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Taihu lake is a typical eutrophic lake, which has experienced severe degradation in recent decades, understanding the spatio-temporal variation of ecological health can assist guide lake management in the future. Here, benthic macroinvertebrate compositions, in addition to waters and sediments, were collected from Taihu lake at 16 sampling sites and used to evaluate spatio-temporal variation in benthic macroinvertebrates. Further, a benthic index of biotic integrity (B-IBI) was developed to assess lake ecological health. Significant spatial heterogeneity in benthic community composition was observed (p < 0.01): eastern areas exhibited higher biodiversity (H' = 1.63 ± 0.59) than northern areas (H' = 1.18 ± 0.51) (p < 0.05), with the highest mollusk abundances and lowest arthropod proportions. The B-IBI assessment results indicated an overall "good" level of ecological health. Specifically, the eastern area was rated "healthy", while the northern area showed the poorest ecological health condition when compared with other areas. Temporally, healthy sites reached the lowest proportion in August, while western and southern areas showed significant long-term deterioration (p < 0.05). Variation in benthic community composition was closely associated with environmental and ecological changes, and especially mollusk abundances were positively correlated with water total nitrogen (TN). This study provides empirical evidence for zonal management strategies (e.g., prioritizing northern area restoration), highlights TN control as a key intervention for lake health, and offers transferable insights for the sustainable management of eutrophic freshwater ecosystems.
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http://dx.doi.org/10.1007/s10653-025-02719-y | DOI Listing |
Fungal Biol
October 2025
School of Life Sciences, Nanjing Normal University, Nanjing, 210023, Jiangsu Province, China. Electronic address:
Urban green areas are vital yet underexplored reservoirs of microbial diversity in cities. This study examines myxomycete communities in Zijin Mountain National Forest Park, a subtropical urban forest in Nanjing, China, across four seasons and multiple forest types. Combining field collections and moist chamber cultures, we documented 60 species from 906 occurrence records.
View Article and Find Full Text PDFPlant Physiol Biochem
September 2025
Co-Innovation Center for Sustainable Forestry in Southern China, College of Forestry and Grassland, Nanjing Forestry University, Nanjing, 210037, China. Electronic address:
Seeds of Sophora japonica in Nanjing during the recommended period typically exhibit permeable seed coats. It is imperative to comprehend the water absorption characteristics of the permeable seeds, as water uptake represents a critical step in seed germination. This study employed an integrated approach combining blocking experiments, scanning electron microscopy, staining tests, and magnetic resonance imaging to investigate water entry sites and movement patterns in permeable seeds.
View Article and Find Full Text PDFFront Plant Sci
August 2025
Cultivated Land Quality Monitoring and Protection Center, Ministry of Agriculture and Rural Affairs, Beijing, China.
How to quickly monitor the growth process of maize on a large scale is crucial for regional maize growth assessment, yield estimation, and farmland management. This article takes the Sanjiang Plain in Northeast China as the research area, which is the main grain production area in China. Using MODIS NDVI time series data and Savitzky Golay and Whittaker filtering techniques, a remote sensing extraction method for key growth stages of maize (i.
View Article and Find Full Text PDFbioRxiv
August 2025
Fogarty International Center, National Institutes of Health, Bethesda, Maryland, 20892, USA.
Background: In August 1995, necropsies on post-weaning piglets from the CA-CART farm in the province of Cartago, Costa Rica, revealed respiratory lesions, pleuritis, peritonitis, and arthritis. Skin lesions were also observed, progressing to scabs. A subsequent outbreak in 1996 prompted antibiotic administration.
View Article and Find Full Text PDFmedRxiv
August 2025
Department of Computer and Information Science, University of Pennsylvania.
Background: COVID-19 vaccine hesitancy, fueled by concerns about vaccine development, side effects, and misinformation on social media platforms like Twitter, resulted in lower vaccination rates in Sub-Saharan Africa.
Methods: We collected, preprocessed, and geolocated 6,546,893 tweets related to COVID-19 vaccination from Sub-Saharan Africa. Using a vaccine misinformation classifier trained on RoBERTa embeddings, we identified 371,965 tweets in our dataset that included misinformation.