Global Nutrient Export from WaterSheds 2 (NEWS 2): Model development and implementation

Mayorga, Emilio; Seitzinger, Sybil P.; Harrison, John; Dumont, Egon; Beusen, Arthur; Bouwman, A. F.; Fekete, B M; Kroeze, Carolien; Drecht, G. Van

doi:10.1016/j.envsoft.2010.01.007

Cited by 495 publications

(661 citation statements)

References 56 publications

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“…The Global NEWS-DIN model was formulated as shown in Eq. (1) (Dumont et al, 2005;Mayorga et al, 2010).…”

Section: Model Structure and Parameters Determinationmentioning

confidence: 99%

“…Applications of the Global-NEWS-DIN model for estimating FE ws at global scales are based on a static export coefficient (Dumont et al, 2005;Mayorga et al, 2010), but using a fixed watershed export coefficient without considering the watershed N balance and hydrology may produce a large bias Yan et al, 2010). In this study, we calculated a fitted or adjusted FE ws , FE ws-fit , using Eq.…”

Section: Watershed Retentionmentioning

confidence: 99%

“…River retention Retention of N within the river system is affected by three major processes: loss by denitrification, retention within constructed reservoirs, and water abstraction (primarily for irrigation and other water consumption) (Dumont et al, 2005;Mayorga et al, 2010). The river export fraction (FE riv ) was calculated as the product of the three terms (Eq.…”

Section: Watershed Retentionmentioning

confidence: 99%

“…However, considering the short water residence time and shallow water depth compared to larger rivers, we set L N to 0.25 in the North River and 0. (8)) (Dumont et al, 2005;Mayorga et al, 2010).…”

Section: Watershed Retentionmentioning

confidence: 99%

“…Implementing these models requires detailed, high quality input data which is often not available for large watersheds. Global NEWS-2 (Nutrient Export from WaterSheds) is a spatially explicit watershed scale model which has been applied at the global (Dumont et al, 2005;Mayorga et al, 2010;Seitzinger et al, 2010) and regional scales (Bowes et al, 2005;Qu and Kroeze, 2010;Suwarno et al, 2013). Global NEWS-2 is an ideal tool for management purposes in data-poor regions such as China's coastal watersheds because it requires mainly social-economic input data and simple model parameters.…”

Section: Introductionmentioning

confidence: 99%

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Modeling increased riverine nitrogen export: Source tracking and integrated watershed-coast management

Yan

Chen

et al. 2015

Marine Pollution Bulletin

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The global NEWS model was calibrated and then used to quantify the long term trend of dissolved inorganic nitrogen (DIN) export from two tributaries of Jiulong River (SE China). Anthropogenic N inputs contributed 61-92% of river DIN yield which increased from 337 in 1980s to 1662 kg N km −2 yr −1 in 2000s for the North River, and from 653 to 3097 kg N km −2 yr −1 for the West River. North River and West River contributed 55% and 45% respectively of DIN loading to the estuary. Rapid development and poor management driven by national policies were responsible for increasing riverine N export. Scenario analysis and source tracking suggest that reductions of anthropogenic N inputs of at least 30% in the North River (emphasis on fertilizer and manure) and 50% in the West River (emphasis on fertilizer) could significantly improve water quality and mitigate eutrophication in both river and coastal waters.

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“…The Global NEWS-DIN model was formulated as shown in Eq. (1) (Dumont et al, 2005;Mayorga et al, 2010).…”

Section: Model Structure and Parameters Determinationmentioning

confidence: 99%

Section: Watershed Retentionmentioning

confidence: 99%

Section: Watershed Retentionmentioning

confidence: 99%

Section: Watershed Retentionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Modeling increased riverine nitrogen export: Source tracking and integrated watershed-coast management

Yan

Chen

et al. 2015

Marine Pollution Bulletin

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Factors influencing export of dissolved inorganic nitrogen by major rivers: A new, seasonal, spatially explicit, global model

McCrackin

Harrison

Compton

2014

Global Biogeochemical Cycles

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Substantial effort has focused on understanding spatial variation in dissolved inorganic nitrogen (DIN) export to the coastal zone and specific basins have been studied in depth. Much less is known, however, about seasonal patterns and controls of coastal DIN delivery across large spatial scales. Understanding seasonal patterns of DIN export is critical to efforts to predict impacts of coastal eutrophication, such as algal blooms and hypoxic areas, which are often seasonal phenomena. Here we describe, test, and apply a global model that predicts seasonal DIN export to coastal regions for >6000 rivers using the Nutrient Export from Watersheds (NEWS2) model. NEWS2-DIN-S used spatially explicit, seasonal N inputs and was calibrated with measured DIN yield (kg N km À2 season À1) for 77 rivers, distributed globally. Of the characteristics considered, DIN-transport efficiency was positively related to runoff and negatively related to temperature (r 2 = 0.34-0.60, depending on season p < 0.0001), likely due to flushing effects and increased retention by plants and soils, respectively. NEWS2-DIN-S incorporated these insights and performed well in predicting DIN yield (Nash-Sutcliffe Efficiency = 0.54-0.65, depending on season). Catchments were effective in retaining DIN and average export rates were lower during the growing season (3-5% of total nitrogen inputs) compared to other seasons (6-10%) for major latitude bands. Model output was insensitive to changes in the magnitude of N inputs, suggesting that refinement of seasonal N input budgets will not substantially improve model performance. Rather, better representation of land-to-river N transfers could improve future models because of strong landscape N attenuation.

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The biogeochemistry of carbon across a gradient of streams and rivers within the Congo Basin

Mann

Spencer

Dinga³

et al. 2014

J. Geophys. Res. Biogeosci.

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Dissolved organic carbon (DOC) and inorganic carbon (DIC, pCO 2 ), lignin biomarkers, and theoptical properties of dissolved organic matter (DOM) were measured in a gradient of streams and rivers within the Congo Basin, with the aim of examining how vegetation cover and hydrology influences the composition and concentration of fluvial carbon (C). Three sampling campaigns (February 2010, November 2010, and August 2011 spanning 56 sites are compared by subbasin watershed land cover type (savannah, tropical forest, and swamp) and hydrologic regime (high, intermediate, and low). Land cover properties predominately controlled the amount and quality of DOC, chromophoric DOM (CDOM) and lignin phenol concentrations (∑ 8 ) exported in streams and rivers throughout the Congo Basin. Higher DIC concentrations and changing DOM composition (lower molecular weight, less aromatic C) during periods of low hydrologic flow indicated shifting rapid overland supply pathways in wet conditions to deeper groundwater inputs during drier periods. Lower DOC concentrations in forest and swamp subbasins were apparent with increasing catchment area, indicating enhanced DOC loss with extended water residence time. Surface water pCO 2 in savannah and tropical forest catchments ranged between 2,600 and 11,922 μatm, with swamp regions exhibiting extremely high pCO 2 (10,598-15,802 μatm), highlighting their potential as significant pathways for water-air efflux. Our data suggest that the quantity and quality of DOM exported to streams and rivers are largely driven by terrestrial ecosystem structure and that anthropogenic land use or climate change may impact fluvial C composition and reactivity, with ramifications for regional C budgets and future climate scenarios.

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Global Nutrient Export from WaterSheds 2 (NEWS 2): Model development and implementation

Cited by 495 publications

References 56 publications

Modeling increased riverine nitrogen export: Source tracking and integrated watershed-coast management

Modeling increased riverine nitrogen export: Source tracking and integrated watershed-coast management

Factors influencing export of dissolved inorganic nitrogen by major rivers: A new, seasonal, spatially explicit, global model

The biogeochemistry of carbon across a gradient of streams and rivers within the Congo Basin

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