A global yield dataset for major lignocellulosic bioenergy crops based on field measurements.
Identifieur interne : 001079 ( Main/Exploration ); précédent : 001078; suivant : 001080A global yield dataset for major lignocellulosic bioenergy crops based on field measurements.
Auteurs : Wei Li [France] ; Philippe Ciais [France] ; David Makowski [France] ; Shushi Peng [République populaire de Chine]Source :
- Scientific data [ 2052-4463 ] ; 2018.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical : Biofuels.
- Agriculture, Biomass, Climate Change, Crops, Agricultural.
Abstract
Reliable data on biomass produced by lignocellulosic bioenergy crops are essential to identify sustainable bioenergy sources. Field studies have been performed for decades on bioenergy crops, but only a small proportion of the available data is used to explore future land use scenarios including bioenergy crops. A global dataset of biomass production for key lignocellulosic bioenergy crops is thus needed to disentangle the factors impacting biomass production in different regions. Such dataset will be also useful to develop and assess bioenergy crop modelling in integrated assessment socio-economic models and global vegetation models. Here, we compiled and described a global biomass yield dataset based on field measurements. We extracted 5,088 entries of data from 257 published studies for five main lingocellulosic bioenergy crops: eucalypt, Miscanthus, poplar, switchgrass, and willow. Data are from 355 geographic sites in 31 countries around the world. We also documented the species, plantation practices, climate conditions, soil property, and managements. Our dataset can be used to identify productive bioenergy species over a large range of environments.
DOI: 10.1038/sdata.2018.169
PubMed: 30129935
PubMed Central: PMC6107052
Affiliations:
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Field studies have been performed for decades on bioenergy crops, but only a small proportion of the available data is used to explore future land use scenarios including bioenergy crops. A global dataset of biomass production for key lignocellulosic bioenergy crops is thus needed to disentangle the factors impacting biomass production in different regions. Such dataset will be also useful to develop and assess bioenergy crop modelling in integrated assessment socio-economic models and global vegetation models. Here, we compiled and described a global biomass yield dataset based on field measurements. We extracted 5,088 entries of data from 257 published studies for five main lingocellulosic bioenergy crops: eucalypt, Miscanthus, poplar, switchgrass, and willow. Data are from 355 geographic sites in 31 countries around the world. We also documented the species, plantation practices, climate conditions, soil property, and managements. Our dataset can be used to identify productive bioenergy species over a large range of environments.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">30129935</PMID><DateCompleted><Year>2019</Year><Month>03</Month><Day>08</Day></DateCompleted><DateRevised><Year>2019</Year><Month>03</Month><Day>08</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">2052-4463</ISSN><JournalIssue CitedMedium="Internet"><Volume>5</Volume><PubDate><Year>2018</Year><Month>08</Month><Day>21</Day></PubDate></JournalIssue><Title>Scientific data</Title><ISOAbbreviation>Sci Data</ISOAbbreviation></Journal><ArticleTitle>A global yield dataset for major lignocellulosic bioenergy crops based on field measurements.</ArticleTitle><Pagination><MedlinePgn>180169</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1038/sdata.2018.169</ELocationID><Abstract><AbstractText>Reliable data on biomass produced by lignocellulosic bioenergy crops are essential to identify sustainable bioenergy sources. Field studies have been performed for decades on bioenergy crops, but only a small proportion of the available data is used to explore future land use scenarios including bioenergy crops. A global dataset of biomass production for key lignocellulosic bioenergy crops is thus needed to disentangle the factors impacting biomass production in different regions. Such dataset will be also useful to develop and assess bioenergy crop modelling in integrated assessment socio-economic models and global vegetation models. Here, we compiled and described a global biomass yield dataset based on field measurements. We extracted 5,088 entries of data from 257 published studies for five main lingocellulosic bioenergy crops: eucalypt, Miscanthus, poplar, switchgrass, and willow. Data are from 355 geographic sites in 31 countries around the world. We also documented the species, plantation practices, climate conditions, soil property, and managements. Our dataset can be used to identify productive bioenergy species over a large range of environments.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Li</LastName><ForeName>Wei</ForeName><Initials>W</Initials><Identifier Source="ORCID">0000-0003-2543-2558</Identifier><AffiliationInfo><Affiliation>Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette 91191, France.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Ciais</LastName><ForeName>Philippe</ForeName><Initials>P</Initials><Identifier Source="ORCID">0000-0001-8560-4943</Identifier><AffiliationInfo><Affiliation>Laboratoire des Sciences du Climat et de l'Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette 91191, France.</Affiliation></AffiliationInfo></Author><Author 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Pékin</li></orgName></list><tree><country name="France"><region name="Île-de-France"><name sortKey="Li, Wei" sort="Li, Wei" uniqKey="Li W" first="Wei" last="Li">Wei Li</name></region><name sortKey="Ciais, Philippe" sort="Ciais, Philippe" uniqKey="Ciais P" first="Philippe" last="Ciais">Philippe Ciais</name><name sortKey="Makowski, David" sort="Makowski, David" uniqKey="Makowski D" first="David" last="Makowski">David Makowski</name></country><country name="République populaire de Chine"><noRegion><name sortKey="Peng, Shushi" sort="Peng, Shushi" uniqKey="Peng S" first="Shushi" last="Peng">Shushi Peng</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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