Spatial and environmental effects on plant communities in the Yellow River Delta, Eastern China

Abstract

Types and structure of plant communities in the Yellow River Delta were investigated by using detrended canonical correspondence analyses (DCCAs) and a two-way indicator species analysis (TWINSPAN). The distribution pattern and influential factors of the plant communities were also analyzed by testing elevation, slope, soil characteristics, longitude and latitude of 134 vegetation samples collected by representative plot sampling methods. Results showed that all the 134 vegetation samples could be divided into seven vegetation groups, separately dominated by Robinia pseucdoacacia, Imperata cylindrical, Miscanthus saccharifleus, Suaeda salsa, Aeluropus sinensis, Phragmites australis and Tamarix chinensis. The vegetation distribution pattern was mainly related to elevation, ground water depth and soil characteristics such as salinity and soluble potassium. Among the factors affecting distribution pattern of the plant communities, the species matrix explained by non-spatial environmental variation accounts for 45.2% of total variation. Spatial variation and spatial-structured environmental variation explain 11.8%, and 2.2%, respectively. Remained 40.8% of undetermined variation is attributed to biological and stochastic factors.

Keywords

detrended canonical correspondence analyses / environmental factors / plant communities / spatial factors / Yellow River Delta / two-way indicator species analysis

References

[1] Ammann B., Birks H.J.B., Drescher-Scneider R., Juggins S., Lang G., Lotter A.. Patterns of variation in Late-glacial pollen stratigraphy along a northwest-southeast transect through Switzerland — a numerical analysis. Quat Sci Rev, 1993, 12: 277-286.

[2] Anderson T.M., McNaughton S.J., Ritchie M.E.. Scale-dependent relationships between the spatial distribution of a limiting resource and plant species diversity in an African grassland ecosystem. Oecologia, 2004, 139: 277-287.

[3] Birks H.J.B., Lotter A.F.. The impact of the Laacher See Volcano (11 000 yr. B. P.) on terrestrial vegetation and diatoms. J. Paleolimnol., 1994, 11: 313-322.

[4] Borcard D., Legendre P.. Environmental control and spatial structure in ecological communities: an example using oribatid mites (Acari, Oribatei). Environ Ecol Stat, 1994, 1: 37-61.

[5] Borcard D., Legendre P., Drapeau P.. Partialling out the spatial component of ecological variation. Ecology, 1992, 73: 1045-1055.

[6] Chang J., Liu G., Liu Q.. Analysis on spatio-temporal feature of coastline change in the Yellow River Estuary and its relation with runoff and sand-transportation. Geogr. Res., 2004, 23(3): 339-346.

[7] Cousins S.A.O., Eriksson O.. The influence of management history and habitat on plant species richness in a rural hemi-boreal landscape, Sweden. Landscape Ecology, 2002, 17: 517-529.

[8] Currie D.J.. Energy and large-scale patterns of animal and plant species richness. American Naturalist, 1991, 137: 27-49.

[9] Hill M.O.. TWINSPAN—A fortran program for arranging multivariate data in an ordered two-way table by classification of the individuals and attributes. 1979, Ithaca, NY: Cornell University, USA

[10] Liu G.. Soil physical and chemical analysis & description of soil profiles. 1996, Beijing: China standards press, China

[11] Ohmann J.L., Spies T.A.. Regional gradient analysis and spatial pattern of woody plant communities of Oregon forests. Ecol. Monogr., 1998, 68: 151-182.

[12] Pang J., Jiang M., Li F.. Changes and development trend of runoff, sediment discharge and coastline of the Yellow River Estuary. Trans Oceanol Limnol, 2000, 4: 3-6.

[13] Roche P., Tatoni T., Médali F.. Relative importance of abiotic and land use factors in explaining variation in woody vegetation in a French rural landscape. J Veg Sc, 1998, 9: 221-228.

[14] Shao Q., Xie X., Li F.. Studies of flora of Yellow River Delta National Reserve Area. Acta Botanica Boreali-Occidentalia Sinica, 2002, 22(4): 947-951.

[15] Ter Braak C.J.F.. CANOCO: a FORTRAN program for canonical community ordination. 1990, Ithaca, N.Y.: Microcomputer Power

[16] Tian J., Jia W., Dou H.. Study on biodiversity in the Yellow River Delta. 1999, Qingdao: Qingdao Press, China, 84 93

[17] Van-der-Marrel E.. Transformation of cover-abundance values in phytosociology and its effects on community similarity. Vegetatio, 1979, 39: 97-114.

[18] Wang X., Wang Q., Liu G., Li H.. Analysis of land use and land cover change in Yellow River Delta. Journal of Soil and Water Conservation, 2006, 20(5): 158-161.

[19] Wang H., Li Z., Song G., Gao J., Yan J.. The correlation among vegetation distribution, land use type and soil character in Yellow River Delta. Acta Scientiarum Naturalium Universitatis Nei-Mongol, 2006, 37(1): 69-75.

[20] Wu Z., Zhao S., Zhang X.. Studies on interrelation between salt vegetation and soil salinity in the Yellow River Delta. Acta Phytoecologica Sinica, 1994, 18(2): 184-193.

[21] Xu J.. A study of thresholds of runoff and sediment for the land accretion of the Yellow River Delta. Geogr Res, 2002, 21(2): 163-170.

[22] Yue T.X., Liu J.Y., Jørgensen S.E., Ye Q.H.. Landscape change detection of the newly created wetland in the Yellow River Delta. Ecological Modeling, 2003, 164: 21-31.

[23] Zang Q.. Near shore sediment along the Yellow River Delta. 1996, Beijing: Ocean Press, China, 34 42