[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:
Links toward previous steps (curation, corpus...)
Le document en format XML
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<author><name sortKey="Yan, Hai Bing" sort="Yan, Hai Bing" uniqKey="Yan H" first="Hai-Bing" last="Yan">Hai-Bing Yan</name>
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<country xml:lang="fr">République populaire de Chine</country>
<wicri:regionArea>College of Forestry, Shanxi Agricultural University, Taigu 030801, Shanxi</wicri:regionArea>
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<author><name sortKey="Han, You Zhi" sort="Han, You Zhi" uniqKey="Han Y" first="You-Zhi" last="Han">You-Zhi Han</name>
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<author><name sortKey="Yang, Xiu Qing" sort="Yang, Xiu Qing" uniqKey="Yang X" first="Xiu-Qing" last="Yang">Xiu-Qing Yang</name>
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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>China (MeSH)</term>
<term>Ecosystem (MeSH)</term>
<term>Geographic Information Systems (MeSH)</term>
<term>Nitrogen (analysis)</term>
<term>Picea (growth & development)</term>
<term>Seedlings (growth & development)</term>
<term>Soil (analysis)</term>
<term>Tracheophyta (growth & development)</term>
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<keywords scheme="KwdFr" xml:lang="fr"><term>Azote (analyse)</term>
<term>Chine (MeSH)</term>
<term>Picea (croissance et développement)</term>
<term>Plant (croissance et développement)</term>
<term>Sol (analyse)</term>
<term>Systèmes d'information géographique (MeSH)</term>
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<keywords scheme="MESH" type="chemical" qualifier="analysis" xml:lang="en"><term>Nitrogen</term>
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<front><div type="abstract" xml:lang="en">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.</div>
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<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>
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