Herbarium records indicate variation in bloom-time sensitivity to temperature across a geographically diverse region

Kopp, Christopher W.; Neto-Bradley, Barbara M.; Lipsen, Linda P. J.; Sandhar, Jas; Smith, Siena

doi:10.1007/s00484-020-01877-1

Cited by 22 publications

(35 citation statements)

References 32 publications

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“…These phenological characteristics may explain the different sensitivities of the SGS and EGS dates to elevation. The characteristics of the sensitivities of flowering, leaf flush, and leaf fall to temperature have been reported in many previous studies [10,11,65,66]. The differences in reported sensitivities suggest that use of a single degree-day model of phenology to estimate SGS and EGS dates may be misleading with respect to those dates in a steep river basin where there is high diversity and an uneven distribution of tree species.…”

Section: Plos Onementioning

confidence: 76%

“…In temperate and subarctic climate zones, plant phenological events such as flowering, leaf flushing, leaf colouring, and leaf fall show spatiotemporal characteristics along latitudinal, longitudinal, and elevational gradients (e.g., [1][2][3][4][5][6][7][8][9][10]). In particular, the timing of the start (SGS) and end of the growing season (EGS) are more sensitive to elevational gradients than to latitudinal gradients [8].…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

“…Previous studies examined the spatiotemporal distribution of the timing of leaf flushing, leaf colouring, and leaf fall along an elevational gradient using data from in situ observations [14][15][16][17], phenological images [7,18,19], herbarium records [10], phenological information published on the Internet [9], data from satellite observations [6,12,[20][21][22][23], and modelling [24,25]. The scales of the targeted regions have been national (Germany [15], Slovakia [17], and China [12,22,24]), continental (Europe [14] and North America [7,10]), and global [6]. In contrast, previous studies that focused on the scale of river basins (10−100 km) involved relatively limited spatiotemporal scales (a mountainous region in central Japan and 12 years [26]; a mountainous region in central Japan and 6 years [27]; a mountainous region in central Japan and 3 years [19]; a mountainous region in central Japan and 1 year [28,29]; the Pyrenees in France and 3 years [20]; the Pyrenees in France and 2 years [11]; and the Alps in Germany [18,30]).…”

Section: Introductionmentioning

confidence: 99%

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How did the characteristics of the growing season change during the past 100 years at a steep river basin in Japan?

2021

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The effects of climate change on plant phenological events such as flowering, leaf flush, and leaf fall may be greater in steep river basins than at the horizontal scale of countries and continents. This possibility is due to the effect of temperature on plant phenology and the difference between vertical and horizontal gradients in temperature sensitivities. We calculated the dates of the start (SGS) and end of the growing season (EGS) in a steep river basin located in a mountainous region of central Japan over a century timescale by using a degree-day phenological model based on long-term, continuous, in situ observations. We assessed the generality and representativeness of the modelled SGS and EGS dates by using phenological events, live camera images taken at multiple points in the basin, and satellite observations made at a fine spatial resolution. The sensitivity of the modelled SGS and EGS dates to elevation changed from 3.29 days (100 m)−1 (−5.48 days °C−1) and −2.89 days (100 m)−1 (4.81 days °C−1), respectively, in 1900 to 2.85 days (100 m)−1 (−4.75 days °C−1) and −2.84 day (100 m)−1 (4.73 day °C−1) in 2019. The long-term trend of the sensitivity of the modelled SGS date to elevation was −0.0037 day year−1 per 100 m, but the analogous trend in the case of the modelled EGS date was not significant. Despite the need for further studies to improve the generality and representativeness of the model, the development of degree-day phenology models in multiple, steep river basins will deepen our ecological understanding of the sensitivity of plant phenology to climate change.

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Section: Plos Onementioning

confidence: 76%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

How did the characteristics of the growing season change during the past 100 years at a steep river basin in Japan?

2021

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“…Furthermore, in attempting to generalize the results of few species to many, the role of reporting biases becomes particularly important. Unreported phenological stasis may skew estimates of global rate‐of‐change (Kopp et al, 2020) and in the case of phylogenetic signal, this effect could possibly be compounded. If a dataset is not representative of a set of taxa due to the omission of taxa showing phenological stasis, we may either: (1) incorrectly detect a signal; or (2) not detect a signal when there is one.…”

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confidence: 99%

Macroevolutionary history predicts flowering time but not phenological sensitivity to temperature in grasses

Neto-Bradley¹,

Whitton

Lipsen

et al. 2021

American J of Botany

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Phenology is changing in response to anthropogenic climate change (Parmesan and Yohe, 2003) and understanding exactly how phenological shifts track changing environmental conditions can help prioritize mitigation as well as management actions (Morellato et al., 2016). For example, if we can predict the phenology of recently arrived invasive species based on their closest relatives, we can narrow down treatment windows for manual removal or herbicide application.Phenological studies of flowering plants use combinations of historical observations and herbarium specimens to track changes in leaf, floral, and fruiting phenology (Primack et al., 2004;Munson and Long, 2017;Willis et al., 2017;Meineke et al., 2019). The multiple lifetimes of collection efforts housed in herbaria span space and time, and provide irreplaceable insight into long-term trends and broadscale patterns of changes in phenology (

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Growing‐season climate as an explanation of spatial variations in temperature sensitivity of green‐up on Tibetan Plateau

Yang,

Jiang,

Huang

et al. 2024

Ecosphere

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Temperature sensitivity (TS) of the green‐up date (GUD) of plants is crucial for the prediction of grassland phenology that is important for animal husbandry and pasture management. Spatial variations in the TS are known to reflect interannual temperature variability and/or accumulated precipitation preceding the GUD (pre‐GUD). However, whether spatial TS variations are related to the interaction between pre‐GUD temperature variability and precipitation, which is a potential indicator of frost risk, remains unclear. Furthermore, because the interaction between interannual temperature variability and accumulated precipitation following the GUD (post‐GUD) can exert selection pressure on the plant life cycle, it may also be involved in shaping the spatial TS pattern. Using long‐term ground observations of GUD on the Tibetan Plateau, we show that TS is more negative (greater GUD advance per unit temperature increase) in areas with more pre‐GUD precipitation and low pre‐GUD interannual temperature variability, but less negative in areas with more pre‐GUD precipitation and high pre‐GUD interannual temperature variability. This result is likely because more pre‐GUD precipitation facilitates sprout and leaf development under stable temperature conditions, whereas it increases frost risk when the temperature variability is high. In contrast, TS magnitude decreases with increases in post‐GUD precipitation in areas where post‐GUD interannual temperature variability is low, but increases with post‐GUD precipitation in areas where post‐GUD interannual temperature variability is high. We speculate that because hydrothermal demands for leaf growth from the onset of green‐up to maturity are more easily fulfilled when interannual temperature variability is lower and precipitation is higher, green‐up need not be sensitive to pre‐GUD temperature. In contrast, high post‐GUD precipitation likely aggravates low‐temperature constraints on leaf growth when temperature variability is high, resulting in greater TS to maximize growing season length. These results suggest that spatial TS variations on the Tibetan Plateau are likely associated with adaptations of leaf‐out phenology to background pre‐GUD climatic conditions together with selection pressure from post‐GUD conditions.

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Herbarium records indicate variation in bloom-time sensitivity to temperature across a geographically diverse region

Cited by 22 publications

References 32 publications

How did the characteristics of the growing season change during the past 100 years at a steep river basin in Japan?

How did the characteristics of the growing season change during the past 100 years at a steep river basin in Japan?

Macroevolutionary history predicts flowering time but not phenological sensitivity to temperature in grasses

Growing‐season climate as an explanation of spatial variations in temperature sensitivity of green‐up on Tibetan Plateau

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