Understanding and protecting forest biodiversity in relation to species and local contributions to beta diversity
Beta diversity is an essential topic for understanding the spatial organization of species composition. By partitioning beta diversity into local contributions to beta diversity (LCBDs) and species contributions to beta diversity (SCBDs), this study can help to arrive at a more general and specific understanding of how beta diversity responds to environmental conditions and is affected by ecological and biological traits of species, which will provide useful advice for the conservation of forest biodiversity. In this study, we used data from a temperate near-mature forest in northeastern China. We used the method of beta regression to point out important factors affecting LCBD and SCBD. The results showed that LCBD was strongly related to species richness, abundance and abiotic environmental conditions, while SCBD was significantly affected by abundance and species niche characteristics. We conclude that our results are of considerable importance for the conservation of forest biodiversity and are of the opinion that these can provide detailed plans in conservation decision making.
KeywordsBeta diversity Local contributions to beta diversity Species contributions to beta diversity Forest conservation Beta regression
This research is supported by the Key Project of National Key Research and Development Plan (2017YFC0504005) and the Program of National Natural Science Foundation of China (31670643).
- Anderson MJ, Crist TO, Chase JM, Vellend M, Inouye BD, Freestone AL, Sanders NJ, Cornell HV, Comita LS, Davies KF, Harrison SP, Kraft NJ, Stegen JC, Swenson NG (2011) Navigating the multiple meanings of β diversity: a roadmap for the practicing ecologist. Ecol Lett 14(1):19–28. https://doi.org/10.1111/j.1461-0248.2010.01552.x CrossRefGoogle Scholar
- Borcard D, Gillet F, Legendre P (2018) Numerical ecology with R. Use R! Series, Springer, Berlin. ISBN 978-3-319-71403-5, eBook ISBN 978-3-319-71404-2Google Scholar
- De Cáceres M, Legendre P, Valencia R, Cao M, Chang LW, Chuyong G, Condit R, Hao Z, Hsieh CF, Hubbell S, Kenfack D, Ma K, Mi X, Supardi Noor MN, Kassim AR, Ren H, Su SH, Sun IF, Thomas D, Ye W, He F (2012) The variation of tree beta diversity across a global network of forest plots. Glob Ecol Biogeorg 21:1191–1202. https://doi.org/10.1111/j.1466-8238.2012.00770.x CrossRefGoogle Scholar
- Dormann CF, Elith J, Bacher S, Buchmann C, Carl G, Carré G, Mar-quéz JRG, Gruber B, Lafourcade B, Leitão PJ, Münkemüller T, McClean C, Osborne PE, Reineking B, Schröder B, Skidmore AK, Zurell D, Lautenbach S (2013) Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:27–46. https://doi.org/10.1111/j.1600-0587.2012.07348.x CrossRefGoogle Scholar
- Dray S, Blanchet G, Borcard D, Clappe S, Guénard G, Jombart T, Larocque G, Legendre P, Madi N, Wagner HH (2018) adespatial: multivariate multiscale spatial analysis. R package version 0.1-1. https://cran.r-project.org/package=adespatial
- Hubbell SP (2001) The unified neutral theory of biodiversity and biogeography. Princeton University Press, NJGoogle Scholar
- Pitman NCA, Terborgh JW, Silman MR, Percy NV, Neill DA, Cerón CE, Palacios WA (2001) Dominance and distribution of tree species in upper amazonian terra firme forests. Ecology 82(8):2101–2117. https://doi.org/10.1890/0012-9658(2001)082%5b2101:DADOTS%5d2.0.CO;2 CrossRefGoogle Scholar
- Wu ZY, Raven PH, Hong DY (1994–2013) Flora of China. Science Press and Missouri Botanical Garden Press, Beijing & St. Louis (in Chinese) Google Scholar