Challenges and opportunities in Quaternary palynology
Quaternary palynology plays a pivotal role in investigating global climate change and various other research fields, serving as an essential tool for the quantitative analysis of paleoenvironment changes. However, due to the vast diversity of terrestrial ecosystems and intricate interactions between...
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Veröffentlicht in: | Science China. Earth sciences 2024-07, Vol.67 (7), p.2148-2161 |
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description | Quaternary palynology plays a pivotal role in investigating global climate change and various other research fields, serving as an essential tool for the quantitative analysis of paleoenvironment changes. However, due to the vast diversity of terrestrial ecosystems and intricate interactions between vegetation, climate, and human activities, further advancements are required in the following aspects within this discipline. (1) The accuracy of classification in pollen morphology and fossil pollen identification needs improvement, particularly at the species level. This represents a significant challenge in present Quaternary palynology. Computer-aided intelligent recognition holds promise as a solution for species identification based on more detail pollen morphology. (2) Most pollen-based vegetation and climate reconstructions overlook the significance of bare ground. Neglecting bare ground can lead to substantial inaccuracies when quantitatively reconstructing past vegetation and climate. (3) While pollen records provide reliable information on paleoclimate changes, current quantitative climate reconstruction models heavily rely on modern pollen datasets derived from present-day vegetation disturbed more or less by human activities. This introduces bias and uncertainties into paleoclimate reconstruction. (4) Although pollen can serve as an indicator of human activities, accurately quantifying the intensity of human influence remains challenging. Improving accurate identification of crop pollen, reconstructing reliable land cover/use data, and integrating multidisciplinary data may enhance the identification and quantification of signals related to human activity in pollen records. |
doi_str_mv | 10.1007/s11430-023-1310-4 |
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However, due to the vast diversity of terrestrial ecosystems and intricate interactions between vegetation, climate, and human activities, further advancements are required in the following aspects within this discipline. (1) The accuracy of classification in pollen morphology and fossil pollen identification needs improvement, particularly at the species level. This represents a significant challenge in present Quaternary palynology. Computer-aided intelligent recognition holds promise as a solution for species identification based on more detail pollen morphology. (2) Most pollen-based vegetation and climate reconstructions overlook the significance of bare ground. Neglecting bare ground can lead to substantial inaccuracies when quantitatively reconstructing past vegetation and climate. (3) While pollen records provide reliable information on paleoclimate changes, current quantitative climate reconstruction models heavily rely on modern pollen datasets derived from present-day vegetation disturbed more or less by human activities. This introduces bias and uncertainties into paleoclimate reconstruction. (4) Although pollen can serve as an indicator of human activities, accurately quantifying the intensity of human influence remains challenging. 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Neglecting bare ground can lead to substantial inaccuracies when quantitatively reconstructing past vegetation and climate. (3) While pollen records provide reliable information on paleoclimate changes, current quantitative climate reconstruction models heavily rely on modern pollen datasets derived from present-day vegetation disturbed more or less by human activities. This introduces bias and uncertainties into paleoclimate reconstruction. (4) Although pollen can serve as an indicator of human activities, accurately quantifying the intensity of human influence remains challenging. Improving accurate identification of crop pollen, reconstructing reliable land cover/use data, and integrating multidisciplinary data may enhance the identification and quantification of signals related to human activity in pollen records.</description><subject>Climate and human activity</subject><subject>Climate and vegetation</subject><subject>Climate change</subject><subject>Climate models</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Fossil pollen</subject><subject>Fossils</subject><subject>Global climate</subject><subject>Human influences</subject><subject>Land cover</subject><subject>Morphology</subject><subject>Paleoclimate</subject><subject>Paleoclimatology</subject><subject>Palynology</subject><subject>Pollen</subject><subject>Quantitative analysis</subject><subject>Quaternary</subject><subject>Reconstruction</subject><subject>Review</subject><subject>Species identification</subject><subject>Terrestrial ecosystems</subject><subject>Vegetation</subject><issn>1674-7313</issn><issn>1869-1897</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNp1UE1LxDAQDaLgsu4P8FbwHM0kaSY5SvELFkTQcwhtunapTU3aQ_-9WSp4ci4zzLz3ePMIuQZ2C4zhXQKQglHGBQUBjMozsgGtDAVt8DzPCiVFAeKS7FI6slwiXzhuSFl9ur73w8Gnwg1NEcYxxGkeuqnLm24o3mY3-Ti4uBSj65ch9OGwXJGL1vXJ7377lnw8PrxXz3T_-vRS3e9pDUZPFFGiZ9x7g21de8VdrTRKXprSNLxFJVujtWdlowCc9MKJ0hlhUMjGSCzFltysumMM37NPkz2GOZvpkxUMpVbaGJ1RsKLqGFKKvrVj7L6yYwvMngKya0A2B2RPAVmZOXzlpIzN38c_5f9JP3N_Zs8</recordid><startdate>20240701</startdate><enddate>20240701</enddate><creator>Xu, Qinghai</creator><creator>Lu, Houyuan</creator><creator>Zheng, Zhuo</creator><general>Science China Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7TG</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H96</scope><scope>KL.</scope><scope>L.G</scope></search><sort><creationdate>20240701</creationdate><title>Challenges and opportunities in Quaternary palynology</title><author>Xu, Qinghai ; Lu, Houyuan ; Zheng, Zhuo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c198t-7747e02ee97fcce62ac687425959d2f764f988e05d611a4e3a35a939734d94753</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Climate and human activity</topic><topic>Climate and vegetation</topic><topic>Climate change</topic><topic>Climate models</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Fossil pollen</topic><topic>Fossils</topic><topic>Global climate</topic><topic>Human influences</topic><topic>Land cover</topic><topic>Morphology</topic><topic>Paleoclimate</topic><topic>Paleoclimatology</topic><topic>Palynology</topic><topic>Pollen</topic><topic>Quantitative analysis</topic><topic>Quaternary</topic><topic>Reconstruction</topic><topic>Review</topic><topic>Species identification</topic><topic>Terrestrial ecosystems</topic><topic>Vegetation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Xu, Qinghai</creatorcontrib><creatorcontrib>Lu, Houyuan</creatorcontrib><creatorcontrib>Zheng, Zhuo</creatorcontrib><collection>CrossRef</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><jtitle>Science China. Earth sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Xu, Qinghai</au><au>Lu, Houyuan</au><au>Zheng, Zhuo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Challenges and opportunities in Quaternary palynology</atitle><jtitle>Science China. Earth sciences</jtitle><stitle>Sci. China Earth Sci</stitle><date>2024-07-01</date><risdate>2024</risdate><volume>67</volume><issue>7</issue><spage>2148</spage><epage>2161</epage><pages>2148-2161</pages><issn>1674-7313</issn><eissn>1869-1897</eissn><abstract>Quaternary palynology plays a pivotal role in investigating global climate change and various other research fields, serving as an essential tool for the quantitative analysis of paleoenvironment changes. However, due to the vast diversity of terrestrial ecosystems and intricate interactions between vegetation, climate, and human activities, further advancements are required in the following aspects within this discipline. (1) The accuracy of classification in pollen morphology and fossil pollen identification needs improvement, particularly at the species level. This represents a significant challenge in present Quaternary palynology. Computer-aided intelligent recognition holds promise as a solution for species identification based on more detail pollen morphology. (2) Most pollen-based vegetation and climate reconstructions overlook the significance of bare ground. Neglecting bare ground can lead to substantial inaccuracies when quantitatively reconstructing past vegetation and climate. (3) While pollen records provide reliable information on paleoclimate changes, current quantitative climate reconstruction models heavily rely on modern pollen datasets derived from present-day vegetation disturbed more or less by human activities. This introduces bias and uncertainties into paleoclimate reconstruction. (4) Although pollen can serve as an indicator of human activities, accurately quantifying the intensity of human influence remains challenging. Improving accurate identification of crop pollen, reconstructing reliable land cover/use data, and integrating multidisciplinary data may enhance the identification and quantification of signals related to human activity in pollen records.</abstract><cop>Beijing</cop><pub>Science China Press</pub><doi>10.1007/s11430-023-1310-4</doi><tpages>14</tpages></addata></record> |
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subjects | Climate and human activity Climate and vegetation Climate change Climate models Earth and Environmental Science Earth Sciences Fossil pollen Fossils Global climate Human influences Land cover Morphology Paleoclimate Paleoclimatology Palynology Pollen Quantitative analysis Quaternary Reconstruction Review Species identification Terrestrial ecosystems Vegetation |
title | Challenges and opportunities in Quaternary palynology |
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