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      The morphometric of lycopsid sporophylls and the evaluation of their dispersal potential: an example from the Upper Devonian of Zhejiang Province, China

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          Abstract

          Background

          Previous studies have discussed the special structural adaptations of Late Palaeozoic lycopsids, for example, the dispersal potential of reproductive organs. Based on materials from the Upper Devonian Wutong Formation in Changxing County, Zhejiang Province, China, we now analyze the morphometric and perform some calculation to evaluate the dispersal of sporophyll units of lycopsids.

          Results

          The fossil sporophyll units are divided into two types in view of obvious difference in shape and we name two new (form) species for them. We also analyze the falling process and give the calculation method of dispersal distance.

          Conclusions

          The fossil sporophyll units show relatively poor potential of wind dispersal compared with modern samaras, and show potential adaptation to the turbulent environment.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12862-021-01933-3.

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          Most cited references21

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          Dispersal in stable habitats

          W Hamilton, Robert M. May (1977)
          Article 0 comments Cited 275 times – based on 0 reviews     Review now
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            Seed dispersal distance is more strongly correlated with plant height than with seed mass

            Fiona Thomson, Angela T. Moles, Tony D Auld … (2011)
            Article 0 comments Cited 196 times – based on 0 reviews     Review now
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              Predicting species' maximum dispersal distances from simple plant traits.

              Lars Götzenberger, Martin Zobel, Meelis Pärtel … (2014)
              Many studies have shown plant species' dispersal distances to be strongly related to life-history traits, but how well different traits can predict dispersal distances is not yet known. We used cross-validation techniques and a global data set (576 plant species) to measure the predictive power of simple plant traits to estimate species' maximum dispersal distances. Including dispersal syndrome (wind, animal, ant, ballistic, and no special syndrome), growth form (tree, shrub, herb), seed mass, seed release height, and terminal velocity in different combinations as explanatory variables we constructed models to explain variation in measured maximum dispersal distances and evaluated their power to predict maximum dispersal distances. Predictions are more accurate, but also limited to a particular set of species, if data on more specific traits, such as terminal velocity, are available. The best model (R2 = 0.60) included dispersal syndrome, growth form, and terminal velocity as fixed effects. Reasonable predictions of maximum dispersal distance (R2 = 0.53) are also possible when using only the simplest and most commonly measured traits; dispersal syndrome and growth form together with species taxonomy data. We provide a function (dispeRsal) to be run in the software package R. This enables researchers to estimate maximum dispersal distances with confidence intervals for plant species using measured traits as predictors. Easily obtainable trait data, such as dispersal syndrome (inferred from seed morphology) and growth form, enable predictions to be made for a large number of species.
              Article 0 comments Cited 63 times – based on 0 reviews     Review now
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                Author and article information

                Contributors
                De-Ming Wang: dmwang@pku.edu.cn
                Journal
                Journal ID (nlm-ta): BMC Ecol Evol
                Journal ID (iso-abbrev): BMC Ecol Evol
                Title: BMC Ecology and Evolution
                Publisher: BioMed Central (London )
                ISSN (Electronic): 2730-7182
                Publication date (Electronic): 3 November 2021
                Publication date PMC-release: 3 November 2021
                Publication date Collection: 2021
                Volume: 21
                Electronic Location Identifier: 198
                Affiliations
                [1 ]GRID grid.11135.37, ISNI 0000 0001 2256 9319, Key Laboratory of Orogenic Belts and Crustal Evolution, School of Earth and Space Sciences, , Peking University, ; Beijing, 100871 China
                [2 ]GRID grid.411510.0, ISNI 0000 0000 9030 231X, College of Geoscience and Surveying Engineering, , China University of Mining and Technology (Beijing), ; Beijing, 100083 China
                [3 ]GRID grid.9227.e, ISNI 0000000119573309, Nanjing Institute of Geology and Palaeontology, , Chinese Academy of Sciences, ; Nanjing, 210008 China
                Article
                Publisher ID: 1933
                DOI: 10.1186/s12862-021-01933-3
                PMC ID: 8565055
                PubMed ID: 34732141
                SO-VID: 6b9de715-cd87-49c4-80d2-c4c160c8ec3d
                Copyright © © The Author(s) 2021
                License:

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                Date received : 10 June 2021
                Date accepted : 29 September 2021
                Funding
                Funded by: National Natural Science Foundation of China
                Award ID: 42072016
                Award ID: 42072016
                Award ID: 41802015
                Award Recipient :
                Categories
                Subject: Research
                Custom metadata
                issue-copyright-statement © The Author(s) 2021

                Keywords: lycopsids,late devonian,dispersal,reynolds number
                Data availability:
                Keywords: lycopsids, late devonian, dispersal, reynolds number

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