Articles | Volume 13, issue 19
Biogeosciences, 13, 5541–5555, 2016
https://doi.org/10.5194/bg-13-5541-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Biogeosciences, 13, 5541–5555, 2016
https://doi.org/10.5194/bg-13-5541-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article 06 Oct 2016
Research article | 06 Oct 2016
Impact of temperature and precipitation extremes on the flowering dates of four German wildlife shrub species
Jonatan F. Siegmund et al.
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- The impacts of flowering phenology on the reproductive success of the narrow endemic Nouelia insignis Franch. (Asteraceae) F. Liu et al. 10.1002/ece3.7747
- Disentangling synchrony from serial dependency in paired-event time series A. Odenweller & R. Donner 10.1103/PhysRevE.101.052213
- Impact of extreme spring temperature and summer precipitation events on flowering phenology in a three-year study of the shores of Lake Issaqueena, South Carolina M. Cope et al. 10.1080/11956860.2017.1346448
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- Refining multi-model projections of temperature extremes by evaluation against land–atmosphere coupling diagnostics S. Sippel et al. 10.5194/esd-8-387-2017
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- The application of GIS and satellite imagery in archaeological land-use reconstruction: A predictive model? M. Kempf 10.1016/j.jasrep.2019.03.035
- Differential Imprints of Distinct ENSO Flavors in Global Patterns of Very Low and High Seasonal Precipitation M. Wiedermann et al. 10.3389/fclim.2021.618548
- Interacting effects of temperature and precipitation on climatic sensitivity of spring vegetation green-up in arid mountains of China J. Du et al. 10.1016/j.agrformet.2019.02.008
- Impacts of recent climate extremes on spring phenology in arid-mountain ecosystems in China Z. He et al. 10.1016/j.agrformet.2018.05.022
- Detecting the Turning Points of Grassland Autumn Phenology on the Qinghai-Tibetan Plateau: Spatial Heterogeneity and Controls Y. Yang et al. 10.3390/rs13234797
- Grassland Phenology’s Sensitivity to Extreme Climate Indices in the Sichuan Province, Western China B. Adu et al. 10.3390/atmos12121650
- The Sensitivity of Vegetation Phenology to Extreme Climate Indices in the Loess Plateau, China T. Pei et al. 10.3390/su13147623
- Influence of Climate Change on Flowering Time W. Tun et al. 10.1007/s12374-021-09300-x
- The impacts of flowering phenology on the reproductive success of the narrow endemic Nouelia insignis Franch. (Asteraceae) F. Liu et al. 10.1002/ece3.7747
- Disentangling synchrony from serial dependency in paired-event time series A. Odenweller & R. Donner 10.1103/PhysRevE.101.052213
- Impact of extreme spring temperature and summer precipitation events on flowering phenology in a three-year study of the shores of Lake Issaqueena, South Carolina M. Cope et al. 10.1080/11956860.2017.1346448
- Seasonal Variability of Trends in Regional Hot and Warm Temperature Extremes in Europe A. Sulikowska & A. Wypych 10.3390/atmos12050612
- Daily minimum temperature and precipitation control on spring phenology in arid‐mountain ecosystems in China J. Du et al. 10.1002/joc.6351
- Impacts of temperature extremes on European vegetation during the growing season L. Baumbach et al. 10.5194/bg-14-4891-2017
- Transgenerational effects in asexually reproduced offspring of Populus S. Dewan et al. 10.1371/journal.pone.0208591
- Time‐traveling seeds reveal that plant regeneration and growth traits are responding to climate change S. Everingham et al. 10.1002/ecy.3272
- Effects of temperature variability and extremes on spring phenology across the contiguous United States from 1982 to 2016 L. Liu & X. Zhang 10.1038/s41598-020-74804-4
- Fenología de las especies arbóreas de la Reserva Nacional Tambopata, Perú G. Martínez-Sovero et al. 10.29298/rmcf.v12i68.1018
- Fenología reproductiva de árboles en una zona montañosa del occidente de México L. Zárate Cuevas et al. 10.29298/rmcf.v13i69.1176
- Effects of an extreme drought on the endangered pearl mussel Margaritifera margaritifera: a before/after assessment J. Nogueira et al. 10.1007/s10750-019-04103-1
- Effects of spring and summer extreme climate events on the autumn phenology of different vegetation types of Inner Mongolia, China, from 1982 to 2015 H. Ying et al. 10.1016/j.ecolind.2019.105974
- Combined control of multiple extreme climate stressors on autumn vegetation phenology on the Tibetan Plateau under past and future climate change P. Li et al. 10.1016/j.agrformet.2021.108571
- Growth controls over flowering phenology response to climate change in three temperate steppes along a precipitation gradient Z. Zhou et al. 10.1016/j.agrformet.2019.04.011
- Schumann resonance and cardiovascular hospital admission in the area of Granada, Spain: An event coincidence analysis approach P. Fdez-Arroyabe et al. 10.1016/j.scitotenv.2019.135813
- Does climate opportunity facilitate smallholder farmers’ adaptive capacity in the Sahel? R. Lalou et al. 10.1057/s41599-019-0288-8
4 citations as recorded by crossref.
- Armed-conflict risks enhanced by climate-related disasters in ethnically fractionalized countries C. Schleussner et al. 10.1073/pnas.1601611113
- CoinCalc —A new R package for quantifying simultaneities of event series J. Siegmund et al. 10.1016/j.cageo.2016.10.004
- Meteorological Drivers of Extremes in Daily Stem Radius Variations of Beech, Oak, and Pine in Northeastern Germany: An Event Coincidence Analysis J. Siegmund et al. 10.3389/fpls.2016.00733
- Event coincidence analysis for quantifying statistical interrelationships between event time series J. Donges et al. 10.1140/epjst/e2015-50233-y
Saved (preprint)
Latest update: 26 Jan 2022
Short summary
In this study we systematically quantify simultaneities between meteorological extremes and the timing of flowering of four shrub species across Germany by using event coincidence analysis. Our study confirms previous findings of experimental studies, highlighting the impact of early spring temperatures on the flowering of the investigated plants. Additionally, the analysis reveals statistically significant indications of an influence of temperature extremes in the fall preceding the flowering.
In this study we systematically quantify simultaneities between meteorological extremes and the...
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