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Identification of factors driving the spatial distribution of molybdenum (Mo) in topsoil in the Longitudinal Range-Gorge Region of Southwestern China using the Geodetector model.
Wu, Zhiliang; Hou, Qingye; Yang, Zhongfang; Yu, Tao; Li, Dapeng; Lin, Kun; Ma, Xudong.
Affiliation
  • Wu Z; School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
  • Hou Q; School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China. Electronic address: qingyehou@cugb.edu.cn.
  • Yang Z; School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
  • Yu T; School of Science, China University of Geosciences, Beijing 100083, China.
  • Li D; School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
  • Lin K; School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
  • Ma X; School of Earth Sciences and Resources, China University of Geosciences, Beijing 100083, China.
Ecotoxicol Environ Saf ; 271: 115846, 2024 Feb.
Article de En | MEDLINE | ID: mdl-38242045
ABSTRACT
As a key component of plant nitrogen-fixing enzymes and a variety of human coenzyme factors, molybdenum (Mo) plays an essential role in supporting both plant growth and human health. Soil is a key medium for the cycling of Mo in the biosphere. However, the driving anthropogenic and natural factors governing the spatial distribution of Mo in soil and their interactions are not well understood. To determine the factors that affect the spatial patterns of Mo in topsoil, 6980 samples were collected from the Longitudinal Range-Gorge Region (Linshui County, Sichuan Province, China). In this area, tall mountains are adjacent to deep valleys. Topsoil with enriched Mo is mostly distributed in mountainous areas. The most important factors influencing Mo in topsoil are soil parent materials (q = 0.482), altitude (q = 0.256), and soil type (q = 0.259). There are synergistic effects among the various driving factors [q(X1 âˆ© X2) > Max[q(X1), q(X2)]]. The Geodetector model was used to validate the magnitude of the interaction effects. The contribution to interacting factors is nonlinearly enhanced when the contribution of a single factor was low (any two factors of aspect, road distance, land use type, and S). The contribution to interacting factors is enhanced bidirectionally when the contribution of a single factor was high (any two factors of altitude, soil type, soil parent material, OM, and TFe2O3). When the contribution of one factor is high and the other is low, the contributing to interacting factors is mostly enhanced bidirectionally and a few are nonlinearly enhanced.
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Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polluants du sol / Molybdène Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: Ecotoxicol Environ Saf Année: 2024 Type de document: Article Pays d'affiliation: Chine

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Polluants du sol / Molybdène Type d'étude: Diagnostic_studies / Prognostic_studies Limites: Humans Pays/Région comme sujet: Asia Langue: En Journal: Ecotoxicol Environ Saf Année: 2024 Type de document: Article Pays d'affiliation: Chine
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