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  • Prediction of spatial distribution of soil available iron in a typical hilly farmland using terrain attributes and Random Forest model.

    Author(s) : Yang QiPoWu WeiLiu HongBin

    Author Affiliation : College of Resources and Environment, Southwest University, Chongqing 400716, China.

    Author Email : lhbin@swu.edu.cnQipoyang@163.com

    Journal article : Zhongguo Shengtai Nongye Xuebao / Chinese Journal of Eco-Agriculture 2018 Vol.26 No.3 pp.422-431 ref.60

    Abstract : Soil available ironironSubject Category: Chemicals and Chemical Groups
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    is essential for plant growth. Detailed information on the spatial distributionspatial distributionSubject Category: Properties
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    of soil available iron is critical for effective management of soil fertilitysoil fertilitySubject Category: Miscellaneous
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    . To date, published works on soil available iron have mainly focused on the spatial variability and little has been done on predicting the spatial distribution of soil available iron. To understand the spatial distribution of soil available iron in hilly areas of Southwest China, we conducted a study in 2014 at a 2-km2 typical hilly region with uniform soil parent materialssoil parent materialsSubject Category: Miscellaneous
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    in Yongxing Town, Jiangjin County, ChongqingchongqingSubject Category: Geographic Entities
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    City. A total of 309 soil samples were collected from cultivated lands at the depth of 0-20 cm. The samples were randomly divided into calibration (224) and validation (85) samples. Nine terrain attributes (including elevation, slopeslopeSubject Category: Properties
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    , aspect, valley depth, horizontal curvature, profile curvature, convergence index, relation position index and topographic wetness index) were extracted from a digital elevation model of spatial resolution of 2.0 m. Ordinary KrigingkrigingSubject Category: Techniques, Methodologies and Equipment
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    (OK), Multiple Linear Regression (MLR) and Random Forest (RF) analyses were used to predict the content of soil available iron based on the terrain attributes. Accuracy indicatorsindicatorsSubject Category: Miscellaneous
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    , including mean absolute error (MAE), root mean square error (RMSE) and coefficient of determinationdeterminationSubject Category: Techniques, Methodologies and Equipment
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    (R2), were used to evaluate model performance based on validation data. Correlation analysiscorrelation analysisSubject Category: Techniques, Methodologies and Equipment
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    showed that topographic wetness index and valley depth were significantly positively correlated with soil available iron content. Slope, horizontal curvature, profile curvature, convergence index and relative position index were on the other hand significantly negatively correlated with soil available iron content. Compared with OK and MLR, RF model performed best, with MAE=22.33 mg.kg-1, RMSE=27.98 mg.kg-1 and R2=0.76. Additionally, RF analysis indicated that topographic wetness and slope were the main factors controlling the spatial distribution of soil available iron. Soil available iron content in the study area was 3.00-276.97 mg.kg-1, which was higher for paddy field than for dryland. Semivariance model showed strong spatial autocorrelation of soil available iron, indicating that structural factors were the main driving force of spatial variationspatial variationSubject Category: Properties
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    of soil available iron. Therefore it was concluded that the RF model together with terrain attributes well explained the spatial variability of soil available iron in the area. The result of the study provided valuable information for studies on predicting the spatial distribution of trace elementstrace elementsSubject Category: Chemicals and Chemical Groups
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    in soils in hilly areas.

    ISSN : 1671-3990

    URL : http://www.ecoagri.ac.cn/.../index.aspx

    Record Number : 20183141722

    Publisher : Science Press

    Location of publication : Beijing

    Country of publication : China

    Language of text : Chinese

    Language of summary : English

    Indexing terms for this abstract:

    Organism descriptor(s) : Oryza sativaoryza sativaSubject Category: Organism Names
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    Descriptor(s) : agricultural landagricultural landSubject Category: Habitats
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    , analysisanalysisSubject Category: Techniques, Methodologies and Equipment
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    , chemical compositionchemical compositionSubject Category: Properties
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    , correlation analysiscorrelation analysisSubject Category: Techniques, Methodologies and Equipment
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    , determinationdeterminationSubject Category: Techniques, Methodologies and Equipment
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    , extractsextractsSubject Category: Miscellaneous
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    , forestsforestsSubject Category: Habitats
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    , indicatorsindicatorsSubject Category: Miscellaneous
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    , ironironSubject Category: Chemicals and Chemical Groups
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    , krigingkrigingSubject Category: Techniques, Methodologies and Equipment
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    , ricericeSubject Category: Commodities and Products
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    , slopeslopeSubject Category: Properties
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    , soilsoilSubject Category: Miscellaneous
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    , soil fertilitysoil fertilitySubject Category: Miscellaneous
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    , soil parent materialssoil parent materialsSubject Category: Miscellaneous
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    , spatial distributionspatial distributionSubject Category: Properties
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    , spatial variationspatial variationSubject Category: Properties
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    , statistical analysisstatistical analysisSubject Category: Techniques, Methodologies and Equipment
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    , topographytopographySubject Category: Miscellaneous
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    , trace elementstrace elementsSubject Category: Chemicals and Chemical Groups
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    , variationvariationSubject Category: Properties
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    Identifier(s) : Chongqing Shi, farmland, microelements, paddy, People's Republic of China, plant growth, statistical methods

    Geographical Location(s) : ChinachinaSubject Category: Geographic Entities
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    , ChongqingchongqingSubject Category: Geographic Entities
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    Broader term(s) : APEC countriesapec countriesSubject Category: Institutions and Organisations
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    , Developing Countriesdeveloping countriesSubject Category: Miscellaneous
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    , East Asiaeast asiaSubject Category: Geographic Entities
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    , AsiaasiaSubject Category: Geographic Entities
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    , South Western Chinasouth western chinaSubject Category: Geographic Entities
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    , ChinachinaSubject Category: Geographic Entities
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    , OryzaoryzaSubject Category: Organism Names
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    , PoaceaepoaceaeSubject Category: Organism Names
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    , PoalespoalesSubject Category: Organism Names
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    , commelinidscommelinidsSubject Category: Organism Names
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    , monocotyledonsmonocotyledonsSubject Category: Organism Names
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    , angiospermsangiospermsSubject Category: Organism Names
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    , SpermatophytaspermatophytaSubject Category: Organism Names
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    , plantsplantsSubject Category: Organism Names
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    , eukaryoteseukaryotesSubject Category: Organism Names
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