Growth Onset Rather Than Photosynthesis Strongly Regulates Autumn Senescence Termination Besides Climate Change Article Swipe
Shuping Ji
,
Shilong Ren
,
Yann Vitasse
,
Constantin M. Zohner
,
Yongshuo H. Fu
,
Xiaoqiu Chen
,
Xiaoyang Zhang
,
Charlotte Grossiord
,
Huiying Liu
,
Matthias Peichl
,
Dailiang Peng
,
Shuai An
,
Yating Li
,
Mai–He Li
,
Lei Fang
,
Jinyue Chen
,
Xinfeng Wang
,
Qingzhu Zhang
,
Guoqiang Wang
,
Qiao Wang
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1111/geb.70068
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.1111/geb.70068
Aim Plant senescence largely influences the global carbon cycle by regulating the growing season length. However, the driving mechanisms of plant senescence remain unclear, particularly the role of developmental factors. This study aims to investigate how environmental and developmental factors drive autumn senescence and evaluate whether woody and herbaceous plants exhibit divergent responses to these drivers. Location Eurasia. Time Period 1982–2014. Major Taxa Studied Woody and herbaceous species. Methods Using 120,833 long‐term ground phenological observations, we employed partial correlation analysis to investigate the influence of environmental and developmental factors on senescence termination. Experimental records from literature and pasture survey observations from China were separately utilised to further validate the influence of developmental factors on senescence termination. Structural equation modelling was applied to analyse the pathways of growth onset affecting senescence termination. Additionally, multiple linear regression was used to examine the tendency of the sensitivity of senescence termination to plant development rate. Results We find that earlier growth onset primarily leads to earlier senescence termination directly in herbaceous plants, but indirectly in woody plants by accelerating early‐season development. The sensitivity of senescence termination to plant development rate shows a declining trend, particularly in early‐season negative effects on woody plants and late‐season positive effects on herbaceous plants, suggesting diminished impacts of future warming on senescence timing. The impact of growing season photosynthetic activity on senescence termination is not pronounced for both woody and herbaceous plants. Main Conclusions The results demonstrate that growth onset may affect woody and herbaceous senescence termination through different pathways, whereas the carry‐over effects of growing season photosynthetic activity are not widely discovered. This emphasises that the introduction of developmental factors into phenological models needs to be considered carefully according to plant type.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/geb.70068
- OA Status
- hybrid
- References
- 48
- Related Works
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- OpenAlex ID
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All OpenAlex metadata
Raw OpenAlex JSON
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https://openalex.org/W4410752818Canonical identifier for this work in OpenAlex
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https://doi.org/10.1111/geb.70068Digital Object Identifier
- Title
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Growth Onset Rather Than Photosynthesis Strongly Regulates Autumn Senescence Termination Besides Climate ChangeWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
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2025Year of publication
- Publication date
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2025-05-01Full publication date if available
- Authors
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Shuping Ji, Shilong Ren, Yann Vitasse, Constantin M. Zohner, Yongshuo H. Fu, Xiaoqiu Chen, Xiaoyang Zhang, Charlotte Grossiord, Huiying Liu, Matthias Peichl, Dailiang Peng, Shuai An, Yating Li, Mai–He Li, Lei Fang, Jinyue Chen, Xinfeng Wang, Qingzhu Zhang, Guoqiang Wang, Qiao WangList of authors in order
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https://doi.org/10.1111/geb.70068Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1111/geb.70068Direct OA link when available
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Senescence, Climate change, Ecology, Photosynthesis, Biology, Botany, Cell biologyTop concepts (fields/topics) attached by OpenAlex
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0Total citation count in OpenAlex
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| abstract_inverted_index.rate. | 151 |
| abstract_inverted_index.shows | 187 |
| abstract_inverted_index.study | 32 |
| abstract_inverted_index.these | 55 |
| abstract_inverted_index.type. | 284 |
| abstract_inverted_index.woody | 47, 172, 197, 230, 244 |
| abstract_inverted_index.Period | 60 |
| abstract_inverted_index.affect | 243 |
| abstract_inverted_index.autumn | 42 |
| abstract_inverted_index.carbon | 8 |
| abstract_inverted_index.future | 210 |
| abstract_inverted_index.global | 7 |
| abstract_inverted_index.ground | 73 |
| abstract_inverted_index.growth | 127, 157, 240 |
| abstract_inverted_index.impact | 216 |
| abstract_inverted_index.linear | 134 |
| abstract_inverted_index.models | 275 |
| abstract_inverted_index.plants | 50, 173, 198 |
| abstract_inverted_index.remain | 23 |
| abstract_inverted_index.season | 14, 219, 258 |
| abstract_inverted_index.survey | 99 |
| abstract_inverted_index.trend, | 190 |
| abstract_inverted_index.widely | 263 |
| abstract_inverted_index.120,833 | 71 |
| abstract_inverted_index.Methods | 69 |
| abstract_inverted_index.Results | 152 |
| abstract_inverted_index.Studied | 64 |
| abstract_inverted_index.analyse | 123 |
| abstract_inverted_index.applied | 121 |
| abstract_inverted_index.driving | 18 |
| abstract_inverted_index.earlier | 156, 162 |
| abstract_inverted_index.effects | 195, 202, 255 |
| abstract_inverted_index.examine | 139 |
| abstract_inverted_index.exhibit | 51 |
| abstract_inverted_index.factors | 40, 89, 113, 272 |
| abstract_inverted_index.further | 107 |
| abstract_inverted_index.growing | 13, 218, 257 |
| abstract_inverted_index.impacts | 208 |
| abstract_inverted_index.largely | 4 |
| abstract_inverted_index.length. | 15 |
| abstract_inverted_index.partial | 78 |
| abstract_inverted_index.pasture | 98 |
| abstract_inverted_index.plants, | 168, 205 |
| abstract_inverted_index.plants. | 233 |
| abstract_inverted_index.records | 94 |
| abstract_inverted_index.results | 237 |
| abstract_inverted_index.through | 249 |
| abstract_inverted_index.timing. | 214 |
| abstract_inverted_index.warming | 211 |
| abstract_inverted_index.whereas | 252 |
| abstract_inverted_index.whether | 46 |
| abstract_inverted_index.ABSTRACT | 0 |
| abstract_inverted_index.Eurasia. | 58 |
| abstract_inverted_index.However, | 16 |
| abstract_inverted_index.Location | 57 |
| abstract_inverted_index.activity | 221, 260 |
| abstract_inverted_index.analysis | 80 |
| abstract_inverted_index.directly | 165 |
| abstract_inverted_index.drivers. | 56 |
| abstract_inverted_index.employed | 77 |
| abstract_inverted_index.equation | 118 |
| abstract_inverted_index.evaluate | 45 |
| abstract_inverted_index.factors. | 30 |
| abstract_inverted_index.multiple | 133 |
| abstract_inverted_index.negative | 194 |
| abstract_inverted_index.pathways | 125 |
| abstract_inverted_index.positive | 201 |
| abstract_inverted_index.species. | 68 |
| abstract_inverted_index.tendency | 141 |
| abstract_inverted_index.unclear, | 24 |
| abstract_inverted_index.utilised | 105 |
| abstract_inverted_index.validate | 108 |
| abstract_inverted_index.according | 281 |
| abstract_inverted_index.affecting | 129 |
| abstract_inverted_index.carefully | 280 |
| abstract_inverted_index.declining | 189 |
| abstract_inverted_index.different | 250 |
| abstract_inverted_index.divergent | 52 |
| abstract_inverted_index.influence | 84, 110 |
| abstract_inverted_index.modelling | 119 |
| abstract_inverted_index.pathways, | 251 |
| abstract_inverted_index.primarily | 159 |
| abstract_inverted_index.responses | 53 |
| abstract_inverted_index.Structural | 117 |
| abstract_inverted_index.considered | 279 |
| abstract_inverted_index.diminished | 207 |
| abstract_inverted_index.emphasises | 266 |
| abstract_inverted_index.herbaceous | 49, 67, 167, 204, 232, 246 |
| abstract_inverted_index.indirectly | 170 |
| abstract_inverted_index.influences | 5 |
| abstract_inverted_index.literature | 96 |
| abstract_inverted_index.mechanisms | 19 |
| abstract_inverted_index.pronounced | 227 |
| abstract_inverted_index.regression | 135 |
| abstract_inverted_index.regulating | 11 |
| abstract_inverted_index.senescence | 3, 22, 43, 91, 115, 130, 146, 163, 181, 213, 223, 247 |
| abstract_inverted_index.separately | 104 |
| abstract_inverted_index.suggesting | 206 |
| abstract_inverted_index.Conclusions | 235 |
| abstract_inverted_index.correlation | 79 |
| abstract_inverted_index.demonstrate | 238 |
| abstract_inverted_index.development | 150, 185 |
| abstract_inverted_index.discovered. | 264 |
| abstract_inverted_index.investigate | 35, 82 |
| abstract_inverted_index.long‐term | 72 |
| abstract_inverted_index.sensitivity | 144, 179 |
| abstract_inverted_index.termination | 147, 164, 182, 224, 248 |
| abstract_inverted_index.1982–2014. | 61 |
| abstract_inverted_index.Experimental | 93 |
| abstract_inverted_index.accelerating | 175 |
| abstract_inverted_index.carry‐over | 254 |
| abstract_inverted_index.development. | 177 |
| abstract_inverted_index.introduction | 269 |
| abstract_inverted_index.observations | 100 |
| abstract_inverted_index.particularly | 25, 191 |
| abstract_inverted_index.phenological | 74, 274 |
| abstract_inverted_index.termination. | 92, 116, 131 |
| abstract_inverted_index.Additionally, | 132 |
| abstract_inverted_index.developmental | 29, 39, 88, 112, 271 |
| abstract_inverted_index.environmental | 37, 86 |
| abstract_inverted_index.late‐season | 200 |
| abstract_inverted_index.observations, | 75 |
| abstract_inverted_index.early‐season | 176, 193 |
| abstract_inverted_index.photosynthetic | 220, 259 |
| cited_by_percentile_year | |
| countries_distinct_count | 4 |
| institutions_distinct_count | 20 |
| citation_normalized_percentile.value | 0.20177808 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |