Skip to main content

Advertisement

Log in

Effect of Environmental Factors on the Spatial Diversity Distribution Patterns of Lycophytes and Ferns in Northeast China

  • Published:
Russian Journal of Ecology Aims and scope Submit manuscript

Abstract

Lycophytes and ferns are the oldest terrestrial vascular plants, sensitive to climate change, and can act as an indicator of environmental change in the forest. However, knowledge about the way in which environmental factors influence diversity distribution of lycophytes and ferns in Northeast China still remains limited. Based on the latest PPGI classification, this study has taken lycophytes and ferns in Northeast China as the research object. Using county distribution information and environmental factor data, combining stepwise multiple regression (SMR) and geographically weighted regression (GWR), species diversity and environmental origin of lycophytes and ferns in Northeast China have been discussed. The results have shown that areas of high species diversity of lycophytes and ferns in Northeast China have mainly been concentrated in Changbai Mountains, Da Hinggan Mountains and Xiao Hinggan Mountains, and Changbai Mountains have been the most abundant. Precipitation of wettest quarter (Bio16), elevation range (ER), and forest area (FA) have been the three key environmental factors affecting the species diversity distribution. Bio16, as the most important factor, can further reveal the influence of special life history characteristics of lycophytes and ferns on species diversity. This study sheds light for the first time on the main environmental factors affecting the species diversity of lycophytes and ferns in Northeast China.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+
from $39.99 /Month
  • Starting from 10 chapters or articles per month
  • Access and download chapters and articles from more than 300k books and 2,500 journals
  • Cancel anytime
View plans

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.
Fig. 6.
Fig. 7.

Similar content being viewed by others

REFERENCES

  1. Wang, J.M., Wang, W.J., Li, J.W., et al., Biogeographic patterns and environmental interpretation of plant species richness in desert regions of Northwest China, Biodiv. Sci., 2017, vol. 25, no. 11, pp. 1192–1201.

    Article  Google Scholar 

  2. Gaston, K.J., Global patterns in biodiversity, Nature, 2000, vol. 405, pp. 220–227.

    Article  CAS  PubMed  Google Scholar 

  3. Tang, Z.Y. and Fang, J.Y., A review on the elevational patterns of plant species diversity, Biodiv. Sci., 2004, vol. 12, no. 1, pp. 20–28.

    Article  Google Scholar 

  4. Qian, H., Large-scale biogeographic patterns of vascular plant richness in North America: An analysis at the generic level, J. Biogeogr., 1998, vol. 25, pp. 829–836.

    Article  Google Scholar 

  5. Costa, L.E.N., Arnan, X., Farias, R.P., et al., Community responses to fine-scale environmental conditions: Ferns alpha and beta diversity along Brazilian Atlantic forest remnants, Acta Oecol., 2019, vol. 101, art. 103475.

    Article  Google Scholar 

  6. Kreft, H. and Jetz, W., Global patterns and determinants of vascular plant diversity, Proc. Natl. Acad. Sci. U. S. A., 2007, vol. 104, pp. 5925–5930.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  7. Li, G.Q., Du, S., and Guo, K., Evaluation of limiting climatic factors and simulation of a climatically suitable habitat for Chinese sea buckthorn, PLoS One, 2015, vol. 10, no. 7, e0131659.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  8. Guisan, A., Tingley, R., Baumgartner, J.B., et al., Predicting species distributions for conservation decisions, Ecol. Lett., 2013, vol. 16, pp. 1424–1435.

    Article  PubMed  PubMed Central  Google Scholar 

  9. Pearson, R.G. and Dawson, T.P., Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?, Glob. Ecol. Biogeogr., 2003, vol. 12, pp. 361–371.

    Article  Google Scholar 

  10. Hawkins, B.A., Field, R., Cornell, H.V., et al., Energy, water, and broad-scale geographic patterns of species richness, Ecology, 2003, vol. 84, no. 12, pp. 3105–3117.

    Article  Google Scholar 

  11. Sanaei, A., Li, M.S., and Ali, A., Topography, grazing, and soil textures control over rangelands' vegetation quantity and quality, Sci. Tot. Environ., 2019, vol. 697, pp. 1–11.

    Article  CAS  Google Scholar 

  12. Stein, A., Gerstner, K., and Kreft, H., Environmental heterogeneity as a universal driver of species richness across taxa, biomes and spatial scales, Ecol. Lett., 2014, vol. 17, pp. 866–880.

    Article  PubMed  Google Scholar 

  13. Wilson, E.O., The Theory of Island Biogeography, Princeton, NJ: Princeton Univ. Press, 1967.

    Google Scholar 

  14. Zhang, W.J. and Chen, J.K., Advances in study of the distribution area of species, Biodiv. Sci., 2003, vol. 11, no. 5, pp. 364–369.

    Article  Google Scholar 

  15. Pausas, J.G. and Saez, L., Pteridophyte richness in the NE Iberian Peninsula: Biogeographic patterns, Plant Ecol., 2000, vol. 148, pp. 195–205.

    Article  Google Scholar 

  16. Kessler, M., Kluge, J., Hemp, A., et al., A global comparative analysis of elevational species richness patterns of ferns, Glob. Ecol. Biogeogr., 2011, vol. 20, pp. 868–880.

    Article  Google Scholar 

  17. Khine, P.K., Kluge, J., Kessler, M., et al., Latitude-independent, continent-wide consistency in climate–richness relationships in Asian ferns and lycophytes, J. Biogeogr., 2019, vol. 46, pp. 981–991.

    Article  Google Scholar 

  18. Guo, Q., Kato, M., and Ricklefs, R.E., Life history, diversity and distribution: A study of Japanese pteridophytes, Ecography, 2003, vol. 26, pp. 129–138.

    Article  Google Scholar 

  19. Ferrer-Castán, D. and Vetaas, O.R., Pteridophyte richness, climate and topography in the Iberian Peninsula: Comparing spatial and nonspatial models of richness patterns, Glob. Ecol. Biogeogr., 2005, vol. 14, pp. 155–165.

    Article  Google Scholar 

  20. Tsujino, R. and Yumoto, T., Vascular plant species richness along environmental gradients in a cool temperate to sub-alpine mountainous zone in central Japan, J. Plant Res., 2013, vol. 126, pp. 203–214.

    Article  PubMed  Google Scholar 

  21. Nettesheim, F.C., Damasceno, E.R., and Sylvestre, L.S., Different slopes of a mountain can determine the structure of ferns and lycophytes communities in a tropical forest of Brazil, Ann. Braz. Acad. Sci., 2014, vol. 86, no. 1, pp. 199–210.

    Article  Google Scholar 

  22. Weigand, A., Abrahamczyk, S., Aubin, I., et al., Global fern and lycophyte richness explained: How regional and local factors shape plot richness, J. Biogeogr., 2020, vol. 47, pp. 59–71.

    Article  Google Scholar 

  23. Ye, J.W., Yuan, Y.G., Cai, L., et al., Research progress of phylogeographic studies of plant species in temperate coniferous and broadleaf mixed forests in Northeastern China, Biodiv. Sci., 2017, vol. 25, no. 12, pp. 1339–1349.

    Article  Google Scholar 

  24. PPG I, A community-derived classification for extant lycophytes and ferns, J. Syst. Evol., 2016, vol. 54, no. 6, pp. 563–603.

    Article  Google Scholar 

  25. Wu, Z.Y., Raven, P.H., Hong, D.Y., et al., Flora of China, vols. 2–3: Lycopodiaceae through Polypodiaceae, Beijing: Science Press; St. Louis: Missouri Botanical Garden Press, 2013.

    Google Scholar 

  26. Fu, P.Y., Clavis Plantarum Chinae Boreali-Orientalis (Editio Secunda), Beijing: Science Press, 1995.

    Google Scholar 

  27. Delectis florae reipublicae popularis sinicae agendae academiae sinicae edita, Flora Reipublicae Popularis Sinicae, Vols. 2–6, Beijing: Science Press, 1959–2004.

  28. Cao, W., Li, J.Y., Fu, P.Y., Yu, X.H., and Zhu, C.X., Floristics and Distribution of Plants in Da Hinggan Ling China, Shenyang: Northeastern Univ. Press, 2004.

    Google Scholar 

  29. Cao, W. and Li, J.Y., Floristics and Distribution of Plants in Xiao Hinggan Ling China, Beijing: Science Press, 2007.

    Google Scholar 

  30. Shrestha, N. and Zhang, X.C., On the presence of North American clubmoss Huperzia lucidula (Lycopodiaceae) in China: An intercontinental disjunction or misidentification, Phytotaxa, 2015, vol. 219, no. 3, pp. 243–252.

    Article  Google Scholar 

  31. Chen, D.K., Zhou, X.M., He, H., et al., Spinulum lioui, a new species referred as to Lycopodium neopungens (Lycopodiopsida: Lycopodiaceae) in China, Phytotaxa, 2017, vol. 307, no. 2, pp. 161–163.

    Article  Google Scholar 

  32. Nagalingum, N.S., Knerr, N., Laffan, S.W., et al., Continental scale patterns and predictors of fern richness and phylogenetic diversity, Front. Genet., 2015, vol. 6, no. 132, pp. 1–14.

    Article  Google Scholar 

  33. Link-Pérez, M.A. and Laffan, S.W., Fern and lycophyte diversity in the Pacific Northwest: Patterns and predictors, J. Syst. Evol., 2018, vol. 56, no. 5, pp. 498–522.

    Article  Google Scholar 

  34. Li, Y., Cao, W., He, X.Y., et al., Prediction of suitable habitat for lycophytes and ferns in Northeast China: A case study on Athyrium brevifrons, Chinese Geogr. Sci., 2019, vol. 29, no. 6, pp. 1011–1023.

    Article  Google Scholar 

  35. Xu, W.D., Zou, C.J., and Zheng, Y.R., The theory and practice of dynamic geo-botany, Chinese J. Ecol., 2019, vol. 38, no. 10, pp. 3153–3168.

    Google Scholar 

  36. Gotelli, N.J. and Colwell, R.K., Quantifying biodiversity: Procedures and pitfalls in the measurement and comparison of species richness, Ecol. Lett., 2001, vol. 4, pp. 379–391.

    Article  Google Scholar 

  37. Senaviratna, N.A.M.R. and Cooray, T.M.J.A., Diagnosing multicollinearity of logistic regression model, Asian J. Probab. Stat., 2019, vol. 5, no. 2, pp. 1–9.

    Article  Google Scholar 

  38. Mayers, R.H., Classical and Modern Regression with Applications, Boston: PWS-Kent Publ., 1990.

    Google Scholar 

  39. Pradhan, P., Strengthening MaxEnt modelling through screening of redundant explanatory bioclimatic variables with variance inflation factor analysis, Researcher, 2016, vol. 8, no. 5, pp. 29–34.

    Google Scholar 

  40. Fotheringham, S., Brunsdon, C., and Charlton, M., Geographically Weighted Regression: The Analysis of Spatially Varying Relationships, New York: Wiley, 2002.

    Google Scholar 

  41. Zhang, K.M., Shen, Y., Zhou, X.L., et al., Analysis of fern research article trends across the Web of Science in the the 21st century, Biodiv. Sci., 2019, vol. 27, no. 11, pp. 1245–1250.

    Article  Google Scholar 

  42. Chen, D.M., Kang, H.Z., Liu, C.J., et al., An overview on the potential quaternary glacial refugia of plants in China mainland, Bull. Bot. Res., 2011, vol. 31, no. 5, pp. 623–632.

    CAS  Google Scholar 

  43. Keppel, G., Niel, K.P.V., Wardell-Johnson, G.W., et al., Refugia: identifying and understanding safe havens for biodiversity under climate change, Glob. Ecol. Biogeogr., 2012, vol. 21, pp. 393–404.

    Article  Google Scholar 

  44. Myers, N., Mittermeier, R.A., Mittermeier, C.G., et al., Biodiversity hotspots for conservation priorities, Nature, 2000, vol. 403, pp. 853–858.

    Article  CAS  PubMed  Google Scholar 

  45. Badgley, C., Smiley, T.M., Terry, R., et al., Biodiversity and topographic complexity: Modern and geohistorical perspectives, Trends Ecol. Evol., 2017, vol. 32, no. 3, pp. 211–226.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Karst, J., Gilbert, B., and Lechowicz, M.J., Fern community assembly: the roles of chance and the environment at local and intermediate scales, Ecology, 2005, vol. 86, no. 9, pp. 2473–2486.

    Article  Google Scholar 

  47. Kerr, J.T. and Packer, L., Habitat heterogeneity as a determinant of mammal species richness in high-energy regions, Nature, 1997, vol. 385, pp. 252–254.

    Article  CAS  Google Scholar 

  48. Rahbek, C. and Graves, G.R., Multiscale assessment of patterns of avian species richness, Proc. Natl. Acad. Sci. U. S. A., 2001, vol. 98, pp. 4534–4539.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  49. Aldasoro, J.J., Cabezas, F., and Aedo, C., Diversity and distribution of ferns in sub-Saharan African, Madagascar and some islands of the South Atlantic, J. Biogeogr., 2004, vol. 31, pp. 1579–1604.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Tang, Z.Y., Qiao, X.J., and Fang, J.Y., Species–area relationship in biological communities, Biodiv. Sci., 2009, vol. 17, no. 6, pp. 549–559.

    Article  Google Scholar 

  51. Laughlin, D.C. and Grace, J.B., A multivariate model of plant species richness in forested systems: Old-growth montane forests with a long history of fire, Oikos, 2006, vol. 114, pp. 60–70.

    Article  Google Scholar 

  52. Wang, X.P., Fang, J.Y., Sanders, N.J., et al., Relative importance of climate vs. local factors in shaping the regional patterns of forest plant richness across northeast China, Ecography, 2009, vol. 32, pp. 133–142.

    Article  CAS  Google Scholar 

  53. Depauw, L., Perring, M.P., Landuyt, D., et al., Light availability and land-use history drive biodiversity and functional changes in forest herb layer communities, J. Ecol., 2020, vol. 4, pp. 1411–1425.

    Google Scholar 

Download references

ACKNOWLEDGMENTS

The specimens and detailed information collected by pioneers of the past decades have laid the foundation for the diversity distribution analysis of this study. We express sincere thanks to Northeast Biological Herbaria of Institute of Applied Ecology, Chinese Academy of Sciences for the valuable distribution data.

Funding

This study has been funded by National Key Research and Development Program of China (no. 2016YFC0500300).

Author information

Authors and Affiliations

Corresponding authors

Correspondence to Yu Chang or Xingyuan He.

Ethics declarations

The authors declare that they have no conflicts of interest.

Supplementary Information

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Yan Li, Chang, Y., He, X. et al. Effect of Environmental Factors on the Spatial Diversity Distribution Patterns of Lycophytes and Ferns in Northeast China. Russ J Ecol 53, 111–122 (2022). https://doi.org/10.1134/S1067413622020096

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1067413622020096

Keywords: