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Lamonica D, Charvy L, Kuo D, Fritsch C, Coeurdassier M, Berny P, Charles S. A brief review on models for birds exposed to chemicals. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2024:10.1007/s11356-024-34628-5. [PMID: 39133414 DOI: 10.1007/s11356-024-34628-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/17/2023] [Accepted: 08/01/2024] [Indexed: 08/13/2024]
Abstract
"A Who's Who of pesticides is therefore of concern to us all. If we are going to live so intimately with these chemicals eating and drinking them, taking them into the very marrow of our bones - we had better know something about their nature and their power."-Rachel Carson, Silent Spring. In her day, Rachel Carson was right: plant protection products (PPP), like all the other chemical substances that humans increasingly release into the environment without further precaution, are among our worst enemies today (Bruhl and Zaller, 2019; Naidu et al., 2021; Tang et al., 2021; Topping et al., 2020). All compartments of the biosphere, air, soil and water, are potential reservoirs within which all species that live there are impaired. Birds are particularly concerned: PPP are recognized as a factor in the decline of their abundance and diversity predominantly in agricultural landscapes. Due to the restrictions on vertebrates testing, in silico-based approaches are an ideal choice alternative given input data are available. This is where the problem lies as we will illustrate in this paper. We performed an extensive literature search covering a long period of time, a wide diversity of bird species, a large range of chemical substances, and as many model types as possible to encompass all our future need to improve environmental risk assessment of chemicals for birds. In the end, we show that poultry species exposed to pesticides are the most studied at the individual level with physiologically based toxicokinetic models. To go beyond, with more species, more chemical types, over several levels of biological organization, we show that observed data are crucially missing (Gilbert, 2011). As a consequence, improving existing models or developing new ones could be like climbing Everest if no additional data can be gathered, especially on chemical effects and toxicodynamic aspects.
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Affiliation(s)
- Dominique Lamonica
- University Lyon 1, Laboratory of Biometry and Evolutionary Biology - UMR CNRS5558, 43 boulevard du 11 novembre 1918, Villeurbanne Cedex, 69622, France.
- Research Institute for Development, BotAny and Modeling of Plant Architecture and Vegetation - UMR AMAP, TA A51/PS2, Montpellier Cedex 05, 34398, France.
| | - Lison Charvy
- INSA Lyon, Biosciences department, 20 avenue Albert Einstein, Villeurbanne, 69100, France
| | - Dave Kuo
- Institute of Environmental Engineering (GIEE), National Taiwan University, No. 1, Sec. 4, Roosevelt Rd., Taipei, 106, Taiwan
| | - Clémentine Fritsch
- UMR 6249 Chrono-environnement, CNRS - Université de Franche-Comté, 16 route de Gray, Besançon cedex, 25030, France
| | - Michaël Coeurdassier
- UMR 6249 Chrono-environnement, CNRS - Université de Franche-Comté, 16 route de Gray, Besançon cedex, 25030, France
| | - Philippe Berny
- UR ICE, VetAgro Sup Campus Vétérinaire de Lyon, 1 Avenue Bourgelat, Marcy l'étoile, F-69280, France
| | - Sandrine Charles
- University Lyon 1, Laboratory of Biometry and Evolutionary Biology - UMR CNRS5558, 43 boulevard du 11 novembre 1918, Villeurbanne Cedex, 69622, France
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Thompson LJ, Krüger SC, Coverdale BM, Shaffer LJ, Ottinger MA, Davies JP, Daboné C, Kibuule M, Cherkaoui SI, Garbett RA, Phipps WL, Buechley ER, Godino Ruiz A, Lecoq M, Carneiro C, Harrell RM, Gore ML, Bowerman WW. Assessing African Vultures as Biomonitors and Umbrella Species. FRONTIERS IN CONSERVATION SCIENCE 2021. [DOI: 10.3389/fcosc.2021.729025] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/25/2022] Open
Abstract
African vulture populations are rapidly declining, yet funding and other resources available for their conservation are limited. Improving our understanding of which African vulture species could best serve as an umbrella species for the entire suite of African vultures could help conservationists save time, money, and resources by focusing their efforts on a single vulture species. Furthermore, improving our understanding of the suitability of African vultures as biomonitors for detecting environmental toxins could help conservation authorities to detect changes in ecosystem health. We used a systematic approach based on criteria selected a priori to objectively evaluate the potential of each of the 10 resident African vulture species as (i) an umbrella species for all of the African vulture species, and (ii) an avian biomonitor. For each criterion, we scored the respective African vulture species and summed the scores to determine which species was best suited as an umbrella species and as an avian biomonitor. Our results showed that, overall, certain aspects of vulture ecology (large population sizes, large body sizes, long lifespans, and their ability to be monitored over numerous seasons) support their suitability as biomonitors, while other ecological traits, including their diets and the public's perceptions of vultures, could diminish their suitability. The White-backed Vulture (Gyps africanus) was the best fit of the 10 vulture species in our assessment as both an avian biomonitor and an umbrella species for all African vulture species. Meanwhile, significant knowledge gaps for other species inhibit their utility as biomonitors. Due to their large home-range sizes, African vultures may only be useful as biomonitors at a regional scale. However, there could be value in using the White-backed Vulture as an umbrella species, as an aid to conserve the entire suite of African vulture species.
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Hao Y, Zheng S, Wang P, Sun H, Matsiko J, Li W, Li Y, Zhang Q, Jiang G. Ecotoxicology of persistent organic pollutants in birds. ENVIRONMENTAL SCIENCE. PROCESSES & IMPACTS 2021; 23:400-416. [PMID: 33660728 DOI: 10.1039/d0em00451k] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/04/2023]
Abstract
Considering the explosive growth of the list of persistent organic pollutants (POPs), the scientific community is combatting increasing challenges to protect humans and wildlife from the potentially negative consequences of POPs. Herein, we characterize the main aspects and progress in the ecotoxicology of POPs in avian species since 2000. The majority of previous efforts has revealed the global occurrence of high levels of various POPs in birds. Laboratory research and epidemiological studies imply that POPs exert a broad-spectrum of side-effects on birds by interfering with their endocrine, immune and neural system, reproduction, and development, and growth. However, inconsistent results suggest that the potential effects of POP exposure on the physiological parameters in birds are multifactorial, involving a multitude of biological processes, species-specific differences, gender, age and types of compounds. Great progress has been achieved in identifying the species-specific sensitivity to dioxin-like compounds, which is attributed to different amino acid residues in the ligand-binding domain of the aryl hydrocarbon receptor. Besides the conventional concentration additivity, several studies have suggested that different classes of POPs possibly act synergistically or antagonistically based on their concentration. However, ecotoxicology information is still recorded in a scattered and inadequate manner, including lack of enough avian species, limited number of POPs investigated, and insufficient geographical representation, and thus our understanding of the effects of POPs on birds remains rudimentary, although mechanistic understanding of their mode of action is progressing. Particularly, research on what happens to wild bird populations and their ecosystems under POP stress is still unavailable. Thus, our aim is to predict and trace the effects POPs at different biological organization levels, especially from the molecular, cellular and individual levels to the population, community and ecosystem levels because of the limited and scattered information, as mentioned above.
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Affiliation(s)
- Yanfen Hao
- State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
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Dietz R, Fort J, Sonne C, Albert C, Bustnes JO, Christensen TK, Ciesielski TM, Danielsen J, Dastnai S, Eens M, Erikstad KE, Galatius A, Garbus SE, Gilg O, Hanssen SA, Helander B, Helberg M, Jaspers VLB, Jenssen BM, Jónsson JE, Kauhala K, Kolbeinsson Y, Kyhn LA, Labansen AL, Larsen MM, Lindstøm U, Reiertsen TK, Rigét FF, Roos A, Strand J, Strøm H, Sveegaard S, Søndergaard J, Sun J, Teilmann J, Therkildsen OR, Thórarinsson TL, Tjørnløv RS, Wilson S, Eulaers I. A risk assessment of the effects of mercury on Baltic Sea, Greater North Sea and North Atlantic wildlife, fish and bivalves. ENVIRONMENT INTERNATIONAL 2021; 146:106178. [PMID: 33246245 DOI: 10.1016/j.envint.2020.106178] [Citation(s) in RCA: 22] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/28/2020] [Revised: 09/15/2020] [Accepted: 09/30/2020] [Indexed: 06/11/2023]
Abstract
A wide range of species, including marine mammals, seabirds, birds of prey, fish and bivalves, were investigated for potential population health risks resulting from contemporary (post 2000) mercury (Hg) exposure, using novel risk thresholds based on literature and de novo contamination data. The main geographic focus is on the Baltic Sea, while data from the same species in adjacent waters, such as the Greater North Sea and North Atlantic, were included for comparative purposes. For marine mammals, 23% of the groups, each composing individuals of a specific sex and maturity from the same species in a specific study region, showed Hg-concentrations within the High Risk Category (HRC) and Severe Risk Category (SRC). The corresponding percentages for seabirds, fish and bivalves were 2.7%, 25% and 8.0%, respectively, although fish and bivalves were not represented in the SRC. Juveniles from all species showed to be at no or low risk. In comparison to the same species in the adjacent waters, i.e. the Greater North Sea and the North Atlantic, the estimated risk for Baltic populations is not considerably higher. These findings suggest that over the past few decades the Baltic Sea has improved considerably with respect to presenting Hg exposure to its local species, while it does still carry a legacy of elevated Hg levels resulting from high neighbouring industrial and agricultural activity and slow water turnover regime.
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Affiliation(s)
- Rune Dietz
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark.
| | - Jérôme Fort
- LIENSs, UMR 7266 CNRS-La Rochelle Université, 2 Rue Olympe de Gouges, 17000 La Rochelle, France
| | - Christian Sonne
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Céline Albert
- LIENSs, UMR 7266 CNRS-La Rochelle Université, 2 Rue Olympe de Gouges, 17000 La Rochelle, France
| | - Jan Ove Bustnes
- Norwegian Institute for Nature Research (NINA), FRAM Centre, 9296 Tromsø, Norway
| | | | - Tomasz Maciej Ciesielski
- Department of Biology, Norwegian University of Science and Technology, Høgskoleringen 5, 7491 Trondheim, Norway
| | - Jóhannis Danielsen
- The Faroese Marine Research Institute, Nóatún 1, 100 Tórshavn, Faroe Islands
| | - Sam Dastnai
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Marcel Eens
- Behavioural Ecology & Ecophysiology Group, Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium
| | - Kjell Einar Erikstad
- Norwegian Institute for Nature Research (NINA), FRAM Centre, 9296 Tromsø, Norway
| | - Anders Galatius
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Svend-Erik Garbus
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Olivier Gilg
- UMR 6249 Chrono-environnement, Université de Bourgogne Franche-Comté, 16 route de Gray, 25000 Besançon, France; Groupe de Recherche en Ecologie Arctique, 16 rue de Vernot, 21440 Francheville, France
| | - Sveinn Are Hanssen
- Norwegian Institute for Nature Research (NINA), FRAM Centre, 9296 Tromsø, Norway
| | - Björn Helander
- Swedish Museum of Natural History, Department of Contaminant Research, Frescativägen 40, PO Box 50007, 104 18 Stockholm, Sweden
| | - Morten Helberg
- CEES, Department of Biosciences, University of Oslo, PO Box 1066, 0316 Oslo, Norway
| | - Veerle L B Jaspers
- Department of Biology, Norwegian University of Science and Technology, Høgskoleringen 5, 7491 Trondheim, Norway
| | - Bjørn Munro Jenssen
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark; Department of Biology, Norwegian University of Science and Technology, Høgskoleringen 5, 7491 Trondheim, Norway
| | - Jón Einar Jónsson
- Northeast Iceland Nature Research Centre, Hafnarstétt 3, 640 Húsavík, Iceland
| | - Kaarina Kauhala
- Natural Resources Institute Finland, LUKE, Itäinen Pitkäkatu 4A, 20520 Turku, Finland
| | - Yann Kolbeinsson
- Northeast Iceland Nature Research Centre, Hafnarstétt 3, 640 Húsavík, Iceland
| | - Line Anker Kyhn
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Aili Lage Labansen
- Greenland Institute of Natural Resources, Kivioq 2, PO Box 570, 3900 Nuuk, Greenland
| | - Martin Mørk Larsen
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Ulf Lindstøm
- Institute of Marine Research, FRAM Centre, 9007 Tromsø, Norway; UiT Norwegian Arctic University, Institute of Arctic and Marine Biology, Dramsveien 201, 9037 Tromsø, Norway
| | - Tone K Reiertsen
- Norwegian Institute for Nature Research (NINA), FRAM Centre, 9296 Tromsø, Norway
| | - Frank F Rigét
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Anna Roos
- Swedish Museum of Natural History, Department of Contaminant Research, Frescativägen 40, PO Box 50007, 104 18 Stockholm, Sweden
| | - Jakob Strand
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Hallvard Strøm
- Norwegian Polar Institute, FRAM Centre, PO Box 6606 Langnes, 9296 Tromsø, Norway
| | - Signe Sveegaard
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Jens Søndergaard
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Jiachen Sun
- Behavioural Ecology & Ecophysiology Group, Department of Biology, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium; School of Environment, Jinan University, West Huangpu Avenue 601, 510632 Guangzhou, Guangdong, China
| | - Jonas Teilmann
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | | | | | - Rune Skjold Tjørnløv
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
| | - Simon Wilson
- Arctic Monitoring and Assessment Programme (AMAP) Secretariat, FRAM Centre, PO Box 6606 Langnes, 9296 Tromsø, Norway
| | - Igor Eulaers
- Aarhus University, Department of Bioscience, Arctic Research Centre (ARC), Frederiksborgvej 399, PO Box 358, 4000 Roskilde, Denmark
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5
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Krone O, Bailey LD, Jähnig S, Lauth T, Dehnhard M. Monitoring corticoid metabolites in urine of white-tailed sea eagles: Negative effects of road proximity on breeding pairs. Gen Comp Endocrinol 2019; 283:113223. [PMID: 31323229 DOI: 10.1016/j.ygcen.2019.113223] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/28/2018] [Revised: 05/15/2019] [Accepted: 07/15/2019] [Indexed: 11/30/2022]
Abstract
The white-tailed sea eagle (Haliaeetus albicilla) is known to be sensitive to disturbance. To better understand potential stressors, we measured corticosterone metabolite levels in H. albicilla excreta and recorded the nest success of breeding pairs. We tested the ability of four enzyme immunoassays (EIA) to measure urinary glucocorticoid metabolites (uGM) in the excreta of one adult female eagle subjected to a controlled physiological stress treatment. We identified corticosterone-21-HS to be the most sensitive EIA to changes in uGM concentration. To exclude a sex bias, we confirmed the assay's applicability with samples collected from similar stress treatments in two juvenile males. We used the identified EIA to measure uGM in wild breeding pairs and tested effects of disturbance. Breeding pairs nesting closer to roads and paths had higher uGM concentrations (p = 0.02), which is likely an effect of human recreational activity and disturbance. There was no difference in uGM concentrations between failed and successful nests. Our results highlight the potential impact of road and path proximity on white-tailed sea eagles, with potential importance for species management and conservation, particularly with respect to nest protection zone legislation.
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Affiliation(s)
- Oliver Krone
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Strasse 17, 10315 Berlin, Germany.
| | - Liam D Bailey
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Strasse 17, 10315 Berlin, Germany
| | - Susanne Jähnig
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Strasse 17, 10315 Berlin, Germany
| | | | - Martin Dehnhard
- Leibniz Institute for Zoo and Wildlife Research, Alfred-Kowalke-Strasse 17, 10315 Berlin, Germany
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Hilbers JP, Hoondert RPJ, Schipper AM, Huijbregts MAJ. Using field data to quantify chemical impacts on wildlife population viability. ECOLOGICAL APPLICATIONS : A PUBLICATION OF THE ECOLOGICAL SOCIETY OF AMERICA 2018; 28:771-785. [PMID: 29336512 DOI: 10.1002/eap.1685] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/14/2017] [Revised: 12/07/2017] [Accepted: 12/20/2017] [Indexed: 06/07/2023]
Abstract
Environmental pollution is an important driver of biodiversity loss. Yet, to date, the effects of chemical exposure on wildlife populations have been quantified for only a few species, mainly due to a lack of appropriate laboratory data to quantify chemical impacts on vital rates. In this study, we developed a method to quantify the effects of toxicant exposure on wildlife population persistence based on field monitoring data. We established field-based vital-rate-response functions for toxicants, using quantile regression to correct for the influences of confounding factors on the vital rates observed, and combined the response curves with population viability modelling. We then applied the method to quantify the impact of DDE on three bird species: the White-tailed Eagle, Bald Eagle, and Osprey. Population viability was expressed via five population extinction vulnerability metrics: population growth rate (r1 ), critical patch size (CPS), minimum viable population size (MVP), probability of population extirpation (PE), and median time to population extirpation (MTE). We found that past DDE exposure concentrations increased population extirpation vulnerabilities of all three bird species. For example, at DDE concentrations of 25 mg/kg wet mass of egg (the maximum historic exposure concentration reported in literature for the Osprey), r1 became small (White-tailed Eagle and Osprey) or close to zero (Bald Eagle), the CPS increased up to almost the size of Connecticut (White-tailed Eagle and Osprey) or West Virginia (Bald Eagle), the MVP increased up to approximately 90 (White-tailed Eagle and Osprey) or 180 breeding pairs (Bald Eagle), the PE increased up to almost certain extirpation (Bald Eagle) or only slightly elevated levels (White-tailed Eagle and Osprey) and the MTE became within decades (Bald Eagle) or remained longer than a millennium (White-tailed Eagle and Osprey). Our study provides a method to derive species-specific field-based response curves of toxicant exposure, which can be used to assess population extinction vulnerabilities and obtain critical levels of toxicant exposure based on maximum permissible effect levels. This may help conservation managers to better design appropriate habitat restoration and population recovery measures, such as reducing toxicant levels, increasing the area of suitable habitat or reintroducing individuals.
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Affiliation(s)
- Jelle P Hilbers
- Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University Nijmegen, P.O. Box 9010, NL-6500 GL, Nijmegen, The Netherlands
| | - Renske P J Hoondert
- Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University Nijmegen, P.O. Box 9010, NL-6500 GL, Nijmegen, The Netherlands
| | - Aafke M Schipper
- Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University Nijmegen, P.O. Box 9010, NL-6500 GL, Nijmegen, The Netherlands
| | - Mark A J Huijbregts
- Department of Environmental Science, Institute for Wetland and Water Research, Faculty of Science, Radboud University Nijmegen, P.O. Box 9010, NL-6500 GL, Nijmegen, The Netherlands
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7
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Hoondert RPJ, Hilbers JP, Hendriks AJ, Huijbregts MAJ. Deriving Field-Based Ecological Risks for Bird Species. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2018; 52:3716-3726. [PMID: 29484892 PMCID: PMC5863098 DOI: 10.1021/acs.est.7b05904] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/17/2017] [Revised: 02/12/2018] [Accepted: 02/27/2018] [Indexed: 06/08/2023]
Abstract
Ecological risks (ERs) of pollutants are typically assessed using species sensitivity distributions (SSDs), based on effect concentrations obtained from bioassays with unknown representativeness for field conditions. Alternatively, monitoring data relating breeding success in bird populations to egg concentrations may be used. In this study, we developed a procedure to derive SSDs for birds based on field data of egg concentrations and reproductive success. As an example, we derived field-based SSDs for p, p'-DDE and polychlorinated biphenyls (PCBs) exposure to birds. These SSDs were used to calculate ERs for these two chemicals in the American Great Lakes and the Arctic. First, we obtained field data of p, p'-DDE and PCBs egg concentrations and reproductive success from the literature. Second, these field data were used to fit exposure-response curves along the upper boundary (right margin) of the response's distribution (95th quantile), also called quantile regression analysis. The upper boundary is used to account for heterogeneity in reproductive success induced by other external factors. Third, the species-specific EC10/50s obtained from the field-based exposure-response curves were used to derive SSDs per chemical. Finally, the SSDs were combined with specific exposure data for both compounds in the two areas to calculate the ER. We found that the ERs of combined exposure to these two chemicals were a factor of 5-35 higher in the Great Lakes compared to Arctic regions. Uncertainty in the species-specific exposure-response curves and related SSDs was mainly caused by the limited number of field exposure-response data for bird species. With sufficient monitoring data, our method can be used to quantify field-based ecological risks for other chemicals, species groups, and regions of interest.
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Affiliation(s)
- Renske P. J. Hoondert
- Institute
for Water and Wetland Research, Department of Environmental Science, Radboud University, P.O. Box 9010, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
| | - Jelle P. Hilbers
- Institute
for Water and Wetland Research, Department of Environmental Science, Radboud University, P.O. Box 9010, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
| | - A. Jan Hendriks
- Institute
for Water and Wetland Research, Department of Environmental Science, Radboud University, P.O. Box 9010, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
| | - Mark A. J. Huijbregts
- Institute
for Water and Wetland Research, Department of Environmental Science, Radboud University, P.O. Box 9010, Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
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8
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De Hoop L, Viaene KPJ, Schipper AM, Huijbregts MAJ, De Laender F, Hendriks AJ. Time-varying effects of aromatic oil constituents on the survival of aquatic species: Deviations between model estimates and observations. ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2017; 36:128-136. [PMID: 27225858 DOI: 10.1002/etc.3508] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2015] [Revised: 07/28/2015] [Accepted: 05/24/2016] [Indexed: 06/05/2023]
Abstract
There is a need to study the time course of toxic chemical effects on organisms because there might be a time lag between the onset of chemical exposure and the corresponding adverse effects. For aquatic organisms, crude oil and oil constituents originating from either natural seeps or human activities can be relevant case studies. In the present study the authors tested a generic toxicokinetic model to quantify the time-varying effects of various oil constituents on the survival of aquatic organisms. The model is based on key parameters applicable to an array of species and compounds with baseline toxicity reflected by a generic, internal toxicity threshold or critical body burden (CBB). They compared model estimates with experimental data on the effects of 8 aromatic oil constituents on the survival of aquatic species including crustaceans and fish. The average model uncertainty, expressed as the root mean square error, was 0.25 (minimum-maximum, 0.04-0.67) on a scale between 0 and 1. The estimated survival was generally lower than the measured survival right after the onset of oil constituent exposure. In contrast, the model underestimated the maximum mortality for crustaceans and fish observed in the laboratory. Thus, the model based on the CBB concept failed to adequately predict the lethal effects of the oil constituents on crustaceans and fish. Possible explanations for the deviations between model estimates and observations may include incorrect assumptions regarding a constant lethal body burden, the absence of biotransformation products, and the steady state of aromatic hydrocarbon concentrations in organisms. Clearly, a more complex model approach than the generic model used in the present study is needed to predict toxicity dynamics of narcotic chemicals. Environ Toxicol Chem 2017;36:128-136. © 2016 SETAC.
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Affiliation(s)
- Lisette De Hoop
- Institute for Water and Wetland Research, Department of Environmental Science, Radboud University, Nijmegen, The Netherlands
| | - Karel P J Viaene
- Laboratory of Environmental Toxicology and Aquatic Ecology, Environmental Toxicology Unit (GhEnToxLab), Ghent University (UGent), Ghent, Belgium
| | - Aafke M Schipper
- Institute for Water and Wetland Research, Department of Environmental Science, Radboud University, Nijmegen, The Netherlands
| | - Mark A J Huijbregts
- Institute for Water and Wetland Research, Department of Environmental Science, Radboud University, Nijmegen, The Netherlands
| | - Frederik De Laender
- Research Unit of Environmental and Evolutionary Biology, University of Namur, Namur, Belgium
| | - A Jan Hendriks
- Institute for Water and Wetland Research, Department of Environmental Science, Radboud University, Nijmegen, The Netherlands
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Nuijten RJM, Hendriks AJ, Jenssen BM, Schipper AM. Circumpolar contaminant concentrations in polar bears (Ursus maritimus) and potential population-level effects. ENVIRONMENTAL RESEARCH 2016; 151:50-57. [PMID: 27450999 DOI: 10.1016/j.envres.2016.07.021] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2016] [Revised: 07/08/2016] [Accepted: 07/15/2016] [Indexed: 06/06/2023]
Abstract
Polar bears (Ursus maritimus) currently receive much attention in the context of global climate change. However, there are other stressors that might threaten the viability of polar bear populations as well, such as exposure to anthropogenic pollutants. Lipophilic organic compounds bio-accumulate and bio-magnify in the food chain, leading to high concentrations at the level of top-predators. In Arctic wildlife, including the polar bear, various adverse health effects have been related to internal concentrations of commercially used anthropogenic chemicals like PCB and DDT. The extent to which these individual health effects are associated to population-level effects is, however, unknown. In this study we assembled data on adipose tissue concentrations of ∑PCB, ∑DDT, dieldrin and ∑PBDE in individual polar bears from peer-reviewed scientific literature. Data were available for 14 out of the 19 subpopulations. We found that internal concentrations of these contaminants exceed threshold values for adverse individual health effects in several subpopulations. In an exploratory regression analysis we identified a clear negative correlation between polar bear population density and sub-population specific contaminant concentrations in adipose tissue. The results suggest that adverse health effects of contaminants in individual polar bears may scale up to population-level consequences. Our study highlights the need to consider contaminant exposure along with other threats in polar bear population viability analyses.
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Affiliation(s)
- R J M Nuijten
- Department of Environmental Science, Institute for Water and Wetland Research (IWWR), Radboud University (RU), NL-6500 GL Nijmegen, The Netherlands; Department of Animal Ecology, Netherlands Institute of Ecology (NIOO-KNAW), 7608 PB Wageningen, The Netherlands.
| | - A J Hendriks
- Department of Environmental Science, Institute for Water and Wetland Research (IWWR), Radboud University (RU), NL-6500 GL Nijmegen, The Netherlands
| | - B M Jenssen
- Department of Biology, Norwegian University of Science and Technology, NO-7491 Trondheim, Norway; Department of Arctic Technology, The University Centre in Svalbard, Longyearbyen, Norway
| | - A M Schipper
- Department of Environmental Science, Institute for Water and Wetland Research (IWWR), Radboud University (RU), NL-6500 GL Nijmegen, The Netherlands; PBL Netherlands Environmental Assessment Agency, PO Box 303, 3720 AH Bilthoven, The Netherlands
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Korsman JC, Schipper AM, De Hoop L, Mialet B, Maris T, Tackx MLM, Hendriks AJ. Modeling the impacts of multiple environmental stress factors on estuarine copepod populations. ENVIRONMENTAL SCIENCE & TECHNOLOGY 2014; 48:5709-5717. [PMID: 24758200 DOI: 10.1021/es5004439] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/03/2023]
Abstract
Many studies have focused on natural stress factors that shape the spatial and temporal distribution of calanoid copepods, but bioassays have shown that copepods are also sensitive to a broad range of contaminants. Although both anthropogenic and natural stress factors are obviously at play in natural copepod communities, most studies consider only one or the other. In the present investigation, we modeled the combined impact of both anthropogenic and natural stress factors on copepod populations. The model was applied to estimate Eurytemora affinis densities in the contaminated Scheldt estuary and the relatively uncontaminated Darß-Zingst estuary in relation to temperature, salinity, chlorophyll a, and sediment concentrations of cadmium, copper, and zinc. The results indicated that temperature was largely responsible for seasonal fluctuations of E. affinis densities. Our model results further suggested that exposure to zinc and copper was largely responsible for the reduced population densities in the contaminated estuary. The model provides a consistent framework for integrating and quantifying the impacts of multiple anthropogenic and natural stress factors on copepod populations. It facilitates the extrapolation of laboratory experiments to ecologically relevant end points pertaining to population viability.
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Affiliation(s)
- John C Korsman
- Institute for Water and Wetland Research, Department of Environmental Science, Radboud University Nijmegen , Heyendaalseweg 135, 6525 AJ Nijmegen, The Netherlands
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Eulaers I, Jaspers VLB, Halley DJ, Lepoint G, Nygård T, Pinxten R, Covaci A, Eens M. Brominated and phosphorus flame retardants in White-tailed Eagle Haliaeetus albicilla nestlings: bioaccumulation and associations with dietary proxies (δ¹³C, δ¹⁵N and δ³⁴S). THE SCIENCE OF THE TOTAL ENVIRONMENT 2014; 478:48-57. [PMID: 24530584 DOI: 10.1016/j.scitotenv.2014.01.051] [Citation(s) in RCA: 72] [Impact Index Per Article: 7.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/28/2013] [Revised: 01/15/2014] [Accepted: 01/15/2014] [Indexed: 06/03/2023]
Abstract
Very little is known on the exposure of high trophic level species to current-use brominated (BFRs) and phosphorus flame retardants (PFRs), although observations on their persistence, bioaccumulation potential, and toxicity have been made. We investigated the accumulation of BFRs and PFRs, and their associations with dietary proxies (δ(13)C, δ(15)N and δ(34)S), in plasma and feathers of White-tailed Eagle Haliaeetus albicilla nestlings from Trøndelag, Norway. In addition to accumulation of a wide range of polybrominated diphenyl ether (PBDE) congeners in both plasma and feathers, all non-PBDE BFRs and PFRs could be measured in feathers, while in plasma only two of six PFRs, i.e. tris-(2-chloroisopropyl) phosphate (TCIPP) and tris-(2,3-dichloropropyl) phosphate (TDCPP) were detected. PFR concentrations in feathers (0.95-3,000 ng g(-1)) were much higher than selected organochlorines (OCs), such as polychlorinated biphenyl 153 (CB 153; 2.3-15 ng g(-1)) and dichlorodiphenyldichloroethylene (p,p'-DDE; 2.3-21 ng g(-1)), PBDEs (0.03-2.3 ng g(-1)) and non-PBDE BFRs (0.03-1.5 ng g(-1)). Non-significant associations of PFR concentrations in feathers with those in plasma (P ≥ 0.74), and their similarity to reported atmospheric PFR concentrations, may suggest atmospheric PFR deposition on feathers. Most OCs and PBDEs, as well as tris(chloroethyl) phosphate (TCEP), tris(phenyl) phosphate (TPHP) and tri-(2-butoxyethyl) phosphate (TBOEP) were associated to δ(15)N and/or δ(13)C (all P ≤ 0.02). Besides δ(15)N enrichment, δ(34)S was depleted in nestlings from fjords, inherently close to an urbanised centre. As such, both may have been a spatial proxy for anthropogenic disturbance, possible confounding their use as dietary proxy.
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Affiliation(s)
- Igor Eulaers
- Ethology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
| | - Veerle L B Jaspers
- Ethology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium; Department of Biology, Norwegian University of Science and Technology, 7491 Trondheim, Norway.
| | - Duncan J Halley
- Norwegian Institute for Nature Research, Postboks 5685 Sluppen, 7485 Trondheim, Norway.
| | - Gilles Lepoint
- MARE Centre, Oceanology, University of Liège, Allée de la Chimie 3, 4000 Liège, Belgium.
| | - Torgeir Nygård
- Norwegian Institute for Nature Research, Postboks 5685 Sluppen, 7485 Trondheim, Norway.
| | - Rianne Pinxten
- Ethology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
| | - Adrian Covaci
- Toxicological Centre, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
| | - Marcel Eens
- Ethology Group, University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
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Schipper AM, Hendriks HWM, Kauffman MJ, Hendriks AJ, Huijbregts MAJ. Modelling interactions of toxicants and density dependence in wildlife populations. J Appl Ecol 2013. [DOI: 10.1111/1365-2664.12142] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Aafke M. Schipper
- Department of Environmental Science; Radboud University Nijmegen; Institute for Water and Wetland Research; P.O. Box 9010 6500 GL Nijmegen The Netherlands
| | - Harrie W. M. Hendriks
- Department of Environmental Science; Radboud University Nijmegen; Institute for Water and Wetland Research; P.O. Box 9010 6500 GL Nijmegen The Netherlands
- Department of Applied Stochastics; Radboud University Nijmegen; Institute for Mathematics, Astrophysics and Particle Physics; P.O. Box 9010 6500 GL Nijmegen The Netherlands
| | - Matthew J. Kauffman
- Department of Zoology and Physiology; Wyoming Cooperative Fish and Wildlife Research Unit; University of Wyoming; Laramie WY 82071 USA
| | - A. Jan Hendriks
- Department of Environmental Science; Radboud University Nijmegen; Institute for Water and Wetland Research; P.O. Box 9010 6500 GL Nijmegen The Netherlands
| | - Mark A. J. Huijbregts
- Department of Environmental Science; Radboud University Nijmegen; Institute for Water and Wetland Research; P.O. Box 9010 6500 GL Nijmegen The Netherlands
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