Landscape patterns of bioenergy in a changing climate: implications for crop allocation and land-use competition.
Identifieur interne : 001797 ( Main/Exploration ); précédent : 001796; suivant : 001798Landscape patterns of bioenergy in a changing climate: implications for crop allocation and land-use competition.
Auteurs : Rose A. Graves ; Scott M. Pearson ; Monica G. TurnerSource :
- Ecological applications : a publication of the Ecological Society of America [ 1051-0761 ] ; 2016.
Descripteurs français
- KwdFr :
- MESH :
English descriptors
- KwdEn :
- MESH :
- chemical : Biofuels.
- geographic : North Carolina.
- Agriculture, Climate Change, Conservation of Natural Resources, Crops, Agricultural, Ecosystem.
Abstract
Rural landscapes face changing climate, shifting development pressure, and loss of agricultural land. Perennial bioenergy crops grown on existing agricultural land may provide an opportunity to conserve rural landscapes while addressing increased demand for biofuels. However, increased bioenergy production and changing land use raise concerns for tradeoffs within the food-energy-environment trilemma. Heterogeneity of climate, soils, and land use complicate assessment of bioenergy potential in complex landscapes, creating challenges to evaluating future tradeoffs. The hypothesis addressed herein is that perennial bioenergy production can provide an opportunity to avoid agricultural land conversion to development. Using a process-based crop model, we assessed potential bioenergy crop growth through 2100 in a southern Appalachian Mountain region and asked: (1) how mean annual yield differed among three crops (switchgrass Panicum virgatum, giant miscanthus Miscanthus x giganteus, and hybrid poplar Populus x sp.) under current climate and climate change scenarios resulting from moderate and very high greenhouse gas emissions; (2) how maximum landscape yield, spatial allocation of crops, and bioenergy hotspots (areas with highest potential yield) varied among climate scenarios; and (3) how bioenergy hotspots overlapped with current crop production or lands with high development pressure. Under both climate change scenarios, mean annual yield of perennial grasses decreased (-4% to -39%), but yield of hybrid poplar increased (+8% to +20%) which suggests that a switch to woody crops would maximize bioenergy crop production. In total, maximum landscape yield increased by up to 90 000 Mg/yr (6%) in the 21st century due to increased poplar production. Bioenergy hotspots (> 18 Mg x ha(-1) x yr(-1)) consistently overlapped with high suburban/exurban development likelihood and existing row crop production. If bioenergy production is constrained to marginal (non-crop) lands, landscape yield decreased by 27%. The removal of lands with high development probability from crop production resulted in losses of up to 670 000 Mg/yr (40%). This study demonstrated that tradeoffs among bioenergy production, crop production, and exurban expansion in a mountainous changing rural landscape vary spatially with climate change over time. If markets develop, bioenergy crops could potentially counter losses of agricultural land to development.
DOI: 10.1890/15-0545
PubMed: 27209792
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Landscape patterns of bioenergy in a changing climate: implications for crop allocation and land-use competition.</title>
<author><name sortKey="Graves, Rose A" sort="Graves, Rose A" uniqKey="Graves R" first="Rose A" last="Graves">Rose A. Graves</name>
</author>
<author><name sortKey="Pearson, Scott M" sort="Pearson, Scott M" uniqKey="Pearson S" first="Scott M" last="Pearson">Scott M. Pearson</name>
</author>
<author><name sortKey="Turner, Monica G" sort="Turner, Monica G" uniqKey="Turner M" first="Monica G" last="Turner">Monica G. Turner</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2016">2016</date>
<idno type="RBID">pubmed:27209792</idno>
<idno type="pmid">27209792</idno>
<idno type="doi">10.1890/15-0545</idno>
<idno type="wicri:Area/Main/Corpus">001783</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001783</idno>
<idno type="wicri:Area/Main/Curation">001783</idno>
<idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001783</idno>
<idno type="wicri:Area/Main/Exploration">001783</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Landscape patterns of bioenergy in a changing climate: implications for crop allocation and land-use competition.</title>
<author><name sortKey="Graves, Rose A" sort="Graves, Rose A" uniqKey="Graves R" first="Rose A" last="Graves">Rose A. Graves</name>
</author>
<author><name sortKey="Pearson, Scott M" sort="Pearson, Scott M" uniqKey="Pearson S" first="Scott M" last="Pearson">Scott M. Pearson</name>
</author>
<author><name sortKey="Turner, Monica G" sort="Turner, Monica G" uniqKey="Turner M" first="Monica G" last="Turner">Monica G. Turner</name>
</author>
</analytic>
<series><title level="j">Ecological applications : a publication of the Ecological Society of America</title>
<idno type="ISSN">1051-0761</idno>
<imprint><date when="2016" type="published">2016</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Agriculture (MeSH)</term>
<term>Biofuels (MeSH)</term>
<term>Climate Change (MeSH)</term>
<term>Conservation of Natural Resources (MeSH)</term>
<term>Crops, Agricultural (MeSH)</term>
<term>Ecosystem (MeSH)</term>
<term>North Carolina (MeSH)</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Agriculture (MeSH)</term>
<term>Biocarburants (MeSH)</term>
<term>Caroline du Nord (MeSH)</term>
<term>Changement climatique (MeSH)</term>
<term>Conservation des ressources naturelles (MeSH)</term>
<term>Produits agricoles (MeSH)</term>
<term>Écosystème (MeSH)</term>
</keywords>
<keywords scheme="MESH" type="chemical" xml:lang="en"><term>Biofuels</term>
</keywords>
<keywords scheme="MESH" type="geographic" xml:lang="en"><term>North Carolina</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Agriculture</term>
<term>Climate Change</term>
<term>Conservation of Natural Resources</term>
<term>Crops, Agricultural</term>
<term>Ecosystem</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Agriculture</term>
<term>Biocarburants</term>
<term>Caroline du Nord</term>
<term>Changement climatique</term>
<term>Conservation des ressources naturelles</term>
<term>Produits agricoles</term>
<term>Écosystème</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Rural landscapes face changing climate, shifting development pressure, and loss of agricultural land. Perennial bioenergy crops grown on existing agricultural land may provide an opportunity to conserve rural landscapes while addressing increased demand for biofuels. However, increased bioenergy production and changing land use raise concerns for tradeoffs within the food-energy-environment trilemma. Heterogeneity of climate, soils, and land use complicate assessment of bioenergy potential in complex landscapes, creating challenges to evaluating future tradeoffs. The hypothesis addressed herein is that perennial bioenergy production can provide an opportunity to avoid agricultural land conversion to development. Using a process-based crop model, we assessed potential bioenergy crop growth through 2100 in a southern Appalachian Mountain region and asked: (1) how mean annual yield differed among three crops (switchgrass Panicum virgatum, giant miscanthus Miscanthus x giganteus, and hybrid poplar Populus x sp.) under current climate and climate change scenarios resulting from moderate and very high greenhouse gas emissions; (2) how maximum landscape yield, spatial allocation of crops, and bioenergy hotspots (areas with highest potential yield) varied among climate scenarios; and (3) how bioenergy hotspots overlapped with current crop production or lands with high development pressure. Under both climate change scenarios, mean annual yield of perennial grasses decreased (-4% to -39%), but yield of hybrid poplar increased (+8% to +20%) which suggests that a switch to woody crops would maximize bioenergy crop production. In total, maximum landscape yield increased by up to 90 000 Mg/yr (6%) in the 21st century due to increased poplar production. Bioenergy hotspots (> 18 Mg x ha(-1) x yr(-1)) consistently overlapped with high suburban/exurban development likelihood and existing row crop production. If bioenergy production is constrained to marginal (non-crop) lands, landscape yield decreased by 27%. The removal of lands with high development probability from crop production resulted in losses of up to 670 000 Mg/yr (40%). This study demonstrated that tradeoffs among bioenergy production, crop production, and exurban expansion in a mountainous changing rural landscape vary spatially with climate change over time. If markets develop, bioenergy crops could potentially counter losses of agricultural land to development.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">27209792</PMID>
<DateCompleted><Year>2016</Year>
<Month>06</Month>
<Day>14</Day>
</DateCompleted>
<DateRevised><Year>2019</Year>
<Month>09</Month>
<Day>18</Day>
</DateRevised>
<Article PubModel="Print"><Journal><ISSN IssnType="Print">1051-0761</ISSN>
<JournalIssue CitedMedium="Print"><Volume>26</Volume>
<Issue>2</Issue>
<PubDate><Year>2016</Year>
<Month>Mar</Month>
</PubDate>
</JournalIssue>
<Title>Ecological applications : a publication of the Ecological Society of America</Title>
<ISOAbbreviation>Ecol Appl</ISOAbbreviation>
</Journal>
<ArticleTitle>Landscape patterns of bioenergy in a changing climate: implications for crop allocation and land-use competition.</ArticleTitle>
<Pagination><MedlinePgn>515-29</MedlinePgn>
</Pagination>
<Abstract><AbstractText>Rural landscapes face changing climate, shifting development pressure, and loss of agricultural land. Perennial bioenergy crops grown on existing agricultural land may provide an opportunity to conserve rural landscapes while addressing increased demand for biofuels. However, increased bioenergy production and changing land use raise concerns for tradeoffs within the food-energy-environment trilemma. Heterogeneity of climate, soils, and land use complicate assessment of bioenergy potential in complex landscapes, creating challenges to evaluating future tradeoffs. The hypothesis addressed herein is that perennial bioenergy production can provide an opportunity to avoid agricultural land conversion to development. Using a process-based crop model, we assessed potential bioenergy crop growth through 2100 in a southern Appalachian Mountain region and asked: (1) how mean annual yield differed among three crops (switchgrass Panicum virgatum, giant miscanthus Miscanthus x giganteus, and hybrid poplar Populus x sp.) under current climate and climate change scenarios resulting from moderate and very high greenhouse gas emissions; (2) how maximum landscape yield, spatial allocation of crops, and bioenergy hotspots (areas with highest potential yield) varied among climate scenarios; and (3) how bioenergy hotspots overlapped with current crop production or lands with high development pressure. Under both climate change scenarios, mean annual yield of perennial grasses decreased (-4% to -39%), but yield of hybrid poplar increased (+8% to +20%) which suggests that a switch to woody crops would maximize bioenergy crop production. In total, maximum landscape yield increased by up to 90 000 Mg/yr (6%) in the 21st century due to increased poplar production. Bioenergy hotspots (> 18 Mg x ha(-1) x yr(-1)) consistently overlapped with high suburban/exurban development likelihood and existing row crop production. If bioenergy production is constrained to marginal (non-crop) lands, landscape yield decreased by 27%. The removal of lands with high development probability from crop production resulted in losses of up to 670 000 Mg/yr (40%). This study demonstrated that tradeoffs among bioenergy production, crop production, and exurban expansion in a mountainous changing rural landscape vary spatially with climate change over time. If markets develop, bioenergy crops could potentially counter losses of agricultural land to development.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Graves</LastName>
<ForeName>Rose A</ForeName>
<Initials>RA</Initials>
</Author>
<Author ValidYN="Y"><LastName>Pearson</LastName>
<ForeName>Scott M</ForeName>
<Initials>SM</Initials>
</Author>
<Author ValidYN="Y"><LastName>Turner</LastName>
<ForeName>Monica G</ForeName>
<Initials>MG</Initials>
</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>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Ecol Appl</MedlineTA>
<NlmUniqueID>9889808</NlmUniqueID>
<ISSNLinking>1051-0761</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D056804">Biofuels</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000383" MajorTopicYN="N">Agriculture</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D056804" MajorTopicYN="Y">Biofuels</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D057231" MajorTopicYN="Y">Climate Change</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003247" MajorTopicYN="Y">Conservation of Natural Resources</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018556" MajorTopicYN="Y">Crops, Agricultural</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D017753" MajorTopicYN="Y">Ecosystem</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009657" MajorTopicYN="N" Type="Geographic">North Carolina</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2016</Year>
<Month>5</Month>
<Day>24</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2016</Year>
<Month>5</Month>
<Day>24</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2016</Year>
<Month>6</Month>
<Day>15</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">27209792</ArticleId>
<ArticleId IdType="doi">10.1890/15-0545</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list></list>
<tree><noCountry><name sortKey="Graves, Rose A" sort="Graves, Rose A" uniqKey="Graves R" first="Rose A" last="Graves">Rose A. Graves</name>
<name sortKey="Pearson, Scott M" sort="Pearson, Scott M" uniqKey="Pearson S" first="Scott M" last="Pearson">Scott M. Pearson</name>
<name sortKey="Turner, Monica G" sort="Turner, Monica G" uniqKey="Turner M" first="Monica G" last="Turner">Monica G. Turner</name>
</noCountry>
</tree>
</affiliations>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Bois/explor/PoplarV1/Data/Main/Exploration
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 001797 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001797 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Bois |area= PoplarV1 |flux= Main |étape= Exploration |type= RBID |clé= pubmed:27209792 |texte= Landscape patterns of bioenergy in a changing climate: implications for crop allocation and land-use competition. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:27209792" \ | HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \ | NlmPubMed2Wicri -a PoplarV1
This area was generated with Dilib version V0.6.37. |