Phenological evidence from China to address rapid shifts in global flowering times with recent climate change

Mo, Fei; Jian, Zhang; Jing, Wang; Cheng, Zheng‐Guo; Sun, Guojun; Ren, H. L.; Zhao, Xuzhe; Cheruiyot, Wesly Kiprotich; Kavagi, Levis; Wang, Jianyong; Xiong, You‐Cai

doi:10.1016/j.agrformet.2017.06.004

Cited by 30 publications

(21 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…, Mo et al . ). Population‐level first flowering dates do not tell us whether changes affect a minority of individuals or all individuals in a population (Visser et al .…”

mentioning

confidence: 97%

“…In the case of analyses of timing, a different problem arises. Many studies of timing are based on first flowering (or leafing) date, which can be linked to climate change (e.g., Amano et al 2010, Ib añez et al 2010, Mo et al 2017). Population-level first flowering dates do not tell us whether changes affect a minority of individuals or all individuals in a population (Visser et al 2010).…”

mentioning

confidence: 99%

See 1 more Smart Citation

Inter‐annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses

et al. 2018

View full text Add to dashboard Cite

The timing and quantity of fruit production are major determinants of the functioning of a forest community, but simultaneous analyses of both are rare. We analyzed a ten‐year dataset (2001–2011) of fruit production for 45 tree and liana species from the Nouragues rain forest, French Guiana. We developed a hierarchical Bayesian approach to determine variation in the timing and quantity of fruit production. Our analysis accommodates missing censuses and quantifies variation at seasonal and inter‐annual scales. The fruiting peak of 22 of 45 species occurred during the peak of the rainy season, which is typical for central and eastern Amazon. The timing and quantity of fruit production varied substantially across years in most species, with greater variation in quantity than in timing. The timing of fruit production varied from continuously fruiting species to mast fruiting species that had two or more consecutive years without fruit production. Fully 40% of species were mast fruiting species. The seasonal timing and inter‐annual variation in fruiting were unrelated to seed dispersal mode across species. We saw no evidence for directional change in the level of fruit production, the timing of fruit production, or their variances; however, 10 yr is a short record for such analyses.

show abstract

“…, Mo et al . ). Population‐level first flowering dates do not tell us whether changes affect a minority of individuals or all individuals in a population (Visser et al .…”

mentioning

confidence: 97%

mentioning

confidence: 99%

Inter‐annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses

et al. 2018

View full text Add to dashboard Cite

show abstract

“…Reported changes vary taxonomically as well as by geography. First, advancements have been greater for species undergoing phenological transitions earlier in the season than those active later in the season (e.g., Fitter & Fitter, 2002;Hepper, 2003;Mo et al, 2017;Park et al, 2018). Species also show varying rates of change in different locations, with a general pattern of more rapid rates of advancement occurring at higher latitudes and elevations (Asse et al, 2018;Post et al, 2018;Vitasse et al, 2018;Waller et al, 2018;Zohner & Renner, 2014).…”

Section: Introductionmentioning

confidence: 99%

Biologically‐Relevant Trends in Springtime Temperatures Across the United States

Crimmins

2019

Geophysical Research Letters

View full text Add to dashboard Cite

Long‐term trends in temperature—a primary driver of phenology—are typically evaluated using monthly or seasonal averages. However, accumulated warmth, rather than average temperature, cues phenological events; further, the amount of heat necessary to trigger activity is species‐specific. We evaluated trends in the timing of three heat accumulation thresholds encompassing spring‐season biological activity in the conterminous United States over a 70‐year period to document changes from a biologically relevant perspective. The Southwest, Northeast, and Northwest regions exhibit the strongest advancements. Rates of change vary among thresholds within many regions, resulting in temporal compression and lengthening within the season. Further, in the Eastern United States, the days between when a single threshold is met in the south and north are decreasing; in the West, the opposite pattern is occurring. These trends generally match long‐term observations of species' phenology, underscoring the value of this approach for documenting biologically relevant changes in temperature.

show abstract

“…e shifts in leaf unfolding date and leaf senescence date in the Northern Hemisphere caused by global warming profoundly influenced growing season length and altered many ecosystem biogeochemical circulations, such as the carbon cycle, nitrogen cycle, and water cycle [1][2][3][4][5][6]. e phenological changes in spring, such as earlier leaf-out and flowering, have been well documented on a global or national scale [7][8][9]. e changes in autumn phenology, by contrast, are more complex and have received much fewer concerns [10,11].…”

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

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

Phenological evidence from China to address rapid shifts in global flowering times with recent climate change

Cited by 30 publications

References 29 publications

Inter‐annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses

Inter‐annual variability of fruit timing and quantity at Nouragues (French Guiana): insights from hierarchical Bayesian analyses

Biologically‐Relevant Trends in Springtime Temperatures Across the United States

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

Contact Info

Product

Resources

About