Vegetation phenology and its ecohydrological implications from individual to global scales

被引:19
作者
Chen, Shouzhi [1 ]
Fu, Yongshuo H. [1 ]
Hao, Fanghua [2 ]
Li, Xiaoyan [3 ]
Zhou, Sha [3 ]
Liu, Changming [1 ,4 ]
Tang, Jing [5 ,6 ]
机构
[1] Beijing Normal Univ, Coll Water Sci, Beijing 100875, Peoples R China
[2] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China
[3] Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing 100875, Peoples R China
[4] Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Terr Water Cycle & Land Surface Proc, Beijing 100101, Peoples R China
[5] Lund Univ, Dept Phys Geog & Ecosyst Sci, Solvegatan 12, SE-22362 Lund, Sweden
[6] Univ Copenhagen, Terr Ecol Sect, Dept Biol, DK-2100 Copenhagen, Denmark
关键词
Global warming; Marcophenology; Carbon balance; Ecohydrology; CLIMATE; FOREST; FEEDBACKS; SWAT; PARAMETERIZATION; GROWTH;
D O I
10.1016/j.geosus.2022.10.002
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
The Earth is experiencing unprecedented climate change. Vegetation phenology has already showed strong response to the global warming, which alters mass and energy fluxes on terrestrial ecosystems. With technology and method developments in remote sensing, computer science and citizen science, many recent phenology-related studies have been focused on macrophenology. In this perspective, we 1) reviewed the responses of vegetation phenology to climate change and its impacts on carbon cycling, and reported that the effect of shifted phenology on the terrestrial carbon fluxes is substantially different between spring and autumn; 2) elaborated how vegetation phenology affects ecohydrological processes at different scales, and further listed the key issues for each scale, i.e., focusing on seasonal effect, local feedbacks and regional vapor transport for individual, watershed and global respectively); 3) envisioned the potentials to improve current hydrological models by coupling vegetation phenology-related processes, in combining with machine learning, deep learning and scale transformation methods. We propose that comprehensive understanding of climate-macrophenology-hydrology interactions are essential and urgently needed for enhancing our understanding of the ecosystem response and its role in hydrological cycle under future climate change.
引用
收藏
页码:334 / 338
页数:5
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