globalchange  > 全球变化的国际研究计划
DOI: 10.1016/j.agrformet.2019.05.011
WOS记录号: WOS:000480376400012
论文题名:
New model for simulating autumn phenology of herbaceous plants in the Inner Mongolian Grassland
作者: Ren, Shilong; Qin, Qiming; Ren, Huazhong; Sui, Juan; Zhang, Yao
通讯作者: Qin, Qiming
刊名: AGRICULTURAL AND FOREST METEOROLOGY
ISSN: 0168-1923
EISSN: 1873-2240
出版年: 2019
卷: 275, 页码:136-145
语种: 英语
英文关键词: Autumn phenology ; Grassland vegetation ; Phenological model ; Climate change ; Drought stress ; Herbaceous plants
WOS关键词: CLIMATE-CHANGE ; NORTHERN-HEMISPHERE ; LEAF SENESCENCE ; WATER-STRESS ; RESPONSES ; PHOTOSYNTHESIS ; PRECIPITATION ; PRODUCTIVITY ; FEEDBACKS ; PREDICT
WOS学科分类: Agronomy ; Forestry ; Meteorology & Atmospheric Sciences
WOS研究方向: Agriculture ; Forestry ; Meteorology & Atmospheric Sciences
英文摘要:

Autumn phenology is important in determining the growing season length and controlling carbon and energy exchanges in terrestrial ecosystems. However, our knowledge on the interaction processes of vegetation autumn phenology and climate changes remains limited, especially for herbaceous plants. In this study, we comprehensively analyzed the responses of autumn phenology of grassland vegetation to climate changes by using ground-observed brown-down date records of 15 grass species and daily temperature, precipitation, and day length data at six stations. Aside from conducting correlation analysis, we also simulated the brown-down date with a newly developed model by incorporating the effect of drought stress (CDDP) into the traditional chilling-degree-days (CDD) model and compared it with the CDD model. Another revised CDD model included the effect of day length (CDDD) and null model (multiyear average, NM). The statistical results showed a predominant significant negative correlation between the brown-down date and previous temperature/day length in 27.3%/40.9% of site species but a predominant significant positive correlation between the brown-down date and previous precipitation in 54.6% of site species. The opposite effects of previous precipitation and previous temperature/day length on the brown-down date were induced by local thermal moisture conditions. With regard to the modeling results, the CDDP model was selected as the optimal model for 73% of site species with insufficient water supply in preseason, while the CDD model was selected as the optimal model for 18% of site species with a relatively wet but cold preseason. The CDDD model was selected as the optimal model for only two cases. The average estimation error based on the CDDP model (7.4 days) was lower by 2.0/1.5/1.7 days than that based on the CDD/CDDD/NM model. Overall, this study comprehensively demonstrated the important role of water availability in controlling the autumn phenology process of herbaceous plants.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/147001
Appears in Collections:全球变化的国际研究计划

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作者单位: Peking Univ, Sch Earth & Space Sci, Inst Remote Sensing & Geog Informat Syst, Beijing 100871, Peoples R China

Recommended Citation:
Ren, Shilong,Qin, Qiming,Ren, Huazhong,et al. New model for simulating autumn phenology of herbaceous plants in the Inner Mongolian Grassland[J]. AGRICULTURAL AND FOREST METEOROLOGY,2019-01-01,275:136-145
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