Responses of benthic macroinvertebrates along gradients of urban intensity were investigated in nine metropolitan areas across the United States. Invertebrate assemblages in metropolitan areas where forests or shrublands were being converted to urban land were strongly related to urban intensity. In metropolitan areas where agriculture and grazing lands were being converted to urban land, invertebrate assemblages showed much weaker or nonsignificant relations with urban intensity because sites with low urban intensity were already degraded by agriculture. Ordination scores, the number of EPT taxa, and the mean pollution-tolerance value of organisms at a site were the best indicators of changes in assemblage condition. Diversity indices, functional groups, behavior, and dominance metrics were not good indicators of urbanization. Richness metrics were better indicators of urban effects than were abundance metrics, and qualitative samples collected from multiple habitats gave similar results to those of single habitat quantitative samples (riffles or woody snags) in all metropolitan areas. Changes in urban intensity were strongly correlated with a set of landscape variables that was consistent across all metropolitan areas. In contrast, the instream environmental variables that were strongly correlated with urbanization and invertebrate responses varied among metropolitan areas. The natural environmental setting determined the biological, chemical, and physical instream conditions upon which urbanization acts and dictated the differences in responses to urbanization among metropolitan areas. Threshold analysis showed little evidence for an initial period of resistance to urbanization. Instead, assemblages were degraded at very low levels of urbanization, and response rates were either similar across the gradient or higher at low levels of urbanization. Levels of impervious cover that have been suggested as protective of streams (5-10%) were associated with significant assemblage degradation and were not protective.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1890/08-1311.1 | DOI Listing |
PLoS One
January 2025
Nursing & Midwifery Research Department (NMRD), Hamad Medical Corporation, Doha, Qatar.
Background: Ischemic heart disease (IHD) has a significant impact on public health and healthcare expenditures in the United States (US).
Methods: We used data from the CDC WONDER database from 1999-2020 to identify trends in the IHD-related mortality of patients ≥ 75 years in the US. AAMRs per 100,000 population and APC were calculated and categorized by year, sex, race, and geographic divisions.
Eur J Emerg Med
January 2025
Université Paris Cité, ECEVE, UMR 1123 Unit, Inserm.
Background And Importance: Access to healthcare remains a persistent challenge. Socially disadvantaged populations often encounter barriers to care and may frequently seek out emergency departments (EDs), including for nonurgent medical care.
Objective: The objective of this study is to study the association between nonurgent presentations to pediatric EDs and patients' socioeconomic environment in an urban setting.
Environ Monit Assess
January 2025
Laboratory of Aquatic Toxicology, Graduate and Research Section, Department of Pharmacy, Escuela Nacional de Ciencias Biológicas, Instituto Politécnico Nacional. Unidad Profesional Adolfo López Mateos, Av. Wilfrido Massieu S/N, Delegación Gustavo A. Madero, Ciudad de México, 07738, México.
Water contamination greatly impacts human health. The Metropolitan Area of the Valley of Mexico (MAVM) is one of the most densely inhabited and polluted places globally, with a significant problem being the rising water demand. The research aims to assess the impact of metals such as iron, aluminum, lead, cadmium, and total chromium, among others, in the water of the Madin Dam, a key reservoir in the area's water supply.
View Article and Find Full Text PDFBioengineering (Basel)
December 2024
Department of Pathology, University of Yamanashi, Yamanashi 409-3898, Japan.
The latest World Health Organization (WHO) classification of central nervous system tumors (WHO2021/5th) has incorporated molecular information into the diagnosis of each brain tumor type including diffuse glioma. Therefore, an artificial intelligence (AI) framework for learning histological patterns and predicting important genetic events would be useful for future studies and applications. Using the concept of multiple-instance learning, we developed an AI framework named GLioma Image-level and Slide-level gene Predictor (GLISP) to predict nine genetic abnormalities in hematoxylin and eosin sections: , , mutations, promoter mutations, homozygous deletion (CHD), amplification (amp), 7 gain/10 loss (7+/10-), 1p/19q co-deletion, and promoter methylation.
View Article and Find Full Text PDFOpen Res Eur
January 2025
Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, California, 91125, USA.
The study of transient and variable events, including novae, active galactic nuclei, and black hole binaries, has historically been a fruitful path for elucidating the evolutionary mechanisms of our universe. The study of such events in the millimeter and submillimeter is, however, still in its infancy. Submillimeter observations probe a variety of materials, such as optically thick dust, which are hard to study in other wavelengths.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!