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Agroecosystem specific climate vulnerability analysis: application of the livelihood vulnerability index to a tropical highland region

Overview of attention for article published in Mitigation and Adaptation Strategies for Global Change, July 2014
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Title
Agroecosystem specific climate vulnerability analysis: application of the livelihood vulnerability index to a tropical highland region
Published in
Mitigation and Adaptation Strategies for Global Change, July 2014
DOI 10.1007/s11027-014-9568-1
Pubmed ID
Authors

Belay Simane, Benjamin F. Zaitchik, Jeremy D. Foltz

Abstract

In topographically diverse highland terrain, socio-economic and environmental conditions can vary dramatically over relatively short distances. This presents a challenge for climate resilient development strategies, as exposure to climate variability and change, climate impacts, and adaptive capacity differ between communities located within common cultural and administrative units. The Livelihood Vulnerability Index (LVI) framed within the United Nations Intergovernmental Panel on Climate Change (IPCC) vulnerability framework (LVI-IPCC) offers a tool to assess climate vulnerability through direct household surveys. This makes it particularly appropriate for analyses at sub-community and community scales. Here we apply the LVI-IPCC to communities of Choke Mountain, located in the Blue Nile Highlands of Ethiopia. Recognizing the physiographic and climatic diversity that exists in this mountainous environment, we implement LVI-IPCC analysis for 793 mixed crop-livestock farming households using the five distinct agroecological systems (AES) that compose the populated area of Choke Mountain as a framework for analysis. For each AES, an LVI index, adaptive capacity metric, and LVI-IPCC vulnerability score was calculated. We found that each of these metrics varied systematically across AES. High elevation sloping lands and low elevation steep lands exhibited relatively low adaptive capacity and high vulnerability while midland AES had higher capacity and lower vulnerability. These results suggest that resilience building interventions for Choke Mountain ecosystems should be targeted to address the specific circumstances of each AES. The approach of applying LVI-IPCC at AES scale could be applicable to other climate vulnerable mountainous regions.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 317 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
India 1 <1%
Peru 1 <1%
Unknown 314 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 14%
Student > Master 39 12%
Researcher 36 11%
Student > Doctoral Student 24 8%
Lecturer 19 6%
Other 59 19%
Unknown 95 30%
Readers by discipline Count As %
Environmental Science 77 24%
Agricultural and Biological Sciences 54 17%
Economics, Econometrics and Finance 20 6%
Social Sciences 18 6%
Earth and Planetary Sciences 11 3%
Other 37 12%
Unknown 100 32%
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 01 October 2014.
All research outputs
#16,223,992
of 23,906,448 outputs
Outputs from Mitigation and Adaptation Strategies for Global Change
#613
of 688 outputs
Outputs of similar age
#136,363
of 230,814 outputs
Outputs of similar age from Mitigation and Adaptation Strategies for Global Change
#17
of 19 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 688 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.8. This one is in the 6th percentile – i.e., 6% of its peers scored the same or lower than it.
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 230,814 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 19 others from the same source and published within six weeks on either side of this one. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.