Bioaccumulation and biomagnification of mercury in Lake Murray, Papua New Guinea

Bowles, Karl C.; Apte, Simon C.; Maher, William A.; Kawei, Matthew; Smith, Ross

doi:10.1139/cjfas-58-5-888

Cited by 28 publications

(40 citation statements)

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“…It is interesting that most of our understanding of Hg in aquatic food webs is based on studies of freshwaters, mainly lakes; this process in marine and estuarine food webs has been comparatively ignored. The proportion of THg as CH 3 Hg + increases with increasing trophic level in an aquatic food web (Table 14.1; Mason et al, 1996;Bowles et al, 2001;Zizek et al, 2007). Field studies show that this proportion is normally <20% in primary producers, increasing to almost 100% in top predators such as fish.…”

Section: Biomagnification Of Mercury Through Food Websmentioning

confidence: 99%

“…This is due to the more efficient trophic transfer of CH 3 Hg + relative to inorganic species with each successive step in the food chain (Mason et al, 1996;Pickhardt et al, 2002). Thus, a herbivorous fish can have low percentage CH 3 Hg + while a predatory invertebrate can have a high percentage CH 3 Hg + (Hill et al, 1996;Tremblay et al, 1996;Bowles et al, 2001;Jardine et al, 2009b).…”

Section: Biomagnification Of Mercury Through Food Websmentioning

confidence: 99%

“…In addition, the use of discrete trophic levels ignored the presence of omnivory within a food web. More recently, δ 15 N (and occasionally δ 13 C) have been used to delineate Subtropical river (Chasar et al, 2009) Arctic marine (Atwell et al, 1998) Tropical lake (Bowles et al, 2001) Temperate reservoir (Chumchal and Hambright, 2009) Total and/or methylmercury (μg/g dw) feeding habits in aquatic systems (see Section 14.5.1) and better understand Hg biomagnification.…”

Section: Biomagnification Of Mercury Through Food Websmentioning

confidence: 99%

“…First, fish from lakes with logging in the catchment had higher Hg concentrations than fish from burnt or reference lakes because baseline Hg concentrations were highest in the former (Garcia and Carignan, 2005). Second, a high biomagnification slope (0.28 for log CH 3 Hg + vs δ 15 N, approximately a ninefold change with each trophic level) led to high Hg concentrations in a Neotropical fish in Papua New Guinea (barramundi Lates calcarifer; Bowles et al, 2001) despite concentrations in water and sediments being low to average (Bowles et al, 2002). Third, lake trout from lakes with longer food chains have higher Hg concentrations than those from lakes with short food chains .…”

Section: Use Of Stable Isotopes To Understand Food Web Structurementioning

confidence: 99%

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Bioaccumulation and Biomagnification of Mercury through Food Webs

Kidd

Clayden

Jardine

2011

Environmental Chemistry and Toxicology of Mercury

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Section: Biomagnification Of Mercury Through Food Websmentioning

confidence: 99%

Section: Biomagnification Of Mercury Through Food Websmentioning

confidence: 99%

Section: Biomagnification Of Mercury Through Food Websmentioning

confidence: 99%

Section: Use Of Stable Isotopes To Understand Food Web Structurementioning

confidence: 99%

See 2 more Smart Citations

Bioaccumulation and Biomagnification of Mercury through Food Webs

Kidd

Clayden

Jardine

2011

Environmental Chemistry and Toxicology of Mercury

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“…Also these results showed an obvious complex interaction mechanism of Cu/Cd coexposure experiments. The negative relationships between heavy metal levels in the tissues and fish sizes were generally supported in the literature (Vinikour et al, 1980;Bowles et al, 2001;Besser et al, 2001) Nussey et al (2000) showed that accumulation of metals (Cr, Mn, Ni, and Pb) decreased with an increase in the length of fish Labeo umbratus. The accumulation of Zn, Cu and Mn in tissues of fish (Lethrinidae) captured from the Arabian Gulf was affected by the sex (Al-Yousuf et al, 2000).…”

Section: Discussionmentioning

confidence: 56%

Untitled

Güner¹,

Gökalp²

2011

Turk. J. Fish. Aquat. Sci.

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In the present work the induction of micronuclei (MNi) and nuclear abnormalities (NAs) in erythrocytes and Cu and Cd accumulation in whole body of Gambusia affinis were studied. Fish were exposed to two different Cu and Cd concentrations, 0.1 ppm and 1 ppm, for 1 and 2 weeks periods and to Cu-Cd combination (0.1 ppm Cu + 0.1 ppm Cd) for 2 weeks period using a semi-static renewal system. Micronucleus and nuclear abnormality analysis were carried out on peripheral blood erythrocytes. When fishes were exposed Cu and Cd in combination, Cu accumulation was increased compared to their singly (0.1 ppm) exposed concentrations. Micronucleus and nuclear abnormality analysis tests revealed that, although Cu and Cd did not significantly increase micronuclei frequency, nuclear abnormalities were significantly induced compared to control groups.

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Widespread variation in stable isotope trophic position estimates: patterns, causes, and potential consequences

Kjeldgaard

Hewlett

Eubanks

2021

Ecological Monographs

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Stable isotope analysis is one of the most widely used techniques to estimate trophic position and provides fundamental insight into the structure and management of ecological communities. To account for the effects of geographic variation in isotope levels, trophic position is typically estimated relative to an isotope “baseline” (i.e., material representing geographic variation) using a methodology such as a formula or statistical analysis. There is, however, remarkable variation in the baselines and methodologies used to estimate trophic position from stable isotopes. The consequences of this lack of standardization are unknown but could result in biased or erroneous conclusions. We conducted a literature review to quantify the variation in baselines and methodologies used to estimate trophic position from stable isotopes. Next, we assessed the consequences of this variation on individual species estimates and food web structure by extracting published trophic positions and applying various baselines and methodologies to existing data sets. We identified 10 baselines and eight methodologies, the use of which varied by ecosystem studied. Moreover, we found that different baselines and methodologies yield significantly different trophic position estimates for individual species, as well as different conclusions about food web structure. Authors should avoid biological interpretations of absolute, stand‐alone trophic positions (as these are prone to a number of biases). We recommend pairing stable isotope analysis with other techniques for more robust conclusions. Increased sample size may mitigate some of the variation caused by different baselines and methodologies; however, an alarmingly large proportion of studies collected only one sample in at least one trophic group (41% of all reviewed studies). Authors should collect a minimum of five samples per trophic group (but ten for best practices) from as many trophic groups as possible to increase statistical power and redundancy in comparisons. When sample size is unavoidably constrained, we recommend using compound‐specific isotope analysis with a taxon‐specific trophic discrimination factor, because it may be more accurate and require fewer samples to maintain appropriate statistical power. Implementing our recommendations will increase the robustness and accuracy of conclusions based on stable isotopes, resulting in better management decisions and a more accurate understanding of ecological communities.

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Bioaccumulation and biomagnification of mercury in Lake Murray, Papua New Guinea

Cited by 28 publications

References 0 publications

Bioaccumulation and Biomagnification of Mercury through Food Webs

Bioaccumulation and Biomagnification of Mercury through Food Webs

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Widespread variation in stable isotope trophic position estimates: patterns, causes, and potential consequences

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