What is the most ecologically-meaningful metric of nitrogen deposition?. (April 2019)

• Record Type: Journal Article
• Authors: Payne, Richard J.; Campbell, Claire; Britton, Andrea J.; Mitchell, Ruth J.; Pakeman, Robin J.; Jones, Laurence; Ross, Louise C.; Stevens, Carly J.; Field, Christopher; Caporn, Simon J.M.; Carroll, Jacky; Edmondson, Jill L.; Carnell, Edward J.; Tomlinson, Sam; Dore, Anthony J.; Dise, Nancy; Dragosits, Ulrike
• Is Part Of: Environmental pollution. Volume 247(2019)
• Page Start: 319
• Page End: 331
• Publication Date: 2019-04
• Subjects: Air pollution -- Biodiversity -- Cumulative deposition -- Vegetation -- Community ecology -- Environmental change -- Nitrogen deposition; Pollution -- Periodicals; Pollution -- Environmental aspects -- Periodicals; Environmental Pollution -- Periodicals; Pollution -- Périodiques; Pollution -- Aspect de l'environnement -- Périodiques; Pollution -- Effets physiologiques -- Périodiques; Pollution; Pollution -- Environmental aspects; Periodicals; Electronic journals; 363.73
• DOI: 10.1016/j.envpol.2019.01.059
• Languages: English
• ISSNs: 0269-7491

Abstract

Abstract: Nitrogen (N) deposition poses a severe risk to global terrestrial ecosystems, and managing this threat is an important focus for air pollution science and policy. To understand and manage the impacts of N deposition, we need metrics which accurately reflect N deposition pressure on the environment, and are responsive to changes in both N deposition and its impacts over time. In the UK, the metric typically used is a measure of total N deposition over 1–3 years, despite evidence that N accumulates in many ecosystems and impacts from low-level exposure can take considerable time to develop. Improvements in N deposition modelling now allow the development of metrics which incorporate the long-term history of pollution, as well as current exposure. Here we test the potential of alternative N deposition metrics to explain vegetation compositional variability in British semi-natural habitats. We assembled 36 individual datasets representing 48, 332 occurrence records in 5479 quadrats from 1683 sites, and used redundancy analyses to test the explanatory power of 33 alternative N metrics based on national pollutant deposition models. We find convincing evidence for N deposition impacts across datasets and habitats, even when accounting for other large-scale drivers of vegetation change. Metrics that incorporate long-term N deposition trajectories consistently explain greater compositional variance than 1–3 year N deposition. There is considerable variability in results across habitats and between similar metrics, but overall we propose that a thirty-year moving window of cumulative deposition is optimal to represent impacts on plant communities for application in science, policy and management. Graphical abstract: Image 1 Highlights: We present a large study of N deposition impacts on British vegetation. N deposition consistently explains spatial variability in vegetation composition. Metrics based on long-term pollution histories are superior to current deposition. We propose thirty-year cumulative deposition as an optimum metric. Abstract : Measures of nitrogen deposition which incorporate long-term pollution history explain more spatial variance in plant communities than those which do not.