Prioritizing climate change adaptation needs for food security in 2030

Investments aimed at improving agricultural adaptation to climate change inevitably favor some crops and regions over others. An analysis of climate risks for crops in 12 food-insecure regions was conducted to identify adaptation priorities, based on statistical crop models and climate projections f...

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Vydané v:	Science (American Association for the Advancement of Science) Ročník 319; číslo 5863; s. 607
Hlavní autori:	Lobell, David B, Burke, Marshall B, Tebaldi, Claudia, Mastrandrea, Michael D, Falcon, Walter P, Naylor, Rosamond L
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States 01.02.2008
Predmet:	Africa, Southern Agriculture - methods Agriculture - trends Asia Bayes Theorem Climate Crops, Agricultural Food Supply Models, Statistical Monte Carlo Method Probability Risk Temperature Africa, Southern Asia
ISSN:	1095-9203, 1095-9203
On-line prístup:	Zistit podrobnosti o prístupe
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!

Abstract	Investments aimed at improving agricultural adaptation to climate change inevitably favor some crops and regions over others. An analysis of climate risks for crops in 12 food-insecure regions was conducted to identify adaptation priorities, based on statistical crop models and climate projections for 2030 from 20 general circulation models. Results indicate South Asia and Southern Africa as two regions that, without sufficient adaptation measures, will likely suffer negative impacts on several crops that are important to large food-insecure human populations. We also find that uncertainties vary widely by crop, and therefore priorities will depend on the risk attitudes of investment institutions.
AbstractList	Investments aimed at improving agricultural adaptation to climate change inevitably favor some crops and regions over others. An analysis of climate risks for crops in 12 food-insecure regions was conducted to identify adaptation priorities, based on statistical crop models and climate projections for 2030 from 20 general circulation models. Results indicate South Asia and Southern Africa as two regions that, without sufficient adaptation measures, will likely suffer negative impacts on several crops that are important to large food-insecure human populations. We also find that uncertainties vary widely by crop, and therefore priorities will depend on the risk attitudes of investment institutions.Investments aimed at improving agricultural adaptation to climate change inevitably favor some crops and regions over others. An analysis of climate risks for crops in 12 food-insecure regions was conducted to identify adaptation priorities, based on statistical crop models and climate projections for 2030 from 20 general circulation models. Results indicate South Asia and Southern Africa as two regions that, without sufficient adaptation measures, will likely suffer negative impacts on several crops that are important to large food-insecure human populations. We also find that uncertainties vary widely by crop, and therefore priorities will depend on the risk attitudes of investment institutions. Investments aimed at improving agricultural adaptation to climate change inevitably favor some crops and regions over others. An analysis of climate risks for crops in 12 food-insecure regions was conducted to identify adaptation priorities, based on statistical crop models and climate projections for 2030 from 20 general circulation models. Results indicate South Asia and Southern Africa as two regions that, without sufficient adaptation measures, will likely suffer negative impacts on several crops that are important to large food-insecure human populations. We also find that uncertainties vary widely by crop, and therefore priorities will depend on the risk attitudes of investment institutions.
Author	Burke, Marshall B Mastrandrea, Michael D Lobell, David B Naylor, Rosamond L Tebaldi, Claudia Falcon, Walter P
Author_xml	– sequence: 1 givenname: David B surname: Lobell fullname: Lobell, David B email: dlobell@stanford.edu organization: Food Security and Environment Program, Woods Institute for the Environment and the Freeman Spogli Institute for International Studies, Stanford University, Stanford, CA 94305, USA. dlobell@stanford.edu – sequence: 2 givenname: Marshall B surname: Burke fullname: Burke, Marshall B – sequence: 3 givenname: Claudia surname: Tebaldi fullname: Tebaldi, Claudia – sequence: 4 givenname: Michael D surname: Mastrandrea fullname: Mastrandrea, Michael D – sequence: 5 givenname: Walter P surname: Falcon fullname: Falcon, Walter P – sequence: 6 givenname: Rosamond L surname: Naylor fullname: Naylor, Rosamond L
BackLink	https://www.ncbi.nlm.nih.gov/pubmed/18239122$$D View this record in MEDLINE/PubMed
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Snippet	Investments aimed at improving agricultural adaptation to climate change inevitably favor some crops and regions over others. An analysis of climate risks for...
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SubjectTerms	Africa, Southern Agriculture - methods Agriculture - trends Asia Bayes Theorem Climate Crops, Agricultural Food Supply Models, Statistical Monte Carlo Method Probability Risk Temperature
Title	Prioritizing climate change adaptation needs for food security in 2030
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