Relationship between surface pollen assemblages and vegetation in Luonan Basin, Eastern Qinling Mountains, Central China
The catchment of South Luohe River in Central China is an important region for investigating modern pollen-environment relationship, because it is located in the transitional zone between south and north China, an environment which is sensitive to climate changes. In this study, 40 surface samples u...
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description | The catchment of South Luohe River in Central China is an important region for investigating modern pollen-environment relationship, because it is located in the transitional zone between south and north China, an environment which is sensitive to climate changes. In this study, 40 surface samples under ten vegetation types were collected to reveal the relationship between pollen assemblages and vegetation. The results show that the surface pollen assemblages reflect the vegetation quite well. In forest topsoils, the average of arbo- real pollen content is greater than 40%, and the Selaginella sinensis spore is high. As to sparse forest grassland and shrub community, the average arboreal pollen is 13.2% and 16.6% respectively, and the shrub pollen is relatively higher than that of grassland samples. The grassland and farmland are characterized by low percentage of tree and shrub pollen (〈10% and 〈1%), and high percentage of herbs (〉80%). Pinus, Quercus and some other arboreal pollen can indicate the regional vegetation because of their dispersal ability. Quercus pollen is under-representative and so is Pinus. Artemisia pollen is significantly over-represented, has poor correlation with the plant coverage, and may reflect human dis- turbance. Gramineae can indicate plant quite well, but with low representation. High content of Chenopodiaceae probably suggests human impact. Predominant Selaginella sinensis can be used as an indicator of forest environment. Cluster analysis and principal components analysis of pollen assemblages can distinguish forest and non-forest vegetation well. The former method is better at separating pine and mixed forests, while the latter is more stable and could better differentiate farmland and other non-forest area. The first axis of PCA mainly reflects the humidity. |
doi_str_mv | 10.1007/s11442-014-1098-y |
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In this study, 40 surface samples under ten vegetation types were collected to reveal the relationship between pollen assemblages and vegetation. The results show that the surface pollen assemblages reflect the vegetation quite well. In forest topsoils, the average of arbo- real pollen content is greater than 40%, and the Selaginella sinensis spore is high. As to sparse forest grassland and shrub community, the average arboreal pollen is 13.2% and 16.6% respectively, and the shrub pollen is relatively higher than that of grassland samples. The grassland and farmland are characterized by low percentage of tree and shrub pollen (〈10% and 〈1%), and high percentage of herbs (〉80%). Pinus, Quercus and some other arboreal pollen can indicate the regional vegetation because of their dispersal ability. Quercus pollen is under-representative and so is Pinus. Artemisia pollen is significantly over-represented, has poor correlation with the plant coverage, and may reflect human dis- turbance. Gramineae can indicate plant quite well, but with low representation. High content of Chenopodiaceae probably suggests human impact. Predominant Selaginella sinensis can be used as an indicator of forest environment. Cluster analysis and principal components analysis of pollen assemblages can distinguish forest and non-forest vegetation well. The former method is better at separating pine and mixed forests, while the latter is more stable and could better differentiate farmland and other non-forest area. The first axis of PCA mainly reflects the humidity.</description><identifier>ISSN: 1009-637X</identifier><identifier>EISSN: 1861-9568</identifier><identifier>DOI: 10.1007/s11442-014-1098-y</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Agricultural land ; Artemisia ; Asia ; Bgi / Prodig ; Chenopodiaceae ; China ; Climate change ; Earth and Environmental Science ; Forests ; Geographical Information Systems/Cartography ; Geography ; Grasslands ; Mixed forests ; Mountains ; Nature Conservation ; Physical Geography ; Pinus ; Pollen ; Principal components analysis ; Quercus ; Remote Sensing/Photogrammetry ; Selaginella ; Topsoil ; Vegetation ; 东秦岭 ; 中国 ; 森林环境 ; 植被类型 ; 洛南 ; 盆地 ; 花粉组合 ; 表土</subject><ispartof>Journal of geographical sciences, 2014-06, Vol.24 (3), p.427-445</ispartof><rights>Science Press and Springer-Verlag Berlin Heidelberg 2014</rights><rights>Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014</rights><rights>Science Press and Springer-Verlag Berlin Heidelberg 2014.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c448t-24a96dd27139e260c945447bf8a295b8024bb3442e7cd5db6a09a5a491068c63</citedby><cites>FETCH-LOGICAL-c448t-24a96dd27139e260c945447bf8a295b8024bb3442e7cd5db6a09a5a491068c63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85906X/85906X.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s11442-014-1098-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2918644112?pq-origsite=primo$$EHTML$$P50$$Gproquest$$H</linktohtml><link.rule.ids>314,776,780,21367,27901,27902,33721,33722,41464,42533,43781,51294</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28944127$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Zhang, Wenchao</creatorcontrib><creatorcontrib>Li, Chunhai</creatorcontrib><creatorcontrib>Lu, Huayu</creatorcontrib><creatorcontrib>Tian, Xianhua</creatorcontrib><creatorcontrib>Zhang, Hongyan</creatorcontrib><creatorcontrib>Lei, Fang</creatorcontrib><creatorcontrib>Tang, Lingyu</creatorcontrib><title>Relationship between surface pollen assemblages and vegetation in Luonan Basin, Eastern Qinling Mountains, Central China</title><title>Journal of geographical sciences</title><addtitle>J. Geogr. Sci</addtitle><addtitle>Journal of Geographical Sciences</addtitle><description>The catchment of South Luohe River in Central China is an important region for investigating modern pollen-environment relationship, because it is located in the transitional zone between south and north China, an environment which is sensitive to climate changes. In this study, 40 surface samples under ten vegetation types were collected to reveal the relationship between pollen assemblages and vegetation. The results show that the surface pollen assemblages reflect the vegetation quite well. In forest topsoils, the average of arbo- real pollen content is greater than 40%, and the Selaginella sinensis spore is high. As to sparse forest grassland and shrub community, the average arboreal pollen is 13.2% and 16.6% respectively, and the shrub pollen is relatively higher than that of grassland samples. The grassland and farmland are characterized by low percentage of tree and shrub pollen (〈10% and 〈1%), and high percentage of herbs (〉80%). Pinus, Quercus and some other arboreal pollen can indicate the regional vegetation because of their dispersal ability. Quercus pollen is under-representative and so is Pinus. Artemisia pollen is significantly over-represented, has poor correlation with the plant coverage, and may reflect human dis- turbance. Gramineae can indicate plant quite well, but with low representation. High content of Chenopodiaceae probably suggests human impact. Predominant Selaginella sinensis can be used as an indicator of forest environment. Cluster analysis and principal components analysis of pollen assemblages can distinguish forest and non-forest vegetation well. The former method is better at separating pine and mixed forests, while the latter is more stable and could better differentiate farmland and other non-forest area. 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Geogr. Sci</stitle><addtitle>Journal of Geographical Sciences</addtitle><date>2014-06-01</date><risdate>2014</risdate><volume>24</volume><issue>3</issue><spage>427</spage><epage>445</epage><pages>427-445</pages><issn>1009-637X</issn><eissn>1861-9568</eissn><abstract>The catchment of South Luohe River in Central China is an important region for investigating modern pollen-environment relationship, because it is located in the transitional zone between south and north China, an environment which is sensitive to climate changes. In this study, 40 surface samples under ten vegetation types were collected to reveal the relationship between pollen assemblages and vegetation. The results show that the surface pollen assemblages reflect the vegetation quite well. In forest topsoils, the average of arbo- real pollen content is greater than 40%, and the Selaginella sinensis spore is high. As to sparse forest grassland and shrub community, the average arboreal pollen is 13.2% and 16.6% respectively, and the shrub pollen is relatively higher than that of grassland samples. The grassland and farmland are characterized by low percentage of tree and shrub pollen (〈10% and 〈1%), and high percentage of herbs (〉80%). Pinus, Quercus and some other arboreal pollen can indicate the regional vegetation because of their dispersal ability. Quercus pollen is under-representative and so is Pinus. Artemisia pollen is significantly over-represented, has poor correlation with the plant coverage, and may reflect human dis- turbance. Gramineae can indicate plant quite well, but with low representation. High content of Chenopodiaceae probably suggests human impact. Predominant Selaginella sinensis can be used as an indicator of forest environment. Cluster analysis and principal components analysis of pollen assemblages can distinguish forest and non-forest vegetation well. The former method is better at separating pine and mixed forests, while the latter is more stable and could better differentiate farmland and other non-forest area. The first axis of PCA mainly reflects the humidity.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s11442-014-1098-y</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Agricultural land Artemisia Asia Bgi / Prodig Chenopodiaceae China Climate change Earth and Environmental Science Forests Geographical Information Systems/Cartography Geography Grasslands Mixed forests Mountains Nature Conservation Physical Geography Pinus Pollen Principal components analysis Quercus Remote Sensing/Photogrammetry Selaginella Topsoil Vegetation 东秦岭 中国 森林环境 植被类型 洛南 盆地 花粉组合 表土 |
title | Relationship between surface pollen assemblages and vegetation in Luonan Basin, Eastern Qinling Mountains, Central China |
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