Heavy Metal Health Risk Assessment in Picea abies L. Forests Along an Altitudinal Gradient in Southern Romania

Heavy metals (HMs) from industrial pollution are bioaccumulated in plant tissues, but we lack information on their spatial variability in forest ecosystems. <i>Picea abies</i> L. needles, bark, and litter were collected at 17 sites along a 1000-m-wide altitudinal gradient in southern Romania to measure concentrations of mineral nutrients, non-toxic metals, and toxic metals. Isotopic ratios (<sup>206/207</sup>Pb, <sup>87/86</sup>Sr) were used to infer contamination origins. We found significant differences in needle versus bark and litter elements' concentrations, indicating that needles are sensitive biomarkers in tracking air pollution. We found high Fe, Mn, Zn, and Cu concentrations, which can be involved in the low Na, Mg, and P content in needles. The mole ratios indicate a negative relationship with As concentrations in needles. Several environmental health and ecological risk assessment indices document that Cd levels can represent a moderate risk for most sites. Our study shows that <i>P. abies</i> presented an elevated bioaccumulation potential for Fe, Zn, Cu, Ni, and Cr, respectively, and it only absorbed Na, Sr, Cd, and Li. The methodology and results presented herein may serve as a reference for future studies and provide a foundation to develop management strategies to mitigate heavy metal pollution in forest ecosystems.

Authors

Institutions

Publication Details

Journal
Plants
Published
2025-03-19
DOI
https://doi.org/10.3390/plants14060968
Citations
8
Primary Topic
Heavy metals in environment
Type
article
Field-Weighted Citation Impact
4.03
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Heavy Metal Health Risk Assessment in Picea abies L. Forests Along an Altitudinal Gradient in Southern Romania

Carmen Roba, J. Julio Camarero, Ramona Zgavarogea, Claudia Şandru et al.
8 citations
Plants
Heavy metals in environment
4.03
article

Heavy Metal Health Risk Assessment in Picea abies L. Forests Along an Altitudinal Gradient in Southern Romania

Carmen Roba, J. Julio Camarero, Ramona Zgavarogea, Claudia Şandru, Constantin Nechita, Andreea Maria Iordache
article en
8 citations

Abstract

Heavy metals (HMs) from industrial pollution are bioaccumulated in plant tissues, but we lack information on their spatial variability in forest ecosystems. <i>Picea abies</i> L. needles, bark, and litter were collected at 17 sites along a 1000-m-wide altitudinal gradient in southern Romania to measure concentrations of mineral nutrients, non-toxic metals, and toxic metals. Isotopic ratios (<sup>206/207</sup>Pb, <sup>87/86</sup>Sr) were used to infer contamination origins. We found significant differences in needle versus bark and litter elements' concentrations, indicating that needles are sensitive biomarkers in tracking air pollution. We found high Fe, Mn, Zn, and Cu concentrations, which can be involved in the low Na, Mg, and P content in needles. The mole ratios indicate a negative relationship with As concentrations in needles. Several environmental health and ecological risk assessment indices document that Cd levels can represent a moderate risk for most sites. Our study shows that <i>P. abies</i> presented an elevated bioaccumulation potential for Fe, Zn, Cu, Ni, and Cr, respectively, and it only absorbed Na, Sr, Cd, and Li. The methodology and results presented herein may serve as a reference for future studies and provide a foundation to develop management strategies to mitigate heavy metal pollution in forest ecosystems.

PlantsVol. 14(6)
Babeș-Bolyai University (RO), National Institute for Research and Development in Forestry "Marin Drăcea" (RO), Instituto Pirenaico de Ecología (ES), National Institute for Research and Development of Isotopic and Molecular Technologies (RO)
Life in Land
Openalex Percentile: Top 6%
Heavy metals in environment
4.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.