Predictive Modeling Reveals Elevated Conductivity Relative to Background Levels in Freshwater Tributaries within the Chesapeake Bay Watershed, USA DOI Creative Commons
Rosemary M. Fanelli, Joel Moore, Charles C. Stillwell

et al.

ACS ES&T Water, Journal Year: 2024, Volume and Issue: 4(11), P. 4978 - 4989

Published: Oct. 30, 2024

Elevated conductivity (i.e., specific conductance or SC) causes osmotic stress in freshwater aquatic organisms and may increase the toxicity of some contaminants. Indices benthic macroinvertebrate integrity have declined urban areas across Chesapeake Bay watershed (CBW), more information is needed about whether these declines be due to elevated conductivity. A predictive SC model for CBW was developed using monitoring data from National Water Quality Portal. Predictor variables representing sources were compiled nontidal reaches CBW. Random forests modeling conducted predict at four time periods (1999-2001, 2004-2006, 2009-2011, 2014-2016), which then compared a national set background quantify departures SC. Carbonate geology, impervious cover, forest snow depth most important predicting Observations modeled results showed amplified effect cover on predicted two-thirds CBW, conditions persisted over many areas. These can used stressor identification assessments prioritize future determine where management activities could implemented reduce salinization.

Language: Английский

Asymmetrical evolution of cross inhibition in zooplankton: insights from contrasting phosphorus limitation and salinization exposure sequences DOI Creative Commons
Libin Zhou, Kimberley D. Lemmen, Shuaiying Zhao

et al.

Proceedings of the Royal Society B Biological Sciences, Journal Year: 2025, Volume and Issue: 292(2042)

Published: March 1, 2025

Understanding the evolutionary responses of organisms to multiple stressors is crucial for predicting ecological consequences intensified anthropogenic activities. While previous studies have documented effects selection history on organisms' abilities cope with new stressors, impact sequence in which occur outcomes remains less understood. In this study, we examined a metazoan rotifer species two prevalent freshwater stressors: nutrient limitation and increased salinization. We subjected populations distinct histories (salt-adapted, low phosphorus-adapted ancestral clones) reciprocal common garden experiment monitored their population growth rates. Our results revealed an asymmetric response phosphorus (P) salinity. Specifically, adaptation P conditions reduced tolerance salinity, whereas saline did not show such cross-inhibitory effects. Instead, addition moderate concentrations salt enhanced salt-adapted conditions, potentially as consequence evolved cross-tolerance. findings, therefore, underscore importance considering historical stressor regimes improve our understanding predictions organismal also significant implications ecosystem management.

Language: Английский

Citations

1
Natural and human drivers of salinity and major ion composition in United States lakes DOI Creative Commons
Xinyu Sun, Kendra Spence Cheruvelil, Patrick J. Hanly

et al.

EarthArXiv (California Digital Library), Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 23, 2024

Salinity and major ion composition are important for understanding predicting lake water quality responses to global changes. However, little is known about salinity ionic populations of lakes at the continental scale, nor corresponding relationships with natural human factors operating multiple spatial scales. To fill these knowledge gaps, we examined patterns in using specific conductance as a proxy (N=9,785 lakes) concentrations (N=1,218 across conterminous United States. We then quantified between wide range multi-scaled both composition. Most had relatively low (median=206μS/cm), although 4% were classified saline (>1,500μS/cm) mostly located Plains, Desert Southwest, Southeast regions. Calcium bicarbonate dominant or most common ions 61% US lakes, remaining dominated by magnesium sodium sulfate chloride ions. Lake was strongly related (e.g., elevation, soil, hydrology) influenced including agriculture atmospheric deposition. Major associated similar factors, but also affected road density, urban development, agricultural activities, This macroscale their complex characteristics around needed assess, predict, manage impairments from alterations chemistry.

Language: Английский

Citations

0
Predictive Modeling Reveals Elevated Conductivity Relative to Background Levels in Freshwater Tributaries within the Chesapeake Bay Watershed, USA DOI Creative Commons
Rosemary M. Fanelli, Joel Moore, Charles C. Stillwell

et al.

ACS ES&T Water, Journal Year: 2024, Volume and Issue: 4(11), P. 4978 - 4989

Published: Oct. 30, 2024

Elevated conductivity (i.e., specific conductance or SC) causes osmotic stress in freshwater aquatic organisms and may increase the toxicity of some contaminants. Indices benthic macroinvertebrate integrity have declined urban areas across Chesapeake Bay watershed (CBW), more information is needed about whether these declines be due to elevated conductivity. A predictive SC model for CBW was developed using monitoring data from National Water Quality Portal. Predictor variables representing sources were compiled nontidal reaches CBW. Random forests modeling conducted predict at four time periods (1999-2001, 2004-2006, 2009-2011, 2014-2016), which then compared a national set background quantify departures SC. Carbonate geology, impervious cover, forest snow depth most important predicting Observations modeled results showed amplified effect cover on predicted two-thirds CBW, conditions persisted over many areas. These can used stressor identification assessments prioritize future determine where management activities could implemented reduce salinization.

Language: Английский

Citations

0