4.7 Article

Quantifying national and regional cyanobacterial occurrence in US lakes using satellite remote sensing

Journal

ECOLOGICAL INDICATORS
Volume 111, Issue -, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.ecolind.2019.105976

Keywords

Remote sensing; Harmful algal blooms; Cyanobacteria; Water quality; Inland waters

Funding

  1. NASA Ocean Biology and Biogeochemistry Program/Applied Sciences Program [14-SMDUNSOL14-0001]
  2. U.S. EPA
  3. NOAA
  4. U.S. Geological Survey Toxic Substances Hydrology Program
  5. Oak Ridge Institute for Science and Technology (ORISE)

Ask authors/readers for more resources

Cyanobacterial harmful algal blooms are the most common form of harmful algal blooms in freshwater systems throughout the world. However, in situ sampling of cyanobacteria in inland lakes is limited both spatially and temporally. Satellite data has proven to be an effective tool to monitor cyanobacteria in freshwater lakes across the United States. This study uses data from the European Space Agency Envisat MEdium Resolution Imaging Spectrometer and the Sentinel-3 Ocean and Land Color Instrument to provide a national overview of the percentage of lakes experiencing a cyanobacterial bloom on a weekly basis for 2008-2011, 2017, and 2018. A total of 2321 lakes across the contiguous United States were included in the analysis. We examined four different thresholds to define when a waterbody is classified as experiencing a bloom. Across these four thresholds, we explored variability in bloom percentage with changes in seasonality and lake size. As a validation of algorithm performance, we analyzed the agreement between satellite observations and previously established ecological patterns, although data availability in the wintertime limited these comparisons on a year-round basis. Changes in cyanobacterial bloom percentage at the national scale followed the well-known temporal pattern of freshwater blooms. The percentage of lakes experiencing a bloom increased throughout the year, reached a maximum in fall, and decreased through the winter. Wintertime data, particularly in northern regions, were consistently limited due to snow and ice cover. With the exception of the Southeast and South, regional patterns mimicked patterns found at the national scale. The Southeast and South exhibited an unexpected pattern as cyanobacterial bloom percentage reached a maximum in the winter rather than the summer. Lake Jesup in Florida was used as a case study to validate this observed pattern against field observations of chlorophyll a. Results from this research establish a baseline of annual occurrence of cyanobacterial blooms in inland lakes across the United States. In addition, methods presented in this study can be tailored to fit the specific requirements of an individual system or region.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

Article Biodiversity Conservation

Satellite remote sensing to assess cyanobacterial bloom frequency across the United States at multiple spatial scales

Megan M. Coffer, Blake A. Schaeffer, Wilson B. Salls, Erin Urquhart, Keith A. Loftin, Richard P. Stumpf, P. Jeremy Werdell, John A. Darling

Summary: Satellite imagery was utilized to assess the annual frequency of surface cyanobacterial blooms in large lakes across the continental United States, revealing variations in bloom frequencies among different states and lakes. The results can help identify areas within lakes more prone to cyanobacterial blooms, as well as prioritize sampling resources and mitigation efforts.

ECOLOGICAL INDICATORS (2021)

Article Environmental Sciences

Acute health effects associated with satellite-determined cyanobacterial blooms in a drinking water source in Massachusetts

Jianyong Wu, Elizabeth D. Hilborn, Blake A. Schaeffer, Erin Urquhart, Megan M. Coffer, Cynthia J. Lin, Andrey Egorov

Summary: This study found a significant positive association between satellite-derived cyanobacteria concentrations in the source water of the Greater Boston area and respiratory illnesses occurring 2 days later. No significant associations were found between cyanobacterial concentrations and gastrointestinal or dermal illnesses. Future studies should consider direct measures of cyanotoxins and associated health effects from exposure to cyanobacteria-impacted drinking water sources.

ENVIRONMENTAL HEALTH (2021)

Review Environmental Sciences

Integrating Inland and Coastal Water Quality Data for Actionable Knowledge

Ghada Y. H. El Serafy, Blake A. Schaeffer, Merrie-Beth Neely, Anna Spinosa, Daniel Odermatt, Kathleen C. Weathers, Theo Baracchini, Damien Bouffard, Laurence Carvalho, Robyn N. Conmy, Liesbeth De Keukelaere, Peter D. Hunter, Cedric Jamet, Klaus D. Joehnk, John M. Johnston, Anders Knudby, Camille Minaudo, Nima Pahlevan, Ils Reusen, Kevin C. Rose, John Schalles, Maria Tzortziou

Summary: Water quality measures can be obtained from professional and volunteer monitoring programs as well as automated sensors, with the integration of these data resulting in a more holistic understanding of dynamic ecosystems and improved water resource management. Combining data from various sources to answer scientific questions is common, but methods for scaling and integrating data globally have only recently emerged.

REMOTE SENSING (2021)

Article Environmental Sciences

Merging of the Case 2 Regional Coast Colour and Maximum-Peak Height chlorophyll-a algorithms: validation and demonstration of satellite-derived retrievals across US lakes

Blake Schaeffer, Wilson Salls, Megan Coffer, Carole Lebreton, Mortimer Werther, Kerstin Stelzer, Erin Urquhart, Daniela Gurlin

Summary: Water quality monitoring is crucial for protecting the beneficial uses of water and making sustainable decisions. This study compares the performance of different chlorophyll-a retrieval algorithms and proposes a merged algorithm for improved water quality assessment.

ENVIRONMENTAL MONITORING AND ASSESSMENT (2022)

Article Environmental Sciences

Satellites for long-term monitoring of inland US lakes: The MERIS time series and application for chlorophyll-a

Bridget N. Seegers, P. Jeremy Werdell, Ryan A. Vandermeulen, Wilson Salls, Richard P. Stumpf, Blake A. Schaeffer, Tommy J. Owens, Sean W. Bailey, Joel P. Scott, Keith A. Loftin

Summary: This study highlights the importance of lakes and other surface fresh waterbodies for humans, aquatic life, and ecosystem health, and examines the use of satellite remote sensing data for monitoring inland water quality. The researchers developed a new chlorophyll algorithm using satellite remote sensing data, and evaluated its ability to assess lake trophic state across the CONUS.

REMOTE SENSING OF ENVIRONMENT (2021)

Article Environmental Sciences

Temporal Stability of Seagrass Extent, Leaf Area, and Carbon Storage in St. Joseph Bay, Florida: a Semi-automated Remote Sensing Analysis

Marie Cindy Lebrasse, Blake A. Schaeffer, Megan M. Coffer, Peter J. Whitman, Richard C. Zimmerman, Victoria J. Hill, Kazi A. Islam, Jiang Li, Christopher L. Osburn

Summary: This study utilized a deep learning algorithm to quantify seagrass extent, leaf area index, and belowground organic carbon in St. Joseph Bay over a 30-year period. The results showed stable seagrass and carbon levels from 1990 to 2020, but highlighted ongoing environmental and climate pressures.

ESTUARIES AND COASTS (2022)

Article Marine & Freshwater Biology

A validation of satellite derived cyanobacteria detections with state reported events and recreation advisories across US lakes

Peter Whitman, Blake Schaeffer, Wilson Salls, Megan Coffer, Sachidananda Mishra, Bridget Seegers, Keith Loftin, Richard Stumpf, P. Jeremy Werdell

Summary: This study evaluates the performance of a satellite algorithm in detecting cyanobacteria harmful algal blooms (cyanoHABs) by using state reported events and advisories. The results show that the satellite algorithm can complement traditional field observations and support management decisions.

HARMFUL ALGAE (2022)

Article Remote Sensing

Vertical artifacts in high-resolution WorldView-2 and WorldView-3 satellite imagery of aquatic systems

Megan M. Coffer, Peter J. Whitman, Blake A. Schaeffer, Victoria Hill, Richard C. Zimmerman, Wilson B. Salls, Marie C. Lebrasse, David D. Graybill

Summary: This study investigates the impact of vertical artefacts on satellite data interpretation and suggests improving image acquisition parameters to mitigate these artefacts for future tasks over aquatic targets.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2022)

Article Environmental Sciences

Satellite-derived cyanobacteria frequency and magnitude in headwaters & near-dam reservoir surface waters of the Southern US

Amber R. Ignatius, S. Thomas Purucker, Blake A. Schaeffer, Kurt Wolfe, Erin Urquhart, Deron Smith

Summary: Reservoirs are dominant features of the hydrologic landscape, but their unique morphology can lead to excessive algae growth and harmful cyanobacteria blooms. Understanding the spatial dynamics of cyanobacteria blooms is crucial for reservoir monitoring and mitigating public exposure to cyanotoxins. Advanced spatial analysis using satellite data allows for the assessment of bloom frequency and differences between headwater and near-dam surface waters.

SCIENCE OF THE TOTAL ENVIRONMENT (2022)

Article Biodiversity Conservation

Satellites quantify the spatial extent of cyanobacterial blooms across the United States at multiple scales

Blake A. Schaeffer, Erin Urquhart, Megan Coffer, Wilson Salls, Richard P. Stumpf, Keith A. Loftin, P. Jeremy Werdell

Summary: Previous studies have shown an increase in the frequency, extent, and magnitude of cyanobacterial harmful algal blooms (cyanoHABs) globally. This study used satellite data to quantify the spatial extent of cyanoHABs in over 2,000 lakes and reservoirs in the United States. The results provide important information on the current extent of cyanoHABs and rates of change.

ECOLOGICAL INDICATORS (2022)

Article Environmental Sciences

Simulated response of St. Joseph Bay, Florida, seagrass meadows and their belowground carbon to anthropogenic and climate impacts

Marie Cindy Lebrasse, Blake A. Schaeffer, Richard C. Zimmerman, Victoria J. Hill, Megan M. Coffer, Peter J. Whitman, Wilson B. Salls, David D. Graybill, Christopher L. Osburn

Summary: Seagrass meadows are globally degraded and declining due to human pressures and climate change. This study used the bio-optical model GrassLight to explore the impact of climate change and anthropogenic stressors on seagrass extent and characteristics in St. Joseph Bay, Florida. The research highlights the importance of considering multiple limiting factors in understanding the effects of environmental change on seagrass ecosystems.

MARINE ENVIRONMENTAL RESEARCH (2022)

Article Environmental Sciences

Fluorescence-estimated oil concentration (Foil) in the Deepwater Horizon subsea oil plume

Robyn N. Conmy, Alexander Hall, Devi Sundaravadivelu, Blake A. Schaeffer, Andrew R. Murray

Summary: Tracking the subsea oil plume during the Deepwater Horizon Oil Spill was conducted using both in situ fluorescence and discrete sample chemical analyses. Discrete samples provided a coarse picture of the oil plume footprint, while in situ fluorescence data improved the resolution. Through analysis of millions of continuous data points, fluorescence was found to serve as a proxy for BTEX concentration.

MARINE POLLUTION BULLETIN (2022)

Article Social Issues

Paths to research-driven decision making in the realms of environment and water

Savannah Cooley, Amber Jenkins, Blake Schaeffer, Kat J. Bormann, Adel Abdallah, Forrest Melton, Stephanie Granger, Indrani Graczyk

Summary: Collaboration between researchers and decision makers is crucial for improving natural resource management. Knowledge and technology transfer can help address challenges faced by water managers. However, barriers hinder this transfer, which can be overcome with frameworks like the Research-Integration-Utilization model.

TECHNOLOGY IN SOCIETY (2022)

Article Ecology

Property values and cyanobacterial algal blooms: Evidence from satellite monitoring of Inland Lakes

Jiarui Zhang, Daniel J. Phaneuf, Blake A. Schaeffer

Summary: This study examines the economic costs of cyanobacterial harmful algal blooms (cyanoHABs) on residential property values. The findings show that cyanoHABs have a negative impact on home values, but the extent of the impact varies across different regions.

ECOLOGICAL ECONOMICS (2022)

Article Engineering, Civil

Satellite and in situ cyanobacteria monitoring: Understanding the impact of monitoring frequency on management decisions

Natalie Reynolds, Blake A. Schaeffer, Lucie Guertault, Natalie G. Nelson

Summary: Satellite remote sensing can identify areas with frequent cyanobacterial harmful algal blooms (cyanoHABs) related to reservoir discharge, providing data support for reservoir release decision-making that cannot be captured by traditional in situ monitoring.

JOURNAL OF HYDROLOGY (2023)

Article Biodiversity Conservation

Identification of critical ecological restoration and early warning regions in the five-lakes basin of central Yunnan

Yongcui Lan, Jinliang Wang, Qianwei Liu, Fang Liu, Lanfang Liu, Jie Li, Mengjia Luo

Summary: This study focuses on the five major plateau lake basins in central Yunnan, China, and constructs an ecological security pattern using the source-resistance surface-corridor-pinch point framework. The study simulates land use/cover change in the region and identifies early warning regions where future urban expansion poses a threat to current ecological source areas and corridors.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

Active microeukaryotes hold clues of effects of global warming on benthic diversity and connectivity in the coastal sediments

Pingping Huang, Feng Zhao, Bailing Zhou, Kuidong Xu

Summary: This study investigates the distribution of benthic microeukaryotes in the China Seas and finds that they can stride over the ecological barrier of 32 degrees N. The study also highlights the significant influence of depth, temperature, and latitude on communities in the China Seas.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

Which bird traits most affect the goodness-of-fit of species distribution models?

Federico Morelli, Yanina Benedetti, Jesse Stanford, Leszek Jerzak, Piotr Tryjanowski, Paolo Perna, Riccardo Santolini

Summary: Species distribution models (SDMs) are numerical tools used for predicting species' spatial distribution. This study found that ecological characteristics, such as habitat specialization, play a role in improving the accuracy of SDMs.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

Exploring the spatiotemporal evolution dynamic and influencing factor of green ecology transition for megacities: A case study of Chengdu, China

Xiaoxuan Wu, Hang Liu, Wei Liu

Summary: Global climate change, urbanization, and economic development have increased the need for sustainable human development, urban ecological governance, and low-carbon energy transformation. This study analyzes the green ecological transition in Chengdu based on panel data from 2010 to 2020, exploring its spatiotemporal evolution and key factors. The results show an overall upward trend in Chengdu's green ecological development and positive spatial autocorrelation in certain districts.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

A multi-indicator approach to compare the sustainability of organic vs. integrated management of grape production

Castaldi Simona, Formicola Nicola, Mastrocicco Micol, Morales Rodriguez Carmen, Morelli Raffaella, Prodorutti Daniele, Vannini Andrea, Zanzotti Roberto

Summary: Sustainable agricultural practices are increasingly important for global and national environmental policies and economy. This study compared the sustainability of grape production under integrated and organic management using multiple indicators. The results showed that organic management was more beneficial for most environmental aspects of the agroecosystem compared to integrated management, without affecting grape yield.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

Comparing ground below-canopy and satellite spectral data for an improved and integrated forest phenology monitoring system

Gaia Vaglio Laurin, Alexander Cotrina-Sanchez, Luca Belelli-Marchesini, Enrico Tomelleri, Giovanna Battipaglia, Claudia Cocozza, Francesco Niccoli, Jerzy Piotr Kabala, Damiano Gianelle, Loris Vescovo, Luca Da Ros, Riccardo Valentini

Summary: Phenology monitoring is important for understanding forest functioning and climate impacts. This research compares the phenological behavior of European beech forests using Tree-Talker (TT+) and Sentinel 2 satellite data. The study finds differences in the information derived by the two sensor types, particularly in terms of season length, phenology changepoints, and leaf period variability. TT+ with its higher temporal resolution demonstrates precision in capturing the phenological changepoints, especially when satellite image availability is limited.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

Assessing the coupling coordination dynamics between land use intensity and ecosystem services in Shanxi's coalfields, China

Huanhuan Pan, Ziqiang Du, Zhitao Wu, Hong Zhang, Keming Ma

Summary: The land use and cover changes resulting from coal mining activities and ecological restoration have had a significant impact on ecosystem services in mining areas. This study investigates the relationship between ecosystem services and land use intensity in coal mining areas, emphasizing the importance of understanding this interdependence for balanced human-land system development. The research examines the evolving relationship across different reclamation stages in Shanxi, China, using a coupling coordination degree model. The findings suggest the need for timely and judicious reclamation of coalfields, considering the land's bearing capacity.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

An investigation on the impact of blue and green spatial pattern alterations on the urban thermal environment: A case study of Shanghai

Jingjuan He, Yijun Shi, Lihua Xu, Zhangwei Lu, Mao Feng

Summary: This study examines the spatial interplay between changes in the blue-green spatial distribution and modifications in land surface temperature grades in Shanghai. The findings reveal that the transformation of the blue-green spatial pattern differs between different sectors of the city, and the impact on the thermal environment varies spatially.

ECOLOGICAL INDICATORS (2024)

Article Biodiversity Conservation

Prediction of phytoplankton biomass and identification of key influencing factors using interpretable machine learning models

Yi Xu, Di Zhang, Junqiang Lin, Qidong Peng, Xiaohui Lei, Tiantian Jin, Jia Wang, Ruifang Yuan

Summary: This study analyzed the response relationship between phytoplankton growth and water environmental parameters in the Middle Route of the South-to-North Water Diversion Project in China using long-term monitoring data and machine learning models. The results revealed the differences between monitoring sites and identified the key parameters that affect phytoplankton growth.

ECOLOGICAL INDICATORS (2024)