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Spatial heterogeneity in the timing of birch budburst in response to future climate warming in Ireland

Overview of attention for article published in International Journal of Biometeorology, September 2013
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Title
Spatial heterogeneity in the timing of birch budburst in response to future climate warming in Ireland
Published in
International Journal of Biometeorology, September 2013
DOI 10.1007/s00484-013-0720-5
Pubmed ID
Authors

Amelia Caffarra, Fabio Zottele, Emily Gleeson, Alison Donnelly

Abstract

In order to predict the impact of future climate warming on trees it is important to quantify the effect climate has on their development. Our understanding of the phenological response to environmental drivers has given rise to various mathematical models of the annual growth cycle of plants. These models simulate the timing of phenophases by quantifying the relationship between development and its triggers, typically temperature. In addition, other environmental variables have an important role in determining the timing of budburst. For example, photoperiod has been shown to have a strong influence on phenological events of a number of tree species, including Betula pubescens (birch). A recently developed model for birch (DORMPHOT), which integrates the effects of temperature and photoperiod on budburst, was applied to future temperature projections from a 19-member ensemble of regional climate simulations (on a 25 km grid) generated as part of the ENSEMBLES project, to simulate the timing of birch budburst in Ireland each year up to the end of the present century. Gridded temperature time series data from the climate simulations were used as input to the DORMPHOT model to simulate future budburst timing. The results showed an advancing trend in the timing of birch budburst over most regions in Ireland up to 2100. Interestingly, this trend appeared greater in the northeast of the country than in the southwest, where budburst is currently relatively early. These results could have implications for future forest planning, species distribution modeling, and the birch allergy season.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Finland 1 4%
Unknown 24 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 20%
Researcher 4 16%
Other 2 8%
Lecturer 1 4%
Student > Bachelor 1 4%
Other 4 16%
Unknown 8 32%
Readers by discipline Count As %
Earth and Planetary Sciences 5 20%
Environmental Science 4 16%
Agricultural and Biological Sciences 4 16%
Physics and Astronomy 1 4%
Social Sciences 1 4%
Other 1 4%
Unknown 9 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 18 September 2013.
All research outputs
#18,347,414
of 22,721,584 outputs
Outputs from International Journal of Biometeorology
#1,075
of 1,289 outputs
Outputs of similar age
#146,760
of 197,574 outputs
Outputs of similar age from International Journal of Biometeorology
#19
of 21 outputs
Altmetric has tracked 22,721,584 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,289 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one is in the 8th percentile – i.e., 8% of its peers scored the same or lower than it.
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We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.