| Global fern and lycophyte richness explained: How regional and local factors shape plot richness | |
| Weigand, Anna; Abrahamczyk, Stefan; Aubin, Isabelle2; Bita-Nicolae, Claudia; Bruelheide, Helge4,5; Carvajal-Hernandez, Cesar, I; Cicuzza, Daniele7,8; Nascimento da Costa, Lucas Erickson9; Csiky, Janos10; Dengler, Juergen5,11,12; de Gasper, Andre Luis13; Guerin, Greg R.; Haider, Sylvia4,5; Hernandez-Rojas, Adriana; Jandt, Ute4,5; Reyes-Chavez, Johan; Karger, Dirk N.; Khine, Phyo Kay7; Kluge, Juergen15; Kromer, Thorsten18; Lehnert, Marcus4,19; Lenoir, Jonathan20; Moulatlet, Gabriel M.; Aros-Mualin, Daniela; Noben, Sarah; Olivares, Ingrid22; Quintanilla, Luis G.; Reich, Peter B.; Salazar, Laura26; Silva-Mijangos, Libertad; Tuomisto, Hanna28; Weigelt, Patrick29; Zuquim, Gabriela28; Kreft, Holger29,30; Kessler, Michael | |
| 2020 | |
| Source Publication | JOURNAL OF BIOGEOGRAPHY
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| ISSN | 0305-0270 |
| Volume | 47Issue:1Pages:59-71 |
| Abstract | Aim To disentangle the influence of environmental factors at different spatial grains (regional and local) on fern and lycophyte species richness and to ask how regional and plot-level richness are related to each other. Location Global. Taxon Ferns and lycophytes. Methods We explored fern and lycophyte species richness at two spatial grains, regional (hexagonal grid cells of 7,666 km(2)) and plot level (300-500 m(2)), in relation to environmental data at regional and local grains (the 7,666 km(2) hexagonal grid cells and 4 km(2) square grid cells, respectively). For the regional grain, we obtained species richness data for 1,243 spatial units and used them together with climatic and topographical predictors to model global fern richness. For the plot-level grain, we collated a global dataset of nearly 83,000 vegetation plots with a surface area in the range 300-500 m(2) in which all fern and lycophyte species had been counted. We used structural equation modelling to identify which regional and local factors have the biggest effect on plot-level fern and lycophyte species richness worldwide. We investigate how plot-level richness is related to modelled regional richness at the plot's location. Results Plot-level fern and lycophyte species richness were best explained by models allowing a link between regional environment and plot-level richness. A link between regional richness and plot-level richness was essential, as models without it were rejected, while models without the regional environment-plot-level richness link were still valid but had a worse goodness-of-fit value. Plot-level richness showed a hump-shaped relationship with regional richness. Main conclusions Regional environment and regional fern and lycophyte species richness each are important determinants of plot-level richness, and the inclusion of one does not substitute the inclusion of the other. Plot-level richness increases with regional richness until a saturation point is reached, after which plot-level richness decreases despite increasing regional richness, possibly reflecting species interactions. |
| Keyword | big data macroecology pteridophytes regional-local richness relationship saturation curves structural equation modelling |
| Subject Area | Ecology ; Geography, Physical |
| DOI | 10.1111/jbi.13782 |
| Indexed By | SCI |
| Language | 英语 |
| WOS ID | WOS:000504818800001 |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.xtbg.ac.cn/handle/353005/11587 |
| Collection | 2012年后新成立研究组 |
| Affiliation | 1.Univ Zurich, Dept Systemat & Evolutionary Bot, Zollikerstr 107, CH-8008 Zurich, Switzerland 2.Univ Bonn, Nees Inst Biodivers Plants, Bonn, Germany 3.Nat Resources Canada, Canadian Forest Serv, Great Lakes Forestry Ctr, Sault Ste Marie, ON, Canada 4.Romanian Acad, Inst Biol, Bucharest, Romania 5.Martin Luther Univ Halle Wittenberg, Inst Biol Geobot & Bot Garden, Halle, Germany 6.German Ctr Integrat Biodivers Res iDiv, Leipzig, Germany 7.Univ Veracruzana, Inst Invest Biol, Luis Castelazo Ayala S-N, Xalapa, Veracruz, Mexico 8.Chinese Acad Sci, Ctr Integrat Conservat, Xishuangbanna Trop Bot Garden, Menglun, Mengla, Peoples R China 9.Univ Brunei Darussalam, Fac Sci Environm & Life Sci, Bandar Seri Begawan, Brunei 10.Univ Fed Pernambuco, Dept Bot, Av Prof Moraes Rego, Recife, PE, Brazil 11.Univ Pecs, Dept Ecol, Pecs, Hungary 12.Zurich Univ Appl Sci ZHAW, Inst Nat Resource Sci IUNR, Vegetat Ecol Grp, Wadenswil, Switzerland 13.Univ Bayreuth, Plant Ecol, Bayreuth Ctr Ecol & Environm Res BayCEER, Bayreuth, Germany 14.Univ Reg Blumenau, Herbario Dr Roberto Miguel Klein, Blumenau, SC, Brazil 15.Guerin, Greg R.] Univ Adelaide, Sch Biol Sci, TERN, Adelaide, SA, Australia 16.Univ Marburg, Dept Geog, Marburg, Germany 17.Zamorano Univ, Zamorano Biodivers Ctr, Tegucigalpa, Honduras 18.Karger, Dirk N.] Swiss Fed Res Inst WSL, Birmensdorf, Switzerland 19.Ctr Invest Trop, Xalapa, Veracruz, Mexico 20.Ludwig Maximilians Univ Munchen, Systemat Bot & Mycol, Munich, Germany 21.Univ Picardie Jules Verne, UMR 7058 CNRS UPJV, UR Ecol & Dynam Syst Anthropises EDYSAN, Amiens, France 22.Moulatlet, Gabriel M.] Univ Reg Amazon, Fac Ciencias Tierra & Agua, Tena, Napo, Ecuador 23.UCL, Ctr Biodivers & Environm Res, London, England 24.Quintanilla, Luis G.] Univ Rey Juan Carlos, Dept Biol & Geol Phys & Inorgan Chem, Mostoles, Spain 25.Reich, Peter B.] Univ Minnesota, Dept Forest Resources, St Paul, MN USA 26.Reich, Peter B.] Western Sydney Univ, Hawkesbury Inst Environm, Sydney, NSW, Australia 27.Univ Tecnol Indoamer Machala & Sabanilla, Fac Ciencias Medio Ambiente, Ctr Invest Biodiversidad & Cambio Climat, BioCamb & Ingn Biodiversidad & Recursos Genet, Quito, Ecuador 28.Univ Ciencias & Artes Chiapas, Sede Mapastepec, Chiapas, Mexico 29.Univ Turku, Dept Biol, Turku, Finland 30.Univ Goettingen, Biodivers Macroecol & Biogeog, Gottingen, Germany 31.Univ Goettingen, Ctr Biodivers & Sustainable Land Use CBL, Gottingen, Germany |
| Recommended Citation GB/T 7714 | Weigand, Anna,Abrahamczyk, Stefan,Aubin, Isabelle,et al. Global fern and lycophyte richness explained: How regional and local factors shape plot richness[J]. JOURNAL OF BIOGEOGRAPHY,2020,47(1):59-71. |
| APA | Weigand, Anna.,Abrahamczyk, Stefan.,Aubin, Isabelle.,Bita-Nicolae, Claudia.,Bruelheide, Helge.,...&Kessler, Michael.(2020).Global fern and lycophyte richness explained: How regional and local factors shape plot richness.JOURNAL OF BIOGEOGRAPHY,47(1),59-71. |
| MLA | Weigand, Anna,et al."Global fern and lycophyte richness explained: How regional and local factors shape plot richness".JOURNAL OF BIOGEOGRAPHY 47.1(2020):59-71. |
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| Global fern and lyco(1690KB) | 期刊论文 | 作者接受稿 | 开放获取 | CC BY-NC-SA | View Download | |
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