Dataset.
Data on: Winter warming offset one half of the spring warming effects on leaf unfolding
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/276381
Digital.CSIC. Repositorio Institucional del CSIC
- Wang, Huanjiong
- Dai, Junhu
- Peñuelas, Josep
- Ge, Quansheng
- Fu, Yongshuo H.
- Wu, Chaoyang
[Methods See the Materials and methods section in the original paper., [Usage Notes] Microsoft Excel are required to open the data files., This dataset is the data used to create figures in paper of Global change biology entitled "Data on Winter warming offset one half of the spring warming effects on leaf unfolding", we constructed a phenological model based on the linear or exponential function between the chilling accumulation (CA) and forcing requirements (FR) of leaf-out. We further used the phenological model to quantify the relative contributions of chilling and forcing on past and future spring phenological change. The results showed that the delaying effect of decreased chilling on the leaf-out date was prevalent in natural conditions, as more than 99% of time series exhibited a negative relationship between CA and FR. The reduction in chilling linked to winter warming from 1951-2014 could offset about one half of the spring phenological advance caused by the increase in forcing. In future warming scenarios, if the same model is used and a linear, stable correlation between CA and FR is assumed, declining chilling will continuously offset the advance of leaf-out to a similar degree. Our study stresses the importance of assessing the antagonistic effects of winter and spring warming on leaf-out phenology., National Key R&D Program of China, Award: 2018YFA0606102. National Natural Science Foundation of China, Award: 41871032. Youth Innovation Promotion Association, CAS, Award: 2018070. National Natural Science Foundation of China, Award: 42125101., Peer reviewed
DOI: http://hdl.handle.net/10261/276381
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/276381
HANDLE: http://hdl.handle.net/10261/276381
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/276381
Ver en: http://hdl.handle.net/10261/276381
Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/276381
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Digital.CSIC. Repositorio Institucional del CSIC
oai:digital.csic.es:10261/276381
Dataset. 2022
DATA ON: WINTER WARMING OFFSET ONE HALF OF THE SPRING WARMING EFFECTS ON LEAF UNFOLDING
Digital.CSIC. Repositorio Institucional del CSIC
- Wang, Huanjiong
- Dai, Junhu
- Peñuelas, Josep
- Ge, Quansheng
- Fu, Yongshuo H.
- Wu, Chaoyang
[Methods See the Materials and methods section in the original paper., [Usage Notes] Microsoft Excel are required to open the data files., This dataset is the data used to create figures in paper of Global change biology entitled "Data on Winter warming offset one half of the spring warming effects on leaf unfolding", we constructed a phenological model based on the linear or exponential function between the chilling accumulation (CA) and forcing requirements (FR) of leaf-out. We further used the phenological model to quantify the relative contributions of chilling and forcing on past and future spring phenological change. The results showed that the delaying effect of decreased chilling on the leaf-out date was prevalent in natural conditions, as more than 99% of time series exhibited a negative relationship between CA and FR. The reduction in chilling linked to winter warming from 1951-2014 could offset about one half of the spring phenological advance caused by the increase in forcing. In future warming scenarios, if the same model is used and a linear, stable correlation between CA and FR is assumed, declining chilling will continuously offset the advance of leaf-out to a similar degree. Our study stresses the importance of assessing the antagonistic effects of winter and spring warming on leaf-out phenology., National Key R&D Program of China, Award: 2018YFA0606102. National Natural Science Foundation of China, Award: 41871032. Youth Innovation Promotion Association, CAS, Award: 2018070. National Natural Science Foundation of China, Award: 42125101., Peer reviewed
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