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Budnik RR, Frank KT, Collis LM, Fraker ME, Mason LA, Muir AM, Pothoven SA, Clapp DF, Collingsworth PD, Hoffman JC, Hood JM, Johnson TB, Koops MA, Rudstam LG, Ludsin SA. Feasibility of implementing an integrated long-term database to advance ecosystem-based management in the Laurentian Great Lakes basin. JOURNAL OF GREAT LAKES RESEARCH 2024; 50:1-13. [PMID: 38783923 PMCID: PMC11110652 DOI: 10.1016/j.jglr.2024.102308] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/25/2024]
Abstract
The North American Great Lakes have been experiencing dramatic change during the past half-century, highlighting the need for holistic, ecosystem-based approaches to management. To assess interest in ecosystem-based management (EBM), including the value of a comprehensive public database that could serve as a repository for the numerous physical, chemical, and biological monitoring Great Lakes datasets that exist, a two-day workshop was organized, which was attended by 40+ Great Lakes researchers, managers, and stakeholders. While we learned during the workshop that EBM is not an explicit mission of many of the participating research, monitoring, and management agencies, most have been conducting research or monitoring activities that can support EBM. These contributions have ranged from single-resource (-sector) management to considering the ecosystem holistically in a decision-making framework. Workshop participants also identified impediments to implementing EBM, including: 1) high anticipated costs; 2) a lack of EBM success stories to garner agency buy-in; and 3) difficulty in establishing common objectives among groups with different mandates (e.g., water quality vs. fisheries production). We discussed as a group solutions to overcome these impediments, including construction of a comprehensive, research-ready database, a prototype of which was presented at the workshop. We collectively felt that such a database would offer a cost-effective means to support EBM approaches by facilitating research that could help identify useful ecosystem indicators and management targets and allow for management strategy evaluations that account for risk and uncertainty when contemplating future decision-making.
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Affiliation(s)
- Richard R. Budnik
- Aquatic Ecology Laboratory, Department of Evolution,
Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43212,
USA
| | - Kenneth T. Frank
- Ocean Sciences Division, Bedford Institute of Oceanography,
Dartmouth, NS B2Y 4A2, Canada
- Department of Biology, Queen’s University, Kingston,
ON K7L 3N6, Canada
| | - Lyndsie M. Collis
- Aquatic Ecology Laboratory, Department of Evolution,
Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43212,
USA
- National Oceanic and Atmospheric Administration, Great
Lakes Environmental Research Laboratory, Ann Arbor, MI 48108, USA
| | - Michael E. Fraker
- Cooperative Institute for Great Lakes Research (CIGLR) and
Michigan Sea Grant, University of Michigan, Ann Arbor, MI 48108, USA
| | - Lacey A. Mason
- National Oceanic and Atmospheric Administration, Great
Lakes Environmental Research Laboratory, Ann Arbor, MI 48108, USA
| | - Andrew M. Muir
- Great Lakes Fishery Commission, Ann Arbor, MI 48105,
USA
| | - Steven A. Pothoven
- National Oceanic and Atmospheric Administration, Great
Lakes Environmental Research Laboratory, Lake Michigan Field Station, Muskegon, MI
49441, USA
| | - David F. Clapp
- Charlevoix Fisheries Research Station, Michigan Department
of Natural Resources, Charlevoix, Michigan,49720, USA
| | - Paris D. Collingsworth
- Department of Forestry and Natural Resources and
Illinois-Indiana Sea Grant, Purdue University, West Lafayette, USA
| | - Joel C. Hoffman
- United State Environmental Protection Agency, Office of
Research and Development, Great Lakes Toxicology and Ecology Division, Duluth,
Minnesota, 55804, USA
| | - James M. Hood
- Aquatic Ecology Laboratory, Department of Evolution,
Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43212,
USA
- Translational Data Analytics Institute, The Ohio State
University, Columbus, Ohio 43212 USA
| | - Timothy B. Johnson
- Ontario Ministry of Northern Development, Mines, Natural
Resources and Forestry, Glenora Fisheries Station, Pickton, ON, Canada, K0K
2T0
| | - Marten A. Koops
- Great Lakes Laboratory for Fisheries and Aquatic Sciences,
Fisheries and Oceans Canada, 867 Lakeshore Road, Burlington, ON L7S 1A1,
Canada
| | - Lars G. Rudstam
- Department of Natural Resources and the Environment,
Cornell University, Ithaca, New York, USA
| | - Stuart A. Ludsin
- Aquatic Ecology Laboratory, Department of Evolution,
Ecology, and Organismal Biology, The Ohio State University, Columbus, OH 43212,
USA
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Schäfer RB, Jackson M, Juvigny-Khenafou N, Osakpolor SE, Posthuma L, Schneeweiss A, Spaak J, Vinebrooke R. Chemical Mixtures and Multiple Stressors: Same but Different? ENVIRONMENTAL TOXICOLOGY AND CHEMISTRY 2023; 42:1915-1936. [PMID: 37036219 DOI: 10.1002/etc.5629] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/09/2023] [Revised: 04/01/2023] [Accepted: 04/04/2023] [Indexed: 05/19/2023]
Abstract
Ecosystems are strongly influenced by multiple anthropogenic stressors, including a wide range of chemicals and their mixtures. Studies on the effects of multiple stressors have largely focussed on nonchemical stressors, whereas studies on chemical mixtures have largely ignored other stressors. However, both research areas face similar challenges and require similar tools and methods to predict the joint effects of chemicals or nonchemical stressors, and frameworks to integrate multiple chemical and nonchemical stressors are missing. We provide an overview of the research paradigms, tools, and methods commonly used in multiple stressor and chemical mixture research and discuss potential domains of cross-fertilization and joint challenges. First, we compare the general paradigms of ecotoxicology and (applied) ecology to explain the historical divide. Subsequently, we compare methods and approaches for the identification of interactions, stressor characterization, and designing experiments. We suggest that both multiple stressor and chemical mixture research are too focused on interactions and would benefit from integration regarding null model selection. Stressor characterization is typically more costly for chemical mixtures. While for chemical mixtures comprehensive classification systems at suborganismal level have been developed, recent classification systems for multiple stressors account for environmental context. Both research areas suffer from rather simplified experimental designs that focus on only a limited number of stressors, chemicals, and treatments. We discuss concepts that can guide more realistic designs capturing spatiotemporal stressor dynamics. We suggest that process-based and data-driven models are particularly promising to tackle the challenge of prediction of effects of chemical mixtures and nonchemical stressors on (meta-)communities and (meta-)food webs. We propose a framework to integrate the assessment of effects for multiple stressors and chemical mixtures. Environ Toxicol Chem 2023;42:1915-1936. © 2023 The Authors. Environmental Toxicology and Chemistry published by Wiley Periodicals LLC on behalf of SETAC.
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Affiliation(s)
- Ralf B Schäfer
- Institute for Environmental Sciences, Rheinland-Pfälzische Technische Univerität Kaiserslautern-Landau, Landau, Germany
| | | | - Noel Juvigny-Khenafou
- Institute for Environmental Sciences, Rheinland-Pfälzische Technische Univerität Kaiserslautern-Landau, Landau, Germany
| | - Stephen E Osakpolor
- Institute for Environmental Sciences, Rheinland-Pfälzische Technische Univerität Kaiserslautern-Landau, Landau, Germany
| | - Leo Posthuma
- Centre for Sustainability, Environment and Health, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands
- Department of Environmental Science, Radboud University, Nijmegen, The Netherlands
| | - Anke Schneeweiss
- Institute for Environmental Sciences, Rheinland-Pfälzische Technische Univerität Kaiserslautern-Landau, Landau, Germany
| | - Jürg Spaak
- Institute for Environmental Sciences, Rheinland-Pfälzische Technische Univerität Kaiserslautern-Landau, Landau, Germany
| | - Rolf Vinebrooke
- Department of Biological Sciences, University of Alberta, Edmonton, Alberta, Canada
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Sinclair JS, Briland R, Fraker ME, Hood JM, Frank KT, Faust MD, Knight C, Ludsin SA. Anthropogenic change decouples a freshwater predator's density feedback. Sci Rep 2023; 13:7613. [PMID: 37165038 PMCID: PMC10172374 DOI: 10.1038/s41598-023-34408-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Accepted: 04/28/2023] [Indexed: 05/12/2023] Open
Abstract
Intraspecific interactions within predator populations can affect predator-prey dynamics and community structure, highlighting the need to better understand how these interactions respond to anthropogenic change. To this end, we used a half-century (1969-2018) of abundance and size-at-age data from Lake Erie's walleye (Sander vitreus) population to determine how anthropogenic alterations have influenced intraspecific interactions. Before the 1980s, the length-at-age of younger walleye (ages 1 and 2) negatively correlated with older (age 3 +) walleye abundance, signaling a 'density feedback' in which intraspecific competition limited growth. However, after the early 1980s this signal of intraspecific competition disappeared. This decoupling of the density feedback was related to multiple anthropogenic changes, including a larger walleye population resulting from better fisheries management, planned nutrient reductions to improve water quality and transparency, warmer water temperatures, and the proliferation of a non-native fish with novel traits (white perch, Morone americana). We argue that these changes may have reduced competitive interactions by reducing the spatial overlap between older and younger walleye and by introducing novel prey. Our findings illustrate the potential for anthropogenic change to diminish density dependent intraspecific interactions within top predator populations, which has important ramifications for predicting predator dynamics and managing natural resources.
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Affiliation(s)
- J S Sinclair
- Department of River Ecology and Conservation, Senckenberg Research Institute and Natural History Museum, Clamecystraße 12, 63571, Gelnhausen, Hesse, Germany.
- Aquatic Ecology Laboratory, The Ohio State University, 1314 Kinnear Rd, Columbus, OH, 43221, USA.
| | - R Briland
- Aquatic Ecology Laboratory, The Ohio State University, 1314 Kinnear Rd, Columbus, OH, 43221, USA
- Ohio Environmental Protection Agency, 50 W. Town St. Suite 700, Columbus, OH, 43215, USA
| | - M E Fraker
- Cooperative Institute for Great Lakes Research and Michigan Sea Grant, School for Environment and Sustainability, University of Michigan, 4840 S. State, Ann Arbor, MI, 48108, USA
| | - J M Hood
- Aquatic Ecology Laboratory, The Ohio State University, 1314 Kinnear Rd, Columbus, OH, 43221, USA
- Translational Data Analytics Institute, The Ohio State University, 1760 Neil Ave, Columbus, OH, 43210, USA
| | - K T Frank
- Ocean and Ecosystem Sciences Division, Bedford Institute of Oceanography, Dartmouth, NS, B2Y 4A2, Canada
- Department of Biology, Queen's University, Kingston, ON, K7L 3N6, Canada
| | - M D Faust
- Ohio Department of Natural Resources, Division of Wildlife, Sandusky Fisheries Research Station, 305 East Shoreline Drive, Sandusky, OH, 44870, USA
| | - C Knight
- Ohio Department of Natural Resources, Division of Wildlife, Fairport Fisheries Research Unit, 1190 High Street, Fairport Harbor, OH, 44077, USA
| | - S A Ludsin
- Aquatic Ecology Laboratory, The Ohio State University, 1314 Kinnear Rd, Columbus, OH, 43221, USA
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Arif M, Behzad HM, Tahir M, Changxiao L. Nature-based tourism influences ecosystem functioning along waterways: Implications for conservation and management. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 842:156935. [PMID: 35753461 DOI: 10.1016/j.scitotenv.2022.156935] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/21/2022] [Revised: 06/07/2022] [Accepted: 06/20/2022] [Indexed: 05/22/2023]
Abstract
Nature-based tourism has an influence on ecosystem functioning around watercourses, but this influence lacks scientific evidence. Additionally, strategic and operational management of streams necessitates trade-offs between the recreational activities and values of tourists and riparian zone hospitality services. This paper aims to assist environmentalists and planners by exploring the effects of tourism-based recreational activities on ecosystem functioning along the drawdown zone. The study uses multivariate statistical techniques to delineate the relevant global tourism issues for planners. Kruskal-Wallis tests (p < 0.01) were conducted using quantitative data from 284 transects within the Three Gorges Dam Reservoir in China. The results revealed higher ecosystem function indices than tourism indices. Indicators of tourism contributed both positively and negatively to ecological indicators, with the Pearson correlation coefficients ranging from minor to moderate (r = ̶ 0.24 to 0.38, p < 0.05). Principal component analysis revealed that the critical variables of ecosystem functioning and tourism activities explained 72.26 % of the overall variance. Nevertheless, hierarchical cluster analysis revealed that these indicators responded differently in the upstream, midstream, and downstream sections. Our findings suggest that policymakers should consider the different characteristics of riparian zones in future planning, as doing so will improve both national and global strategic and operational management.
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Affiliation(s)
- Muhammad Arif
- Key Laboratory of Eco-Environments in the Three Gorges Reservoir Region, Ministry of Education, College of Life Sciences, Southwest University, Chongqing 400715, China; Biological Science Research Center, Academy for Advanced Interdisciplinary Studies, Southwest University, Chongqing 400715, China.
| | - Hamid M Behzad
- Chongqing Key Laboratory of Karst Environment, School of Geographical Sciences, Southwest University, Chongqing 400715, China.
| | | | - Li Changxiao
- Key Laboratory of Eco-Environments in the Three Gorges Reservoir Region, Ministry of Education, College of Life Sciences, Southwest University, Chongqing 400715, China; Biological Science Research Center, Academy for Advanced Interdisciplinary Studies, Southwest University, Chongqing 400715, China.
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