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McLellan EL, Suttles KM, Bouska KL, Ellis JH, Flotemersch JE, Goff M, Golden HE, Hill RA, Hohman TR, Keerthi S, Keim RF, Kleiss BA, Lark TJ, Piazza BP, Renfro AA, Robertson DM, Schilling KE, Schmidt TS, Waite IR. Improving ecosystem health in highly altered river basins: a generalized framework and its application to the Mississippi-Atchafalaya River Basin. FRONTIERS IN ENVIRONMENTAL SCIENCE 2024; 12:1-19. [PMID: 38516348 PMCID: PMC10953731 DOI: 10.3389/fenvs.2024.1332934] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/23/2024]
Abstract
Continued large-scale public investment in declining ecosystems depends on demonstrations of "success". While the public conception of "success" often focuses on restoration to a pre-disturbance condition, the scientific community is more likely to measure success in terms of improved ecosystem health. Using a combination of literature review, workshops and expert solicitation we propose a generalized framework to improve ecosystem health in highly altered river basins by reducing ecosystem stressors, enhancing ecosystem processes and increasing ecosystem resilience. We illustrate the use of this framework in the Mississippi-Atchafalaya River Basin (MARB) of the central United States (U.S.), by (i) identifying key stressors related to human activities, and (ii) creating a conceptual ecosystem model relating those stressors to effects on ecosystem structure and processes. As a result of our analysis, we identify a set of landscape-level indicators of ecosystem health, emphasizing leading indicators of stressor removal (e.g., reduced anthropogenic nutrient inputs), increased ecosystem function (e.g., increased water storage in the landscape) and increased resilience (e.g., changes in the percentage of perennial vegetative cover). We suggest that by including these indicators, along with lagging indicators such as direct measurements of water quality, stakeholders will be better able to assess the effectiveness of management actions. For example, if both leading and lagging indicators show improvement over time, then management actions are on track to attain desired ecosystem condition. If, however, leading indicators are not improving or even declining, then fundamental challenges to ecosystem health remain to be addressed and failure to address these will ultimately lead to declines in lagging indicators such as water quality. Although our model and indicators are specific to the MARB, we believe that the generalized framework and the process of model and indicator development will be valuable in an array of altered river basins.
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Affiliation(s)
| | | | - Kristen L. Bouska
- U.S. Geological Survey, Upper Midwest Environmental Sciences Center, La Crosse, WI, United States
| | - Jamelle H. Ellis
- Theodore Roosevelt Conservation Partnership, Washington, DC, United States
| | - Joseph E. Flotemersch
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
| | - Madison Goff
- School for Environment and Sustainability, University of Michigan, Ann Arbor, MI, United States
| | - Heather E. Golden
- U.S. Environmental Protection Agency, Office of Research and Development, Cincinnati, OH, United States
| | - Ryan A. Hill
- U.S. Environmental Protection Agency, Office of Research and Development, Corvallis, OR, United States
| | - Tara R. Hohman
- Audubon Upper Mississippi River, Audubon Center at Riverlands, West Alton, MO, United States
| | | | - Richard F. Keim
- School of Renewable Natural Resources, Louisiana State University, Baton Rouge, LA, United States
| | - Barbara A. Kleiss
- Department of River Coastal Science and Engineering, Tulane University, New Orleans, LA, United States
| | - Tyler J. Lark
- Center for Sustainability and the Global Environment, University of Wisconsin, Madison, WI, United States
| | | | | | - Dale M. Robertson
- U.S. Geological Survey, Upper Midwest Water Science Center, Madison, WI, United States
| | - Keith E. Schilling
- IIHR-Hydroscience and Engineering, University of Iowa, Iowa City, IA, United States
| | - Travis S. Schmidt
- U.S. Geological Survey, Wyoming-Montana Water Science Center, Helena, MT, United States
| | - Ian R. Waite
- U.S. Geological Survey, Oregon Water Science Center, Portland, OR, United States
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Rajkumar SVPB, Sivakumar R. Analysis of bio-optical active constituents for lentic ecosystem through spectral-spatial and in-vitro observation. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH INTERNATIONAL 2023; 30:99605-99619. [PMID: 37620697 DOI: 10.1007/s11356-023-29239-5] [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: 01/16/2023] [Accepted: 08/04/2023] [Indexed: 08/26/2023]
Abstract
The neural network algorithm approach was adopted in Kolavai Lake to retrieve the inherent optical properties (IOP) of active constituents. The retrieval of IOP by absorption and the scattering of optically active constituents (OAC) through employing Sentinel-2 MSI reflectance and field measured the salinity and temperature. The result illustrates the relationship between the IOP and measured OAC's concentrations and its sensitivity towards spectral wavelength. It shows that the phytoplankton absorption ap is highly related with chlorophyll-a concentration and has an R2 value of 0.808. Furthermore, at the total absorption of water has high correlation with chl-a which indicates the significant dominance in the lentic water. Also, the pigment constituents are showing an R2 value of 0.754. The total backscattering of water (btot) is strongly related to the total suspended matter with R value > 0.73. The spatial distribution of OAC in Kolavai Lake helps monitor the lake water quality. This approach is well-performed in estimating the inherent optical properties of optically active constituents that gives insight for assessing the relationship between IOP and water quality. The research has proved to be a good potential for monitoring lentic water quality through Sentinel-2 MSI.
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Affiliation(s)
- Sri Vishnu Prasanth Balachandran Rajkumar
- Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, 603203, India
| | - Ramamoorthy Sivakumar
- Department of Civil Engineering, College of Engineering and Technology, SRM Institute of Science and Technology, Kattankulathur, Chengalpattu, Tamil Nadu, 603203, India.
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Evaluation of the quality of lentic ecosystems in Romania by a GIS based WRASTIC model. Sci Rep 2021; 11:5361. [PMID: 33686107 PMCID: PMC7970884 DOI: 10.1038/s41598-021-84802-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2020] [Accepted: 02/22/2021] [Indexed: 11/08/2022] Open
Abstract
Globally, ecosystems are constantly degrading as a result of pressures derived from human activities and climate change. For working towards the restoration of the natural balance, it is necessary to evaluate the deviations induced in the ecosystems, to identify where the changes took place, to know what is their amplitude and to decide where it is possible to get involved. Many aquatic ecosystems are depreciated and their restoration is often difficult. Development of appropriate assessment methodologies will improve the decision-making process in public policies for environmental protection and conservation of biodiversity. This study presents an assessment of the degradation level of lentic ecosystems in Romania, performed through a multi-criteria analysis. An extension of the WRASTIC index (Wastewater-Recreational-Agricultural-Size-Transportations-Indutrial-Cover) was generated, namely WRASTIC-HI. The new index was obtained by including values derived from the Potential Pollutant Load index. The analysis showed that 13% of the evaluated lakes are natural, 56.5% are semi-degraded and 30.5% are degraded. The proposed methodology allows to determine the spatial distribution of the degradation sources and to calculate the corresponding indicators. The results obtained provide a useful tool for diagnostic step that can be used as a cornerstone to further identification of environmental conflicts and proposals for improvement of the ecological status of the lentic ecosystems.
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Recent Advancements in the Removal of Cyanotoxins from Water Using Conventional and Modified Adsorbents—A Contemporary Review. WATER 2020. [DOI: 10.3390/w12102756] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
The prevalence of cyanobacteria is increasing in freshwaters due to climate change, eutrophication, and their ability to adapt and thrive in changing environmental conditions. In response to various environmental pressures, they produce toxins known as cyanotoxins, which impair water quality significantly. Prolonged human exposure to cyanotoxins, such as microcystins, cylindrospermopsin, saxitoxins, and anatoxin through drinking water can cause severe health effects. Conventional water treatment processes are not effective in removing these cyanotoxins in water and advanced water treatment processes are often used instead. Among the advanced water treatment methods, adsorption is advantageous compared to other methods because of its affordability and design simplicity for cyanotoxins removal. This article provides a current review of recent developments in cyanotoxin removal using both conventional and modified adsorbents. Given the different cyanotoxins removal capacities and cost of conventional and modified adsorbents, a future outlook, as well as suggestions are provided to achieve optimal cyanotoxin removal through adsorption.
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Abstract
Cyanobacterial blooms have become a frequent phenomenon in freshwaters worldwide; they are a widely known indicator of eutrophication and water quality deterioration. Information and knowledge contributing towards the evaluation of the ecological status of freshwaters, particularly since many are used for recreation, drinking water, and aquaculture, is valuable. This Special Issue, entitled “Advancing Knowledge on Cyanobacterial Blooms in Freshwaters”, includes 11 research papers that will focus on the use of complementary approaches, from the most recently developed molecular-based methods to more classical approaches and experimental and mathematical modelling regarding the factors (abiotic and/or biotic) that control the diversity of not only the key bloom-forming cyanobacterial species, but also their interactions with other biota, either in freshwater systems or their adjacent habitats, and their role in preventing and/or promoting cyanobacterial growth and toxin production.
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