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Spatial patterns and environmental correlates of bryophyte richness: sampling effort matters

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Abstract

Our knowledge of the spatial distribution of bryophyte diversity still suffers from low sampling efforts. Here we try to determine the spatial diversity patterns of liverworts and mosses and their environmental drivers more accurately by correcting for this sampling bias. We compiled bryoflora from 49 localities in eastern China, including data on sampling effort. Both sampling bias uncorrected (raw) species richness and bias corrected (estimated) species richness, as derived from species-sampling curves, were used as response variables. Model selection based on Akaike’s information criterion was used to evaluate the impact of collection bias on the selection of environmental and spatial variables in the regression models. Variation partitioning was used to assess the independent and joint effects of environmental, spatial and sampling variables on raw and estimated species richness. Liverwort richness increased significantly with decreasing latitude, while moss richness showed no latitudinal pattern, whether for raw or estimated species richness. However, estimated species richness showed stronger correlation with environmental variables than raw species richness. Importantly, selected environmental variables in the raw species richness models changed after correcting for collection bias. Despite their ability to produce copious amounts of spores, our sampling bias corrected models indicated that bryophyte richness showed strong spatial structuring, indicating dispersal limitation. Environmentally, liverwort richness was primarily controlled by water availability, while the richness of mosses was mainly determined by available energy. Our results highlight that biological features, dispersal ability and environmental sorting may account for the discrepancies between species richness of liverworts and mosses. Given the considerable impact that controlling for sampling effort had on analysis outcome, we like to stress the importance of controlling for sampling bias when studying spatial richness patterns in bryophytes.

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References

  • Alpert P (1979) Desiccation of desert mosses following a summer rainstorm. Bryologist 82:65–71

    Article  Google Scholar 

  • Aranda SC, Gabriel R, Borges PA, Lobo JM (2010) Assessing the completeness of bryophytes inventories: an oceanic island as a case study (Terceira, Azorean archipelago). Biodivers Conserv 19:2469–2484

    Article  Google Scholar 

  • Arrhenius O (1921) Species and area. J Ecol 9:95–99

    Article  Google Scholar 

  • Beck J, Ballesteros-Mejia L, Buchmann CM, Dengler J, Fritz SA et al (2012) What’s on the horizon for macroecology? Ecography 35:673–683

    Article  Google Scholar 

  • Borcard D, Legendre P (2002) All-scale spatial analysis of ecological data by means of principal coordinates of neighbour matrices. Ecol Model 153:51–68

    Article  Google Scholar 

  • Chen SB, Jiang GM, Ouyang ZY, Xu WH, Xiao Y (2011) Relative importance of water, energy, and heterogeneity in determining regional pteridophyte and seed plant richness in China. J Syst Evol 49:95–107

    Article  Google Scholar 

  • Chen S, Mao L, Zhang J, Zhou K, Gao J (2014) Environmental determinants of geographic butterfly richness pattern in eastern China. Biodivers Conserv 23:1453–1467

    Article  Google Scholar 

  • Dray S, Legendre P, Peres-Neto PR (2006) Spatial modelling: a comprehensive framework for principal coordinate analysis of neighbour matrices (PCNM). Ecol Model 196:483–493

    Article  Google Scholar 

  • Dunn RR, Agosti D, Andersen AN, Arnan X, Bruhl CA et al (2009) Climatic drivers of hemispheric asymmetry in global patterns of ant species richness. Ecol Lett 12:324–333

    Article  PubMed  Google Scholar 

  • During HJ, Van Tooren BF (1987) Recent developments in bryophyte population ecology. Trends Ecol Evol 2:89–93

    Article  CAS  PubMed  Google Scholar 

  • Dutilleul P (1993) Modifying the t test for assessing the correlation between two spatial processes. Biometrics 49:305–314

    Article  Google Scholar 

  • Fenchel T, Finlay BJ (2004) The ubiquity of small species: patterns of local and global diversity. Bioscience 54:777–784

    Article  Google Scholar 

  • Field R, Hawkins BA, Cornell HV, Currie DJ, Diniz-Filho JAF et al (2009) Spatial species-richness gradients across scales: a meta-analysis. J Biogeogr 36:132–147

    Article  Google Scholar 

  • Finlay BJ (2002) Global dispersal of free living microbial eukaryote species. Science 296:1061–1063

    Article  CAS  PubMed  Google Scholar 

  • Foissner W (2006) Biogeography and dispersal of micro-organisms: a review emphasizing protists. Acta Protozool 45:111–136

    Google Scholar 

  • Fontaneto D, Brodie J (2011) Why biogeography of microorganisms? In: Fontaneto D (ed) Biogeography of microscopic organisms: is everything small everywhere. Cambridge University Press, Cambridge, pp 3–10

    Chapter  Google Scholar 

  • Frahm JP (2008) Diversity, dispersal and biogeography of bryophytes (mosses). Biodivers Conserv 17:277–284

    Article  Google Scholar 

  • Geffert JL, Frahm JP, Barthlott W, Mutke J (2013) Global moss diversity: spatial and taxonomic patterns of species richness. J Bryol 35:1–11

    Article  Google Scholar 

  • Glime JM (2007) Bryophyte ecology, Vol. 1. Physiological ecology. EBook sponsored by Michigan Technological University and the International Association of Bryologists. www.bryoecol.mtu.edu. Accessed Feb 2014

  • Gotelli NJ, Colwell RK (2010) Estimating species richness. In: Magurran AE, McGill BJ (eds) Biological diversity: frontiers in measurement and assessment. Oxford University Press, Oxford, pp 39–54

    Google Scholar 

  • Grau O, Grytnes JA, Birks HJB (2007) A comparison of altitudinal species richness patterns of bryophytes with other plant groups in Nepal, Central Himalaya. J Biogeogr 34:1907–1915

    Article  Google Scholar 

  • Hijmans RJ, Cameron SE, Parra JL, Jones PG, Jarvis A (2005) Very high resolution interpolated climate surfaces for global land areas. Int J Climatol 25:1965–1978

    Article  Google Scholar 

  • Hu R (1990) Distribution of bryophytes in China. Trop Bryol 2:133–137

    Google Scholar 

  • Jia Y, He S (2013) Species catalogue of China (volume 1: bryophytes). Science Press, Beijing

  • Jiang Y, de Bie CAJM, Wang T, Skidmore AK, Liu X et al (2013) Hyper-temporal remote sensing helps in relating epiphyllous liverworts and evergreen forests. J Veg Sci 24:214–226

    Article  Google Scholar 

  • Kier G, Mutke J, Dinerstein E, Ricketts TH, Küper W et al (2005) Global patterns of plant diversity and floristic knowledge. J Biogeogr 32:1107–1116

    Article  Google Scholar 

  • Medina NG, Draper I, Lara F (2011) Biogeography of mosses and allies: does size matter. In: Fontaneto D (ed) Biogeography of microscopic organisms: is everything small everywhere. Cambridge University Press, Cambridge, pp 209–233

    Chapter  Google Scholar 

  • Medina NG, Lara F, Mazimpaka V, Hortal J (2013) Designing bryophyte surveys for an optimal coverage of diversity gradients. Biodivers Conserv 22:3121–3139

    Article  Google Scholar 

  • Möls T, Vellak K, Vellak A, Ingerpuu N (2013) Global gradients in moss and vascular plant diversity. Biodivers Conserv 22:1537–1551

    Article  Google Scholar 

  • Mutke J, Geffert JL (2010) Keep on working: the uneven documentation of regional moss floras. Trop Bryol 31:7–13

    Google Scholar 

  • O’Malley MA (2007) The nineteenth century roots of ‘everything is everywhere’. Nat Rev Microbiol 5:647–651

    Article  PubMed  Google Scholar 

  • Oliver M, Tuba Z, Mishler BD (2000) The evolution of vegetative desiccation tolerance in land plants. Plant Ecol 151:85–100

    Article  Google Scholar 

  • Patiño J, Guilhaumon F, Whittaker RJ, Triantis KA, Gradstein SR et al (2013) Accounting for data heterogeneity in patterns of biodiversity: an application of linear mixed effect models to the oceanic island biogeography of spore-producing plants. Ecography 36:904–913

    Article  Google Scholar 

  • Peres-Neto PR, Legendre P, Dray S, Borcard D (2006) Variation partitioning of species data matrices: estimation and comparison of fractions. Ecology 87:2614–2625

    Article  PubMed  Google Scholar 

  • Pócs T (1996) Epiphyllous liverworts diversity at worldwide level and its threat and conservation. An Inst Biol Univ Nac Auton Mex Bot 67:109–127

    Google Scholar 

  • Porley R, Hodgetts N (2005) Mosses and liverworts. Harper Collins, London

    Google Scholar 

  • Proctor MC, Oliver MJ, Wood AJ, Alpert P, Stark LR et al (2007) Desiccation-tolerance in bryophytes: a review. Bryologist 110:595–621

    Article  CAS  Google Scholar 

  • Qiu YL, Cho Y, Cox JC, Palmer JD (1998) The gain of three mitochondrial introns identifies liverworts as the earliest land plants. Nature 394:671–674

    Article  CAS  PubMed  Google Scholar 

  • Quinn GP, Keough MJ (2002) Experimental design and data analysis for biologists. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Rangel TFLVB, Diniz-Filho JAF, Bini LM (2006) Towards an integrated computational tool for spatial analysis in macroecology and biogeography. Glob Ecol Biogeogr 15:321–327

    Article  Google Scholar 

  • Rangel TFLVB, Diniz-Filho JAF, Bini LM (2010) SAM: a comprehensive application for spatial analysis in macroecology. Ecography 33:46–50

    Article  Google Scholar 

  • Rice SK, Collins D, Anderson AM (2001) Functional significance of variation in bryophyte canopy structure. Am J Bot 88:1568–1576

    Article  CAS  PubMed  Google Scholar 

  • Shaw AJ, Cox CJ, Goffinet B (2005) Global patterns of moss diversity: taxonomic and molecular inferences. Taxon 54:337–352

    Article  Google Scholar 

  • Telford RJ, Vandvik V, Birks HJB (2006) Dispersal limitations matter for microbial morphospecies. Science 312:1015

  • Vanderpoorten A, Engels P (2003) Patterns of bryophyte diversity and rarity at a regional scale. Biodivers Conserv 12:545–553

    Article  Google Scholar 

  • Vanderpoorten A, Goffinet B (2009) Introduction to bryophytes. Cambridge University Press, Cambridge

    Book  Google Scholar 

  • Virtanen R (2014) Diaspore and shoot size as drivers of local, regional and global bryophyte distributions. Glob Ecol Biogeogr 23:610–619

    Article  Google Scholar 

  • von Konrat M, Renner M, Söderström L, Hagborg A, Mutke J (2008) Chapter nine: early land plants today: liverwort species diversity and the relationship with higher taxonomy and higher plants. Fieldiana Bot 47:91–104

    Article  Google Scholar 

  • Whittaker RH (1972) Evolution and measurement of species diversity. Taxon 21:213–251

    Article  Google Scholar 

  • Willig MR, Kaufman DM, Stevens RD (2003) Latitudinal gradients of biodiversity: pattern, process, scale, and synthesis. Annu Rev Ecol Evol Syst 34:273–309

    Article  Google Scholar 

  • Willott SJ (2001) Species accumulation curves and the measure of sampling effort. J Appl Ecol 38:484–486

    Article  Google Scholar 

  • Wood AJ (2007) The nature and distribution of vegetative desiccation-tolerance in hornworts, liverworts and mosses. Bryologist 110:163–177

    Article  Google Scholar 

  • Yang W, Ma K, Kreft H (2013) Geographical sampling bias in a large distributional database and its effects on species richness–environment models. J Biogeogr 40:1415–1426

    Article  Google Scholar 

  • Zhang J, Nielsen SE, Grainger TN, Kohler M et al (2014) Sampling plant diversity and rarity at landscape scales: importance of sampling time in species detectability. PLoS ONE 9:e95334. doi:10.1371/journal.pone.0095334

    Article  PubMed Central  PubMed  Google Scholar 

  • Zhu RL, So ML (2001) Epiphyllous liverworts of China. Nova Hedwig 121:1–418

    Google Scholar 

Download references

Acknowledgments

We thank financial support from the National Key Technology R&D Program (2012BAC01B08) and the Special Public Science and Technology Research Program for Environmental Protection (201209027).

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Authors and Affiliations

  1. Nanjing Institute of Environmental Sciences, Ministry of Environmental Protection, No. 8 Jiangwangmiao Street, Xuanwu District, Nanjing, 210042, China

    Shengbin Chen, Kexin Zhou & Jixi Gao

  2. Faculty of Science, Universiti Brunei Darussalam, Jln Tungku Link, Gadong, BE1410, Brunei Darussalam

    J. W. Ferry Slik

  3. Department of Plant Biology, Michigan State University, East Lansing, MI, 48824, USA

    Lingfeng Mao

  4. Department of Renewable Resources, University of Alberta, Edmonton, T6G 2H1, Canada

    Jian Zhang

  5. College of Life Sciences, Inner Mongolia University, Hohhot, 010021, China

    Rula Sa

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  1. Shengbin Chen
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  2. J. W. Ferry Slik
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Correspondence to Jixi Gao.

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Communicated by Dirk Sven Schmeller.

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Chen, S., Ferry Slik, J.W., Mao, L. et al. Spatial patterns and environmental correlates of bryophyte richness: sampling effort matters. Biodivers Conserv 24, 593–607 (2015). https://doi.org/10.1007/s10531-014-0838-8

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  • DOI: https://doi.org/10.1007/s10531-014-0838-8

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