European water policy has identified eutrophication as a priority issue for water management. Substantial progress has been made in combating eutrophication but open issues remain, including setting reliable and meaningful nutrient criteria supporting 'good' ecological status of the Water Framework Directive. The paper introduces a novel methodological approach - a set of four different methods - that can be applied to different ecosystems and stressors to derive empirically-based management targets. The methods include Ranged Major Axis (RMA) regression, multivariate Ordinary Least Squares (OLS) regression, logistic regression, and minimising the mismatch of classifications. We apply these approaches to establish nutrient (nitrogen and phosphorus) criteria for the major productive shallow lake types of Europe: high alkalinity shallow (LCB1; mean depth 3-15 m) and very shallow (LCB2; mean depth < 3 m) lakes. Univariate relationships between nutrients and macrophyte assessments explained 29-46% of the variation. Multivariate models with both total phosphorus (TP) and total nitrogen (TN) as predictors had higher R values (0.50 for LCB1 and 0.49 for LCB2) relative to the use of TN or TP singly. We estimated nutrient concentrations at the boundary where lake vegetation changes from 'good' to 'moderate' ecological status. LCB1 lakes achieved 'good' macrophyte status at concentrations below 48-53 μg/l TP and 1.1-1.2 mg/l TN, compared to LCB2 lakes below 58-78 μg/l TP and 1.0-1.4 mg/l TN. Where strong regression relationships exist, regression approaches offer a reliable basis for deriving nutrient criteria and their uncertainty, while categorical approaches offer advantages for risk assessment and communication, or where analysis is constrained by discontinuous measures of status or short stressor gradients. We link ecological status of macrophyte communities to nutrient criteria in a user-friendly and transparent way. Such analyses underpin the practical actions and policy needed to achieve 'good' ecological status in the lakes of Europe.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6215087 | PMC |
http://dx.doi.org/10.1016/j.scitotenv.2018.09.350 | DOI Listing |
J Environ Manage
December 2024
School of Ecology and Nature Conservation, Beijing Forestry University, Beijing 100083, China. Electronic address:
The recovery of community productivity in disturbed temperate forests is affected by fluctuating nutrient environments. How plant growth achieves high biomass accumulation in a limited nutrient environment remains unclear but may be attributed to the flexibility of plant nutrient utilization. Nutrient homeostasis (H) reflects the ability of plant tissues to maintain a relatively constant N and P content under nutrient fluctuations and represents flexible or stable plant nutrient utilization.
View Article and Find Full Text PDFEnviron Monit Assess
December 2024
State Key Laboratory of Vegetation and Environmental Change, Institute of Botany, Chinese Academy of Sciences, Nanxincun 20, Xiangshan, Beijing, 100093, China.
Methane (CH) processes and fluxes have been widely investigated in low-latitude tropical wetlands and high-latitude boreal peatlands. In the mid-latitude Mongolia Plateau, however, CH processes and fluxes have been less studied, particularly in riverine wetlands. In this study, in situ experiments were conducted in the riverine sandy wetlands of the Mongolia Plateau to gain a better understanding of CH emissions and their influencing mechanisms.
View Article and Find Full Text PDFJ Dairy Sci
January 2025
Department of Animal and Veterinary Sciences, Aarhus University, AU Viborg - Research Centre Foulum, 8830 Tjele, Denmark. Electronic address:
There is a need for rigorous and scientifically-based testing standards for existing and new enteric methane mitigation technologies, including antimethanogenic feed additives (AMFA). The current review provides guidelines for conducting and analyzing data from experiments with ruminants intended to test the antimethanogenic and production effects of feed additives. Recommendations include study design and statistical analysis of the data, dietary effects, associative effect of AMFA with other mitigation strategies, appropriate methods for measuring methane emissions, production and physiological responses to AMFA, and their effects on animal health and product quality.
View Article and Find Full Text PDFEnviron Sci Technol
December 2024
U.S. Geological Survey, U.S. Environmental Protection Agency Chesapeake Bay Program, 1750 Forest Drive, Suite 130, Annapolis, Maryland 21401, United States.
Many coastal ecosystems have suffered from cultural eutrophication and dead zones. In the Chesapeake Bay, water quality degradation is manifested in low dissolved oxygen, poor water clarity, and decreased submerged aquatic vegetation acreage. This research combines long-term monitoring data, science-based assessment methods, and novel data analysis approaches (i.
View Article and Find Full Text PDFWater Res
December 2024
Faculty of Applied Science, School of Engineering, University of British Columbia Okanagan Campus, Kelowna, British Columbia V1V 1V7, Canada.
In this research, a sustainable blue-green infrastructure (BGI) was developed to efficiently remove contaminants from stormwater through a combined use of modified porous asphalt (PA) and microalgae cultivation to provide a potential drinking water (DW) source. According to the results, the modified PA with powder activated carbon (PAC) could successfully reduce the level of total suspended solids (TSS), turbidity, polycyclic aromatic hydrocarbons (PAHs), oil and grease to below the DW standards but failed to efficiently remove some heavy metals (HMs) and nutrient pollutants. The results revealed that the treated stormwater was an appropriate medium for microalgae cultivation.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!