Spatial and temporal shifts in photoperiod with climate change

被引:32
|
作者
Ettinger, A. K. [1 ,2 ]
Buonaiuto, D. M. [2 ,3 ]
Chamberlain, C. J. [2 ,3 ]
Morales-Castilla, I. [2 ,3 ,4 ,5 ]
Wolkovich, E. M. [2 ,3 ,6 ]
机构
[1] Nature Conservancy, Washington Field Off, Seattle, WA 98121 USA
[2] Arnold Arboretum Harvard Univ, Boston, MA 02130 USA
[3] Harvard Univ, Dept Organism & Evolutionary Biol, Cambridge, MA 02138 USA
[4] Univ Alcal, Dept Life Sci, Global Change Ecol & Evolut GloCEE Res Grp, Alcala De Henares 28805, MA, Spain
[5] George Mason Univ, Dept Environm Sci & Policy, Fairfax, VA 22030 USA
[6] Univ British Columbia, Forest & Conservat Sci, Fac Forestry, Vancouver, BC V6T 1Z4, Canada
基金
加拿大自然科学与工程研究理事会; 美国国家科学基金会;
关键词
budburst; daylength; global warming; phenology; range shifts; spring; timing; SPECIES RANGE SHIFTS; DORMANCY RELEASE; BUD BURST; FAGUS-SYLVATICA; TREE PHENOLOGY; PHOTOSYNTHETIC CAPACITY; FORECASTING PHENOLOGY; SPRING PHENOLOGY; LOCAL ADAPTATION; MEDIATED CONTROL;
D O I
10.1111/nph.17172
中图分类号
Q94 [植物学];
学科分类号
071001 ;
摘要
Climate change causes both temporal (e.g. advancing spring phenology) and geographic (e.g. range expansion poleward) species shifts, which affect the photoperiod experienced at critical developmental stages ('experienced photoperiod'). As photoperiod is a common trigger of seasonal biological responses - affecting woody plant spring phenology in 87% of reviewed studies that manipulated photoperiod - shifts in experienced photoperiod may have important implications for future plant distributions and fitness. However, photoperiod has not been a focus of climate change forecasting to date, especially for early-season ('spring') events, often assumed to be driven by temperature. Synthesizing published studies, we find that impacts on experienced photoperiod from temporal shifts could be orders of magnitude larger than from spatial shifts (1.6 h of change for expected temporal vs 1 min for latitudinal shifts). Incorporating these effects into forecasts is possible by leveraging existing experimental data; we show that results from growth chamber experiments on woody plants often have data relevant for climate change impacts, and suggest that shifts in experienced photoperiod may increasingly constrain responses to additional warming. Further, combining modeling approaches and empirical work on when, where and how much photoperiod affects phenology could rapidly advance our understanding and predictions of future spatio-temporal shifts from climate change.
引用
收藏
页码:462 / 474
页数:13
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