Lake Chlorophyll-a Linked to Upstream Nutrients across the Conterminous United States DOI
Matthew Dietrich, Heather E. Golden, Jay R. Christensen

и другие.

Environmental Science & Technology Letters, Год журнала: 2024, Номер 11(12), С. 1406 - 1412

Опубликована: Ноя. 26, 2024

Chlorophyll-a (Chl-a) is a commonly used proxy for algal biomass within surface waters, which can be indicative of harmful blooms. Excess nutrients, such as nitrogen or phosphorus, promote Chl-a production, often leading to eutrophication. However, little research exists on river nutrients-to-downstream lake linkages at large watershed scales and across disparate climatic physiographic regions. We found significant positive relationship between measured total (TN) phosphorus (TP) concentrations in upstream rivers downstream lakes the scale (average area = 99.8 km2 [35.8–628.6 km2], n 254 watersheds) throughout conterminous United States (CONUS). Additionally, through spatial logistic regression models, we demonstrate that small number explanatory variables (2–3 per model) accurately predict (77%–86% accuracy, AUC 0.83–0.91) classifications high low riverine TN, TP, CONUS scale. The predictive included vegetation type, runoff, tile drainage, temperature, inputs. This work supports hypothesis supply nutrients enhance demonstrates power parsimonious models combined with autocorrelation nutrient CONUS.

Язык: Английский

Fire Retardants Are an Overlooked Source of Phosphorus to Western US Ecosystems DOI
Leigh C. Moorhead, Michael J. Pennino, Robert D. Sabo

и другие.

ACS ES&T Water, Год журнала: 2025, Номер unknown

Опубликована: Март 12, 2025

Язык: Английский

Процитировано

0
Machine learning-based estimation of chlorophyll-a in the Mississippi Sound using Landsat and ocean optics data DOI
Hafez Ahmad, Felix Jose, Padmanava Dash

и другие.

Environmental Earth Sciences, Год журнала: 2025, Номер 84(7)

Опубликована: Март 18, 2025

Язык: Английский

Процитировано

0
Estimating indicators of cyanobacterial harmful algal blooms in New York State DOI Creative Commons
Philip Savoy, Rebecca M. Gorney, Jennifer L. Graham

и другие.

Ecological Indicators, Год журнала: 2025, Номер 173, С. 113403 - 113403

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Long-term successional dynamics and response strategies of harmful algal blooms to environmental changes in Tolo Harbour DOI

Jianhua Kang,

Xinyu Guo, Xuancheng Liu

и другие.

Water Research, Год журнала: 2025, Номер unknown, С. 123644 - 123644

Опубликована: Апрель 1, 2025

Язык: Английский

Процитировано

0
Improved prediction of chlorophyll-a concentrations using advancing graph neural network variants DOI
Sung-Hyun Yoon, Kuk-Hyun Ahn

The Science of The Total Environment, Год журнала: 2025, Номер 979, С. 179481 - 179481

Опубликована: Апрель 24, 2025

Язык: Английский

Процитировано

0
Multivariate Regression Analysis for Identifying Key Drivers of Harmful Algal Bloom in Lake Erie DOI Creative Commons
Omer Mermer, İbrahim Demir

Applied Sciences, Год журнала: 2025, Номер 15(9), С. 4824 - 4824

Опубликована: Апрель 26, 2025

Harmful Algal Blooms (HABs), predominantly driven by cyanobacteria, pose significant risks to water quality, public health, and aquatic ecosystems. Lake Erie, particularly its western basin, has been severely impacted HABs, largely due nutrient pollution climatic changes. This study aims identify key physical, chemical, biological drivers influencing HABs using a multivariate regression analysis. Water quality data, collected from multiple monitoring stations in Erie 2013 2020, were analyzed develop predictive models for chlorophyll-a (Chl-a) total suspended solids (TSS). The correlation analysis revealed that particulate organic nitrogen, turbidity, carbon the most influential variables predicting Chl-a TSS concentrations. Two developed, achieving high accuracy with R2 values of 0.973 0.958 TSS. demonstrates robustness techniques identifying HAB drivers, providing framework applicable other systems. These findings will contribute better prediction management strategies, ultimately helping protect resources health.

Язык: Английский

Процитировано

0
Artificial Intelligence in Aquatic Biodiversity Research: A PRISMA-Based Systematic Review DOI Creative Commons
Tymoteusz Miller, Grzegorz Michoński, Irmina Durlik

и другие.

Biology, Год журнала: 2025, Номер 14(5), С. 520 - 520

Опубликована: Май 8, 2025

Freshwater ecosystems are increasingly threatened by climate change and anthropogenic activities, necessitating innovative scalable monitoring solutions. Artificial intelligence (AI) has emerged as a transformative tool in aquatic biodiversity research, enabling automated species identification, predictive habitat modeling, conservation planning. This systematic review follows the PRISMA framework to analyze AI applications freshwater studies. Using structured literature search across Scopus, Web of Science, Google Scholar, we identified 312 relevant studies published between 2010 2024. categorizes into assessment, ecological risk evaluation, strategies. A bias assessment was conducted using QUADAS-2 RoB 2 frameworks, highlighting methodological challenges, such measurement inconsistencies model validation. The citation trends demonstrate exponential growth AI-driven with leading contributions from China, United States, India. Despite growing use this field, also reveals several persistent including limited data availability, regional imbalances, concerns related generalizability transparency. Our findings underscore AI’s potential revolutionizing but emphasize need for standardized methodologies, improved integration, interdisciplinary collaboration enhance insights efforts.

Язык: Английский

Процитировано

0
Systematic Review on CyanoHABs in Central Asia and Post-Soviet Countries (2010–2024) DOI Creative Commons

Kakima Kastuganova,

Galina Nugumanova,

Natasha S. Barteneva

и другие.

Toxins, Год журнала: 2025, Номер 17(5), С. 255 - 255

Опубликована: Май 20, 2025

Cyanobacterial harmful blooms (CyanoHABs) in lakes, estuaries, and freshwater reser-voirs represent a significant risk to water authorities worldwide due their cyanotoxins economic impacts. The duration, spread, severity of CyanoHABs have markedly increased over the past decades. article addresses CyanoHABs, cyanotoxins, monitoring methodologies post-Soviet Central Asian countries. This particular region was selected for systematic review its relative lack representation global reporting, particularly Asia. main aim this analyze primary literature available from 2010–2024 examine current situation CyanoHAB detection, monitoring, management Asia Following detailed database search several data-bases (Google Scholar, Pubmed, Web Science (WOS), Scopus, Elibrary, ENU, KazNU) along with additional hand searching citation searching, 121 articles reporting 214 local cyanobacterial bloom cases were review. Aquatic reported bodies eight countries, including high concentrations microcystins that often exceeded reference values established by World Health Organization (WHO). Advancing efforts Baltic Belarus, Russian Federation differed only few reports. However, aquatic ecosystems are especially threatened rising anthropogenic pressures (i.e., use, intensive agriculture, pollution), climate change, adequate ecological surveillance. We hypothesize recent Caspian seal mass mortality events been caused combination infection (viral or bacterial) exposure algal neurotoxins resulting Pseudo-nitzschia. conclude there is an urgent need improve assessment

Язык: Английский

Процитировано

0
Modeling Wildfire Effects on Ecosystem Services in two Disparate California Watersheds and Communities DOI Creative Commons
Ibrahim Busari, Matthew R. Sloggy, Mani Rouhi Rad

и другие.

Environmental Management, Год журнала: 2025, Номер unknown

Опубликована: Май 23, 2025

Язык: Английский

Процитировано

0
One Health Landscape in Tennessee: Current Status, Challenges, and Priorities DOI Creative Commons
Walid Q. Alali,

Jane Yackley,

Katie Garman

и другие.

Tropical Medicine and Infectious Disease, Год журнала: 2025, Номер 10(6), С. 150 - 150

Опубликована: Май 27, 2025

Tennessee’s ecological diversity, spanning forests, farmland, and urban areas, provides an ideal foundation for applying the One Health approach, which integrates human, animal, environmental health. This review examines current landscape, highlighting active initiatives, ongoing challenges, future directions. Key efforts involve workforce development, disease surveillance, outbreak response, conservation, public education, led by a coalition of state agencies, universities, Tennessee Committee. These programs promote cross-sector collaboration to address issues such as zoonotic diseases, climate change, land use shifts, contaminants. Notably, climate-driven changes, including rising temperatures altered species distributions, pose increasing threats health stability. has responded with targeted monitoring partnerships. Education is also priority, growing integration into K–12 higher education build transdisciplinary workforce. However, faces barriers, limited funding workforce, undefined roles, informal inter-agency data sharing. Despite these obstacles, successful responses outbreaks like avian influenza rabies demonstrate power coordinated action. To strengthen its strategy, must expand funding, formalize improve systems, enhance biodiversity resilience positioning itself national leader in interdisciplinary collaborative solutions.

Язык: Английский

Процитировано

0