Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate Change
Based on the phenological data from China Phenological Observation Network, we compiled the phenological calendars of 3 phenological observation stations (Shanghai, Nanjing, and Hefei) in East China for 1987–1996 and 2003–2012 according to the sequences of mean phenophases. We calculated the correla...
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| Format: | Article |
| Language: | English |
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Wiley
2016-01-01
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| Series: | Advances in Meteorology |
| Online Access: | http://dx.doi.org/10.1155/2016/9546380 |
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| author | Fengyi Zheng Zexing Tao Yachen Liu Yunjia Xu Junhu Dai Quansheng Ge |
| author_facet | Fengyi Zheng Zexing Tao Yachen Liu Yunjia Xu Junhu Dai Quansheng Ge |
| author_sort | Fengyi Zheng |
| collection | DOAJ |
| description | Based on the phenological data from China Phenological Observation Network, we compiled the phenological calendars of 3 phenological observation stations (Shanghai, Nanjing, and Hefei) in East China for 1987–1996 and 2003–2012 according to the sequences of mean phenophases. We calculated the correlated coefficient and the root mean square error (RMSE) between phenophases and the beginning of meteorological seasons to determine the beginning date of phenological season. By comparing new phenological calendars with the old ones, we discussed the variation of phenophases and their responses to temperature. The conclusions are as follows. (1) The beginning dates of spring and summer advanced, while those of autumn and winter delayed. Thus, summers got longer and winters got shorter. (2) The beginning time of the four phenological seasons was advancing during 1987–1996, while it was delaying during 2003–2012. (3) Most spring and summer phenophases occur earlier and most autumn and winter phenophases occur later in 2003–2012 than in 1987–1996. (4) The beginning time of phenological seasons was significantly correlated with temperature. The phenological sensitivities to temperature ranged from −6.49 to −6.55 days/°C in spring, −3.65 to −5.02 days/°C in summer, 8.13 to 10.27 days/°C in autumn, and 4.76 to 10.00 days/°C in winter. |
| format | Article |
| id | doaj-art-410d9b8ec1b34dcba1843fc9dee8a250 |
| institution | OA Journals |
| issn | 1687-9309 1687-9317 |
| language | English |
| publishDate | 2016-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Advances in Meteorology |
| spelling | doaj-art-410d9b8ec1b34dcba1843fc9dee8a2502025-08-20T02:07:51ZengWileyAdvances in Meteorology1687-93091687-93172016-01-01201610.1155/2016/95463809546380Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate ChangeFengyi Zheng0Zexing Tao1Yachen Liu2Yunjia Xu3Junhu Dai4Quansheng Ge5Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaKey Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaBased on the phenological data from China Phenological Observation Network, we compiled the phenological calendars of 3 phenological observation stations (Shanghai, Nanjing, and Hefei) in East China for 1987–1996 and 2003–2012 according to the sequences of mean phenophases. We calculated the correlated coefficient and the root mean square error (RMSE) between phenophases and the beginning of meteorological seasons to determine the beginning date of phenological season. By comparing new phenological calendars with the old ones, we discussed the variation of phenophases and their responses to temperature. The conclusions are as follows. (1) The beginning dates of spring and summer advanced, while those of autumn and winter delayed. Thus, summers got longer and winters got shorter. (2) The beginning time of the four phenological seasons was advancing during 1987–1996, while it was delaying during 2003–2012. (3) Most spring and summer phenophases occur earlier and most autumn and winter phenophases occur later in 2003–2012 than in 1987–1996. (4) The beginning time of phenological seasons was significantly correlated with temperature. The phenological sensitivities to temperature ranged from −6.49 to −6.55 days/°C in spring, −3.65 to −5.02 days/°C in summer, 8.13 to 10.27 days/°C in autumn, and 4.76 to 10.00 days/°C in winter.http://dx.doi.org/10.1155/2016/9546380 |
| spellingShingle | Fengyi Zheng Zexing Tao Yachen Liu Yunjia Xu Junhu Dai Quansheng Ge Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate Change Advances in Meteorology |
| title | Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate Change |
| title_full | Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate Change |
| title_fullStr | Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate Change |
| title_full_unstemmed | Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate Change |
| title_short | Variation of Main Phenophases in Phenological Calendar in East China and Their Response to Climate Change |
| title_sort | variation of main phenophases in phenological calendar in east china and their response to climate change |
| url | http://dx.doi.org/10.1155/2016/9546380 |
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