AustralieFrV1, PubMed, Checkpoint, bibRecord, 003052

Widespread decline of Congo rainforest greenness in the past decade.

Identifieur interne : 003052 ( PubMed/Checkpoint ); précédent : 003051; suivant : 003053

Widespread decline of Congo rainforest greenness in the past decade.

Auteurs : Liming Zhou [États-Unis] ; Yuhong Tian [États-Unis] ; Ranga B. Myneni [États-Unis] ; Philippe Ciais [France] ; Sassan Saatchi [États-Unis] ; Yi Y. Liu [Australie] ; Shilong Piao [République populaire de Chine] ; Haishan Chen [République populaire de Chine] ; Eric F. Vermote [États-Unis] ; Conghe Song [République populaire de Chine] ; Taehee Hwang [États-Unis]

Source :

Nature [ 1476-4687 ] ; 2014.

RBID : pubmed:24759324

Descripteurs français

KwdFr :
- Acclimatation, Arbres (croissance et développement), Arbres (métabolisme), Biodiversité, Biomasse, Bois (croissance et développement), Bois (métabolisme), Changement climatique (), Chlorophylle (analyse), Chlorophylle (métabolisme), Climat tropical, Congo, Eau (analyse), Eau (métabolisme), Facteurs temps, Feuilles de plante (croissance et développement), Feuilles de plante (métabolisme), Imagerie satellitaire, Photosynthèse, Pluie, Saisons, Sécheresses (), Température.
MESH :
- analyse : Chlorophylle, Eau.
- croissance et développement : Arbres, Bois, Feuilles de plante.
- métabolisme : Arbres, Bois, Chlorophylle, Eau, Feuilles de plante.
- Acclimatation, Biodiversité, Biomasse, Changement climatique, Climat tropical, Congo, Facteurs temps, Imagerie satellitaire, Photosynthèse, Pluie, Saisons, Sécheresses, Température.

English descriptors

KwdEn :
- Acclimatization, Biodiversity, Biomass, Chlorophyll (analysis), Chlorophyll (metabolism), Climate Change (statistics & numerical data), Congo, Droughts (statistics & numerical data), Photosynthesis, Plant Leaves (growth & development), Plant Leaves (metabolism), Rain, Satellite Imagery, Seasons, Temperature, Time Factors, Trees (growth & development), Trees (metabolism), Tropical Climate, Water (analysis), Water (metabolism), Wood (growth & development), Wood (metabolism).
MESH :
- chemical , analysis : Chlorophyll, Water.
- chemical , metabolism : Chlorophyll, Water.
- geographic : Congo.
- growth & development : Plant Leaves, Trees, Wood.
- metabolism : Plant Leaves, Trees, Wood.
- statistics & numerical data : Climate Change, Droughts.
- Acclimatization, Biodiversity, Biomass, Photosynthesis, Rain, Satellite Imagery, Seasons, Temperature, Time Factors, Tropical Climate.

Abstract

Tropical forests are global epicentres of biodiversity and important modulators of climate change, and are mainly constrained by rainfall patterns. The severe short-term droughts that occurred recently in Amazonia have drawn attention to the vulnerability of tropical forests to climatic disturbances. The central African rainforests, the second-largest on Earth, have experienced a long-term drying trend whose impacts on vegetation dynamics remain mostly unknown because in situ observations are very limited. The Congolese forest, with its drier conditions and higher percentage of semi-evergreen trees, may be more tolerant to short-term rainfall reduction than are wetter tropical forests, but for a long-term drought there may be critical thresholds of water availability below which higher-biomass, closed-canopy forests transition to more open, lower-biomass forests. Here we present observational evidence for a widespread decline in forest greenness over the past decade based on analyses of satellite data (optical, thermal, microwave and gravity) from several independent sensors over the Congo basin. This decline in vegetation greenness, particularly in the northern Congolese forest, is generally consistent with decreases in rainfall, terrestrial water storage, water content in aboveground woody and leaf biomass, and the canopy backscatter anomaly caused by changes in structure and moisture in upper forest layers. It is also consistent with increases in photosynthetically active radiation and land surface temperature. These multiple lines of evidence indicate that this large-scale vegetation browning, or loss of photosynthetic capacity, may be partially attributable to the long-term drying trend. Our results suggest that a continued gradual decline of photosynthetic capacity and moisture content driven by the persistent drying trend could alter the composition and structure of the Congolese forest to favour the spread of drought-tolerant species.

DOI: 10.1038/nature13265
PubMed: 24759324

Affiliations:

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<front><div type="abstract" xml:lang="en">Tropical forests are global epicentres of biodiversity and important modulators of climate change, and are mainly constrained by rainfall patterns. The severe short-term droughts that occurred recently in Amazonia have drawn attention to the vulnerability of tropical forests to climatic disturbances. The central African rainforests, the second-largest on Earth, have experienced a long-term drying trend whose impacts on vegetation dynamics remain mostly unknown because in situ observations are very limited. The Congolese forest, with its drier conditions and higher percentage of semi-evergreen trees, may be more tolerant to short-term rainfall reduction than are wetter tropical forests, but for a long-term drought there may be critical thresholds of water availability below which higher-biomass, closed-canopy forests transition to more open, lower-biomass forests. Here we present observational evidence for a widespread decline in forest greenness over the past decade based on analyses of satellite data (optical, thermal, microwave and gravity) from several independent sensors over the Congo basin. This decline in vegetation greenness, particularly in the northern Congolese forest, is generally consistent with decreases in rainfall, terrestrial water storage, water content in aboveground woody and leaf biomass, and the canopy backscatter anomaly caused by changes in structure and moisture in upper forest layers. It is also consistent with increases in photosynthetically active radiation and land surface temperature. These multiple lines of evidence indicate that this large-scale vegetation browning, or loss of photosynthetic capacity, may be partially attributable to the long-term drying trend. Our results suggest that a continued gradual decline of photosynthetic capacity and moisture content driven by the persistent drying trend could alter the composition and structure of the Congolese forest to favour the spread of drought-tolerant species.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">24759324</PMID>
<DateCreated><Year>2014</Year>
<Month>05</Month>
<Day>05</Day>
</DateCreated>
<DateCompleted><Year>2014</Year>
<Month>06</Month>
<Day>16</Day>
</DateCompleted>
<DateRevised><Year>2017</Year>
<Month>02</Month>
<Day>20</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1476-4687</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>509</Volume>
<Issue>7498</Issue>
<PubDate><Year>2014</Year>
<Month>May</Month>
<Day>01</Day>
</PubDate>
</JournalIssue>
<Title>Nature</Title>
<ISOAbbreviation>Nature</ISOAbbreviation>
</Journal>
<ArticleTitle>Widespread decline of Congo rainforest greenness in the past decade.</ArticleTitle>
<Pagination><MedlinePgn>86-90</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1038/nature13265</ELocationID>
<Abstract><AbstractText>Tropical forests are global epicentres of biodiversity and important modulators of climate change, and are mainly constrained by rainfall patterns. The severe short-term droughts that occurred recently in Amazonia have drawn attention to the vulnerability of tropical forests to climatic disturbances. The central African rainforests, the second-largest on Earth, have experienced a long-term drying trend whose impacts on vegetation dynamics remain mostly unknown because in situ observations are very limited. The Congolese forest, with its drier conditions and higher percentage of semi-evergreen trees, may be more tolerant to short-term rainfall reduction than are wetter tropical forests, but for a long-term drought there may be critical thresholds of water availability below which higher-biomass, closed-canopy forests transition to more open, lower-biomass forests. Here we present observational evidence for a widespread decline in forest greenness over the past decade based on analyses of satellite data (optical, thermal, microwave and gravity) from several independent sensors over the Congo basin. This decline in vegetation greenness, particularly in the northern Congolese forest, is generally consistent with decreases in rainfall, terrestrial water storage, water content in aboveground woody and leaf biomass, and the canopy backscatter anomaly caused by changes in structure and moisture in upper forest layers. It is also consistent with increases in photosynthetically active radiation and land surface temperature. These multiple lines of evidence indicate that this large-scale vegetation browning, or loss of photosynthetic capacity, may be partially attributable to the long-term drying trend. Our results suggest that a continued gradual decline of photosynthetic capacity and moisture content driven by the persistent drying trend could alter the composition and structure of the Congolese forest to favour the spread of drought-tolerant species.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Zhou</LastName>
<ForeName>Liming</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Department of Atmospheric and Environmental Sciences, University at Albany, State University of New York (SUNY), Albany, New York 12222, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tian</LastName>
<ForeName>Yuhong</ForeName>
<Initials>Y</Initials>
<AffiliationInfo><Affiliation>I. M. Systems Group (IMSG), National Oceanic and Atmospheric Administration/National Environmental Satellite, Data, and Information Service/The Center for Satellite Applications and Research (NOAA/NESDIS/STAR), 5830 University Research Court, College Park, Maryland 20740, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Myneni</LastName>
<ForeName>Ranga B</ForeName>
<Initials>RB</Initials>
<AffiliationInfo><Affiliation>Department of Earth and Environment, Boston University, Boston, Massachusetts 02215, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Ciais</LastName>
<ForeName>Philippe</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Laboratoire des Sciences du Climat et de l'Environnement (LSCE), CEA-CNRS-UVSQ, 91191 Gif sur Yvette Cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Saatchi</LastName>
<ForeName>Sassan</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Jet Propulsion Laboratory, Pasadena, California 91109, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Liu</LastName>
<ForeName>Yi Y</ForeName>
<Initials>YY</Initials>
<AffiliationInfo><Affiliation>ARC Centre of Excellence for Climate Systems Science & Climate Change Research Centre, University of New South Wales, Sydney, New South Wales 2052, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Piao</LastName>
<ForeName>Shilong</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Department of Ecology, College of Urban and Environmental Sciences, Peking University, Beijing 100871, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chen</LastName>
<ForeName>Haishan</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Key Laboratory of Meteorological Disaster, Ministry of Education, Nanjing University of Information Science and Technology, Nanjing 210044, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Vermote</LastName>
<ForeName>Eric F</ForeName>
<Initials>EF</Initials>
<AffiliationInfo><Affiliation>NASA Goddard Space Flight Center, Code 619, Greenbelt, Maryland 20771, USA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Song</LastName>
<ForeName>Conghe</ForeName>
<Initials>C</Initials>
<AffiliationInfo><Affiliation>1] Department of Geography, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 29599, USA [2] School of Forestry and Landscape Architecture, Anhui Agricultural University, Hefei, Anhui 230036, China.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Hwang</LastName>
<ForeName>Taehee</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>Institute for the Environment, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 29599, USA.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
<PublicationType UI="D013486">Research Support, U.S. Gov't, Non-P.H.S.</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2014</Year>
<Month>04</Month>
<Day>23</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>England</Country>
<MedlineTA>Nature</MedlineTA>
<NlmUniqueID>0410462</NlmUniqueID>
<ISSNLinking>0028-0836</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>059QF0KO0R</RegistryNumber>
<NameOfSubstance UI="D014867">Water</NameOfSubstance>
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<Chemical><RegistryNumber>1406-65-1</RegistryNumber>
<NameOfSubstance UI="D002734">Chlorophyll</NameOfSubstance>
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</CommentsCorrectionsList>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000064" MajorTopicYN="N">Acclimatization</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D044822" MajorTopicYN="N">Biodiversity</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018533" MajorTopicYN="N">Biomass</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002734" MajorTopicYN="N">Chlorophyll</DescriptorName>
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<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
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<MeshHeading><DescriptorName UI="D003223" MajorTopicYN="N" Type="Geographic">Congo</DescriptorName>
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<MeshHeading><DescriptorName UI="D055864" MajorTopicYN="N">Droughts</DescriptorName>
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</MeshHeading>
<MeshHeading><DescriptorName UI="D010788" MajorTopicYN="N">Photosynthesis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018515" MajorTopicYN="N">Plant Leaves</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011891" MajorTopicYN="Y">Rain</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D063809" MajorTopicYN="N">Satellite Imagery</DescriptorName>
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<MeshHeading><DescriptorName UI="D012621" MajorTopicYN="N">Seasons</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013696" MajorTopicYN="N">Temperature</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014329" MajorTopicYN="Y">Tropical Climate</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014867" MajorTopicYN="N">Water</DescriptorName>
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<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014934" MajorTopicYN="N">Wood</DescriptorName>
<QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="N">metabolism</QualifierName>
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<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2013</Year>
<Month>08</Month>
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<PubMedPubDate PubStatus="accepted"><Year>2014</Year>
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<affiliations><list><country><li>Australie</li>
<li>France</li>
<li>République populaire de Chine</li>
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<region><li>Caroline du Nord</li>
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<settlement><li>Chapel Hill (Caroline du Nord)</li>
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<tree><country name="États-Unis"><noRegion><name sortKey="Zhou, Liming" sort="Zhou, Liming" uniqKey="Zhou L" first="Liming" last="Zhou">Liming Zhou</name>
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<name sortKey="Tian, Yuhong" sort="Tian, Yuhong" uniqKey="Tian Y" first="Yuhong" last="Tian">Yuhong Tian</name>
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<country name="République populaire de Chine"><noRegion><name sortKey="Piao, Shilong" sort="Piao, Shilong" uniqKey="Piao S" first="Shilong" last="Piao">Shilong Piao</name>
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Widespread decline of Congo rainforest greenness in the past decade.

Widespread decline of Congo rainforest greenness in the past decade.

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