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Determining soil conservation strategies: Ecological risk thresholds of arsenic and the influence of soil properties.
Huang, Yihang; Zhang, Naichi; Ge, Zixuan; Lv, Chen; Zhu, Linfang; Ding, Changfeng; Liu, Cun; Peng, Peiqin; Wu, Tongliang; Wang, Yujun.
Afiliación
  • Huang Y; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
  • Zhang N; College of Environmental Science and Engineering, Central South University of Forestry and Technology, Changsha 410004, China.
  • Ge Z; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
  • Lv C; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Zhu L; College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225009, China.
  • Ding C; College of Environmental Science and Engineering, Yangzhou University, Yangzhou 225009, China.
  • Liu C; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
  • Peng P; University of Chinese Academy of Sciences, Beijing 100049, China.
  • Wu T; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
  • Wang Y; State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing 210008, China.
Eco Environ Health ; 3(2): 238-246, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38693960
ABSTRACT
The establishment of ecological risk thresholds for arsenic (As) plays a pivotal role in developing soil conservation strategies. However, despite many studies regarding the toxicological profile of As, such thresholds varying by diverse soil properties have rarely been established. This study aims to address this gap by compiling and critically examining an extensive dataset of As toxicity data sourced from existing literature. Furthermore, to augment the existing information, experimental studies on As toxicity focusing on barley-root elongation were carried out across various soil types. The As concentrations varied from 12.01 to 437.25 mg/kg for the effective concentrations that inhibited 10% of barley-root growth (EC10). The present study applied a machine-learning approach to investigate the complex associations between the toxicity thresholds of As and diverse soil properties. The results revealed that Mn-/Fe-ox and clay content emerged as the most influential factors in predicting the EC10 contribution. Additionally, by using a species sensitivity distribution model and toxicity data from 21 different species, the hazardous concentration for x% of species (HCx) was calculated for four representative soil scenarios. The HC5 values for acidic, neutral, alkaline, and alkaline calcareous soils were 80, 47, 40, and 28 mg/kg, respectively. This study establishes an evidence-based methodology for deriving soil-specific guidance concerning As toxicity thresholds.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eco Environ Health Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos
Texto completo
Añadir a Mi BVS
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XML
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Eco Environ Health Año: 2024 Tipo del documento: Article País de afiliación: China Pais de publicación: Países Bajos