Published March 2018 | Version v1
Journal article

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

  • 1. Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130102 (China)
  • 2. Key Laboratory of Mollisols Agroecology, Chinese Academy of Sciences, Changchun 130102 (China)

Description

Highlights: • Invertase, N:P ratio, water-extractable organic C and labile C were identified as the MDS. • SQI was an effective tool to assess the impacts of agricultural management practices on SQ. • SQI-NLWA showed the best discrimination by different land-use treatments. • Conversion of cropland to forage or grassland significantly improves SQ in NE China. 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.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.scitotenv.2017.10.301

Additional details

Identifiers

DOI
10.1016/j.scitotenv.2017.10.301;
PII
S004896971733019X;

Publishing Information

Journal Title
Science of the Total Environment
Journal Volume
616
Journal Page Range
p. 564-571
ISSN
0048-9697
CODEN
STENDL

INIS

Country of Publication
Netherlands
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
53039316
Subject category
S54: ENVIRONMENTAL SCIENCES;
Descriptors DEI
ADDITIVES; ALFALFA; BIOLOGICAL RECOVERY; CARBON; CHINA; FORAGE; LAND USE; PRINCIPAL COMPONENT ANALYSIS; RANGELANDS; SOILS; WATER
Descriptors DEC
ANIMAL FEEDS; ASIA; ECOSYSTEMS; ELEMENTS; FOOD; HYDROGEN COMPOUNDS; LEGUMINOSAE; MAGNOLIOPHYTA; MAGNOLIOPSIDA; MATHEMATICS; NONMETALS; OXYGEN COMPOUNDS; PLANTS; STATISTICS; TERRESTRIAL ECOSYSTEMS

Optional Information

Copyright
Copyright (c) 2017 Elsevier B.V. All rights reserved.