Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Environmental change is monitored in North America through repeated measurements of weather, stream and river flow, air and water quality, and most recently, soil properties. Some skepticism remains, however, about whether repeated soil sampling can effectively distinguish between temporal and spatial variability, and efforts to document soil change in forest ecosystems through repeated measurements are largely nascent and uncoordinated. In eastern North America, repeated soil sampling has begun to provide valuable information on environmental problems such as air pollution. This review synthesizes the current state of the science to further the development and use of soil resampling as an integral method for recording and understanding environmental change in forested settings. The origins of soil resampling reach back to the 19th century in England and Russia. The concepts and methodologies involved in forest soil resampling are reviewed and evaluated through a discussion of how temporal and spatial variability can be addressed with a variety of sampling approaches. Key resampling studies demonstrate the type of results that can be obtained through differing approaches. Ongoing, large-scale issues such as recovery from acidification, long-term N deposition, C sequestration, effects of climate change, impacts from invasive species, and the increasing intensification of soil management all warrant the use of soil resampling as an essential tool for environmental monitoring and assessment. Furthermore, with better awareness of the value of soil resampling, studies can be designed with a long-term perspective so that information can be efficiently obtained well into the future to address problems that have not yet surfaced.

Download full-text PDF

Source
http://dx.doi.org/10.2134/jeq2012.0378DOI Listing

Publication Analysis

Top Keywords

soil resampling
20
environmental change
12
repeated soil
12
soil sampling
12
soil
11
change forest
8
forest ecosystems
8
ecosystems repeated
8
north america
8
america repeated
8

Similar Publications

LYnet: Computational identification of tumor T cell antigens using convolutional and recurrent neural networks.

Comput Biol Chem

August 2025

College of Information Engineering, Northwest A&F University, No.22, Xinong Road, Yangling, Shaanxi 712100, China; Shaanxi Agricultural Information Intelligent Perception and Analysis Engineering Technology Research Center, No.22, Xinong Road, Yangling, Shaanxi 712100, China. Electronic address: ly@

Background: Immunotherapy represents a paradigm shift in oncology, offering advantages in efficacy and specificity over traditional therapies. Key to its success is the identification of T-cell antigens, which are essential for triggering an effective antitumor immune response. Current methodologies for antigen prediction, however, lack the precision required for optimal vaccine development.

View Article and Find Full Text PDF

Research has widely validated three-band spectral index as a simple, valid, and highly accurate method of estimating the copper content of soil. However, selecting the best band combination from hundreds of thousands, even millions of candidate combinations in hyperspectral data, is a very complicated problem. To address this issue, this study collected a total of 170 soil samples from the Aktas copper-gold mining area in Fuyun County, Xinjiang, China.

View Article and Find Full Text PDF

Introduction: Using satellite remote sensing technology to diagnose apple tree nitrogen content is critical for guiding regional precision fertilization of apple trees. However, due to differences in spatial resolution and spectral response, there is a lack of systematic evaluation of satellite data's applicability and accuracy in apple tree nitrogen inversion.

Methods: This study used apple orchards in Qixia City, Shandong Province as the research area, collecting canopy hyperspectral data through an ASD spectrometer during three key phenological periods: the new-shoot-growing stage (NGS), the new-shoot-stop-growing stage (NSS), and the autumn shoot-growing stage (ASS).

View Article and Find Full Text PDF

Microwave thermal remediation (TPH) is a promising remediation method for petroleum hydrocarbon contaminated soils due to its high energy efficiency and rapid heating capacity. However, the complexity of influencing factors and their nonlinear interactions often hinder the quantitative understanding of TPH removal rates. In this study, a prediction dataset containing 217 instances was constructed.

View Article and Find Full Text PDF

A resampling campaign was carried out in a small agricultural area within the Chernobyl-affected region of the Central Russian Upland to monitor long-term changes in Cs contamination and sediment redistribution. Integral soil sampling was carried out on the cultivated slopes, and a depth incremental procedure was used at the bottom of the dry valley. The sampling points ware located in 2024 based on the original study conducted in 1997.

View Article and Find Full Text PDF