Contrasting responses of autumn-leaf senescence to daytime and night-time warming

Wu, Chaoyang; Wang, Xiaoyue; Wang, Huanjiong; Ciais, Philippe; Peñuelas, Josep; Myneni, Ranga B.; Desai, Ankur R.; Gough, Christopher M.; Gonsamo, Alemu; Black, Andrew; Jassal, Rachhpal S.; Ju, Weimin; Yuan, Wenping; Fu, Yongshuo H.; Shen, Miaogen; Li, Shihua; Liu, Ronggao; Chen, Jing M.; Ge, Quansheng

doi:10.1038/s41558-018-0346-z

Cited by 188 publications

(143 citation statements)

References 49 publications

Supporting

Mentioning

128

Contrasting

Unclassified

Order By: Relevance

“…is is in accordance with previous studies [16,36]. However, the contribution of mean temperature to LCS variability is low when compared to spring phenology [30], with nonsignificant correlation existing between the mean temperature and LCS variability in most cases, particularly at Mudanjiang, Minqin, and Shenyang. As previous studies suggested, the night temperature has a predominant effect on the leaf coloring date for some deciduous trees [27,37].…”

Section: Discussionsupporting

confidence: 92%

“…Some studies argued that the effect of temperature difference between day and night on autumn phenology was underestimated, since temperature difference above 15°C was propitious to color presentation of leaves [20,26]. In addition, minimum temperature was also suggested as an influencing factor of autumn phenology that lower autumn minimum temperature would result in earlier leaf coloring date [27][28][29][30]. Although other environmental factors, such as precipitation, photoperiod, and insolation, would also influence autumn phenology through affecting the formation of leaf abscission meristems and plant carboxylation reaction [31], they were more likely to only constrain the temperature-induced changes.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Divergent Response of Leaf Coloring Seasons to Temperature Change in Northern China over the Past 50 Years

Tao

Dai

et al. 2019

Advances in Meteorology

Self Cite

View full text Add to dashboard Cite

Autumn phenology plays a critical role in terrestrial ecosystem circulations. However, the changes in autumn phenology and their correlation with temperature remain uncertain because mean temperature alone was not able to determine the changes in autumn phenology at various sites. Here, the leaf coloring season (LCS) was defined as the period when the leaves of more than half of the species had recognized changes in color. We systematically studied the changes in peak, start, end, and duration of LCS and their correlations with five temperature parameters (mean temperature, accumulated cold temperature, day temperature, night temperature, and temperature difference between day and night) in four periods. Similarly to previous findings, the start date of LCS advanced and the end of LCS delayed over the past 50 years, which consequently led to a lengthened duration of LCS in Xi'an, Harbin, Minqin, and Shenyang. In general, the rise in mean temperature, day temperature, and night temperature would delay the peak, start, and end of LCS and lengthen the duration of LCS in most cases. We also proved that the changes in LCS metrics not only could completely be explained by mean temperature but also were influenced by day temperature, night temperature, temperature difference, and even other climatic factors such as precipitation, at different sites.

show abstract

Section: Discussionsupporting

confidence: 92%

Section: Introductionmentioning

confidence: 99%

Divergent Response of Leaf Coloring Seasons to Temperature Change in Northern China over the Past 50 Years

Tao

Dai

et al. 2019

Advances in Meteorology

Self Cite

View full text Add to dashboard Cite

show abstract

“…So the same attention should be paid to the interactions between temperature and precipitation. Furthermore, recent studies indicated the preseason maximum daytime and minimum nighttime temperatures produced contrasting effects on the DOD (Yang et al, 2017;Wu et al, 2018). So, in order to improve the accuracy of vegetation phenology modeling, the daytime and nighttime temperatures should be incorporated in autumn phenology models, rather than mean temperature alone in future study.…”

Section: Uncertainties and Limitationsmentioning

confidence: 99%

Change in Autumn Vegetation Phenology and the Climate Controls From 1982 to 2012 on the Qinghai–Tibet Plateau

Zhu

Peng

et al. 2020

Front. Plant Sci.

View full text Add to dashboard Cite

Autumn vegetation phenology plays a critical role in the survival and reproduction of vegetation in changing environments. Using GIMMS3g (Global Inventory Modeling and Mapping Studies), MODIS (Moderate Resolution Imaging and Spectroradiometer), and SPOT (Systeme Probatoire d'Observation de la Terre) remote sensing data, we investigated the spatial and temporal dynamics of the vegetation dormancy onset date (DOD) and its response to temperature, precipitation, and cold degree days (CDD) in different biomes on the Qinghai-Tibet Plateau (QTP) from 1982 to 2012. Our results indicated that there was no significant temporal trend in the DOD for the vegetation on the QTP but found clear regional characteristics in the DOD trends with a notably advancing trend in the central region and a widespread delay in the southwestern region (>1 day year −1 , P < 0.05). Our results also indicated that temperature plays an important role in the trend of delays in vegetation autumn phenology; in particular, the preseason temperature can delay the DOD significantly; the positive correlations were observed in more than 71% of the study areas. Consistent with previous studies, we observed significant negative correlations between preseason CDD and DOD; the negative correlations were observed in more than 72% of the study areas for all the data sets. In contrast, the effects of precipitation on DOD were biome dependent. We found that precipitation could promote the extension of the growing season in meadow and grass biomes but produce weak effects on vegetation dormancy in forest biomes. Therefore, not only the magnitude but also the timing of changes in temperature and precipitation determines the effects of climate factors on DOD and further suggests that biome-specific phenological responses also need to be integrated into vegetation phenology models for future climate change investigations on the QTP.

show abstract

“…However, it can be anticipated that, sooner or later, agricultural management and/or choice of cultivars will also be adapted to the new potential growing seasons. The drivers of autumn phenology, such as leaf colouring and leaf fall, are still far from being completely understood (Estrella & Menzel, ; Gallinat, Primack, & Wagner, ; Gill et al, ; Wu et al, ).…”

Section: Introductionmentioning

confidence: 99%

Climate change fingerprints in recent European plant phenology

Menzel

Yuan

Matiu

et al. 2020

Global Change Biology

249

148

View full text Add to dashboard Cite

A paper published in Global Change Biology in 2006 revealed that phenological responses in 1971–2000 matched the warming pattern in Europe, but a lack of chilling and adaptation in farming may have reversed these findings. Therefore, for 1951–2018 in a corresponding data set, we determined changes as linear trends and analysed their variation by plant traits/groups, across season and time as well as their attribution to warming following IPCC methodology. Although spring and summer phases in wild plants advanced less (maximum advances in 1978–2007), more (~90%) and more significant (~60%) negative trends were present, being stronger in early spring, at higher elevations, but smaller for nonwoody insect‐pollinated species. These trends were strongly attributable to winter and spring warming. Findings for crop spring phases were similar, but were less pronounced. There were clearer and attributable signs for a delayed senescence in response to winter and spring warming. These changes resulted in a longer growing season, but a constant generative period in wild plants and a shortened one in agricultural crops. Phenology determined by farmers’ decisions differed noticeably from the purely climatic driven phases with smaller percentages of advancing (~75%) trends, but farmers’ spring activities were the only group with reinforced advancement, suggesting adaptation. Trends in farmers’ spring and summer activities were very likely/likely associated with the warming pattern. In contrast, the advance in autumn farming phases was significantly associated with below average summer warming. Thus, under ongoing climate change with decreased chilling the advancing phenology in spring and summer is still attributable to warming; even the farmers’ activities in these seasons mirror, to a lesser extent, the warming. Our findings point to adaptation to climate change in agriculture and reveal diverse implications for terrestrial ecosystems; the strong attribution supports the necessary mediation of warming impacts to the general public.

show abstract

Contrasting responses of autumn-leaf senescence to daytime and night-time warming

Cited by 188 publications

References 49 publications

Divergent Response of Leaf Coloring Seasons to Temperature Change in Northern China over the Past 50 Years

Divergent Response of Leaf Coloring Seasons to Temperature Change in Northern China over the Past 50 Years

Change in Autumn Vegetation Phenology and the Climate Controls From 1982 to 2012 on the Qinghai–Tibet Plateau

Climate change fingerprints in recent European plant phenology

Contact Info

Product

Resources

About