Spectral mixture analysis for surveillance of harmful algal blooms (SMASH): A field-, laboratory-, and satellite-based approach to identifying cyanobacteria genera from remotely sensed data

Remote Sensing of Environment, Journal Year: 2022, Volume and Issue: 279, P. 113089 - 113089

Published: June 12, 2022

Algal blooms around the world are increasing in frequency and severity, often with possibility of adverse effects on human ecosystem health. The health economic impacts associated harmful algal blooms, or HABs, provide compelling rationale for developing new methods monitoring these events via remote sensing. Although concentrations chlorophyll-a key pigments like phycocyanin routinely estimated from satellite images used to infer cyanobacterial cell counts, current unable information taxonomic composition a bloom. This study introduced approach capable differentiating among genera based their reflectance characteristics: Spectral Mixture Analysis Surveillance SMASH. foundation SMASH is multiple endmember spectral mixture analysis (MESMA) algorithm that takes library cyanobacteria endmembers hyperspectral image as input estimates fractional abundance each genus, plus water, per-pixel basis. Importantly, we assume water column consists only pure cyanobacteria, implying our linear unmixing models do not account other optically active constituents such suspended sediment colored dissolved organic matter (CDOM). We spectra 12 measured under microscope populate an applied workflow four waterbodies across United States. Normalized separability scores indicated were distinct one another MESMA reproduced known fractions simulated mixtures included all pairwise combinations water. Upper Klamath Lake example illustrate data products generated SMASH: maps normalized difference chlorophyll index index, MESMA-based classification genera, fraction endmember, root mean square error (RMSE) summarizes uncertainty. For Lake, outputs highlighted complex bloom featuring several primarily Aphanizomenon, intricate spatial patterns gyres. maximum RMSE constraint imposed provided means avoiding false positive detection present waterbody but must be set so low leave much unclassified cases where present. Comparison relative biovolumes calculated field samples was consistent observations. example, successfully identified Microcystis Owasco avoided misclassifying Asterionella, genus yet library, Detroit Lake. proof-of-concept investigation demonstrates potential enhance understanding particularly respect temporal dynamics.

Language: Английский

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Comparing microscopy and DNA metabarcoding techniques for identifying cyanobacteria assemblages across hundreds of lakes

Harmful Algae, Journal Year: 2022, Volume and Issue: 113, P. 102187 - 102187

Published: Feb. 3, 2022

Accurately identifying the species present in an ecosystem is vital to lake managers and successful bioassessment programs. This particularly important when monitoring cyanobacteria, as numerous taxa produce toxins can have major negative impacts on aquatic ecosystems. Increasingly, DNA-based techniques such metabarcoding are being used for measuring biodiversity, they could accelerate processing time, decrease costs reduce some of biases associated with traditional light microscopy. Despite continuing use microscopy growing DNA identify cyanobacteria assemblages, methodological comparisons between two approaches rarely been reported from a wide suite types. Here, we compare planktonic assemblages generated by inverted 379-lake dataset spanning longitudinal trophic gradient. We found moderate levels congruence methods at broadest taxonomic (i.e., Order, RV=0.40, p < 0.0001). comparison revealed distinct communities lakes different states, Microcystis, Aphanizomenon Dolichospermum dominating both eutrophic hypereutrophic sites. finding supports either method eutrophication surface waters. The biggest difference was detection picocyanobacteria, which typically underestimated reveals that each currently complementary opposed identical promotes combined-method strategy range systems. For example, provide measures biomass, critical data managing lakes. Going forward, believe molecular genetic will be increasingly adopted reference databases routinely updated more representative sequences improve taxonomy resolved increase available information.

Language: Английский

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Hydrology and water quality evaluation for potential HABs under future climate scenarios

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 374, P. 124033 - 124033

Published: Jan. 8, 2025

Language: Английский

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Anabaenopeptins and cyanopeptolins induce systemic toxicity effects in a model organism the nematode Caenorhabditis elegans

Chemosphere, Journal Year: 2018, Volume and Issue: 214, P. 60 - 69

Published: Sept. 15, 2018

Language: Английский

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

Ecological Indicators, Journal Year: 2019, Volume and Issue: 111, P. 105976 - 105976

Published: Dec. 25, 2019

Cyanobacterial harmful algal blooms are the most common form of in freshwater systems throughout world. However,

Language: Английский

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Abruptly and irreversibly changing Arctic freshwaters urgently require standardized monitoring

Journal of Applied Ecology, Journal Year: 2020, Volume and Issue: 57(7), P. 1192 - 1198

Published: April 23, 2020

Abstract Arctic regions support a wide variety of freshwater ecosystems. These naturally oligotrophic and cold‐water streams, rivers, ponds lakes are currently being impacted by diverse range anthropogenic pressures, such as accelerated climate change, permafrost thaw, land‐use eutrophication, brownification the replacement northern biota with expansion more southern species. Multiple stressors rapidly changing systems aquatic habitats becoming suitable for species originating from southerly thereby threatening adapted to cold waters. The livelihoods Indigenous Peoples north will be altered when ecosystem services associated changes in biodiversity affected. Unfortunately, monitoring change freshwaters is inadequate, making it difficult, if not impossible, predict services. Synthesis applications . We propose three‐step approach better address facilitate rapid ecological that ecosystems experiencing result change. First, we should increase our efforts across all countries setting up network sites devoting effort broad‐scale baseline survey using standardized methods. Second, enhance modelling include both socio‐economic development. models help pinpoint species, geographical areas likely show abrupt response any changes. Third, interaction among scientists, policymakers different stakeholder groups. In particular, must involved leadership, planning execution assessment activities freshwaters. proposed approach, which critical detecting effects circumpolar region, has broader global coordination biomonitoring. Through routine monitoring, standardization methods, enhanced integrated scientific increased collaboration within sectors, effective management impacts on possible globally.

Language: Английский

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An overview on cyanobacterial blooms and toxins production: their occurrence and influencing factors

Toxin Reviews, Journal Year: 2020, Volume and Issue: 41(1), P. 326 - 346

Published: Nov. 5, 2020

Cyanobacteria are photosynthetic bacteria inhabiting water surface. They can increase to form a mass large enough, termed as cyanobacterial bloom. Cyanobacterial blooms generate an array of harmful toxins, which may disturb sources, subsequently posing frightful health threat living organisms. The occurrence and toxins globally reported, mainly trigged by eutrophic conditions climate change. aim this review was provide the current knowledge on production; their influencing factors. In addition paper suggests some measures ensure toxic minimization.

Language: Английский

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Global changes may be promoting a rise in select cyanobacteria in nutrient‐poor northern lakes

Global Change Biology, Journal Year: 2020, Volume and Issue: 26(9), P. 4966 - 4987

Published: May 23, 2020

Abstract The interacting effects of global changes—including increased temperature, altered precipitation, reduced acidification and dissolved organic matter loads to lakes—are anticipated create favourable environmental conditions for cyanobacteria in northern lakes. However, responses these changes are complex, if not contradictory. We hypothesized that absolute relative biovolumes (both total specific genera) increasing Swedish nutrient‐poor lakes increases associated with changes. tested hypotheses using data from 28 over 16 years (1998–2013). Increases biovolume were identified 21% the study sites, primarily southeastern region Sweden, composed mostly three genera: Merismopedia , Chroococcus Dolichospermum . Taxon‐specific related different stressors; is, surface water temperature favoured higher low pH high nitrogen phosphorus ratios, whereas recovery was statistically In addition, enhanced as potential determinants suppression promotion. Our findings highlight genera benefit ability predict risk prevalence requires consideration condition a lake sensitivities within lake. Regional patterns may emerge due spatial autocorrelations among history, rates direction change niche space occupied by cyanobacteria.

Language: Английский

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Sentinel responses of Arctic freshwater systems to climate: linkages, evidence, and a roadmap for future research

Arctic Science, Journal Year: 2022, Volume and Issue: 9(2), P. 356 - 392

Published: Nov. 3, 2022

While the sentinel nature of freshwater systems is now well recognized, widespread integration processes and patterns into our understanding broader climate-driven Arctic terrestrial ecosystem change has been slow. We review current across key responses to climate, which are attributes these with demonstrated sensitive climate forcing. These include ice regimes, temperature thermal structure, river baseflow, lake area water level, permafrost-derived dissolved ions nutrients, carbon mobilization (dissolved organic carbon, greenhouse gases, radiocarbon), oxygen concentrations, trophic state, various aquatic organisms their traits, invasive species. For each sentinel, objectives clarify linkages describe insights already gained, provide suggestions for future research based on knowledge gaps. suggest that tracking in will expand breadth depth changes, early indicators looming, changes landscape, improve protection biodiversity resources.

Language: Английский

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Cyanobacterial blooms in Ontario, Canada: continued increase in reports through the 21st century

Lake and Reservoir Management, Journal Year: 2023, Volume and Issue: 39(1), P. 1 - 20

Published: Jan. 2, 2023

Favot EJ, Holeton C, DeSellas AM, Paterson AM. 2023. Cyanobacterial blooms in Ontario, Canada: continued increase reports through the 21st century. Lake Reserv Manage. 39:1–20.The Ontario Ministry of Environment, Conservation and Parks samples algal composition response to public suspected blooms, which have been tracked since 1994. In a previous analysis, Winter et al. noted significant number confirmed dominated by cyanobacteria from 1994 2009. Here, we determined that this increasing trend yearly cyanobacterial bloom (CCBRs) has persisted over intervening decade, 2019. More than half CCBRs were waterbodies on Precambrian Shield, Georgian Bay (5E) ecoregion, known for cottaging water-based tourism. Data Partner Program (LPP) was used investigate total phosphorus (TP) concentrations with CCBRs. Approximately 44% CCBR (mean TP 12.99 µg/L, n = 135) had average spring less 10 compared 64% LPP no reported or 9.79 918). The most common taxon dominating inland Dolichospermum, followed Aphanizomenon Microcystis Mixedwood Plains ecozone southern Ontario. While an awareness cannot be ruled out contributing rise across high proportion occurring oligotrophic suggests there may link climate warming, rendering conditions more favorable these occur.

Language: Английский

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