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JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1
We describe developments to the land surface model JULES, allowing for flexible user-prescribed harvest regimes of various perennial bioenergy crops or natural vegetation types. Our aim is to integrate the most useful aspects of dedicated bioenergy models into dynamic global vegetation models, in or...
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| Published in: | Geoscientific Model Development 2020-03, Vol.13 (3), p.1123-1136 |
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| container_title | Geoscientific Model Development |
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| creator | Littleton, Emma W. Harper, Anna B. Vaughan, Naomi E. Oliver, Rebecca J. Duran-Rojas, Maria Carolina Lenton, Timothy M. |
| description | We describe developments to the land surface model JULES,
allowing for flexible user-prescribed harvest regimes of various perennial
bioenergy crops or natural vegetation types. Our aim is to integrate the
most useful aspects of dedicated bioenergy models into dynamic global
vegetation models, in order that assessment of bioenergy options can benefit
from state-of-the-art Earth system modelling. A new plant functional type
(PFT) representing Miscanthus is also presented. The Miscanthus PFT fits well with growth
parameters observed at a site in Lincolnshire, UK; however, global observed
yields of Miscanthus are far more variable than is captured by the model, primarily
owing to the model's lack of representation of crop age and establishment
time. Global expansion of bioenergy crop areas under a 2 ∘C
emissions scenario and balanced greenhouse gas mitigation strategy from the
IMAGE integrated assessment model (RCP2.6-SSP2) achieves a mean yield of 4.3 billion tonnes of dry matter per year over 2040–2099, around 30 % higher
than the biomass availability projected by IMAGE. In addition to perennial
grasses, JULES-BE can also be used to represent short-rotation coppicing,
residue harvesting from cropland or forestry and rotation forestry. |
| doi_str_mv | 10.5194/gmd-13-1123-2020 |
| format | article |
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allowing for flexible user-prescribed harvest regimes of various perennial
bioenergy crops or natural vegetation types. Our aim is to integrate the
most useful aspects of dedicated bioenergy models into dynamic global
vegetation models, in order that assessment of bioenergy options can benefit
from state-of-the-art Earth system modelling. A new plant functional type
(PFT) representing Miscanthus is also presented. The Miscanthus PFT fits well with growth
parameters observed at a site in Lincolnshire, UK; however, global observed
yields of Miscanthus are far more variable than is captured by the model, primarily
owing to the model's lack of representation of crop age and establishment
time. Global expansion of bioenergy crop areas under a 2 ∘C
emissions scenario and balanced greenhouse gas mitigation strategy from the
IMAGE integrated assessment model (RCP2.6-SSP2) achieves a mean yield of 4.3 billion tonnes of dry matter per year over 2040–2099, around 30 % higher
than the biomass availability projected by IMAGE. In addition to perennial
grasses, JULES-BE can also be used to represent short-rotation coppicing,
residue harvesting from cropland or forestry and rotation forestry.</description><identifier>ISSN: 1991-9603</identifier><identifier>ISSN: 1991-962X</identifier><identifier>ISSN: 1991-959X</identifier><identifier>EISSN: 1991-9603</identifier><identifier>EISSN: 1991-962X</identifier><identifier>DOI: 10.5194/gmd-13-1123-2020</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Agricultural land ; Biomass ; Biomass energy ; Carbon ; Carbon cycle ; Climate change ; Computer simulation ; Coppicing ; Corn ; Crop residues ; Crops ; Dry matter ; Energy crops ; Food ; Forest management ; Forestry ; Grasses ; Greenhouse effect ; Greenhouse gases ; Growth models ; Harvest ; Land surface models ; Lignocellulose ; Miscanthus ; Mitigation ; Natural vegetation ; Perennial crops ; Productivity ; Renewable energy ; Representations ; Rotation ; Simulators ; Vegetation</subject><ispartof>Geoscientific Model Development, 2020-03, Vol.13 (3), p.1123-1136</ispartof><rights>2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c379t-7f953393020333a538463cb17de6957292415d6b3e75a43642e426ff66b5f4523</citedby><cites>FETCH-LOGICAL-c379t-7f953393020333a538463cb17de6957292415d6b3e75a43642e426ff66b5f4523</cites><orcidid>0000-0001-5576-5498 ; 0000-0001-7294-6039 ; 0000-0001-9762-1273</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2414085218/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2414085218?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,25753,27924,27925,37012,44590,75126</link.rule.ids></links><search><creatorcontrib>Littleton, Emma W.</creatorcontrib><creatorcontrib>Harper, Anna B.</creatorcontrib><creatorcontrib>Vaughan, Naomi E.</creatorcontrib><creatorcontrib>Oliver, Rebecca J.</creatorcontrib><creatorcontrib>Duran-Rojas, Maria Carolina</creatorcontrib><creatorcontrib>Lenton, Timothy M.</creatorcontrib><title>JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1</title><title>Geoscientific Model Development</title><description>We describe developments to the land surface model JULES,
allowing for flexible user-prescribed harvest regimes of various perennial
bioenergy crops or natural vegetation types. Our aim is to integrate the
most useful aspects of dedicated bioenergy models into dynamic global
vegetation models, in order that assessment of bioenergy options can benefit
from state-of-the-art Earth system modelling. A new plant functional type
(PFT) representing Miscanthus is also presented. The Miscanthus PFT fits well with growth
parameters observed at a site in Lincolnshire, UK; however, global observed
yields of Miscanthus are far more variable than is captured by the model, primarily
owing to the model's lack of representation of crop age and establishment
time. Global expansion of bioenergy crop areas under a 2 ∘C
emissions scenario and balanced greenhouse gas mitigation strategy from the
IMAGE integrated assessment model (RCP2.6-SSP2) achieves a mean yield of 4.3 billion tonnes of dry matter per year over 2040–2099, around 30 % higher
than the biomass availability projected by IMAGE. In addition to perennial
grasses, JULES-BE can also be used to represent short-rotation coppicing,
residue harvesting from cropland or forestry and rotation forestry.</description><subject>Agricultural land</subject><subject>Biomass</subject><subject>Biomass energy</subject><subject>Carbon</subject><subject>Carbon cycle</subject><subject>Climate change</subject><subject>Computer simulation</subject><subject>Coppicing</subject><subject>Corn</subject><subject>Crop residues</subject><subject>Crops</subject><subject>Dry matter</subject><subject>Energy crops</subject><subject>Food</subject><subject>Forest management</subject><subject>Forestry</subject><subject>Grasses</subject><subject>Greenhouse effect</subject><subject>Greenhouse gases</subject><subject>Growth models</subject><subject>Harvest</subject><subject>Land surface models</subject><subject>Lignocellulose</subject><subject>Miscanthus</subject><subject>Mitigation</subject><subject>Natural vegetation</subject><subject>Perennial crops</subject><subject>Productivity</subject><subject>Renewable energy</subject><subject>Representations</subject><subject>Rotation</subject><subject>Simulators</subject><subject>Vegetation</subject><issn>1991-9603</issn><issn>1991-962X</issn><issn>1991-959X</issn><issn>1991-9603</issn><issn>1991-962X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNpNUcFuGjEQtapWakpy79FSzkttj-1d59ZGJIUg5UA4W2Z3DKZgU--CxN_XlKrKaUYzT2_evEfIV87Gihv5bb3vKg4V5wIqwQT7QG64MbwymsHHd_1n8qXvt4xpU-v6hvyaLeeTRfVj8kAzHjL2GAc3hBRp8nQVEkbM6zNtczr01MWOblw-YT-EuKYh0mGDdJZCHOjyhc4v-0k8hZzivvDQRdgfd25ImZ6iGvNb8sm7XY93_-qILJ8mb48_q_nr8_Tx-7xqoTZDVXujAAyUJwDAKWikhnbF6w61UbUwQnLV6RVgrZwELQVKob3XeqW8VAJGZHrl7ZLb2kMOe5fPNrlg_w5SXluXh9Du0IIQ6HTroWuclG3dcG-aBrXoDKIodo3I_ZXrkNPvY3ncbtMxxyLfFhmSNUrwpqDYFVV86vuM_v9VzuwlHlvisRzsJR57iQf-AKT3gKs</recordid><startdate>20200311</startdate><enddate>20200311</enddate><creator>Littleton, Emma W.</creator><creator>Harper, Anna B.</creator><creator>Vaughan, Naomi E.</creator><creator>Oliver, Rebecca J.</creator><creator>Duran-Rojas, Maria Carolina</creator><creator>Lenton, Timothy M.</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M7S</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-5576-5498</orcidid><orcidid>https://orcid.org/0000-0001-7294-6039</orcidid><orcidid>https://orcid.org/0000-0001-9762-1273</orcidid></search><sort><creationdate>20200311</creationdate><title>JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1</title><author>Littleton, Emma W. ; 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allowing for flexible user-prescribed harvest regimes of various perennial
bioenergy crops or natural vegetation types. Our aim is to integrate the
most useful aspects of dedicated bioenergy models into dynamic global
vegetation models, in order that assessment of bioenergy options can benefit
from state-of-the-art Earth system modelling. A new plant functional type
(PFT) representing Miscanthus is also presented. The Miscanthus PFT fits well with growth
parameters observed at a site in Lincolnshire, UK; however, global observed
yields of Miscanthus are far more variable than is captured by the model, primarily
owing to the model's lack of representation of crop age and establishment
time. Global expansion of bioenergy crop areas under a 2 ∘C
emissions scenario and balanced greenhouse gas mitigation strategy from the
IMAGE integrated assessment model (RCP2.6-SSP2) achieves a mean yield of 4.3 billion tonnes of dry matter per year over 2040–2099, around 30 % higher
than the biomass availability projected by IMAGE. In addition to perennial
grasses, JULES-BE can also be used to represent short-rotation coppicing,
residue harvesting from cropland or forestry and rotation forestry.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/gmd-13-1123-2020</doi><tpages>14</tpages><orcidid>https://orcid.org/0000-0001-5576-5498</orcidid><orcidid>https://orcid.org/0000-0001-7294-6039</orcidid><orcidid>https://orcid.org/0000-0001-9762-1273</orcidid><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1991-9603 |
| ispartof | Geoscientific Model Development, 2020-03, Vol.13 (3), p.1123-1136 |
| issn | 1991-9603 1991-962X 1991-959X 1991-9603 1991-962X |
| language | eng |
| recordid | cdi_proquest_journals_2414085218 |
| source | Publicly Available Content Database |
| subjects | Agricultural land Biomass Biomass energy Carbon Carbon cycle Climate change Computer simulation Coppicing Corn Crop residues Crops Dry matter Energy crops Food Forest management Forestry Grasses Greenhouse effect Greenhouse gases Growth models Harvest Land surface models Lignocellulose Miscanthus Mitigation Natural vegetation Perennial crops Productivity Renewable energy Representations Rotation Simulators Vegetation |
| title | JULES-BE: representation of bioenergy crops and harvesting in the Joint UK Land Environment Simulator vn5.1 |
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