Selecting the minimum data set and quantitative soil quality indexing of alkaline soils under different land uses in northeastern China

CORC > 东北地理与农业生态研究所 > 湿地生态系统管理学科组 > 期刊论文

	Selecting the minimum data set and quantitative soil quality indexing of alkaline soils under different land uses in northeastern China
	P. J. Yu, S. W. Liu, L. Zhang, Q. Li and D. W. Zhou
刊名	Science of the Total Environment
	2018
卷号	616 页码:564-571
通讯作者	禹朴家，刘世薇
中文摘要	Understanding the influences of land use conversions on soil quality (SQ) and function are essential to adopt proper agricultural management practices for a specific region. The primary objective of this study was to develop soil quality indices (SQIs) to assess the short-term influences of different land uses on SQ in semiarid alkaline grassland in northeastern China. Land use treatments were corn cropland (Corn), alfalfa perennial forage (Alfalfa), monoculture Lyemus chinensis grassland (MG) and successional regrowth grassland (SRG), which were applied for five years. Twenty-two soil indicators were determined at 0-20 cm depth as the potential SQ indicators. Of these, thirteen indicators exhibited treatment differences and were identified as the total data set (TDS) for subsequent analysis. Principal component analysis was used with the TDS to select the minimum data set (MDS), and four SQIs were calculated using linear/non-linear scoring functions and additive/weighted additive methods. Invertase, N:P ratio, water-extractable organic carbon and labile carbon were identified as the MDS. The four SQIs performed well, with significant positive correlations (P < 0.001, n = 16) among them. However, the SQI calculated using the non-linear weighted additive integration (SQI-NLWA) had the best discrimination under different land-use treatments due to the higher F values and larger coefficient of variance as compared to the other SQIs. The SQI value under the MG treatment was the highest, followed by that under the SRG and Alfalfa treatments, and all of these were significantly higher than that of Corn treatment. These results indicated that conversion of cropland to perennial forage or grassland can significantly improve the SQ in the Songnen grassland. In addition, SQI-NLWA can provide a better practical, quantitative tool for assessing SQ and is recommended for soil quality evaluation under different land uses in semiarid agroecosystems. (c) 2017 Elsevier B.V. All rights reserved.
内容类型	期刊论文
源URL	[http://ir.iga.ac.cn/handle/131322/8894]
专题	东北地理与农业生态研究所_湿地生态系统管理学科组_期刊论文
推荐引用方式 GB/T 7714	P. J. Yu, S. W. Liu, L. Zhang, Q. Li and D. W. Zhou. Selecting the minimum data set and quantitative soil quality indexing of alkaline soils under different land uses in northeastern China[J]. Science of the Total Environment,2018,616:564-571.
APA	P. J. Yu, S. W. Liu, L. Zhang, Q. Li and D. W. Zhou.(2018).Selecting the minimum data set and quantitative soil quality indexing of alkaline soils under different land uses in northeastern China.Science of the Total Environment,616,564-571.
MLA	P. J. Yu, S. W. Liu, L. Zhang, Q. Li and D. W. Zhou."Selecting the minimum data set and quantitative soil quality indexing of alkaline soils under different land uses in northeastern China".Science of the Total Environment 616(2018):564-571.