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A global yield dataset for major lignocellulosic bioenergy crops based on field measurements
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 bio...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107052/ https://www.ncbi.nlm.nih.gov/pubmed/30129935 http://dx.doi.org/10.1038/sdata.2018.169 |
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author | Li, Wei Ciais, Philippe Makowski, David Peng, Shushi |
author_facet | Li, Wei Ciais, Philippe Makowski, David Peng, Shushi |
author_sort | Li, Wei |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6107052 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-61070522018-08-24 A global yield dataset for major lignocellulosic bioenergy crops based on field measurements Li, Wei Ciais, Philippe Makowski, David Peng, Shushi Sci Data Data Descriptor 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. Nature Publishing Group 2018-08-21 /pmc/articles/PMC6107052/ /pubmed/30129935 http://dx.doi.org/10.1038/sdata.2018.169 Text en Copyright © 2018, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article. |
spellingShingle | Data Descriptor Li, Wei Ciais, Philippe Makowski, David Peng, Shushi A global yield dataset for major lignocellulosic bioenergy crops based on field measurements |
title | A global yield dataset for major lignocellulosic bioenergy crops based on field measurements |
title_full | A global yield dataset for major lignocellulosic bioenergy crops based on field measurements |
title_fullStr | A global yield dataset for major lignocellulosic bioenergy crops based on field measurements |
title_full_unstemmed | A global yield dataset for major lignocellulosic bioenergy crops based on field measurements |
title_short | A global yield dataset for major lignocellulosic bioenergy crops based on field measurements |
title_sort | global yield dataset for major lignocellulosic bioenergy crops based on field measurements |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6107052/ https://www.ncbi.nlm.nih.gov/pubmed/30129935 http://dx.doi.org/10.1038/sdata.2018.169 |
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