Urban, suburban, and exurban lawns are an increasingly important ecosystem type in the United States. There is great concern about the environmental performance of lawns, especially nitrate (NO) leaching and nitrous oxide (NO) flux associated with nitrogen (N) fertilizer use. Previous studies of lawn N dynamics have produced conflicting results, with some studies showing high NO leaching and NO flux and others showing lower losses and high retention and cycling of N inputs. We hypothesized that this variation is caused by differences in lawn management and soil properties that control root and soil organic matter (SOM) dynamics that influence N cycling processes. We tested these hypotheses by making measurements of soil NO, root biomass, rates of potential net N mineralization and nitrification, NO flux, and SOM levels in samples from the front and backyards of residential homes in suburban and exurban neighborhoods with contrasting soil types in the Baltimore metropolitan area. There were no differences between front and backyards, between suburban and exurban neighborhoods, or between different soil types. Further, there were no significant relationships between root biomass, SOM, soil NO levels, and NO fluxes. These results suggest that lawns have uniformly high rates of plant productivity that underlies high levels of SOM and N retention in these ecosystems across the Baltimore metropolitan area.

Download full-text PDF

Source
http://dx.doi.org/10.2134/jeq2014.03.0103DOI Listing

Publication Analysis

Top Keywords

suburban exurban
12
root biomass
8
front backyards
8
exurban neighborhoods
8
soil types
8
baltimore metropolitan
8
metropolitan area
8
soil
7
sources variation
4
variation lawn
4

Similar Publications

Objective: To understand the contents of aflatoxins(AFs) in foods sold in Shanghai, and to assess the exposure assessment of and its potential health risk among residents over 15 years old in Shanghai.

Methods: A total of 8114 samples from 8 categories of food were collected in Shanghai from 2018 to 2023. The samples were detected by GB 5009.

View Article and Find Full Text PDF

Recent advances in quantitative tools for examining urban morphology enable the development of morphometrics that can characterize the size, shape, and placement of buildings; the relationships between them; and their association with broader patterns of development. Although these methods have the potential to provide substantial insight into the ways in which neighborhood morphology shapes the socioeconomic and demographic characteristics of neighborhoods and communities, this question is largely unexplored. Using building footprints in five of the ten largest U.

View Article and Find Full Text PDF

The socioeconomic shocks of the first COVID-19 pandemic wave disproportionately affected vulnerable groups. But did that trend continue to hold during the Delta and Omicron waves? Leveraging data from the Johns Hopkins Coronavirus Resource Center, this paper examines whether demographic inequalities persisted across the waves of COVID-19 infections. The current study utilizes fixed effects regressions to isolate the marginal relationships between socioeconomic factors with case counts and death counts.

View Article and Find Full Text PDF

A3CarScene: An audio-visual dataset for driving scene understanding.

Data Brief

June 2023

Groupe Signal Image et Instrumentation (GSII), École Supérieure d'Électronique de l'Ouest (ESEO), 10 Bd Jeanneteau, 49107 Angers, France.

Article Synopsis
  • - The article discusses a dataset created for automotive research, which includes audio and video recordings from a research vehicle driving 1500 km on various roads in the Marche Region, Italy, during October and November 2022.
  • - The sensor setup featured eight microphones and two dashcams, collecting around 31 hours of data in different weather and lighting conditions, with detailed annotations on road types, urbanization, weather, lighting levels, road conditions, and window states.
  • - This extensive dataset aids in developing and improving driving assistance technologies, supports deep learning engineers in creating benchmarks, and evaluates sensor placement for optimal performance in autonomous driving systems.
View Article and Find Full Text PDF

Introduction: Prior research has shown disparities in cognitive functioning across the rural-urban continuum. We examine individual- and contextual-level factors to understand how and why urbanicity shapes cognitive functioning across older adulthood.

Methods: Using a nationally representative sample from 1996 to 2016 waves of the Health and Retirement Study (HRS) and growth curve models, we assess urban-suburban-exurban differences in older adult cognitive functioning.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!