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Dive into the research topics where Nicholas K. Skaff is active.

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Featured researches published by Nicholas K. Skaff.


Proceedings of the National Academy of Sciences of the United States of America | 2017

Salting our freshwater lakes

Hilary A. Dugan; Sarah L. Bartlett; Samantha M. Burke; Jonathan P. Doubek; Flora E. Krivak-Tetley; Nicholas K. Skaff; Jamie C. Summers; Kaitlin J. Farrell; Ian M. McCullough; Ana M. Morales-Williams; Derek Roberts; Zutao Ouyang; Facundo Scordo; Paul C. Hanson; Kathleen C. Weathers

Significance In lakes, chloride is a relatively benign ion at low concentrations but begins to have ecological impacts as concentrations rise into the 100s and 1,000s of mg L−1. In this study, we investigate long-term chloride trends in 371 freshwater lakes in North America. We find that in Midwest and Northeast North America, most urban lakes and rural lakes that are surrounded by >1% impervious land cover show increasing chloride trends. Expanding on this finding, thousands of lakes in these regions are at risk of long-term salinization. Keeping lakes “fresh” is critically important for protecting the ecosystem services freshwater lakes provide, such as drinking water, fisheries, recreation, irrigation, and aquatic habitat. The highest densities of lakes on Earth are in north temperate ecosystems, where increasing urbanization and associated chloride runoff can salinize freshwaters and threaten lake water quality and the many ecosystem services lakes provide. However, the extent to which lake salinity may be changing at broad spatial scales remains unknown, leading us to first identify spatial patterns and then investigate the drivers of these patterns. Significant decadal trends in lake salinization were identified using a dataset of long-term chloride concentrations from 371 North American lakes. Landscape and climate metrics calculated for each site demonstrated that impervious land cover was a strong predictor of chloride trends in Northeast and Midwest North American lakes. As little as 1% impervious land cover surrounding a lake increased the likelihood of long-term salinization. Considering that 27% of large lakes in the United States have >1% impervious land cover around their perimeters, the potential for steady and long-term salinization of these aquatic systems is high. This study predicts that many lakes will exceed the aquatic life threshold criterion for chronic chloride exposure (230 mg L−1), stipulated by the US Environmental Protection Agency (EPA), in the next 50 y if current trends continue.


GigaScience | 2017

LAGOS-NE: a multi-scaled geospatial and temporal database of lake ecological context and water quality for thousands of US lakes

Patricia A. Soranno; Linda C. Bacon; Michael Beauchene; Karen E. Bednar; Edward G. Bissell; Claire K. Boudreau; Marvin G. Boyer; Mary T. Bremigan; Stephen R. Carpenter; Jamie W. Carr; Kendra Spence Cheruvelil; Samuel T. Christel; Matt Claucherty; Sarah M. Collins; Joseph D. Conroy; John A. Downing; Jed Dukett; C. Emi Fergus; Christopher T. Filstrup; Clara Funk; María J. González; Linda Green; Corinna Gries; John D. Halfman; Stephen K. Hamilton; Paul C. Hanson; Emily Norton Henry; Elizabeth Herron; Celeste Hockings; James R. Jackson

Abstract Understanding the factors that affect water quality and the ecological services provided by freshwater ecosystems is an urgent global environmental issue. Predicting how water quality will respond to global changes not only requires water quality data, but also information about the ecological context of individual water bodies across broad spatial extents. Because lake water quality is usually sampled in limited geographic regions, often for limited time periods, assessing the environmental controls of water quality requires compilation of many data sets across broad regions and across time into an integrated database. LAGOS-NE accomplishes this goal for lakes in the northeastern-most 17 US states. LAGOS-NE contains data for 51 101 lakes and reservoirs larger than 4 ha in 17 lake-rich US states. The database includes 3 data modules for: lake location and physical characteristics for all lakes; ecological context (i.e., the land use, geologic, climatic, and hydrologic setting of lakes) for all lakes; and in situ measurements of lake water quality for a subset of the lakes from the past 3 decades for approximately 2600–12 000 lakes depending on the variable. The database contains approximately 150 000 measures of total phosphorus, 200 000 measures of chlorophyll, and 900 000 measures of Secchi depth. The water quality data were compiled from 87 lake water quality data sets from federal, state, tribal, and non-profit agencies, university researchers, and citizen scientists. This database is one of the largest and most comprehensive databases of its type because it includes both in situ measurements and ecological context data. Because ecological context can be used to study a variety of other questions about lakes, streams, and wetlands, this database can also be used as the foundation for other studies of freshwaters at broad spatial and ecological scales.


Scientific Data | 2017

Long-term chloride concentrations in North American and European freshwater lakes

Hilary A. Dugan; Jamie C. Summers; Nicholas K. Skaff; Flora E. Krivak-Tetley; Jonathan P. Doubek; Samantha M. Burke; Sarah L. Bartlett; Lauri Arvola; Hamdi Jarjanazi; János Korponai; Andreas Kleeberg; Ghislaine Monet; Dt Monteith; Karen Moore; Michela Rogora; Paul C. Hanson; Kathleen C. Weathers

Anthropogenic sources of chloride in a lake catchment, including road salt, fertilizer, and wastewater, can elevate the chloride concentration in freshwater lakes above background levels. Rising chloride concentrations can impact lake ecology and ecosystem services such as fisheries and the use of lakes as drinking water sources. To analyze the spatial extent and magnitude of increasing chloride concentrations in freshwater lakes, we amassed a database of 529 lakes in Europe and North America that had greater than or equal to ten years of chloride data. For each lake, we calculated climate statistics of mean annual total precipitation and mean monthly air temperatures from gridded global datasets. We also quantified land cover metrics, including road density and impervious surface, in buffer zones of 100 to 1,500 m surrounding the perimeter of each lake. This database represents the largest global collection of lake chloride data. We hope that long-term water quality measurements in areas outside Europe and North America can be added to the database as they become available in the future.


Parasites & Vectors | 2017

Wetland characteristics linked to broad-scale patterns in Culiseta melanura abundance and eastern equine encephalitis virus infection

Nicholas K. Skaff; Philip M. Armstrong; Theodore G. Andreadis; Kendra Spence Cheruvelil

BackgroundEastern equine encephalitis virus (EEEV) is an expanding mosquito-borne threat to humans and domestic animal populations in the northeastern United States. Outbreaks of EEEV are challenging to predict due to spatial and temporal uncertainty in the abundance and viral infection of Cs. melanura, the principal enzootic vector. EEEV activity may be closely linked to wetlands because they provide essential habitat for mosquito vectors and avian reservoir hosts. However, wetlands are not homogeneous and can vary by vegetation, connectivity, size, and inundation patterns. Wetlands may also have different effects on EEEV transmission depending on the assessed spatial scale. We investigated associations between wetland characteristics and Cs. melanura abundance and infection with EEEV at multiple spatial scales in Connecticut, USA.ResultsOur findings indicate that wetland vegetative characteristics have strong associations with Cs. melanura abundance. Deciduous and evergreen forested wetlands were associated with higher Cs. melanura abundance, likely because these wetlands provide suitable subterranean habitat for Cs. melanura development. In contrast, Cs. melanura abundance was negatively associated with emergent and scrub/shrub wetlands, and wetland connectivity to streams. These relationships were generally strongest at broad spatial scales. Additionally, the relationships between wetland characteristics and EEEV infection in Cs. melanura were generally weak. However, Cs. melanura abundance was strongly associated with EEEV infection, suggesting that wetland-associated changes in abundance may be indirectly linked to EEEV infection in Cs. melanura. Finally, we found that wet hydrological conditions during the transmission season and during the fall/winter preceding the transmission season were associated with higher Cs. melanura abundance and EEEV infection, indicating that wet conditions are favorable for EEEV transmission.ConclusionsThese results expand the broad-scale understanding of the effects of wetlands on EEEV transmission and help to reduce the spatial and temporal uncertainty associated with EEEV outbreaks.


Ecosphere | 2017

The freshwater landscape: lake, wetland, and stream abundance and connectivity at macroscales

Carol Emi Fergus; Jean Francois Lapierre; Samantha K. Oliver; Nicholas K. Skaff; Kendra Spence Cheruvelil; Katherine E. Webster; Caren E. Scott; Patricia A. Soranno


Landscape Ecology | 2016

Fine-scale wetland features mediate vector and climate-dependent macroscale patterns in human West Nile virus incidence

Nicholas K. Skaff; Kendra Spence Cheruvelil


Global Ecology and Biogeography | 2018

Similarity in spatial structure constrains ecosystem relationships: Building a macroscale understanding of lakes: Lapierre et al.

Jean-François Lapierre; Sarah M. Collins; David A. Seekell; Kendra Spence Cheruvelil; Pang Ning Tan; Nicholas K. Skaff; Zofia E. Taranu; C. Emi Fergus; Patricia A. Soranno


Ecosphere | 2018

Strategies for effective collaborative manuscript development in interdisciplinary science teams

Samantha K. Oliver; C. Emi Fergus; Nicholas K. Skaff; Tyler Wagner; Pang Ning Tan; Kendra Spence Cheruvelil; Patricia A. Soranno


Ecological Modelling | 2018

Dynamic modeling of organic carbon fates in lake ecosystems

Ian M. McCullough; Hilary A. Dugan; Kaitlin J. Farrell; Ana M. Morales-Williams; Zutao Ouyang; Derek Roberts; Facundo Scordo; Sarah L. Bartlett; Samantha M. Burke; Jonathan P. Doubek; Flora E. Krivak-Tetley; Nicholas K. Skaff; Jamie C. Summers; Kathleen C. Weathers; Paul C. Hanson


siam international conference on data mining | 2017

Hash-Based Feature Learning for Incomplete Continuous-Valued Data.

Shuai Yuan; Pang Ning Tan; Kendra Spence Cheruvelil; C. Emi Fergus; Nicholas K. Skaff; Patricia A. Soranno

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C. Emi Fergus

Michigan State University

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Hilary A. Dugan

University of Wisconsin-Madison

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Paul C. Hanson

University of Wisconsin-Madison

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Pang Ning Tan

Michigan State University

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