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  • Payne et al. N deposition metrics

    Rights statement: This is the author’s version of a work that was accepted for publication in Environmental Pollution. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Pollution, 247, 2019 DOI: 10.1016/j.envpol.2019.01.059

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What is the most ecologically-meaningful metric of nitrogen deposition?

Research output: Contribution to journalJournal article

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What is the most ecologically-meaningful metric of nitrogen deposition? / Payne, R.J.; Campbell, C.; Britton, A.J.; Mitchell, R.J.; Pakeman, R.J.; Jones, L.; Ross, L.C.; Stevens, C.J.; Field, C.; Caporn, S.J.M.; Carroll, J.; Edmondson, J.L.; Carnell, E.J.; Tomlinson, S.; Dore, A.J.; Dise, N.; Dragosits, U.

In: Environmental Pollution, Vol. 247, 01.04.2019, p. 319-331.

Research output: Contribution to journalJournal article

Harvard

Payne, RJ, Campbell, C, Britton, AJ, Mitchell, RJ, Pakeman, RJ, Jones, L, Ross, LC, Stevens, CJ, Field, C, Caporn, SJM, Carroll, J, Edmondson, JL, Carnell, EJ, Tomlinson, S, Dore, AJ, Dise, N & Dragosits, U 2019, 'What is the most ecologically-meaningful metric of nitrogen deposition?', Environmental Pollution, vol. 247, pp. 319-331. https://doi.org/10.1016/j.envpol.2019.01.059

APA

Payne, R. J., Campbell, C., Britton, A. J., Mitchell, R. J., Pakeman, R. J., Jones, L., Ross, L. C., Stevens, C. J., Field, C., Caporn, S. J. M., Carroll, J., Edmondson, J. L., Carnell, E. J., Tomlinson, S., Dore, A. J., Dise, N., & Dragosits, U. (2019). What is the most ecologically-meaningful metric of nitrogen deposition? Environmental Pollution, 247, 319-331. https://doi.org/10.1016/j.envpol.2019.01.059

Vancouver

Payne RJ, Campbell C, Britton AJ, Mitchell RJ, Pakeman RJ, Jones L et al. What is the most ecologically-meaningful metric of nitrogen deposition? Environmental Pollution. 2019 Apr 1;247:319-331. https://doi.org/10.1016/j.envpol.2019.01.059

Author

Payne, R.J. ; Campbell, C. ; Britton, A.J. ; Mitchell, R.J. ; Pakeman, R.J. ; Jones, L. ; Ross, L.C. ; Stevens, C.J. ; Field, C. ; Caporn, S.J.M. ; Carroll, J. ; Edmondson, J.L. ; Carnell, E.J. ; Tomlinson, S. ; Dore, A.J. ; Dise, N. ; Dragosits, U. / What is the most ecologically-meaningful metric of nitrogen deposition?. In: Environmental Pollution. 2019 ; Vol. 247. pp. 319-331.

Bibtex

@article{58dd6305ec734cf3bcaab31e8893acf5,
title = "What is the most ecologically-meaningful metric of nitrogen deposition?",
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. {\textcopyright} 2019 Measures of nitrogen deposition which incorporate long-term pollution history explain more spatial variance in plant communities than those which do not. {\textcopyright} 2019",
keywords = "Air pollution, Biodiversity, Community ecology, Cumulative deposition, Environmental change, Nitrogen deposition, Vegetation",
author = "R.J. Payne and C. Campbell and A.J. Britton and R.J. Mitchell and R.J. Pakeman and L. Jones and L.C. Ross and C.J. Stevens and C. Field and S.J.M. Caporn and J. Carroll and J.L. Edmondson and E.J. Carnell and S. Tomlinson and A.J. Dore and N. Dise and U. Dragosits",
note = "This is the author{\textquoteright}s version of a work that was accepted for publication in Environmental Pollution. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Pollution, 247, 2019 DOI: 10.1016/j.envpol.2019.01.059",
year = "2019",
month = apr
day = "1",
doi = "10.1016/j.envpol.2019.01.059",
language = "English",
volume = "247",
pages = "319--331",
journal = "Environmental Pollution",
issn = "0269-7491",
publisher = "Elsevier Ltd",

}

RIS

TY - JOUR

T1 - What is the most ecologically-meaningful metric of nitrogen deposition?

AU - Payne, R.J.

AU - Campbell, C.

AU - Britton, A.J.

AU - Mitchell, R.J.

AU - Pakeman, R.J.

AU - Jones, L.

AU - Ross, L.C.

AU - Stevens, C.J.

AU - Field, C.

AU - Caporn, S.J.M.

AU - Carroll, J.

AU - Edmondson, J.L.

AU - Carnell, E.J.

AU - Tomlinson, S.

AU - Dore, A.J.

AU - Dise, N.

AU - Dragosits, U.

N1 - This is the author’s version of a work that was accepted for publication in Environmental Pollution. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Environmental Pollution, 247, 2019 DOI: 10.1016/j.envpol.2019.01.059

PY - 2019/4/1

Y1 - 2019/4/1

N2 - 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. © 2019 Measures of nitrogen deposition which incorporate long-term pollution history explain more spatial variance in plant communities than those which do not. © 2019

AB - 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. © 2019 Measures of nitrogen deposition which incorporate long-term pollution history explain more spatial variance in plant communities than those which do not. © 2019

KW - Air pollution

KW - Biodiversity

KW - Community ecology

KW - Cumulative deposition

KW - Environmental change

KW - Nitrogen deposition

KW - Vegetation

U2 - 10.1016/j.envpol.2019.01.059

DO - 10.1016/j.envpol.2019.01.059

M3 - Journal article

VL - 247

SP - 319

EP - 331

JO - Environmental Pollution

JF - Environmental Pollution

SN - 0269-7491

ER -