| Title | Plant phenology and global climate change: Current progresses and challenges |
| Authors | Piao, Shilong Liu, Qiang Chen, Anping Janssens, Ivan A. Fu, Yongshuo Dai, Junhu Liu, Lingli Lian, Xu Shen, Miaogen Zhu, Xiaolin |
| Affiliation | Peking Univ, Coll Urban & Environm Sci, Sino French Inst Earth Syst Sci, Beijing, Peoples R China Chinese Acad Sci, Inst Tibetan Plateau Res, Key Lab Alpine Ecol & Biodivers, Beijing, Peoples R China Chinese Acad Sci, Ctr Excellence Tibetan Earth Sci, Beijing, Peoples R China Colorado State Univ, Dept Biol, Ft Collins, CO 80523 USA Univ Antwerp, Dept Biol, Antwerp, Belgium Beijing Normal Univ, Coll Water Sci, Beijing, Peoples R China Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing, Peoples R China Chinese Acad Sci, Inst Bot, Beijing, Peoples R China Hong Kong Polytech Univ, Dept Land Surveying & Geoinformat, Kowloon, Hong Kong, Peoples R China |
| Keywords | climate change climatic feedback ecological implications leaf coloring leaf unfolding mechanisms and drivers phenological modeling plant phenology satellite-derived phenology |
| Issue Date | 2019 |
| Publisher | GLOBAL CHANGE BIOLOGY |
| 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. |
| URI | http://hdl.handle.net/20.500.11897/548025 |
| ISSN | 1354-1013 |
| DOI | 10.1111/gcb.14619 |
| Indexed | SCI(E) |
| Appears in Collections: | 城市与环境学院 |
