Loading…

Simulation model of the growth of sweet orange (Citrus sinensis L. Osbeck) cv. Natal in response to climate change

The objective of the present study was to develop a simulation model of the growth of sweet orange ( Citrus sinensis L. Osbeck) cv. Natal in response to climate change based on system dynamics principles. The model was developed based on a system analysis of the factors that affect crop biomass form...

Full description

Saved in:
Bibliographic Details
Published in:Climatic change 2017-07, Vol.143 (1-2), p.101-113
Main Authors: Pereira, Francisca Franciana Sousa, Sánchez-Román, Rodrigo Máximo, Orellana González, Alba María Guadalupe
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c359t-24606c665e91b89ac256ee6d03896780d5f6c72722edae81879166d6482bee833
cites cdi_FETCH-LOGICAL-c359t-24606c665e91b89ac256ee6d03896780d5f6c72722edae81879166d6482bee833
container_end_page 113
container_issue 1-2
container_start_page 101
container_title Climatic change
container_volume 143
creator Pereira, Francisca Franciana Sousa
Sánchez-Román, Rodrigo Máximo
Orellana González, Alba María Guadalupe
description The objective of the present study was to develop a simulation model of the growth of sweet orange ( Citrus sinensis L. Osbeck) cv. Natal in response to climate change based on system dynamics principles. The model was developed based on a system analysis of the factors that affect crop biomass formation. The main variables considered were atmospheric carbon dioxide (CO 2 ), air temperature, transpiration, rainfall, water deficit, irrigation depth, canopy volume, and the respective interrelationships. Simulations were performed for the period from 2010 to 2100. Overall, the model results indicate that the increase in atmospheric CO 2 concentrations predicted in the Intergovernmental Panel on Climate Change (IPCC) report, combined with air temperatures higher, lower, or equal to those generally occurring in natural environments, will result in higher water use efficiency by orange trees. When other factors, such as the soil water deficit, were included in the model, the water productivity was predicted to be lower in 2100 without irrigation than when irrigation was included. It is concluded that the model is suitable for determination of the effects of climate change on water use efficiency of sweet orange cv. Natal. Increased atmospheric CO 2 concentrations will result in higher CO 2 assimilation in orange trees and therefore in increased biomass production (g) per unit of water transpired (mm). However, this positive effect may be masked by other effects of atmospheric CO 2 increases, mainly those associated with temperature.
doi_str_mv 10.1007/s10584-017-1986-0
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1914450498</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>1914450498</sourcerecordid><originalsourceid>FETCH-LOGICAL-c359t-24606c665e91b89ac256ee6d03896780d5f6c72722edae81879166d6482bee833</originalsourceid><addsrcrecordid>eNp1kD1PwzAQhi0EEqXwA9gsscDgcs6HY4-o4kuq6ADMlutc2pQ0LrZDxb8nURhYmO5Oet_37h5CLjnMOEBxGzjkMmPAC8aVFAyOyITnRcp4JuGYTICLnAGAOiVnIWyHrkjEhPjXetc1JtaupTtXYkNdReMG6dq7Q9wMUzggRuq8addIr-d19F2goW6xDXWgixldhhXajxtqv2b0xUTT0LqlHsPetQFpdNQ29c5EpHYzZJyTk8o0AS9-65S8P9y_zZ_YYvn4PL9bMJvmKrIkEyCsEDkqvpLK2CQXiKKEVCpRSCjzStgiKZIES4OSy0JxIUqRyWSFKNN0Sq7G3L13nx2GqLeu822_UnPFsyyHTMlexUeV9S4Ej5Xe-_5a_6056AGtHtHqHq0e0GroPcnoCb22_8j_Sf7X9ANftXrS</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1914450498</pqid></control><display><type>article</type><title>Simulation model of the growth of sweet orange (Citrus sinensis L. Osbeck) cv. Natal in response to climate change</title><source>ABI/INFORM Global</source><source>Springer Nature</source><creator>Pereira, Francisca Franciana Sousa ; Sánchez-Román, Rodrigo Máximo ; Orellana González, Alba María Guadalupe</creator><creatorcontrib>Pereira, Francisca Franciana Sousa ; Sánchez-Román, Rodrigo Máximo ; Orellana González, Alba María Guadalupe</creatorcontrib><description>The objective of the present study was to develop a simulation model of the growth of sweet orange ( Citrus sinensis L. Osbeck) cv. Natal in response to climate change based on system dynamics principles. The model was developed based on a system analysis of the factors that affect crop biomass formation. The main variables considered were atmospheric carbon dioxide (CO 2 ), air temperature, transpiration, rainfall, water deficit, irrigation depth, canopy volume, and the respective interrelationships. Simulations were performed for the period from 2010 to 2100. Overall, the model results indicate that the increase in atmospheric CO 2 concentrations predicted in the Intergovernmental Panel on Climate Change (IPCC) report, combined with air temperatures higher, lower, or equal to those generally occurring in natural environments, will result in higher water use efficiency by orange trees. When other factors, such as the soil water deficit, were included in the model, the water productivity was predicted to be lower in 2100 without irrigation than when irrigation was included. It is concluded that the model is suitable for determination of the effects of climate change on water use efficiency of sweet orange cv. Natal. Increased atmospheric CO 2 concentrations will result in higher CO 2 assimilation in orange trees and therefore in increased biomass production (g) per unit of water transpired (mm). However, this positive effect may be masked by other effects of atmospheric CO 2 increases, mainly those associated with temperature.</description><identifier>ISSN: 0165-0009</identifier><identifier>EISSN: 1573-1480</identifier><identifier>DOI: 10.1007/s10584-017-1986-0</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Air temperature ; Assimilation ; Atmospheric Sciences ; Biomass ; Canopies ; Canopy ; Carbon dioxide ; Carbon dioxide atmospheric concentrations ; Carbon dioxide concentration ; Citrus fruits ; Climate ; Climate change ; Climate Change/Climate Change Impacts ; Climate effects ; Computer simulation ; Crops ; Depth ; Dynamical systems ; Dynamics ; Earth and Environmental Science ; Earth Sciences ; Efficiency ; Fruit trees ; Fruits ; Growth ; Intergovernmental Panel on Climate Change ; Irrigation ; Irrigation water ; Mathematical models ; Moisture content ; Natural environment ; Rain ; Rainfall ; Simulation ; Soil ; Soil water ; System dynamics ; Systems analysis ; Temperature effects ; Transpiration ; Trees ; Water ; Water deficit ; Water depth ; Water use ; Water use efficiency</subject><ispartof>Climatic change, 2017-07, Vol.143 (1-2), p.101-113</ispartof><rights>Springer Science+Business Media Dordrecht 2017</rights><rights>Climatic Change is a copyright of Springer, 2017.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c359t-24606c665e91b89ac256ee6d03896780d5f6c72722edae81879166d6482bee833</citedby><cites>FETCH-LOGICAL-c359t-24606c665e91b89ac256ee6d03896780d5f6c72722edae81879166d6482bee833</cites><orcidid>0000-0003-2610-7888</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1914450498/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1914450498?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,11668,27903,27904,36039,44342,74642</link.rule.ids></links><search><creatorcontrib>Pereira, Francisca Franciana Sousa</creatorcontrib><creatorcontrib>Sánchez-Román, Rodrigo Máximo</creatorcontrib><creatorcontrib>Orellana González, Alba María Guadalupe</creatorcontrib><title>Simulation model of the growth of sweet orange (Citrus sinensis L. Osbeck) cv. Natal in response to climate change</title><title>Climatic change</title><addtitle>Climatic Change</addtitle><description>The objective of the present study was to develop a simulation model of the growth of sweet orange ( Citrus sinensis L. Osbeck) cv. Natal in response to climate change based on system dynamics principles. The model was developed based on a system analysis of the factors that affect crop biomass formation. The main variables considered were atmospheric carbon dioxide (CO 2 ), air temperature, transpiration, rainfall, water deficit, irrigation depth, canopy volume, and the respective interrelationships. Simulations were performed for the period from 2010 to 2100. Overall, the model results indicate that the increase in atmospheric CO 2 concentrations predicted in the Intergovernmental Panel on Climate Change (IPCC) report, combined with air temperatures higher, lower, or equal to those generally occurring in natural environments, will result in higher water use efficiency by orange trees. When other factors, such as the soil water deficit, were included in the model, the water productivity was predicted to be lower in 2100 without irrigation than when irrigation was included. It is concluded that the model is suitable for determination of the effects of climate change on water use efficiency of sweet orange cv. Natal. Increased atmospheric CO 2 concentrations will result in higher CO 2 assimilation in orange trees and therefore in increased biomass production (g) per unit of water transpired (mm). However, this positive effect may be masked by other effects of atmospheric CO 2 increases, mainly those associated with temperature.</description><subject>Air temperature</subject><subject>Assimilation</subject><subject>Atmospheric Sciences</subject><subject>Biomass</subject><subject>Canopies</subject><subject>Canopy</subject><subject>Carbon dioxide</subject><subject>Carbon dioxide atmospheric concentrations</subject><subject>Carbon dioxide concentration</subject><subject>Citrus fruits</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate Change/Climate Change Impacts</subject><subject>Climate effects</subject><subject>Computer simulation</subject><subject>Crops</subject><subject>Depth</subject><subject>Dynamical systems</subject><subject>Dynamics</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Efficiency</subject><subject>Fruit trees</subject><subject>Fruits</subject><subject>Growth</subject><subject>Intergovernmental Panel on Climate Change</subject><subject>Irrigation</subject><subject>Irrigation water</subject><subject>Mathematical models</subject><subject>Moisture content</subject><subject>Natural environment</subject><subject>Rain</subject><subject>Rainfall</subject><subject>Simulation</subject><subject>Soil</subject><subject>Soil water</subject><subject>System dynamics</subject><subject>Systems analysis</subject><subject>Temperature effects</subject><subject>Transpiration</subject><subject>Trees</subject><subject>Water</subject><subject>Water deficit</subject><subject>Water depth</subject><subject>Water use</subject><subject>Water use efficiency</subject><issn>0165-0009</issn><issn>1573-1480</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>M0C</sourceid><recordid>eNp1kD1PwzAQhi0EEqXwA9gsscDgcs6HY4-o4kuq6ADMlutc2pQ0LrZDxb8nURhYmO5Oet_37h5CLjnMOEBxGzjkMmPAC8aVFAyOyITnRcp4JuGYTICLnAGAOiVnIWyHrkjEhPjXetc1JtaupTtXYkNdReMG6dq7Q9wMUzggRuq8addIr-d19F2goW6xDXWgixldhhXajxtqv2b0xUTT0LqlHsPetQFpdNQ29c5EpHYzZJyTk8o0AS9-65S8P9y_zZ_YYvn4PL9bMJvmKrIkEyCsEDkqvpLK2CQXiKKEVCpRSCjzStgiKZIES4OSy0JxIUqRyWSFKNN0Sq7G3L13nx2GqLeu822_UnPFsyyHTMlexUeV9S4Ej5Xe-_5a_6056AGtHtHqHq0e0GroPcnoCb22_8j_Sf7X9ANftXrS</recordid><startdate>20170701</startdate><enddate>20170701</enddate><creator>Pereira, Francisca Franciana Sousa</creator><creator>Sánchez-Román, Rodrigo Máximo</creator><creator>Orellana González, Alba María Guadalupe</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7WY</scope><scope>7WZ</scope><scope>7XB</scope><scope>87Z</scope><scope>88I</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8FL</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BEZIV</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>F28</scope><scope>FR3</scope><scope>FRNLG</scope><scope>F~G</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K60</scope><scope>K6~</scope><scope>KL.</scope><scope>KR7</scope><scope>L.-</scope><scope>L.G</scope><scope>L6V</scope><scope>M0C</scope><scope>M2O</scope><scope>M2P</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQBIZ</scope><scope>PQBZA</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0003-2610-7888</orcidid></search><sort><creationdate>20170701</creationdate><title>Simulation model of the growth of sweet orange (Citrus sinensis L. Osbeck) cv. Natal in response to climate change</title><author>Pereira, Francisca Franciana Sousa ; Sánchez-Román, Rodrigo Máximo ; Orellana González, Alba María Guadalupe</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c359t-24606c665e91b89ac256ee6d03896780d5f6c72722edae81879166d6482bee833</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Air temperature</topic><topic>Assimilation</topic><topic>Atmospheric Sciences</topic><topic>Biomass</topic><topic>Canopies</topic><topic>Canopy</topic><topic>Carbon dioxide</topic><topic>Carbon dioxide atmospheric concentrations</topic><topic>Carbon dioxide concentration</topic><topic>Citrus fruits</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate Change/Climate Change Impacts</topic><topic>Climate effects</topic><topic>Computer simulation</topic><topic>Crops</topic><topic>Depth</topic><topic>Dynamical systems</topic><topic>Dynamics</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Efficiency</topic><topic>Fruit trees</topic><topic>Fruits</topic><topic>Growth</topic><topic>Intergovernmental Panel on Climate Change</topic><topic>Irrigation</topic><topic>Irrigation water</topic><topic>Mathematical models</topic><topic>Moisture content</topic><topic>Natural environment</topic><topic>Rain</topic><topic>Rainfall</topic><topic>Simulation</topic><topic>Soil</topic><topic>Soil water</topic><topic>System dynamics</topic><topic>Systems analysis</topic><topic>Temperature effects</topic><topic>Transpiration</topic><topic>Trees</topic><topic>Water</topic><topic>Water deficit</topic><topic>Water depth</topic><topic>Water use</topic><topic>Water use efficiency</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Pereira, Francisca Franciana Sousa</creatorcontrib><creatorcontrib>Sánchez-Román, Rodrigo Máximo</creatorcontrib><creatorcontrib>Orellana González, Alba María Guadalupe</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection</collection><collection>Science Database (Alumni Edition)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ABI/INFORM Collection (Alumni Edition)</collection><collection>Research Library (Alumni Edition)</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Advanced Technologies &amp; Aerospace Database‎ (1962 - current)</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest Business Premium Collection</collection><collection>Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Business Premium Collection (Alumni)</collection><collection>ABI/INFORM Global (Corporate)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 3: Aquatic Pollution &amp; Environmental Quality</collection><collection>SciTech Premium Collection (Proquest) (PQ_SDU_P3)</collection><collection>ProQuest Business Collection (Alumni Edition)</collection><collection>ProQuest Business Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Civil Engineering Abstracts</collection><collection>ABI/INFORM Professional Advanced</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>ABI/INFORM Global</collection><collection>ProQuest Research Library</collection><collection>ProQuest Science Journals</collection><collection>Engineering Database</collection><collection>Research Library (Corporate)</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>One Business (ProQuest)</collection><collection>ProQuest One Business (Alumni)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>Environment Abstracts</collection><jtitle>Climatic change</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Pereira, Francisca Franciana Sousa</au><au>Sánchez-Román, Rodrigo Máximo</au><au>Orellana González, Alba María Guadalupe</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Simulation model of the growth of sweet orange (Citrus sinensis L. Osbeck) cv. Natal in response to climate change</atitle><jtitle>Climatic change</jtitle><stitle>Climatic Change</stitle><date>2017-07-01</date><risdate>2017</risdate><volume>143</volume><issue>1-2</issue><spage>101</spage><epage>113</epage><pages>101-113</pages><issn>0165-0009</issn><eissn>1573-1480</eissn><abstract>The objective of the present study was to develop a simulation model of the growth of sweet orange ( Citrus sinensis L. Osbeck) cv. Natal in response to climate change based on system dynamics principles. The model was developed based on a system analysis of the factors that affect crop biomass formation. The main variables considered were atmospheric carbon dioxide (CO 2 ), air temperature, transpiration, rainfall, water deficit, irrigation depth, canopy volume, and the respective interrelationships. Simulations were performed for the period from 2010 to 2100. Overall, the model results indicate that the increase in atmospheric CO 2 concentrations predicted in the Intergovernmental Panel on Climate Change (IPCC) report, combined with air temperatures higher, lower, or equal to those generally occurring in natural environments, will result in higher water use efficiency by orange trees. When other factors, such as the soil water deficit, were included in the model, the water productivity was predicted to be lower in 2100 without irrigation than when irrigation was included. It is concluded that the model is suitable for determination of the effects of climate change on water use efficiency of sweet orange cv. Natal. Increased atmospheric CO 2 concentrations will result in higher CO 2 assimilation in orange trees and therefore in increased biomass production (g) per unit of water transpired (mm). However, this positive effect may be masked by other effects of atmospheric CO 2 increases, mainly those associated with temperature.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10584-017-1986-0</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0003-2610-7888</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0165-0009
ispartof Climatic change, 2017-07, Vol.143 (1-2), p.101-113
issn 0165-0009
1573-1480
language eng
recordid cdi_proquest_journals_1914450498
source ABI/INFORM Global; Springer Nature
subjects Air temperature
Assimilation
Atmospheric Sciences
Biomass
Canopies
Canopy
Carbon dioxide
Carbon dioxide atmospheric concentrations
Carbon dioxide concentration
Citrus fruits
Climate
Climate change
Climate Change/Climate Change Impacts
Climate effects
Computer simulation
Crops
Depth
Dynamical systems
Dynamics
Earth and Environmental Science
Earth Sciences
Efficiency
Fruit trees
Fruits
Growth
Intergovernmental Panel on Climate Change
Irrigation
Irrigation water
Mathematical models
Moisture content
Natural environment
Rain
Rainfall
Simulation
Soil
Soil water
System dynamics
Systems analysis
Temperature effects
Transpiration
Trees
Water
Water deficit
Water depth
Water use
Water use efficiency
title Simulation model of the growth of sweet orange (Citrus sinensis L. Osbeck) cv. Natal in response to climate change
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-22T23%3A04%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Simulation%20model%20of%20the%20growth%20of%20sweet%20orange%20(Citrus%20sinensis%20L.%20Osbeck)%20cv.%20Natal%20in%20response%20to%20climate%20change&rft.jtitle=Climatic%20change&rft.au=Pereira,%20Francisca%20Franciana%20Sousa&rft.date=2017-07-01&rft.volume=143&rft.issue=1-2&rft.spage=101&rft.epage=113&rft.pages=101-113&rft.issn=0165-0009&rft.eissn=1573-1480&rft_id=info:doi/10.1007/s10584-017-1986-0&rft_dat=%3Cproquest_cross%3E1914450498%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c359t-24606c665e91b89ac256ee6d03896780d5f6c72722edae81879166d6482bee833%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1914450498&rft_id=info:pmid/&rfr_iscdi=true