global climate change
Shilong Piao
1,2,3*
, Qiang Liu
1
, Anping Chen
4
, Ivan A Janssens
5
, Yongshuo Fu
5,6
, Junhu Dai
7
,
Lingli Liu
8
, Xu Lian
1
,
Miaogen Shen
2,3
, Xiaolin Zhu
9

Accepted Article
This article is protected by copyright. All rights reserved.
1
Sino-French Institute for Earth System Science, College of Urban and Environmental
Sciences, Peking University, Beijing 100871, China
2
Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research,
Chinese Academy of Sciences, Beijing 100085, China
3
Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences, Beijing
100085, China
4
Department of Biology, Colorado State University, Fort Collins, CO 80523, USA
5
Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
6
College of Water Sciences, Beijing Normal University, Beijing 100875, China.
7
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographic Sciences
and Natural Resources Research, CAS, Beijing 100101, China
8
Institute of Botany, Chinese Academy of Sciences, Beijing 100093, China
9
Department of Land Surveying and Geo‐Informatics, The Hong Kong Polytechnic
University, Hung Hom, Kowloon, Hong Kong
Keywords: plant phenology, leaf unfolding, leaf coloring, satellite-derived phenology,
phenological modelling, mechanisms and drivers, ecological implications, climatic
feedback, climate change

Accepted Article
This article is protected by copyright. All rights reserved.
Revised Manuscript for
Global Change Biology
*Corresponding author: Shilong Piao, Tel: +86 10 6275 3298, Email:
slpiao@pku.edu.cn
Paper type: Research Review
Abstract
Plant phenology, the annually recurring sequence of plant developmental stages, is
important for plant functioning and ecosystem services and their biophysical and
biogeochemical feedbacks to the climate system. Plant phenology depends on
temperature, and the current rapid climate change has revived interest in
understanding and modelling the responses of plant phenology to the warming trend
and the consequences thereof for ecosystems. Here, we review recent progresses in
plant phenology and its interactions with climate change. Focusing on the start (leaf
unfolding) and end (leaf coloring) of plant growing seasons, we show that the recent
rapid expansion in ground- and remote sensing- based phenology data acquisition
has been highly beneficial and has supported major advances in plant phenology
research. Studies using multiple data sources and methods generally agree on the
trends of advanced leaf unfolding and delayed leaf coloring due to climate change,
yet these trends appear to have decelerated or even reversed in recent years. Our
understanding of the mechanisms underlying the plant phenology responses to
climate warming is still limited. The interactions between multiple drivers complicates

Accepted Article
This article is protected by copyright. All rights reserved.
the modelling and prediction of plant phenology changes. Furthermore, changes in
plant phenology have important implications for ecosystem carbon cycles and
ecosystem feedbacks to climate, yet the quantification of such impacts remains
challenging. We suggest that future studies should primarily focus on using new
observation tools to improve the understanding of tropical plant phenology, on
improving process-based phenology modelling, and on the scaling of phenology from
species to landscape-level.
1. Introduction
Phenology is the study of periodically recurring patterns of growth and development
of plants and animal behavior during the year (Lieth, 1974). This subject has a long
history that can be dated back to thousands of years ago when our ancestors realized
that the documentation of some recurring phenological phenomena could be useful
for the guidance of agricultural decisions. Over its long history, phenology has grown
from an empirical subject of observing and recording the timing of a few key annual
natural events for a handful of species to a comprehensive field that involves
expanded observations, experiments, and modelling. This long history can be roughly
divided into three major periods (Figure 1, Table S1). The first period (1300 B. C. E
around 17
th
century) was characterized with the identification of seasonal rhythms
that are important for arranging agricultural activities. Phenology during this period
was more like empirical descriptions of naturally reappearing phenomena of plants
and animals. The second period (17
th
century 1990s) marked the birth of phenology

Citations
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Intercomparison, interpretation, and assessment of spring phenology in North America estimated from remote sensing for 1982-2006 M I C H A E L A. W H I T E*, K I R S T E N M. DE BEURS w , K A M E L D I D A Nz, D AV I D W. I N O U Y E § ,

Allard De Wit, +1 more
TL;DR: In this paper, the authors assess 10 start-of-spring (SOS) methods for North America between 1982 and 2006 and find that SOS estimates were more related to the first leaf and first flowers expanding phenological stages.
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A generalized, bioclimatic index to predict foliar phenology in response to climate

TL;DR: In this paper, the authors search the literature for a common set of variables that might be combined into an index to quantify the greenness of vegetation throughout the year, such as daylength (photoperiod), evaporative demand (vapor pressure deficit), and suboptimal (minimum) temperatures.

Modelling interannual and spatial variability of leaf senescence for three deciduous tree species in France

TL;DR: In this paper, the authors developed a new modelling framework aimed at predicting the spatial and year-to-year variability of leaf colouring in European beech and oak (Fagus sylvatica L., Quercus petraea (Matt.) Liebl. and Quercicus robur L.).
References
More filters
Journal ArticleDOI

European phenological response to climate change matches the warming pattern

TL;DR: In this article, the authors used an enormous systematic phenological network data set of more than 125 000 observational series of 542 plant and 19 animal species in 21 European countries (1971-2000) and concluded that previously published results of phenological changes were not biased by reporting or publication predisposition.
Journal ArticleDOI

An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data

TL;DR: In this article, the NDVI 8-km equal area dataset from July 1981 through December 2004 for all continents except Antarctica was used to produce a Normalized Difference Vegetation Index (NDVI) 8.
Journal ArticleDOI

Monitoring vegetation phenology using MODIS

TL;DR: In this article, a new methodology to monitor global vegetation phenology from time series of satellite data is presented, which uses series of piecewise logistic functions, which are fit to remotely sensed vegetation index (VI) data, to represent intra-annual vegetation dynamics.
Journal ArticleDOI

Global change and species interactions in terrestrial ecosystems.

TL;DR: It is concluded that in order to reliably predict the effects of GEC on community and ecosystem processes, the greatest single challenge will be to determine how biotic and abiotic context alters the direction and magnitude of G EC effects on biotic interactions.
Journal ArticleDOI

A dynamic global vegetation model for studies of the coupled atmosphere-biosphere system

Abstract: This work presents a new dynamic global vegetation model designed as an extension of an existing surface-vegetation-atmosphere transfer scheme which is included in a coupled ocean-atmosphere general circulation model. The new dynamic global vegetation model simulates the principal processes of the continental biosphere influencing the global carbon cycle (photosynthesis, autotrophic and heterotrophic respiration of plants and in soils, fire, etc.) as well as latent, sensible, and kinetic energy exchanges at the surface of soils and plants. As a dynamic vegetation model, it explicitly represents competitive processes such as light competition, sapling establishment, etc. It can thus be used in simulations for the study of feedbacks between transient climate and vegetation cover changes, but it can also be used with a prescribed vegetation distribution. The whole seasonal phenological cycle is prognostically calculated without any prescribed dates or use of satellite data. The model is coupled to the IPSL-CM4 coupled atmosphere-ocean-vegetation model. Carbon and surface energy fluxes from the coupled hydrology-vegetation model compare well with observations at FluxNet sites. Simulated vegetation distribution and leaf density in a global simulation are evaluated against observations, and carbon stocks and fluxes are compared to available estimates, with satisfying results.
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Here, the authors review recent progresses in plant phenology and its interactions with climate change. Focusing on the start ( leaf unfolding ) and end ( leaf coloring ) of plant growing seasons, the authors show that the recent rapid expansion in groundand remote sensingbased phenology data acquisition has been highly beneficial and has supported major advances in plant phenology research. The interactions between multiple drivers complicates A cc ep te d A rt ic le This article is protected by copyright. The authors suggest that future studies should primarily focus on using new observation tools to improve the understanding of tropical plant phenology, on improving process-based phenology modelling, and on the scaling of phenology from species to landscape-level. Furthermore, changes in plant phenology have important implications for ecosystem carbon cycles and ecosystem feedbacks to climate, yet the quantification of such impacts remains challenging. 

For Europe, leaf unfolding (i.e. first visible leaf stalk, a) and leaf senescence (i.e. 50% of autumnal coloring, b) were extracted from the Pan European Phenological Database (PEP725, http://www.pep725.eu/). 

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