Mercury biomagnification patterns in boreal and subarctic lake food webs.

IF 7.7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Environmental Research Pub Date : 2025-11-15 Epub Date: 2025-07-18 DOI:10.1016/j.envres.2025.122352
Alexander J Piro, Natalia Kozak, Ossi Keva, Emmi S Eerola, Katja Kulo, Timo J Ruokonen, Jan Weckström, Tommi Malinen, Mikko Kiljunen, Sami J Taipale, Kimmo K Kahilainen
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Abstract

Climate change and land use are significant pressures on northern environments with the potential to influence mercury (Hg) biomagnification in lake food webs. How this process may differ along a north-south gradient, defined by simultaneously changing environmental characteristics, has not been thoroughly explored. Lake food webs, from primary producers to top predators, from 19 subarctic and 16 boreal lakes in Finland were tested for total Hg (THg) biomagnification through the linear regression of THg content (log10[THg]) and trophic level derived from δ15N. Climate, productivity, lake, and catchment variables were combined and assessed in a principal component analysis (PCA), and the first three principal components (PC) (71.1% of overall variability) were individually regressed with regional trophic magnification slopes (TMS), and mercury baselines ([THg] baseline). PC1 (climate-productivity), PC2 (water bodies), and PC3 (catchment metrics) were used in stepwise multiple linear regression models to assess the combined influence of PCs on regional TMS and [THg] baseline. Subarctic TMS and [THg] baseline were positively and negatively important, respectively, along a climate-productivity gradient (PC1). The stepwise model for subarctic TMS included PC1 and PC2, which explained 42.3% of variation, while the model for boreal TMS included all three PCs, which explained 35.4% of variation. The notable complexity of influences on boreal lakes makes modelling and future predictions challenging for this region, while the ongoing and simultaneous influences of climate warming and land use intensification in the subarctic region suggest lower TMS in the future.

北方和亚北极湖泊食物网中的汞生物放大模式。
气候变化和土地利用是北方环境面临的重大压力,有可能影响湖泊食物网中的汞生物放大效应。这一过程如何沿着南北梯度(由同时变化的环境特征定义)有所不同,尚未得到彻底探讨。通过对芬兰19个亚北极和16个北方湖泊的THg含量(log10[THg])和由δ15N推导的营养水平进行线性回归,研究了从初级生产者到顶级捕食者的湖泊食物网中总汞(THg)的生物放大效应。通过主成分分析(PCA)对气候、生产力、湖泊和流域变量进行组合和评估,并分别用区域营养放大斜率(TMS)和汞基线([THg]基线)对前三个主成分(PC)(占总变异性的71.1%)进行回归。PC1(气候生产力)、PC2(水体)和PC3(流域指标)被用于逐步多元线性回归模型,以评估PC1对区域TMS和[THg]基线的综合影响。亚北极TMS和[THg]基线沿气候生产力梯度(PC1)分别呈正相关和负相关。亚北极TMS的逐步模型包括PC1和PC2,解释了42.3%的变异,而北方TMS的逐步模型包括所有三个PC1和PC2,解释了35.4%的变异。对北方湖泊影响的显著复杂性使该地区的建模和未来预测具有挑战性,而亚北极地区气候变暖和土地利用集约化的持续和同时的影响表明,未来的TMS较低。
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来源期刊
Environmental Research
Environmental Research 环境科学-公共卫生、环境卫生与职业卫生
CiteScore
12.60
自引率
8.40%
发文量
2480
审稿时长
4.7 months
期刊介绍: The Environmental Research journal presents a broad range of interdisciplinary research, focused on addressing worldwide environmental concerns and featuring innovative findings. Our publication strives to explore relevant anthropogenic issues across various environmental sectors, showcasing practical applications in real-life settings.
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