Altered water uptake patterns of Populus deltoides in mixed riparian forest stands.
Identifieur interne : 000569 ( Main/Exploration ); précédent : 000568; suivant : 000570Altered water uptake patterns of Populus deltoides in mixed riparian forest stands.
Auteurs : Beibei Zhang [République populaire de Chine] ; Qing Xu [République populaire de Chine] ; Deqiang Gao [République populaire de Chine] ; Chunwu Jiang [République populaire de Chine] ; Futing Liu [République populaire de Chine] ; Jing Jiang [Canada] ; Ting Wang [République populaire de Chine]Source :
- The Science of the total environment [ 1879-1026 ] ; 2020.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
Abstract
Plant water uptake plays an important role in regulating ecosystem water balance and its productivity. However, previous studies regarding plant water uptake were primarily conducted in wet areas under seasonal drought conditions, with a limited understanding of the proportion and drivers of plant water uptake under humid conditions. Actually, climate change and variations in global precipitation patterns could simultaneously trigger seasonal drought and flooding. Therefore, it is critical to explore patterns and mechanisms for plant water uptake under humid conditions in wet regions. Here, we employed dual stable isotopes of hydrogen and oxygen coupled with a Bayesian mixing model (MixSIAR) to explore the water uptake patterns of Populus deltoides in two types of riparian forests (pure vs. mixed stand of P. deltoides), under different magnitudes of rainfall (7.9, 15.4 and 34.1 mm), in the Middle-Lower Reaches of the Yangtze River in China. We further used both partial correlation and variation partitioning analyses to determine the relative importance of soil variables and plant properties affecting the proportion of P. deltoides water uptake from different soil layers. Our results revealed that compared to pure stands, P. deltoides in mixed stands had a lower water uptake proportion from deep soil layers (60-80, 80-100 cm) and had higher water uptake from shallow soil layers (0-20, 20-40 cm) under 15.4 mm and 34.1 mm rainfall events. Our results also revealed that plant properties such as leaf biomass, fine root biomass, and diameter at breast height were the primary factors influencing water uptake by P. deltoides. This suggests that P. deltoides in mixed stands could increase the proportion of water uptake from shallow soil layers through altering plant attributes. These findings indicate that mixed stands could restrain frequent extreme rainfall events and subsequent flooding, suggesting more resilience towards future climatic variability.
DOI: 10.1016/j.scitotenv.2019.135956
PubMed: 31846884
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Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Xu, Qing" sort="Xu, Qing" uniqKey="Xu Q" first="Qing" last="Xu">Qing Xu</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China. Electronic address: xuqing@caf.ac.cn.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Gao, Deqiang" sort="Gao, Deqiang" uniqKey="Gao D" first="Deqiang" last="Gao">Deqiang Gao</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Jiang, Chunwu" sort="Jiang, Chunwu" uniqKey="Jiang C" first="Chunwu" last="Jiang">Chunwu Jiang</name><affiliation wicri:level="1"><nlm:affiliation>Anhui Academy of Forestry, Hefei 230001, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Anhui Academy of Forestry, Hefei 230001</wicri:regionArea><placeName><settlement type="city">Hefei</settlement><region type="province">Anhui</region></placeName></affiliation></author><author><name sortKey="Liu, Futing" sort="Liu, Futing" uniqKey="Liu F" first="Futing" last="Liu">Futing Liu</name><affiliation wicri:level="1"><nlm:affiliation>Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author><author><name sortKey="Jiang, Jing" sort="Jiang, Jing" uniqKey="Jiang J" first="Jing" last="Jiang">Jing Jiang</name><affiliation wicri:level="4"><nlm:affiliation>University of Calgary, Calgary T2N1N4, Canada.</nlm:affiliation><country xml:lang="fr">Canada</country><wicri:regionArea>University of Calgary, Calgary T2N1N4</wicri:regionArea><placeName><settlement type="city">Calgary</settlement><region type="state">Alberta</region></placeName><orgName type="university">Université de Calgary</orgName><placeName><settlement type="city">Calgary</settlement><region type="state">Alberta</region></placeName></affiliation></author><author><name sortKey="Wang, Ting" sort="Wang, Ting" uniqKey="Wang T" first="Ting" last="Wang">Ting Wang</name><affiliation wicri:level="1"><nlm:affiliation>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091</wicri:regionArea><placeName><settlement type="city">Pékin</settlement></placeName></affiliation></author></analytic><series><title level="j">The Science of the total environment</title><idno type="eISSN">1879-1026</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Bayes Theorem (MeSH)</term><term>China (MeSH)</term><term>Forests (MeSH)</term><term>Populus (MeSH)</term><term>Soil (MeSH)</term><term>Water (MeSH)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Chine (MeSH)</term><term>Eau (MeSH)</term><term>Forêts (MeSH)</term><term>Populus (MeSH)</term><term>Sol (MeSH)</term><term>Théorème de Bayes (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Soil</term><term>Water</term></keywords><keywords scheme="MESH" type="geographic" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Bayes Theorem</term><term>Forests</term><term>Populus</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Chine</term><term>Eau</term><term>Forêts</term><term>Populus</term><term>Sol</term><term>Théorème de Bayes</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Plant water uptake plays an important role in regulating ecosystem water balance and its productivity. However, previous studies regarding plant water uptake were primarily conducted in wet areas under seasonal drought conditions, with a limited understanding of the proportion and drivers of plant water uptake under humid conditions. Actually, climate change and variations in global precipitation patterns could simultaneously trigger seasonal drought and flooding. Therefore, it is critical to explore patterns and mechanisms for plant water uptake under humid conditions in wet regions. Here, we employed dual stable isotopes of hydrogen and oxygen coupled with a Bayesian mixing model (MixSIAR) to explore the water uptake patterns of Populus deltoides in two types of riparian forests (pure vs. mixed stand of P. deltoides), under different magnitudes of rainfall (7.9, 15.4 and 34.1 mm), in the Middle-Lower Reaches of the Yangtze River in China. We further used both partial correlation and variation partitioning analyses to determine the relative importance of soil variables and plant properties affecting the proportion of P. deltoides water uptake from different soil layers. Our results revealed that compared to pure stands, P. deltoides in mixed stands had a lower water uptake proportion from deep soil layers (60-80, 80-100 cm) and had higher water uptake from shallow soil layers (0-20, 20-40 cm) under 15.4 mm and 34.1 mm rainfall events. Our results also revealed that plant properties such as leaf biomass, fine root biomass, and diameter at breast height were the primary factors influencing water uptake by P. deltoides. This suggests that P. deltoides in mixed stands could increase the proportion of water uptake from shallow soil layers through altering plant attributes. These findings indicate that mixed stands could restrain frequent extreme rainfall events and subsequent flooding, suggesting more resilience towards future climatic variability.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">31846884</PMID><DateCompleted><Year>2020</Year><Month>03</Month><Day>30</Day></DateCompleted><DateRevised><Year>2020</Year><Month>03</Month><Day>30</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1879-1026</ISSN><JournalIssue CitedMedium="Internet"><Volume>706</Volume><PubDate><Year>2020</Year><Month>Mar</Month><Day>01</Day></PubDate></JournalIssue><Title>The Science of the total environment</Title><ISOAbbreviation>Sci Total Environ</ISOAbbreviation></Journal><ArticleTitle>Altered water uptake patterns of Populus deltoides in mixed riparian forest stands.</ArticleTitle><Pagination><MedlinePgn>135956</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S0048-9697(19)35951-0</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.scitotenv.2019.135956</ELocationID><Abstract><AbstractText>Plant water uptake plays an important role in regulating ecosystem water balance and its productivity. However, previous studies regarding plant water uptake were primarily conducted in wet areas under seasonal drought conditions, with a limited understanding of the proportion and drivers of plant water uptake under humid conditions. Actually, climate change and variations in global precipitation patterns could simultaneously trigger seasonal drought and flooding. Therefore, it is critical to explore patterns and mechanisms for plant water uptake under humid conditions in wet regions. Here, we employed dual stable isotopes of hydrogen and oxygen coupled with a Bayesian mixing model (MixSIAR) to explore the water uptake patterns of Populus deltoides in two types of riparian forests (pure vs. mixed stand of P. deltoides), under different magnitudes of rainfall (7.9, 15.4 and 34.1 mm), in the Middle-Lower Reaches of the Yangtze River in China. We further used both partial correlation and variation partitioning analyses to determine the relative importance of soil variables and plant properties affecting the proportion of P. deltoides water uptake from different soil layers. Our results revealed that compared to pure stands, P. deltoides in mixed stands had a lower water uptake proportion from deep soil layers (60-80, 80-100 cm) and had higher water uptake from shallow soil layers (0-20, 20-40 cm) under 15.4 mm and 34.1 mm rainfall events. Our results also revealed that plant properties such as leaf biomass, fine root biomass, and diameter at breast height were the primary factors influencing water uptake by P. deltoides. This suggests that P. deltoides in mixed stands could increase the proportion of water uptake from shallow soil layers through altering plant attributes. These findings indicate that mixed stands could restrain frequent extreme rainfall events and subsequent flooding, suggesting more resilience towards future climatic variability.</AbstractText><CopyrightInformation>Copyright © 2019 Elsevier B.V. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhang</LastName><ForeName>Beibei</ForeName><Initials>B</Initials><AffiliationInfo><Affiliation>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Xu</LastName><ForeName>Qing</ForeName><Initials>Q</Initials><AffiliationInfo><Affiliation>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China. Electronic address: xuqing@caf.ac.cn.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Gao</LastName><ForeName>Deqiang</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jiang</LastName><ForeName>Chunwu</ForeName><Initials>C</Initials><AffiliationInfo><Affiliation>Anhui Academy of Forestry, Hefei 230001, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Liu</LastName><ForeName>Futing</ForeName><Initials>F</Initials><AffiliationInfo><Affiliation>Research Institute of Forestry, Chinese Academy of Forestry, Beijing 100091, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jiang</LastName><ForeName>Jing</ForeName><Initials>J</Initials><AffiliationInfo><Affiliation>University of Calgary, Calgary T2N1N4, Canada.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Wang</LastName><ForeName>Ting</ForeName><Initials>T</Initials><AffiliationInfo><Affiliation>Key Laboratory of Forest Ecology and Environment of State Forestry and Grassland Administration, Institute of Forest Ecology, Environment and Protection, Chinese Academy of Forestry, Beijing 100091, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2019</Year><Month>12</Month><Day>06</Day></ArticleDate></Article><MedlineJournalInfo><Country>Netherlands</Country><MedlineTA>Sci Total Environ</MedlineTA><NlmUniqueID>0330500</NlmUniqueID><ISSNLinking>0048-9697</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D012987">Soil</NameOfSubstance></Chemical><Chemical><RegistryNumber>059QF0KO0R</RegistryNumber><NameOfSubstance UI="D014867">Water</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D001499" MajorTopicYN="N">Bayes Theorem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065928" MajorTopicYN="N">Forests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D032107" MajorTopicYN="Y">Populus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012987" MajorTopicYN="N">Soil</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014867" MajorTopicYN="N">Water</DescriptorName></MeshHeading></MeshHeadingList><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Bayesian mixing model</Keyword><Keyword MajorTopicYN="N">Plant water uptake</Keyword><Keyword MajorTopicYN="N">Precipitation change</Keyword><Keyword MajorTopicYN="N">Stable isotopes</Keyword><Keyword MajorTopicYN="N">Stand properties</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year><Month>08</Month><Day>21</Day></PubMedPubDate><PubMedPubDate PubStatus="revised"><Year>2019</Year><Month>12</Month><Day>03</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2019</Year><Month>12</Month><Day>04</Day></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2019</Year><Month>12</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2020</Year><Month>3</Month><Day>31</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2019</Year><Month>12</Month><Day>18</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">31846884</ArticleId><ArticleId IdType="pii">S0048-9697(19)35951-0</ArticleId><ArticleId IdType="doi">10.1016/j.scitotenv.2019.135956</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>Canada</li><li>République populaire de Chine</li></country><region><li>Alberta</li><li>Anhui</li></region><settlement><li>Calgary</li><li>Hefei</li><li>Pékin</li></settlement><orgName><li>Université de Calgary</li></orgName></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Zhang, Beibei" sort="Zhang, Beibei" uniqKey="Zhang B" first="Beibei" last="Zhang">Beibei Zhang</name></noRegion><name sortKey="Gao, Deqiang" sort="Gao, Deqiang" uniqKey="Gao D" first="Deqiang" last="Gao">Deqiang Gao</name><name sortKey="Jiang, Chunwu" sort="Jiang, Chunwu" uniqKey="Jiang C" first="Chunwu" last="Jiang">Chunwu Jiang</name><name sortKey="Liu, Futing" sort="Liu, Futing" uniqKey="Liu F" first="Futing" last="Liu">Futing Liu</name><name sortKey="Wang, Ting" sort="Wang, Ting" uniqKey="Wang T" first="Ting" last="Wang">Ting Wang</name><name sortKey="Xu, Qing" sort="Xu, Qing" uniqKey="Xu Q" first="Qing" last="Xu">Qing Xu</name></country><country name="Canada"><region name="Alberta"><name sortKey="Jiang, Jing" sort="Jiang, Jing" uniqKey="Jiang J" first="Jing" last="Jiang">Jing Jiang</name></region></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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