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A conceptual model of nitrogen dynamics for the Great Barrier Reef catchments.
Adame, M F; Vilas, M P; Franklin, H; Garzon-Garcia, A; Hamilton, D; Ronan, M; Griffiths, M.
Afiliación
  • Adame MF; Australian Rivers Institute, Griffith University, Nathan 4111, QLD, Australia. Electronic address: f.adame@griffith.edu.au.
  • Vilas MP; Department of Resources, Queensland Government, Brisbane, 4000, QLD, Australia.
  • Franklin H; Australian Rivers Institute, Griffith University, Nathan 4111, QLD, Australia.
  • Garzon-Garcia A; Australian Rivers Institute, Griffith University, Nathan 4111, QLD, Australia; Department of Environment and Science, Queensland Government, Brisbane, 4000, QLD, Australia.
  • Hamilton D; Australian Rivers Institute, Griffith University, Nathan 4111, QLD, Australia.
  • Ronan M; Department of Environment and Science, Queensland Government, Brisbane, 4000, QLD, Australia.
  • Griffiths M; Department of Environment and Science, Queensland Government, Brisbane, 4000, QLD, Australia.
Mar Pollut Bull ; 173(Pt A): 112909, 2021 Dec.
Article en En | MEDLINE | ID: mdl-34592504
Nitrogen (N) from anthropogenic sources has been identified as a major pollutant of the Great Barrier Reef (GBR), Australia. We developed a conceptual framework to synthesise and visualise the fate and transport of N from the catchments to the sea from a literature review. The framework was created to fit managers and policymakers' requirements to reduce N in the GBR catchments. We used this framework to determine the N stocks and transformations (input, sources, and outputs) for ecosystems commonly found in the GBR: rainforests, palustrine wetlands, lakes, rivers (in-stream), mangroves and seagrasses. We included transformations of N such as nitrogen fixation, nitrification, denitrification, mineralisation, anammox, sedimentation, plant uptake, and food web transfers. This model can be applied to other ecosystems to understand the transport and fate of N within and between catchments. Importantly, this approach can guide management actions that attenuate N at different scales and locations within the GBR ecosystems. Finally, when combined with local hydrological modelling, this framework can be used to predict outcomes of management activities.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Nitrógeno Tipo de estudio: Prognostic_studies Idioma: En Revista: Mar Pollut Bull Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Ecosistema / Nitrógeno Tipo de estudio: Prognostic_studies Idioma: En Revista: Mar Pollut Bull Año: 2021 Tipo del documento: Article Pais de publicación: Reino Unido