[Spatial relevance between natural regeneration of Picea and heterogeneity of soil available nitrogen in Guandi Mountain].
Identifieur interne : 003038 ( Main/Exploration ); précédent : 003037; suivant : 003039[Spatial relevance between natural regeneration of Picea and heterogeneity of soil available nitrogen in Guandi Mountain].
Auteurs : Hai-Bing Yan [République populaire de Chine] ; You-Zhi Han ; Xiu-Qing Yang ; Li LeSource :
- Ying yong sheng tai xue bao = The journal of applied ecology [ 1001-9332 ] ; 2010.
Descripteurs français
- KwdFr :
- MESH :
- analyse : Azote, Sol.
- croissance et développement : Picea, Plant, Tracheobionta.
- Chine, Systèmes d'information géographique, Écosystème.
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- chemical , analysis : Nitrogen, Soil.
- geographic : China.
- growth & development : Picea, Seedlings, Tracheophyta.
- Ecosystem, Geographic Information Systems.
Abstract
By using geostatistic and pattern analysis methods, this paper studied the spatial pattern of Picea seedlings in naturally regenerated conifer (Picea) and mixed (Picea-Populus-Betula) forests in Guandi Mountain of Shanxi Province, China. The spatial distribution of soil nitrogen was also quantified by semivariogram analysis. To understand the effects of spatial heterogeneity of soil nitrogen on the regeneration of Picea seedlings, the relationships between the regeneration pattern of the seedlings and the spatial distribution of soil nitrogen were investigated by using GIS superposition and statistical analysis. In conifer stands, the distribution of Picea seedlings appeared as a patch pattern and was auto-correlated; while in mixed stands, the distribution was of gathering distribution pattern controlled by random factors. In the Picea stands with relatively low soil nitrogen content, the spatial distribution of soil available nitrogen was significantly heterogeneous and auto-correlated; whereas in the mixed stands with high nitrogen content, the distribution of soil available nitrogen showed random heterogeneity. In the conifer stands, the spatial correlation between Picea seedlings regeneration pattern and soil available nitrogen distribution was significant, regenerating more seedlings in the patches with higher NH4(+) -N concentration; while in the mixed stands, the correlation was not significant.
PubMed: 20560304
Affiliations:
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Le document en format XML
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The spatial distribution of soil nitrogen was also quantified by semivariogram analysis. To understand the effects of spatial heterogeneity of soil nitrogen on the regeneration of Picea seedlings, the relationships between the regeneration pattern of the seedlings and the spatial distribution of soil nitrogen were investigated by using GIS superposition and statistical analysis. In conifer stands, the distribution of Picea seedlings appeared as a patch pattern and was auto-correlated; while in mixed stands, the distribution was of gathering distribution pattern controlled by random factors. In the Picea stands with relatively low soil nitrogen content, the spatial distribution of soil available nitrogen was significantly heterogeneous and auto-correlated; whereas in the mixed stands with high nitrogen content, the distribution of soil available nitrogen showed random heterogeneity. In the conifer stands, the spatial correlation between Picea seedlings regeneration pattern and soil available nitrogen distribution was significant, regenerating more seedlings in the patches with higher NH4(+) -N concentration; while in the mixed stands, the correlation was not significant.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">20560304</PMID><DateCompleted><Year>2011</Year><Month>02</Month><Day>03</Day></DateCompleted><DateRevised><Year>2019</Year><Month>12</Month><Day>10</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">1001-9332</ISSN><JournalIssue CitedMedium="Print"><Volume>21</Volume><Issue>3</Issue><PubDate><Year>2010</Year><Month>Mar</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>[Spatial relevance between natural regeneration of Picea and heterogeneity of soil available nitrogen in Guandi Mountain].</ArticleTitle><Pagination><MedlinePgn>533-40</MedlinePgn></Pagination><Abstract><AbstractText>By using geostatistic and pattern analysis methods, this paper studied the spatial pattern of Picea seedlings in naturally regenerated conifer (Picea) and mixed (Picea-Populus-Betula) forests in Guandi Mountain of Shanxi Province, China. The spatial distribution of soil nitrogen was also quantified by semivariogram analysis. To understand the effects of spatial heterogeneity of soil nitrogen on the regeneration of Picea seedlings, the relationships between the regeneration pattern of the seedlings and the spatial distribution of soil nitrogen were investigated by using GIS superposition and statistical analysis. In conifer stands, the distribution of Picea seedlings appeared as a patch pattern and was auto-correlated; while in mixed stands, the distribution was of gathering distribution pattern controlled by random factors. In the Picea stands with relatively low soil nitrogen content, the spatial distribution of soil available nitrogen was significantly heterogeneous and auto-correlated; whereas in the mixed stands with high nitrogen content, the distribution of soil available nitrogen showed random heterogeneity. In the conifer stands, the spatial correlation between Picea seedlings regeneration pattern and soil available nitrogen distribution was significant, regenerating more seedlings in the patches with higher NH4(+) -N concentration; while in the mixed stands, the correlation was not significant.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Yan</LastName><ForeName>Hai-Bing</ForeName><Initials>HB</Initials><AffiliationInfo><Affiliation>College of Forestry, Shanxi Agricultural University, Taigu 030801, Shanxi, China. yhb5188@126.com</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Han</LastName><ForeName>You-Zhi</ForeName><Initials>YZ</Initials></Author><Author ValidYN="Y"><LastName>Yang</LastName><ForeName>Xiu-Qing</ForeName><Initials>XQ</Initials></Author><Author ValidYN="Y"><LastName>Le</LastName><ForeName>Li</ForeName><Initials>L</Initials></Author></AuthorList><Language>chi</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>China</Country><MedlineTA>Ying Yong Sheng Tai Xue Bao</MedlineTA><NlmUniqueID>9425159</NlmUniqueID><ISSNLinking>1001-9332</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance UI="D012987">Soil</NameOfSubstance></Chemical><Chemical><RegistryNumber>N762921K75</RegistryNumber><NameOfSubstance UI="D009584">Nitrogen</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D002681" MajorTopicYN="N" Type="Geographic">China</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017753" MajorTopicYN="Y">Ecosystem</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D040362" MajorTopicYN="N">Geographic Information Systems</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D009584" MajorTopicYN="N">Nitrogen</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D028222" MajorTopicYN="N">Picea</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D036226" MajorTopicYN="N">Seedlings</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="Y">growth & development</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D012987" MajorTopicYN="N">Soil</DescriptorName><QualifierName UI="Q000032" MajorTopicYN="Y">analysis</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D064028" MajorTopicYN="N">Tracheophyta</DescriptorName><QualifierName UI="Q000254" MajorTopicYN="N">growth & development</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2010</Year><Month>6</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2010</Year><Month>6</Month><Day>22</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2011</Year><Month>2</Month><Day>4</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">20560304</ArticleId></ArticleIdList></PubmedData></pubmed><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><noCountry><name sortKey="Han, You Zhi" sort="Han, You Zhi" uniqKey="Han Y" first="You-Zhi" last="Han">You-Zhi Han</name><name sortKey="Le, Li" sort="Le, Li" uniqKey="Le L" first="Li" last="Le">Li Le</name><name sortKey="Yang, Xiu Qing" sort="Yang, Xiu Qing" uniqKey="Yang X" first="Xiu-Qing" last="Yang">Xiu-Qing Yang</name></noCountry><country name="République populaire de Chine"><noRegion><name sortKey="Yan, Hai Bing" sort="Yan, Hai Bing" uniqKey="Yan H" first="Hai-Bing" last="Yan">Hai-Bing Yan</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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