A Source-pathway-receptor Framework for Quantifying Ecological Risk to Shallow- and Deep-rooted Vegetation under Heavy Metal Contamination.

Dwivedi P, Yadav BK

DOI: 10.1007/s00267-026-02587-x
Published: 2026 Sep 16
Container: Environmental management
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1007/s00267-026-02587-x,
  title = {A Source-pathway-receptor Framework for Quantifying Ecological Risk to Shallow- and Deep-rooted Vegetation under Heavy Metal Contamination.},
  author = {Dwivedi P and Yadav BK},
  year = {2026},
  journal = {Environmental management},
  doi = {10.1007/s00267-026-02587-x},
  url = {https://doi.org/10.1007/s00267-026-02587-x}
}

RIS

TY  - JOUR
TI  - A Source-pathway-receptor Framework for Quantifying Ecological Risk to Shallow- and Deep-rooted Vegetation under Heavy Metal Contamination.
AU  - Dwivedi P
AU  - Yadav BK
PY  - 2026
JO  - Environmental management
DO  - 10.1007/s00267-026-02587-x
UR  - https://doi.org/10.1007/s00267-026-02587-x
ER  -

APA

P, D., & BK, Y. (2026). A Source-pathway-receptor Framework for Quantifying Ecological Risk to Shallow- and Deep-rooted Vegetation under Heavy Metal Contamination.. Environmental management. https://doi.org/10.1007/s00267-026-02587-x

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pubmed · retrieved 2026-09-25T22:17:28.543Z