James Johnson

TL;DR: In this article, the authors compared linear regression and Mann-Kendall trend analysis techniques often used to detect temporal trends in atmospheric deposition and found that the choice of method influenced the number of significant trends, and the slope of a trend needed to exceed a certain minimum in order to be detected despite the short-term variability of deposition.

TL;DR: Observational studies report on trends in a number of indicators: soil acidification and eutrophication, understory vegetation, tree nutrition as well as tree vitality and growth in response to decreasing N deposition across Europe, finding a more distinct reaction of soil solution and foliar element concentrations to changes in N supply.

TL;DR: In this article, the authors used 320 plots from the pan-European forest monitoring network of the “International Co-operative Programme on Assessment and Monitoring of Air Pollution Effects on Forests” to quantify litterfallfluxes.

TL;DR: The findings suggested ubiquitous traffic noise exposure across Toronto and that noise variability was explained mostly by spatial characteristics, rather than temporal: spatial variability accounted for 60% of the total observed variations in traffic noise.

TL;DR: A long-time lag between emission abatement and changes in soil solution acidity is suggested and the importance of long-term monitoring in evaluating ecosystem response to decreases in deposition is underline.