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Plant Community and Succession in Lowland Grasslands under Saline–Alkali Conditions with Grazing Exclusion
Author(s) -
Zhao Xiang,
Zhu Huisen,
Dong Kuanhu,
Li Deying
Publication year - 2017
Publication title -
agronomy journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.752
H-Index - 131
eISSN - 1435-0645
pISSN - 0002-1962
DOI - 10.2134/agronj2016.12.0734
Subject(s) - canonical correspondence analysis , grazing , phragmites , ecological succession , plant community , environmental science , agronomy , biomass (ecology) , diversity index , grassland , leymus , grassland degradation , ecology , biology , species richness , wetland
Core Ideas Soil properties are important factors for pasture degradation in addition to grazing management. Community patch formation could be predicted from soil variables. Community patch types may be used as an indicator of the degree of grassland degradation. Grazing exclusion affects biomass production and species diversity differently.Rangeland degradation poses a serious environmental and economic problem in northern China. This study investigated soil conditions and plant community patches prior to and after grazing exclusion in Youyu County, Shanxi Province. The soil at this site has a pH of 8.2 to 10.1 and electrical conductivity of 0.4 to 5.9 dS m −1 . With the exception of bare patches, the patches were named after the dominant species, that is, Artemisia anethifolia Weber ex Stechm. (AA), Phragmites australis (Cav.) Trin. ex Steud. (PA), Puccinellia distans (Jacq.) Parl. (PD), Chloria virgate Sw. (CV), and Leymus secalinus (Georgi) Tzvel. (LS) with increasing biomass production, Shannon–Wiener index ( H’ ), evenness index ( V’ ), degree of succession ( D s ), and patch shape parameters. Canonical correlation analysis was used to explain the relationships between soil variables and biological, and between soil variables and shape variables of the community patches. The soil canonical variable was represented by soil moisture, organic matter, and bulk density with a standardized canonical coefficient of 1.09, 0.79, and –0.69, respectively. The plant canonical variable was represented by biomass production with correlation coefficient of 0.96 ( P = 0.0021). A total of 73.0% of the variance standardizing the measuring units of the plant variables were explained by the soil canonical variable, indicating that the first latent soil variable could be used to predict the latent plant variable. Open grazing (90% biomass removal) contributed to the deterioration of the grassland. Over a 2‐yr period, grazing exclusion did not increase the H’ but it did increase biomass production. Therefore, correcting soil problems is needed in addition to reducing the grazing stock.