Vegetation phenology and its ecohydrological implications from individual to global scales
作者机构:College of Water SciencesBeijing Normal UniversityBeijing 100875China College of Urban and Environmental SciencesCentral China Normal UniversityWuhan 430079China State Key Laboratory of Earth Surface Processes and Resource EcologyFaculty of Geographical ScienceBeijing Normal UniversityBeijing 100875China Key Laboratory of Terrestrial Water Cycle and Land Surface ProcessesInstitute of Geographic Sciences and Natural Resources ResearchCASBeijing 100101China Department of Physical Geography and Ecosystem ScienceLund UniversitySölvegatan 12SE-22362LundSweden Terrestrial Ecology SectionDepartment of BiologyUniversity of CopenhagenCopenhagen DK-2100Denmark
出 版 物:《Geography and Sustainability》 (地理学与可持续性(英文))
年 卷 期:2022年第3卷第4期
页 面:334-338页
学科分类:09[农学] 0903[农学-农业资源与环境]
基 金:the National Science Fund for Distinguished Young Scholars(Grant No.42025101) International Cooperation and Exchanges NSFC-STINT(Grant No.42111530181)
主 题:Global warming Marcophenology Carbon balance Ecohydrology
摘 要:The Earth is experiencing unprecedented climate *** phenology has already showed strong response to the global warming,which alters mass and energy fluxes on terrestrial *** technology and method developments in remote sensing,computer science and citizen science,many recent phenology-related studies have been focused on *** 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 *** 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.