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罗马尼亚南部沿海拔梯度的落叶林中重金属健康风险评估

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

作者信息

Nechita Constantin, Iordache Andreea Maria, Roba Carmen, Sandru Claudia, Zgavarogea Ramona, Camarero J Julio

机构信息

Department of Biometry, National Institute for Research and Development in Forestry "Marin Drăcea", Calea Bucovinei, 73 bis, 725100 Câmpulung Moldovenesc, Romania.

National Research and Development Institute for Cryogenics and Isotopic Technologies-ICSI Rm. Valcea, 4 Uzinei Street, 240050 Valcea, Romania.

出版信息

Plants (Basel). 2025 Mar 19;14(6):968. doi: 10.3390/plants14060968.

Abstract

Heavy metals (HMs) from industrial pollution are bioaccumulated in plant tissues, but we lack information on their spatial variability in forest ecosystems. 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 (Pb, 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 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.

摘要

工业污染中的重金属(HMs)会在植物组织中生物累积,但我们缺乏其在森林生态系统中空间变异性的相关信息。在罗马尼亚南部沿1000米宽的海拔梯度的17个地点采集了松针、树皮和凋落物,以测量矿质养分、无毒金属和有毒金属的浓度。利用同位素比率(铅、锶)推断污染来源。我们发现松针与树皮和凋落物元素浓度存在显著差异,这表明松针是追踪空气污染的敏感生物标志物。我们发现铁、锰、锌和铜的浓度较高,这可能与松针中低钠、镁和磷的含量有关。摩尔比率表明与松针中砷的浓度呈负相关。几个环境卫生和生态风险评估指标表明,镉含量对大多数地点可能构成中等风险。我们的研究表明,分别对铁、锌、铜、镍和铬具有较高的生物累积潜力,并且它只吸收钠、锶、镉和锂。本文介绍的方法和结果可为未来研究提供参考,并为制定减轻森林生态系统重金属污染的管理策略奠定基础。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6f47/11944697/202e9d452f0e/plants-14-00968-g001.jpg

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