Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

A Quantitative Analysis of Factors Influencing Organic Matter Concentration in the Topsoil of Black Soil in Northeast China Based on Spatial Heterogeneous Patterns

Bibliographic Data

ID22032011
AuthorsZhenbo Du (0009-0006-4265-4717, China Agricultural University), Bingbo Gao (0000-0002-4315-4873, Ministry of Natural Resources, corresponding author), Cong Ou (0000-0003-3079-5169, China Agricultural University), Zhenrong Du (0000-0003-4439-8543, China Agricultural University), Jianyu Yang (0000-0002-4726-8384, Ministry of Natural Resources), Bayartungalag Batsaikhan (0000-0002-4296-4225, Mongolian Academy of Sciences), Battogtokh Dorjgotov (Mongolian Academy of Sciences), Wenju Yun (Ministry of Natural Resources), Dehai Zhu (Ministry of Natural Resources)
Year2021
Volume10
Issue5
Pages348
Publication date2021-05-18
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi10050348
OpenAlexW3160580232
LanguageEN
Citations received1
References cited40

Black soil is fertile, abundant with organic matter (OM) and is exceptional for farming. The black soil zone in northeast China is the third-largest black soil zone globally and produces a quarter of China’s commodity grain. However, the soil organic matter (SOM) in this zone is declining, and the quality of cultivated land is falling off rapidly due to overexploitation and unsustainable management practices. To help develop an integrated protection strategy for black soil, this study aimed to identify the primary factors contributing to SOM degradation. The geographic detector, which can detect both linear and nonlinear relationships and the interactions based on spatial heterogeneous patterns, was used to quantitatively analyze the natural and anthropogenic factors affecting SOM concentration in northeast China. In descending order, the nine factors affecting SOM are temperature, gross domestic product (GDP), elevation, population, soil type, precipitation, soil erosion, land use, and geomorphology. The influence of all factors is significant, and the interaction of any two factors enhances their impact. The SOM concentration decreases with increased temperature, population, soil erosion, elevation and terrain undulation. SOM rises with increased precipitation, initially decreases with increasing GDP but then increases, and varies by soil type and land use. Conclusions about detailed impacts are presented in this paper. For example, wind erosion has a more significant effect than water erosion, and irrigated land has a lower SOM content than dry land. Based on the study results, protection measures, including conservation tillage, farmland shelterbelts, cross-slope ridges, terraces, and rainfed farming are recommended. The conversion of high-quality farmland to non-farm uses should be prohibited

Agronomy · Erosion · Land degradation · Land use · Population · Soil organic matter · Soil Quality · Soil retrogression and degradation · Soil type · Soil water · Tillage · Topsoil · Environmental Science · Land Use and Ecosystem Services · Soil Carbon and Nitrogen Dynamics · Soil erosion and sediment transport · Ecology · Geology · Soil Science

  • Temporal and Spatial Variation (2001–2020) Characteristics of Wind Speed in the Water Erosion Area of the Typical Black Soil Region, Northeast China

    Open Access•Liang Pei, Chunhui Wang et al.•International Journal of…•2022

  • Geographical Detectors‐Based Health Risk Assessment and its Application in the Neural Tube Defects Study of the Heshun Region, China

    Jinfeng Wang, Jin‐Feng Wang et al.•International Journal of…•2010

  • A measure of spatial stratified heterogeneity

    Open Access•Jinfeng Wang, Jin-Feng Wang et al.•Ecological Indicators•2016

  • Soil carbon 4 per mille

    Open Access•Budiman Minasny, Brendan P Malone et al.•Geoderma•2017

  • Environmental health risk detection with GeogDetector

    Open Access•Jinfeng Wang, Jin-Feng Wang et al.•Environmental Modelling & Software•2012

  • Soil organic carbon storage as a key function of soils - A review of drivers and indicators at various scales

    Open Access•Martin Wiesmeier, Livia Urbanski et al.•Geoderma•2019

Unique citing works1
Citations per year0,25
Citation span2022 - 2022 (1)
Citation velocityhistorical
Highly citedNo
Citation typesNeutral: 1

Tools

Open DOIOpen Access
Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae