Climate Change and Maize Yield in Iowa

Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change. Here we predict how maize yiel...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:PloS one 2016-05, Vol.11 (5), p.e0156083-e0156083
Hauptverfasser: Xu, Hong, Twine, Tracy E, Girvetz, Evan
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page e0156083
container_issue 5
container_start_page e0156083
container_title PloS one
container_volume 11
creator Xu, Hong
Twine, Tracy E
Girvetz, Evan
description Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change. Here we predict how maize yield might change through the 21st century as compared with late 20th century yields across Iowa, USA, a region representing ideal climate and soils for maize production that contributes substantially to the global maize economy. To account for climate model uncertainty, we drive a dynamic ecosystem model with output from six climate models and two future climate forcing scenarios. Despite a wide range in the predicted amount of warming and change to summer precipitation, all simulations predict a decrease in maize yields from late 20th century to middle and late 21st century ranging from 15% to 50%. Linear regression of all models predicts a 6% state-averaged yield decrease for every 1°C increase in warm season average air temperature. When the influence of moisture stress on crop growth is removed from the model, yield decreases either remain the same or are reduced, depending on predicted changes in warm season precipitation. Our results suggest that even if maize were to receive all the water it needed, under the strongest climate forcing scenario yields will decline by 10-20% by the end of the 21st century.
doi_str_mv 10.1371/journal.pone.0156083
format Article
fullrecord <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1790962111</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A453359833</galeid><doaj_id>oai_doaj_org_article_d07f91d91a7149dea3c78e418d85ec1e</doaj_id><sourcerecordid>A453359833</sourcerecordid><originalsourceid>FETCH-LOGICAL-c752t-2e0db182c334f1fb66e2a32a0aa6b723d4635d001b8fd2fa34fdd6a2f318a6733</originalsourceid><addsrcrecordid>eNqNk1uLEzEUxwdR3HX1G4gWhUUfWnOSmSTzIizFS2FlwRv4FNLkTJtlmtRJxtunN7WzS0cWlDwknPzO_9w4RfEQyAyYgBeXoe-8bmfb4HFGoOJEslvFMdSMTjkl7PbB-6i4F-MlIRWTnN8tjqigUAPw4-J03rqNTjiZr7Vf4UR7O3mn3S-cfHHY2onzk0X4ru8XdxrdRnww3CfFp9evPs7fTs8v3izmZ-dTIyqaphSJXYKkhrGygWbJOVLNqCZa86WgzJacVZYQWMrG0kZnylquacNAai4YOyke73W3bYhqKDEqEDWpOQWATCz2hA36Um27nH33UwXt1B9D6FZKd8mZFpUloqnB1qAFlLVFzYyQWIK0skIDmLVeDtH65QatQZ863Y5Exz_erdUqfFOlFFKUVRZ4shcIMTkVjUto1iZ4jyYpYExUtczQsyFKF772GJPauGiwbbXH0OfiJMliBCT_NypqEJQQXmb06V_ozd0aqJXODXG-CbkOsxNVZzl_tstv1_XZDVQ-Fjcul4ONy_aRw_ORQ2YS_kgr3ceoFh_e_z978XnMnh6wa9RtWsfQ9skFH8dguQdNF2LssLkeGhC1W4-rbqjdeqhhPbLbo8OBXztd7QP7DY7iBgk</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1790962111</pqid></control><display><type>article</type><title>Climate Change and Maize Yield in Iowa</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><source>Free Full-Text Journals in Chemistry</source><creator>Xu, Hong ; Twine, Tracy E ; Girvetz, Evan</creator><contributor>Wang, Wei</contributor><creatorcontrib>Xu, Hong ; Twine, Tracy E ; Girvetz, Evan ; Univ. of Minnesota, St. Paul, MN (United States) ; Wang, Wei</creatorcontrib><description>Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change. Here we predict how maize yield might change through the 21st century as compared with late 20th century yields across Iowa, USA, a region representing ideal climate and soils for maize production that contributes substantially to the global maize economy. To account for climate model uncertainty, we drive a dynamic ecosystem model with output from six climate models and two future climate forcing scenarios. Despite a wide range in the predicted amount of warming and change to summer precipitation, all simulations predict a decrease in maize yields from late 20th century to middle and late 21st century ranging from 15% to 50%. Linear regression of all models predicts a 6% state-averaged yield decrease for every 1°C increase in warm season average air temperature. When the influence of moisture stress on crop growth is removed from the model, yield decreases either remain the same or are reduced, depending on predicted changes in warm season precipitation. Our results suggest that even if maize were to receive all the water it needed, under the strongest climate forcing scenario yields will decline by 10-20% by the end of the 21st century.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0156083</identifier><identifier>PMID: 27219116</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>21st century ; adaptation ; Agricultural production ; Agriculture - methods ; agroecosystem ; Air temperature ; Biology and Life Sciences ; C-4 photosynthesis ; Carbon ; carbon balance ; Climate Change ; Climate models ; Computer simulation ; Corn ; Crop growth ; Crop yield ; Crops ; Earth Sciences ; Ecosystem ; Ecosystem models ; Ecosystems ; elevated CO2 ; Environmental changes ; ENVIRONMENTAL SCIENCES ; Food ; Food supply ; Future climates ; Growth ; impacts ; Iowa ; Linear Models ; Loam soils ; Local climates ; management ; Moisture stress ; People and places ; Photosynthesis ; Physiological aspects ; Precipitation ; Rain ; Rainfall ; Regional climates ; Regression analysis ; Research and Analysis Methods ; stomatal conductance ; Summer precipitation ; trends ; Vegetation ; Warm seasons ; Zea mays ; Zea mays - growth &amp; development</subject><ispartof>PloS one, 2016-05, Vol.11 (5), p.e0156083-e0156083</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Xu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2016 Xu et al 2016 Xu et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c752t-2e0db182c334f1fb66e2a32a0aa6b723d4635d001b8fd2fa34fdd6a2f318a6733</citedby><cites>FETCH-LOGICAL-c752t-2e0db182c334f1fb66e2a32a0aa6b723d4635d001b8fd2fa34fdd6a2f318a6733</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878745/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4878745/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2100,2926,23864,27922,27923,53789,53791,79370,79371</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27219116$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1337598$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><contributor>Wang, Wei</contributor><creatorcontrib>Xu, Hong</creatorcontrib><creatorcontrib>Twine, Tracy E</creatorcontrib><creatorcontrib>Girvetz, Evan</creatorcontrib><creatorcontrib>Univ. of Minnesota, St. Paul, MN (United States)</creatorcontrib><title>Climate Change and Maize Yield in Iowa</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change. Here we predict how maize yield might change through the 21st century as compared with late 20th century yields across Iowa, USA, a region representing ideal climate and soils for maize production that contributes substantially to the global maize economy. To account for climate model uncertainty, we drive a dynamic ecosystem model with output from six climate models and two future climate forcing scenarios. Despite a wide range in the predicted amount of warming and change to summer precipitation, all simulations predict a decrease in maize yields from late 20th century to middle and late 21st century ranging from 15% to 50%. Linear regression of all models predicts a 6% state-averaged yield decrease for every 1°C increase in warm season average air temperature. When the influence of moisture stress on crop growth is removed from the model, yield decreases either remain the same or are reduced, depending on predicted changes in warm season precipitation. Our results suggest that even if maize were to receive all the water it needed, under the strongest climate forcing scenario yields will decline by 10-20% by the end of the 21st century.</description><subject>21st century</subject><subject>adaptation</subject><subject>Agricultural production</subject><subject>Agriculture - methods</subject><subject>agroecosystem</subject><subject>Air temperature</subject><subject>Biology and Life Sciences</subject><subject>C-4 photosynthesis</subject><subject>Carbon</subject><subject>carbon balance</subject><subject>Climate Change</subject><subject>Climate models</subject><subject>Computer simulation</subject><subject>Corn</subject><subject>Crop growth</subject><subject>Crop yield</subject><subject>Crops</subject><subject>Earth Sciences</subject><subject>Ecosystem</subject><subject>Ecosystem models</subject><subject>Ecosystems</subject><subject>elevated CO2</subject><subject>Environmental changes</subject><subject>ENVIRONMENTAL SCIENCES</subject><subject>Food</subject><subject>Food supply</subject><subject>Future climates</subject><subject>Growth</subject><subject>impacts</subject><subject>Iowa</subject><subject>Linear Models</subject><subject>Loam soils</subject><subject>Local climates</subject><subject>management</subject><subject>Moisture stress</subject><subject>People and places</subject><subject>Photosynthesis</subject><subject>Physiological aspects</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Regional climates</subject><subject>Regression analysis</subject><subject>Research and Analysis Methods</subject><subject>stomatal conductance</subject><subject>Summer precipitation</subject><subject>trends</subject><subject>Vegetation</subject><subject>Warm seasons</subject><subject>Zea mays</subject><subject>Zea mays - growth &amp; development</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1uLEzEUxwdR3HX1G4gWhUUfWnOSmSTzIizFS2FlwRv4FNLkTJtlmtRJxtunN7WzS0cWlDwknPzO_9w4RfEQyAyYgBeXoe-8bmfb4HFGoOJEslvFMdSMTjkl7PbB-6i4F-MlIRWTnN8tjqigUAPw4-J03rqNTjiZr7Vf4UR7O3mn3S-cfHHY2onzk0X4ru8XdxrdRnww3CfFp9evPs7fTs8v3izmZ-dTIyqaphSJXYKkhrGygWbJOVLNqCZa86WgzJacVZYQWMrG0kZnylquacNAai4YOyke73W3bYhqKDEqEDWpOQWATCz2hA36Um27nH33UwXt1B9D6FZKd8mZFpUloqnB1qAFlLVFzYyQWIK0skIDmLVeDtH65QatQZ863Y5Exz_erdUqfFOlFFKUVRZ4shcIMTkVjUto1iZ4jyYpYExUtczQsyFKF772GJPauGiwbbXH0OfiJMliBCT_NypqEJQQXmb06V_ozd0aqJXODXG-CbkOsxNVZzl_tstv1_XZDVQ-Fjcul4ONy_aRw_ORQ2YS_kgr3ceoFh_e_z978XnMnh6wa9RtWsfQ9skFH8dguQdNF2LssLkeGhC1W4-rbqjdeqhhPbLbo8OBXztd7QP7DY7iBgk</recordid><startdate>20160524</startdate><enddate>20160524</enddate><creator>Xu, Hong</creator><creator>Twine, Tracy E</creator><creator>Girvetz, Evan</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>7ST</scope><scope>7U6</scope><scope>OTOTI</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160524</creationdate><title>Climate Change and Maize Yield in Iowa</title><author>Xu, Hong ; Twine, Tracy E ; Girvetz, Evan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c752t-2e0db182c334f1fb66e2a32a0aa6b723d4635d001b8fd2fa34fdd6a2f318a6733</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>21st century</topic><topic>adaptation</topic><topic>Agricultural production</topic><topic>Agriculture - methods</topic><topic>agroecosystem</topic><topic>Air temperature</topic><topic>Biology and Life Sciences</topic><topic>C-4 photosynthesis</topic><topic>Carbon</topic><topic>carbon balance</topic><topic>Climate Change</topic><topic>Climate models</topic><topic>Computer simulation</topic><topic>Corn</topic><topic>Crop growth</topic><topic>Crop yield</topic><topic>Crops</topic><topic>Earth Sciences</topic><topic>Ecosystem</topic><topic>Ecosystem models</topic><topic>Ecosystems</topic><topic>elevated CO2</topic><topic>Environmental changes</topic><topic>ENVIRONMENTAL SCIENCES</topic><topic>Food</topic><topic>Food supply</topic><topic>Future climates</topic><topic>Growth</topic><topic>impacts</topic><topic>Iowa</topic><topic>Linear Models</topic><topic>Loam soils</topic><topic>Local climates</topic><topic>management</topic><topic>Moisture stress</topic><topic>People and places</topic><topic>Photosynthesis</topic><topic>Physiological aspects</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Regional climates</topic><topic>Regression analysis</topic><topic>Research and Analysis Methods</topic><topic>stomatal conductance</topic><topic>Summer precipitation</topic><topic>trends</topic><topic>Vegetation</topic><topic>Warm seasons</topic><topic>Zea mays</topic><topic>Zea mays - growth &amp; development</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Hong</creatorcontrib><creatorcontrib>Twine, Tracy E</creatorcontrib><creatorcontrib>Girvetz, Evan</creatorcontrib><creatorcontrib>Univ. of Minnesota, St. Paul, MN (United States)</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agricultural Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials Science Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>OSTI.GOV</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Hong</au><au>Twine, Tracy E</au><au>Girvetz, Evan</au><au>Wang, Wei</au><aucorp>Univ. of Minnesota, St. Paul, MN (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Climate Change and Maize Yield in Iowa</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-05-24</date><risdate>2016</risdate><volume>11</volume><issue>5</issue><spage>e0156083</spage><epage>e0156083</epage><pages>e0156083-e0156083</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Climate is changing across the world, including the major maize-growing state of Iowa in the USA. To maintain crop yields, farmers will need a suite of adaptation strategies, and choice of strategy will depend on how the local to regional climate is expected to change. Here we predict how maize yield might change through the 21st century as compared with late 20th century yields across Iowa, USA, a region representing ideal climate and soils for maize production that contributes substantially to the global maize economy. To account for climate model uncertainty, we drive a dynamic ecosystem model with output from six climate models and two future climate forcing scenarios. Despite a wide range in the predicted amount of warming and change to summer precipitation, all simulations predict a decrease in maize yields from late 20th century to middle and late 21st century ranging from 15% to 50%. Linear regression of all models predicts a 6% state-averaged yield decrease for every 1°C increase in warm season average air temperature. When the influence of moisture stress on crop growth is removed from the model, yield decreases either remain the same or are reduced, depending on predicted changes in warm season precipitation. Our results suggest that even if maize were to receive all the water it needed, under the strongest climate forcing scenario yields will decline by 10-20% by the end of the 21st century.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27219116</pmid><doi>10.1371/journal.pone.0156083</doi><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1932-6203
ispartof PloS one, 2016-05, Vol.11 (5), p.e0156083-e0156083
issn 1932-6203
1932-6203
language eng
recordid cdi_plos_journals_1790962111
source MEDLINE; DOAJ Directory of Open Access Journals; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry
subjects 21st century
adaptation
Agricultural production
Agriculture - methods
agroecosystem
Air temperature
Biology and Life Sciences
C-4 photosynthesis
Carbon
carbon balance
Climate Change
Climate models
Computer simulation
Corn
Crop growth
Crop yield
Crops
Earth Sciences
Ecosystem
Ecosystem models
Ecosystems
elevated CO2
Environmental changes
ENVIRONMENTAL SCIENCES
Food
Food supply
Future climates
Growth
impacts
Iowa
Linear Models
Loam soils
Local climates
management
Moisture stress
People and places
Photosynthesis
Physiological aspects
Precipitation
Rain
Rainfall
Regional climates
Regression analysis
Research and Analysis Methods
stomatal conductance
Summer precipitation
trends
Vegetation
Warm seasons
Zea mays
Zea mays - growth & development
title Climate Change and Maize Yield in Iowa
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-10T07%3A05%3A13IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Climate%20Change%20and%20Maize%20Yield%20in%20Iowa&rft.jtitle=PloS%20one&rft.au=Xu,%20Hong&rft.aucorp=Univ.%20of%20Minnesota,%20St.%20Paul,%20MN%20(United%20States)&rft.date=2016-05-24&rft.volume=11&rft.issue=5&rft.spage=e0156083&rft.epage=e0156083&rft.pages=e0156083-e0156083&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0156083&rft_dat=%3Cgale_plos_%3EA453359833%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1790962111&rft_id=info:pmid/27219116&rft_galeid=A453359833&rft_doaj_id=oai_doaj_org_article_d07f91d91a7149dea3c78e418d85ec1e&rfr_iscdi=true