https://scholars.lib.ntu.edu.tw/handle/123456789/573043
標題: | A spatial prioritization method for identifying potential eco-risk distributions of heavy metals in soil and birds | 作者: | YU-PIN LIN Anthony, Johnathen Mukhtar, Hussnain Lin, Chiao-Ming |
關鍵字: | heavy metal; animal tissue; Article; concentration (parameter); controlled study; correlational study; environmental factor; environmental monitoring; geochemical analysis; geographic distribution; heavy metal removal; nonhuman; risk assessment; sedimentation rate; soil analysis; soil pollution | 公開日期: | 2021 | 卷: | 220 | 來源出版物: | Ecotoxicology and Environmental Safety | 摘要: | Geochemical approaches are popular for evaluations based on heavy metal concentrations in sediments or soils for eco-risk assessment. This study proposes a systematic geochemical approach (SymGeo) to explore six heavy metals in topsoils and bird tissues and organs of the target birds. We assume that the proposed approach based on field-collected heavy metals in topsoils and feathers can predict the areas with the potential risk of the heavy metals in birds. Finite mixture distribution modeling (FMDM) was used to identify background values of the heavy metal concentrations in topsoil. A spatial enrichment factor (EF), potential contamination index (PCI), contamination degree (Cod), and potential ecological risk index (PRI) based on FMDM results for topsoil, and a potential risk index (PRIbird) of heavy metals in the birds, were utilized for systematic prioritization of high eco-risk areas. Using multiple EF, PRI, and Cod results and multiple PRI-based maps of the heavy metals in feathers, we systematically prioritized risk areas where there is a high potential for heavy metal contamination in the birds. Our results indicate that heavy metal concentrations in the feather, liver, and kidney are not spatially cross-autocorrelated but are statistically significantly correlated with some heavy metals in topsoil due to external and internal depositions. Further, multiple EF, Cod, and RI distributions for topsoil, along with the PRI of the feather, showed that adequate coverages for potential risk for birds were greater than 71.05% in the top 30% and 84.69% in the top 20% potential eco-risk priority area of heavy metals in bird liver and kidney. Hence, our proposed approach suggests that assessments of heavy metals in bird feathers and topsoils without bird organs can be utilized to identify spatially high-risk areas. The proposed approach could be improved by incorporating water and sediment samples to enhance the crowdsourcing and the species-specific data. ? 2021 The Authors |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85107111713&doi=10.1016%2fj.ecoenv.2021.112383&partnerID=40&md5=6ee2f95a8cf5c55a69955744ce41c20e https://scholars.lib.ntu.edu.tw/handle/123456789/573043 |
ISSN: | 1476513 | DOI: | 10.1016/j.ecoenv.2021.112383 |
顯示於: | 生物環境系統工程學系 |
在 IR 系統中的文件,除了特別指名其著作權條款之外,均受到著作權保護,並且保留所有的權利。