The socioeconomics of food crop production and climate change vulnerability: a global scale quantitative analysis of how grain crops are ... View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2012-06

AUTHORS

Elisabeth Simelton, Evan D. G. Fraser, Mette Termansen, Tim G. Benton, Simon N. Gosling, Andrew South, Nigel W. Arnell, Andrew J. Challinor, Andrew J. Dougill, Piers M. Forster

ABSTRACT

Many studies warn that climate change may undermine global food security. Much work on this topic focuses on modelling crop-weather interactions but these models do not generally account for the ways in which socio-economic factors influence how harvests are affected by weather. To address this gap, this paper uses a quantitative harvest vulnerability index based on annual soil moisture and grain production data as the dependent variable in a Linear Mixed Effects model with national scale socio-economic data as independent variables for the period 1990–2005. Results show that rice, wheat and maize production in middle income countries were especially vulnerable to droughts. By contrast, harvests in countries with higher investments in agriculture (e.g. higher amounts of fertilizer use) were less vulnerable to drought. In terms of differences between the world’s major grain crops, factors that made rice and wheat crops vulnerable to drought were quite consistent, while those of maize crops varied considerably depending on the type of region. This is likely due to the fact that maize is produced under very different conditions worldwide. One recommendation for reducing drought vulnerability risks is coordinated development and adaptation policies, including institutional support that enables farmers to take proactive action. More... »

PAGES

163-179

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s12571-012-0173-4

DOI

http://dx.doi.org/10.1007/s12571-012-0173-4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1037146201


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Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/s12571-012-0173-4'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s12571-012-0173-4'

Turtle is a human-readable linked data format.

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RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s12571-012-0173-4'


 

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