[Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.]
Identifieur interne : 001592 ( Main/Exploration ); précédent : 001591; suivant : 001593[Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.]
Auteurs : Hai Qing Hu [République populaire de Chine] ; Xin Lu [République populaire de Chine] ; Long Sun [République populaire de Chine] ; Dao Guan [République populaire de Chine]Source :
- Ying yong sheng tai xue bao = The journal of applied ecology [ 1001-9332 ] ; 2016.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Eau.
- Arbres, Betula, Chine, Forêts, Larix, Modèles théoriques, Pinus, Saisons, Science forêt.
English descriptors
- KwdEn :
- MESH :
Abstract
The fuel moisture content dynamics of mixed forest of Populus davidiana-Betula platyphylla, Larix gmelinii, Pinus sylvestris var. mongolica, mixed forest of L. gmelinii-B. platyphylla, B. platyphylla at different slope positions in spring and autumn were investigated in Xilinji Forestry Bureau ofthe Great Xing'an Mountains region. The moisture content prediction models of different stands in different seasons were established and the predicted errors were analyzed.The results showed that the fuel moisture content in the same stand varied with slope position. The mean absolute error of Nelson model (0.13) was lower than that of Simard model (0.14), and was significantly lower than that of meteorological element regression model (0.25). The prediction accuracy of the autumn model was higher than the spring model and spring-autumn mixed model.
DOI: 10.13287/j.1001-9332.201607.007
PubMed: 29737129
Affiliations:
Links toward previous steps (curation, corpus...)
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">[Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.]</title><author><name sortKey="Hu, Hai Qing" sort="Hu, Hai Qing" uniqKey="Hu H" first="Hai Qing" last="Hu">Hai Qing Hu</name><affiliation wicri:level="1"><nlm:affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Lu, Xin" sort="Lu, Xin" uniqKey="Lu X" first="Xin" last="Lu">Xin Lu</name><affiliation wicri:level="1"><nlm:affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Sun, Long" sort="Sun, Long" uniqKey="Sun L" first="Long" last="Sun">Long Sun</name><affiliation wicri:level="1"><nlm:affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Guan, Dao" sort="Guan, Dao" uniqKey="Guan D" first="Dao" last="Guan">Dao Guan</name><affiliation wicri:level="1"><nlm:affiliation>Chifeng City Forestry Bureau, Chifeng 024000, Inner Mongolia, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Chifeng City Forestry Bureau, Chifeng 024000, Inner Mongolia</wicri:regionArea><wicri:noRegion>Inner Mongolia</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2016">2016</date><idno type="RBID">pubmed:29737129</idno><idno type="pmid">29737129</idno><idno type="doi">10.13287/j.1001-9332.201607.007</idno><idno type="wicri:Area/Main/Corpus">001731</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">001731</idno><idno type="wicri:Area/Main/Curation">001731</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Curation">001731</idno><idno type="wicri:Area/Main/Exploration">001731</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">[Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.]</title><author><name sortKey="Hu, Hai Qing" sort="Hu, Hai Qing" uniqKey="Hu H" first="Hai Qing" last="Hu">Hai Qing Hu</name><affiliation wicri:level="1"><nlm:affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Lu, Xin" sort="Lu, Xin" uniqKey="Lu X" first="Xin" last="Lu">Xin Lu</name><affiliation wicri:level="1"><nlm:affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Sun, Long" sort="Sun, Long" uniqKey="Sun L" first="Long" last="Sun">Long Sun</name><affiliation wicri:level="1"><nlm:affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>College of Forestry, Northeast Forestry University, Harbin 150040</wicri:regionArea><wicri:noRegion>Harbin 150040</wicri:noRegion></affiliation></author><author><name sortKey="Guan, Dao" sort="Guan, Dao" uniqKey="Guan D" first="Dao" last="Guan">Dao Guan</name><affiliation wicri:level="1"><nlm:affiliation>Chifeng City Forestry Bureau, Chifeng 024000, Inner Mongolia, China.</nlm:affiliation><country xml:lang="fr">République populaire de Chine</country><wicri:regionArea>Chifeng City Forestry Bureau, Chifeng 024000, Inner Mongolia</wicri:regionArea><wicri:noRegion>Inner Mongolia</wicri:noRegion></affiliation></author></analytic><series><title level="j">Ying yong sheng tai xue bao = The journal of applied ecology</title><idno type="ISSN">1001-9332</idno><imprint><date when="2016" type="published">2016</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Betula (MeSH)</term><term>China (MeSH)</term><term>Forestry (MeSH)</term><term>Forests (MeSH)</term><term>Larix (MeSH)</term><term>Models, Theoretical (MeSH)</term><term>Pinus (MeSH)</term><term>Seasons (MeSH)</term><term>Trees (MeSH)</term><term>Water (analysis)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Arbres (MeSH)</term><term>Betula (MeSH)</term><term>Chine (MeSH)</term><term>Eau (analyse)</term><term>Forêts (MeSH)</term><term>Larix (MeSH)</term><term>Modèles théoriques (MeSH)</term><term>Pinus (MeSH)</term><term>Saisons (MeSH)</term><term>Science forêt (MeSH)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Water</term></keywords><keywords scheme="MESH" qualifier="analyse" xml:lang="fr"><term>Eau</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Betula</term><term>China</term><term>Forestry</term><term>Forests</term><term>Larix</term><term>Models, Theoretical</term><term>Pinus</term><term>Seasons</term><term>Trees</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Arbres</term><term>Betula</term><term>Chine</term><term>Forêts</term><term>Larix</term><term>Modèles théoriques</term><term>Pinus</term><term>Saisons</term><term>Science forêt</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The fuel moisture content dynamics of mixed forest of Populus davidiana-Betula platyphylla, Larix gmelinii, Pinus sylvestris var. mongolica, mixed forest of L. gmelinii-B. platyphylla, B. platyphylla at different slope positions in spring and autumn were investigated in Xilinji Forestry Bureau ofthe Great Xing'an Mountains region. The moisture content prediction models of different stands in different seasons were established and the predicted errors were analyzed.The results showed that the fuel moisture content in the same stand varied with slope position. The mean absolute error of Nelson model (0.13) was lower than that of Simard model (0.14), and was significantly lower than that of meteorological element regression model (0.25). The prediction accuracy of the autumn model was higher than the spring model and spring-autumn mixed model.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">29737129</PMID><DateCompleted><Year>2018</Year><Month>07</Month><Day>23</Day></DateCompleted><DateRevised><Year>2018</Year><Month>12</Month><Day>02</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1001-9332</ISSN><JournalIssue CitedMedium="Print"><Volume>27</Volume><Issue>7</Issue><PubDate><Year>2016</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Ying yong sheng tai xue bao = The journal of applied ecology</Title><ISOAbbreviation>Ying Yong Sheng Tai Xue Bao</ISOAbbreviation></Journal><ArticleTitle>[Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.]</ArticleTitle><Pagination><MedlinePgn>2212-2224</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.13287/j.1001-9332.201607.007</ELocationID><Abstract><AbstractText>The fuel moisture content dynamics of mixed forest of Populus davidiana-Betula platyphylla, Larix gmelinii, Pinus sylvestris var. mongolica, mixed forest of L. gmelinii-B. platyphylla, B. platyphylla at different slope positions in spring and autumn were investigated in Xilinji Forestry Bureau ofthe Great Xing'an Mountains region. The moisture content prediction models of different stands in different seasons were established and the predicted errors were analyzed.The results showed that the fuel moisture content in the same stand varied with slope position. The mean absolute error of Nelson model (0.13) was lower than that of Simard model (0.14), and was significantly lower than that of meteorological element regression model (0.25). The prediction accuracy of the autumn model was higher than the spring model and spring-autumn mixed model.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Hu</LastName><ForeName>Hai Qing</ForeName><Initials>HQ</Initials><AffiliationInfo><Affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Lu</LastName><ForeName>Xin</ForeName><Initials>X</Initials><AffiliationInfo><Affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Sun</LastName><ForeName>Long</ForeName><Initials>L</Initials><AffiliationInfo><Affiliation>College of Forestry, Northeast Forestry University, Harbin 150040, China.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Guan</LastName><ForeName>Dao</ForeName><Initials>D</Initials><AffiliationInfo><Affiliation>Chifeng City Forestry Bureau, Chifeng 024000, Inner Mongolia, China.</Affiliation></AffiliationInfo></Author></AuthorList><Language>chi</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><VernacularTitle>大兴安岭典型林分地表死可燃物含水率动态变化及预测模型.</VernacularTitle></Article><MedlineJournalInfo><Country>China</Country><MedlineTA>Ying Yong Sheng Tai Xue Bao</MedlineTA><NlmUniqueID>9425159</NlmUniqueID><ISSNLinking>1001-9332</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>059QF0KO0R</RegistryNumber><NameOfSubstance UI="D014867">Water</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D029662" MajorTopicYN="N">Betula</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016468" MajorTopicYN="N">Forestry</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D065928" MajorTopicYN="Y">Forests</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D028221" MajorTopicYN="N">Larix</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D008962" MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D028223" MajorTopicYN="N">Pinus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D012621" MajorTopicYN="Y">Seasons</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014197" MajorTopicYN="N">Trees</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014867" MajorTopicYN="N">Water</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading></MeshHeadingList><OtherAbstract Type="Publisher" Language="chi"><AbstractText>对春季和秋季大兴安岭地区西林吉林业局山杨-白桦混交林、落叶松林、樟子松林、落叶松-白桦混交林、白桦林5种典型林分不同坡位地表细小死可燃物含水率动态进行研究,构建了不同季节防火期、不同林分地表死可燃物含水率的预测模型,并分析了其预测误差.结果表明: 相同林分地表可燃物含水率在春季和秋季差异显著;在相同季节相同林分下不同坡位可燃物含水率存在差异.采用Nelson模型对地表死可燃物含水率预测的平均绝对误差(MAE)的平均值为0.13,略低于Simard模型(0.14),明显低于气象要素回归模型(0.25).Nelson和Simard模型的预测效果好于气象要素回归模型.秋季模型对地表死可燃物含水率的预测精度好于春季模型和春季秋季混合模型.</AbstractText></OtherAbstract><KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Great Xing'an Mountains</Keyword><Keyword MajorTopicYN="N">meteorological element regression</Keyword><Keyword MajorTopicYN="N">moisture content</Keyword><Keyword MajorTopicYN="N">surface dead fuel</Keyword></KeywordList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2018</Year><Month>5</Month><Day>9</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2016</Year><Month>7</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2016</Year><Month>7</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">29737129</ArticleId><ArticleId IdType="doi">10.13287/j.1001-9332.201607.007</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><country name="République populaire de Chine"><noRegion><name sortKey="Hu, Hai Qing" sort="Hu, Hai Qing" uniqKey="Hu H" first="Hai Qing" last="Hu">Hai Qing Hu</name></noRegion><name sortKey="Guan, Dao" sort="Guan, Dao" uniqKey="Guan D" first="Dao" last="Guan">Dao Guan</name><name sortKey="Lu, Xin" sort="Lu, Xin" uniqKey="Lu X" first="Xin" last="Lu">Xin Lu</name><name sortKey="Sun, Long" sort="Sun, Long" uniqKey="Sun L" first="Long" last="Sun">Long Sun</name></country></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 001592 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 001592 | 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:29737129
|texte= [Dynamics and prediction models of ground surface dead fuel moisture content for typical stands in Great Xing'an Mountains, Northeast China.]
}}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/Main/Exploration/RBID.i -Sk "pubmed:29737129" \
| HfdSelect -Kh $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd \
| NlmPubMed2Wicri -a PoplarV1
| This area was generated with Dilib version V0.6.37. |  |