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Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model

Overview of attention for article published in Mitigation & Adaptation Strategies for Global Change, February 2016
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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 (87th percentile)
  • Good Attention Score compared to outputs of the same age and source (72nd percentile)

Mentioned by

policy
1 policy source
twitter
13 tweeters

Citations

dimensions_citation
13 Dimensions

Readers on

mendeley
107 Mendeley
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Title
Assessing high-impact spots of climate change: spatial yield simulations with Decision Support System for Agrotechnology Transfer (DSSAT) model
Published in
Mitigation & Adaptation Strategies for Global Change, February 2016
DOI 10.1007/s11027-015-9696-2
Pubmed ID
Authors

Anton Eitzinger, Peter Läderach, Beatriz Rodriguez, Myles Fisher, Stephen Beebe, Kai Sonder, Axel Schmidt

Abstract

Drybeans (Phaseolus vulgaris L.) are an important subsistence crop in Central America. Future climate change may threaten drybean production and jeopardize smallholder farmers' food security. We estimated yield changes in drybeans due to changing climate in these countries using downscaled data from global circulation models (GCMs) in El Salvador, Guatemala, Honduras, and Nicaragua. We generated daily weather data, which we used in the Decision Support System for Agrotechnology Transfer (DSSAT) drybean submodel. We compared different cultivars, soils, and fertilizer options in three planting seasons. We analyzed the simulated yields to spatially classify high-impact spots of climate change across the four countries. The results show a corridor of reduced yields from Lake Nicaragua to central Honduras (10-38 % decrease). Yields increased in the Guatemalan highlands, towards the Atlantic coast, and in southern Nicaragua (10-41 % increase). Some farmers will be able to adapt to climate change, but others will have to change crops, which will require external support. Research institutions will need to devise technologies that allow farmers to adapt and provide policy makers with feasible strategies to implement them.

Twitter Demographics

The data shown below were collected from the profiles of 13 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Mexico 2 2%
Kenya 1 <1%
Indonesia 1 <1%
India 1 <1%
Colombia 1 <1%
United States 1 <1%
Unknown 100 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 21%
Student > Master 21 20%
Student > Ph. D. Student 17 16%
Student > Bachelor 7 7%
Other 5 5%
Other 14 13%
Unknown 20 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 35%
Environmental Science 17 16%
Engineering 9 8%
Earth and Planetary Sciences 5 5%
Computer Science 2 2%
Other 8 7%
Unknown 29 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 01 May 2018.
All research outputs
#2,057,518
of 18,721,196 outputs
Outputs from Mitigation & Adaptation Strategies for Global Change
#133
of 582 outputs
Outputs of similar age
#43,347
of 358,168 outputs
Outputs of similar age from Mitigation & Adaptation Strategies for Global Change
#4
of 11 outputs
Altmetric has tracked 18,721,196 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 582 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done well, scoring higher than 77% 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 358,168 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 87% of its contemporaries.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.