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Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation

Overview of attention for article published in Journal of Experimental Botany, March 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

policy
1 policy source
patent
2 patents
wikipedia
1 Wikipedia page

Citations

dimensions_citation
321 Dimensions

Readers on

mendeley
676 Mendeley
citeulike
1 CiteULike
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Title
Crops and climate change: progress, trends, and challenges in simulating impacts and informing adaptation
Published in
Journal of Experimental Botany, March 2009
DOI 10.1093/jxb/erp062
Pubmed ID
Authors

Andrew J. Challinor, Frank Ewert, Steve Arnold, Elisabeth Simelton, Evan Fraser

Abstract

Assessments of the relationships between crop productivity and climate change rely upon a combination of modelling and measurement. As part of this review, this relationship is discussed in the context of crop and climate simulation. Methods for linking these two types of models are reviewed, with a primary focus on large-area crop modelling techniques. Recent progress in simulating the impacts of climate change on crops is presented, and the application of these methods to the exploration of adaptation options is discussed. Specific advances include ensemble simulations and improved understanding of biophysical processes. Finally, the challenges associated with impacts and adaptation research are discussed. It is argued that the generation of knowledge for policy and adaptation should be based not only on syntheses of published studies, but also on a more synergistic and holistic research framework that includes: (i) reliable quantification of uncertainty; (ii) techniques for combining diverse modelling approaches and observations that focus on fundamental processes; and (iii) judicious choice and calibration of models, including simulation at appropriate levels of complexity that accounts for the principal drivers of crop productivity, which may well include both biophysical and socio-economic factors. It is argued that such a framework will lead to reliable methods for linking simulation to real-world adaptation options, thus making practical use of the huge global effort to understand and predict climate change.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 676 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 12 2%
France 5 <1%
United Kingdom 5 <1%
Canada 5 <1%
India 5 <1%
South Africa 3 <1%
Australia 3 <1%
Italy 2 <1%
Spain 2 <1%
Other 12 2%
Unknown 622 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 190 28%
Student > Ph. D. Student 130 19%
Student > Master 87 13%
Student > Bachelor 41 6%
Student > Doctoral Student 32 5%
Other 114 17%
Unknown 82 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 232 34%
Environmental Science 153 23%
Earth and Planetary Sciences 58 9%
Economics, Econometrics and Finance 31 5%
Social Sciences 26 4%
Other 64 9%
Unknown 112 17%
Attention Score in Context

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 25 November 2021.
All research outputs
#4,015,380
of 26,391,249 outputs
Outputs from Journal of Experimental Botany
#1,218
of 7,470 outputs
Outputs of similar age
#13,158
of 108,213 outputs
Outputs of similar age from Journal of Experimental Botany
#8
of 40 outputs
Altmetric has tracked 26,391,249 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,470 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 108,213 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 84% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.