| Title |
Evaluation of recent trends in Australian pome fruit spring phenology
|
|---|---|
| Published in |
International Journal of Biometeorology, July 2012
|
| DOI | 10.1007/s00484-012-0567-1 |
| Pubmed ID | |
| Authors |
Rebecca Darbyshire, Leanne Webb, Ian Goodwin, E. W. R. Barlow |
| Abstract |
Temporal and temperature driven analyses were conducted for eight spring phenology datasets from three Australian pome fruit growing regions ranging from 24 to 43 years in length. This, the first such analysis for Australia, indicated significant temporal change in phenophase timing for only one of the datasets. To determine relationships to temperature, a sequential chill and growth method as well as mean springtime temperatures were used to estimate phenophase timing. Expected advancement of phenophase ranged from 4.1 to 7.7 days per degree Celsius increase in temperature. The sequential chill and growth approach proved superior, with coefficients of determination between 0.49 and 0.85, indicating the inclusion of chill conditions are important for spring phenology modelling. Compared to similar phenological research in the Northern Hemisphere, the changes in response variables were often shallower in Australia, although significance of observed hemispheric differences were not found. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Finland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 2% |
| Unknown | 52 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 36% |
| Student > Ph. D. Student | 11 | 21% |
| Professor | 7 | 13% |
| Student > Doctoral Student | 3 | 6% |
| Professor > Associate Professor | 3 | 6% |
| Other | 5 | 9% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 51% |
| Earth and Planetary Sciences | 5 | 9% |
| Environmental Science | 5 | 9% |
| Chemical Engineering | 3 | 6% |
| Arts and Humanities | 1 | 2% |
| Other | 3 | 6% |
| Unknown | 9 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 24 September 2013.
All research outputs
#3,317,731
of 23,577,761 outputs
Outputs from International Journal of Biometeorology
#358
of 1,321 outputs
Outputs of similar age
#22,240
of 166,033 outputs
Outputs of similar age from International Journal of Biometeorology
#7
of 12 outputs
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