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Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation
Land, Volume: 12, Issue: 5, Start page: 986
Swansea University Author: Cynthia Froyd
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DOI (Published version): 10.3390/land12050986
Abstract
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects...
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<?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>63538</id><entry>2023-05-26</entry><title>Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation</title><swanseaauthors><author><sid>788282697fc0b9ce69b76add9267d7b1</sid><ORCID>0000-0001-5291-9156</ORCID><firstname>Cynthia</firstname><surname>Froyd</surname><name>Cynthia Froyd</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2023-05-26</date><deptcode>SBI</deptcode><abstract>Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ‘Regional Estimates of VEgetation Abundance from Large Sites’ (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity.</abstract><type>Journal Article</type><journal>Land</journal><volume>12</volume><journalNumber>5</journalNumber><paginationStart>986</paginationStart><paginationEnd/><publisher>MDPI AG</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint/><issnElectronic>2073-445X</issnElectronic><keywords>Europe; quantitative past land cover; Holocene; pollen data; REVEALS model; relative pollen productivity; validation</keywords><publishedDay>0</publishedDay><publishedMonth>0</publishedMonth><publishedYear>0</publishedYear><publishedDate>0001-01-01</publishedDate><doi>10.3390/land12050986</doi><url>http://dx.doi.org/10.3390/land12050986</url><notes/><college>COLLEGE NANME</college><department>Biosciences</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>SBI</DepartmentCode><institution>Swansea University</institution><apcterm>Another institution paid the OA fee</apcterm><funders>This research was funded by the TERRANOVA Project, H2020 Marie Sklodowska-Curie grant agreement no. 813904.</funders><projectreference/><lastEdited>2023-07-10T15:03:20.7479776</lastEdited><Created>2023-05-26T16:29:47.3694057</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Biosciences</level></path><authors><author><firstname>M.</firstname><surname>Serge</surname><orcid>0000-0001-5506-9732</orcid><order>1</order></author><author><firstname>F.</firstname><surname>Mazier</surname><orcid>0000-0003-2643-0925</orcid><order>2</order></author><author><firstname>R.</firstname><surname>Fyfe</surname><orcid>0000-0002-5676-008x</orcid><order>3</order></author><author><firstname>M.-J.</firstname><surname>Gaillard</surname><orcid>0000-0002-2025-410x</orcid><order>4</order></author><author><firstname>T.</firstname><surname>Klein</surname><orcid>0000-0002-1276-3078</orcid><order>5</order></author><author><firstname>A.</firstname><surname>Lagnoux</surname><orcid>0000-0002-6841-5814</orcid><order>6</order></author><author><firstname>D.</firstname><surname>Galop</surname><orcid>0000-0003-1746-4760</orcid><order>7</order></author><author><firstname>E.</firstname><surname>Githumbi</surname><orcid>0000-0002-6470-8986</orcid><order>8</order></author><author><firstname>M.</firstname><surname>Mindrescu</surname><orcid>0000-0003-2291-4877</orcid><order>9</order></author><author><firstname>A.</firstname><surname>Nielsen</surname><orcid>0000-0001-7854-353x</orcid><order>10</order></author><author><firstname>A.-K.</firstname><surname>Trondman</surname><orcid>0000-0003-3865-8548</orcid><order>11</order></author><author><firstname>A.</firstname><surname>Poska</surname><orcid>0000-0002-8778-1430</orcid><order>12</order></author><author><firstname>S.</firstname><surname>Sugita</surname><orcid>0000-0002-3634-7095</orcid><order>13</order></author><author><firstname>J.</firstname><surname>Woodbridge</surname><orcid>0000-0003-0756-3538</orcid><order>14</order></author><author><firstname>D.</firstname><surname>Abel-Schaad</surname><orcid>0000-0003-3915-8342</orcid><order>15</order></author><author><firstname>C.</firstname><surname>Åkesson</surname><order>16</order></author><author><firstname>T.</firstname><surname>Alenius</surname><orcid>0000-0003-2965-5177</orcid><order>17</order></author><author><firstname>B.</firstname><surname>Ammann</surname><orcid>0000-0001-6123-6357</orcid><order>18</order></author><author><firstname>S.</firstname><surname>Andersen</surname><order>19</order></author><author><firstname>R.</firstname><surname>Anderson</surname><order>20</order></author><author><firstname>M.</firstname><surname>Andrič</surname><orcid>0000-0003-1211-7081</orcid><order>21</order></author><author><firstname>L.</firstname><surname>Balakauskas</surname><orcid>0000-0002-8941-989x</orcid><order>22</order></author><author><firstname>L.</firstname><surname>Barnekow</surname><order>23</order></author><author><firstname>V.</firstname><surname>Batalova</surname><orcid>0000-0002-8375-2835</orcid><order>24</order></author><author><firstname>J.</firstname><surname>Bergman</surname><orcid>0000-0002-6753-917x</orcid><order>25</order></author><author><firstname>H.</firstname><surname>Birks</surname><orcid>0000-0002-5891-9859</orcid><order>26</order></author><author><firstname>L.</firstname><surname>Björkman</surname><order>27</order></author><author><firstname>A.</firstname><surname>Bjune</surname><orcid>0000-0002-4509-0148</orcid><order>28</order></author><author><firstname>O.</firstname><surname>Borisova</surname><orcid>0000-0003-1728-7610</orcid><order>29</order></author><author><firstname>N.</firstname><surname>Broothaerts</surname><orcid>0000-0002-8605-9657</orcid><order>30</order></author><author><firstname>J.</firstname><surname>Carrion</surname><orcid>0000-0002-6949-4382</orcid><order>31</order></author><author><firstname>C.</firstname><surname>Caseldine</surname><order>32</order></author><author><firstname>J.</firstname><surname>Christiansen</surname><orcid>0000-0003-2693-9887</orcid><order>33</order></author><author><firstname>Q.</firstname><surname>Cui</surname><orcid>0000-0001-9824-3315</orcid><order>34</order></author><author><firstname>A.</firstname><surname>Currás</surname><orcid>0000-0002-1828-7455</orcid><order>35</order></author><author><firstname>S.</firstname><surname>Czerwiński</surname><orcid>0000-0003-3422-040x</orcid><order>36</order></author><author><firstname>R.</firstname><surname>David</surname><order>37</order></author><author><firstname>A.</firstname><surname>Davies</surname><order>38</order></author><author><firstname>R. 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v2 63538 2023-05-26 Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation 788282697fc0b9ce69b76add9267d7b1 0000-0001-5291-9156 Cynthia Froyd Cynthia Froyd true false 2023-05-26 SBI Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ‘Regional Estimates of VEgetation Abundance from Large Sites’ (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity. Journal Article Land 12 5 986 MDPI AG 2073-445X Europe; quantitative past land cover; Holocene; pollen data; REVEALS model; relative pollen productivity; validation 0 0 0 0001-01-01 10.3390/land12050986 http://dx.doi.org/10.3390/land12050986 COLLEGE NANME Biosciences COLLEGE CODE SBI Swansea University Another institution paid the OA fee This research was funded by the TERRANOVA Project, H2020 Marie Sklodowska-Curie grant agreement no. 813904. 2023-07-10T15:03:20.7479776 2023-05-26T16:29:47.3694057 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Biosciences M. Serge 0000-0001-5506-9732 1 F. Mazier 0000-0003-2643-0925 2 R. Fyfe 0000-0002-5676-008x 3 M.-J. Gaillard 0000-0002-2025-410x 4 T. Klein 0000-0002-1276-3078 5 A. Lagnoux 0000-0002-6841-5814 6 D. Galop 0000-0003-1746-4760 7 E. Githumbi 0000-0002-6470-8986 8 M. Mindrescu 0000-0003-2291-4877 9 A. Nielsen 0000-0001-7854-353x 10 A.-K. Trondman 0000-0003-3865-8548 11 A. Poska 0000-0002-8778-1430 12 S. Sugita 0000-0002-3634-7095 13 J. Woodbridge 0000-0003-0756-3538 14 D. Abel-Schaad 0000-0003-3915-8342 15 C. Åkesson 16 T. Alenius 0000-0003-2965-5177 17 B. Ammann 0000-0001-6123-6357 18 S. Andersen 19 R. Anderson 20 M. Andrič 0000-0003-1211-7081 21 L. Balakauskas 0000-0002-8941-989x 22 L. Barnekow 23 V. Batalova 0000-0002-8375-2835 24 J. Bergman 0000-0002-6753-917x 25 H. Birks 0000-0002-5891-9859 26 L. Björkman 27 A. Bjune 0000-0002-4509-0148 28 O. Borisova 0000-0003-1728-7610 29 N. Broothaerts 0000-0002-8605-9657 30 J. Carrion 0000-0002-6949-4382 31 C. Caseldine 32 J. Christiansen 0000-0003-2693-9887 33 Q. Cui 0000-0001-9824-3315 34 A. Currás 0000-0002-1828-7455 35 S. Czerwiński 0000-0003-3422-040x 36 R. David 37 A. Davies 38 R. De Jong 39 F. Di Rita 0000-0002-3065-8474 40 B. Dietre 0000-0002-9959-3613 41 W. Dörfler 0000-0001-6251-7185 42 E. Doyen 43 K. Edwards 44 A. Ejarque 0000-0001-9101-5299 45 E. Endtmann 46 D. Etienne 47 E. Faure 48 I. Feeser 0000-0002-9618-5139 49 A. Feurdean 0000-0002-2497-3005 50 E. Fischer 51 W. Fletcher 0000-0001-8918-0690 52 F. Franco-Múgica 0000-0002-9372-8863 53 E. Fredh 0000-0003-1787-6976 54 Cynthia Froyd 0000-0001-5291-9156 55 S. Garcés-Pastor 0000-0001-5652-7264 56 I. García-Moreiras 0000-0001-8713-0374 57 E. Gauthier 0000-0002-9238-8190 58 G. Gil-Romera 0000-0001-5726-2536 59 P. González-Sampériz 0000-0002-5097-1468 60 M. Grant 0000-0002-4766-6913 61 R. Grindean 0000-0002-0518-8490 62 J. Haas 63 G. Hannon 0000-0002-5536-7884 64 A.-J. Heather 65 M. Heikkilä 0000-0003-3885-8670 66 K. Hjelle 0000-0001-5777-0362 67 S. Jahns 68 N. Jasiunas 69 G. Jiménez-Moreno 0000-0001-7185-8686 70 I. Jouffroy-Bapicot 0000-0001-5920-7565 71 M. Kabailienė 72 I. Kamerling 0000-0003-3321-8631 73 M. Kangur 74 M. Karpińska-Kołaczek 0000-0002-3249-7408 75 A. Kasianova 76 P. Kołaczek 0000-0003-2552-8269 77 P. Lagerås 0000-0002-2804-8028 78 M. Latalowa 0000-0001-7594-5146 79 J. Lechterbeck 0000-0003-3582-2605 80 C. Leroyer 0000-0002-2370-7303 81 M. Leydet 0000-0003-1123-3427 82 M. Lindbladh 0000-0002-0577-0050 83 O. Lisitsyna 0000-0003-1415-7650 84 J.-A. López-Sáez 0000-0002-3122-2744 85 John Lowe 86 R. Luelmo-Lautenschlaeger 87 E. Lukanina 0000-0001-7573-797x 88 L. Macijauskaitė 0000-0002-0623-871x 89 D. Magri 0000-0001-7254-593x 90 D. Marguerie 0000-0001-8672-2570 91 L. Marquer 0000-0002-5772-3782 92 A. Martinez-Cortizas 0000-0003-0430-5760 93 I. Mehl 94 J. Mesa-Fernández 0000-0003-1778-8351 95 T. Mighall 0000-0002-8365-7694 96 A. Miola 0000-0002-3441-4880 97 Y. Miras 0000-0002-4055-4134 98 C. Morales-Molino 0000-0002-9464-862x 99 A. Mrotzek 100 C. Sobrino 0000-0001-8191-3001 101 B. Odgaard 0000-0003-0434-5594 102 I. Ozola 103 S. Pérez-Díaz 0000-0002-2702-0058 104 R. Pérez-Obiol 0000-0003-4145-6496 105 C. Poggi 106 P. Rego 0000-0001-6415-8630 107 M. Ramos-Román 108 P. Rasmussen 0000-0001-9219-8410 109 M. Reille 110 M. Rösch 0000-0003-2021-2601 111 P. Ruffaldi 0000-0003-4003-0629 112 M. Goni 0000-0001-8238-7488 113 N. Savukynienė 114 T. Schröder 0000-0002-4521-3398 115 M. Schult 116 U. Segerström 117 H. Seppä 0000-0003-2494-7955 118 G. Vives 0000-0002-2352-9236 119 L. Shumilovskikh 0000-0002-7429-3163 120 H. Smettan 121 M. Stancikaite 0000-0001-9425-5634 122 A. Stevenson 0000-0002-8870-1041 123 N. Stivrins 0000-0002-1136-0146 124 I. Tantau 0000-0002-7197-916x 125 M. Theuerkauf 0000-0002-4033-3040 126 S. Tonkov 0000-0002-0750-4872 127 W. van der Knaap 128 J. van Leeuwen 129 E. Vecmane 130 G. Verstraeten 0000-0002-6529-7381 131 S. Veski 0000-0002-8297-2385 132 R. Voigt 133 H. Von Stedingk 0000-0001-8594-2651 134 M. Waller 0000-0003-3876-2492 135 J. Wiethold 0000-0001-6092-7009 136 K. Willis 137 S. Wolters 0000-0003-3727-1982 138 V. Zernitskaya 139 63538__27622__44a1caa08d6747b7bfb322961aac0c2b.pdf land-12-00986-v3.pdf 2023-05-26T16:38:11.3829197 Output 6131663 application/pdf Version of Record true © 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). true eng https://creativecommons.org/licenses/by/4.0/ |
title |
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation |
spellingShingle |
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation Cynthia Froyd |
title_short |
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation |
title_full |
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation |
title_fullStr |
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation |
title_full_unstemmed |
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation |
title_sort |
Testing the Effect of Relative Pollen Productivity on the REVEALS Model: A Validated Reconstruction of Europe-Wide Holocene Vegetation |
author_id_str_mv |
788282697fc0b9ce69b76add9267d7b1 |
author_id_fullname_str_mv |
788282697fc0b9ce69b76add9267d7b1_***_Cynthia Froyd |
author |
Cynthia Froyd |
author2 |
M. Serge F. Mazier R. Fyfe M.-J. Gaillard T. Klein A. Lagnoux D. Galop E. Githumbi M. Mindrescu A. Nielsen A.-K. Trondman A. Poska S. Sugita J. Woodbridge D. Abel-Schaad C. Åkesson T. Alenius B. Ammann S. Andersen R. Anderson M. Andrič L. Balakauskas L. Barnekow V. Batalova J. Bergman H. Birks L. Björkman A. Bjune O. Borisova N. Broothaerts J. Carrion C. Caseldine J. Christiansen Q. Cui A. Currás S. Czerwiński R. David A. Davies R. De Jong F. Di Rita B. Dietre W. Dörfler E. Doyen K. Edwards A. Ejarque E. Endtmann D. Etienne E. Faure I. Feeser A. Feurdean E. Fischer W. Fletcher F. Franco-Múgica E. Fredh Cynthia Froyd S. Garcés-Pastor I. García-Moreiras E. Gauthier G. Gil-Romera P. González-Sampériz M. Grant R. Grindean J. Haas G. Hannon A.-J. Heather M. Heikkilä K. Hjelle S. Jahns N. Jasiunas G. Jiménez-Moreno I. Jouffroy-Bapicot M. Kabailienė I. Kamerling M. Kangur M. Karpińska-Kołaczek A. Kasianova P. Kołaczek P. Lagerås M. Latalowa J. Lechterbeck C. Leroyer M. Leydet M. Lindbladh O. Lisitsyna J.-A. López-Sáez John Lowe R. Luelmo-Lautenschlaeger E. Lukanina L. Macijauskaitė D. Magri D. Marguerie L. Marquer A. Martinez-Cortizas I. Mehl J. Mesa-Fernández T. Mighall A. Miola Y. Miras C. Morales-Molino A. Mrotzek C. Sobrino B. Odgaard I. Ozola S. Pérez-Díaz R. Pérez-Obiol C. Poggi P. Rego M. Ramos-Román P. Rasmussen M. Reille M. Rösch P. Ruffaldi M. Goni N. Savukynienė T. Schröder M. Schult U. Segerström H. Seppä G. Vives L. Shumilovskikh H. Smettan M. Stancikaite A. Stevenson N. Stivrins I. Tantau M. Theuerkauf S. Tonkov W. van der Knaap J. van Leeuwen E. Vecmane G. Verstraeten S. Veski R. Voigt H. Von Stedingk M. Waller J. Wiethold K. Willis S. Wolters V. Zernitskaya |
format |
Journal article |
container_title |
Land |
container_volume |
12 |
container_issue |
5 |
container_start_page |
986 |
institution |
Swansea University |
issn |
2073-445X |
doi_str_mv |
10.3390/land12050986 |
publisher |
MDPI AG |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Biosciences, Geography and Physics - Biosciences{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Biosciences |
url |
http://dx.doi.org/10.3390/land12050986 |
document_store_str |
1 |
active_str |
0 |
description |
Reliable quantitative vegetation reconstructions for Europe during the Holocene are crucial to improving our understanding of landscape dynamics, making it possible to assess the past effects of environmental variables and land-use change on ecosystems and biodiversity, and mitigating their effects in the future. We present here the most spatially extensive and temporally continuous pollen-based reconstructions of plant cover in Europe (at a spatial resolution of 1° × 1°) over the Holocene (last 11.7 ka BP) using the ‘Regional Estimates of VEgetation Abundance from Large Sites’ (REVEALS) model. This study has three main aims. First, to present the most accurate and reliable generation of REVEALS reconstructions across Europe so far. This has been achieved by including a larger number of pollen records compared to former analyses, in particular from the Mediterranean area. Second, to discuss methodological issues in the quantification of past land cover by using alternative datasets of relative pollen productivities (RPPs), one of the key input parameters of REVEALS, to test model sensitivity. Finally, to validate our reconstructions with the global forest change dataset. The results suggest that the RPPs.st1 (31 taxa) dataset is best suited to producing regional vegetation cover estimates for Europe. These reconstructions offer a long-term perspective providing unique possibilities to explore spatial-temporal changes in past land cover and biodiversity. |
published_date |
0001-01-01T15:03:17Z |
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1771042554224050176 |
score |
11.035874 |