Modeling the Contribution of Crops to Nitrogen Pollution in the Yangtze River

Chen, Xuanjing; Strokal, Maryna; Kroeze, Carolien; Supit, Iwan; Wang, Mengru; Ma, Lin; Chen, Xinping; Shi, Xiaojun

doi:10.1021/acs.est.0c01333

Cited by 33 publications

(50 citation statements)

References 54 publications

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“…From 1983 onwards, only N fertilizers were used in the catchment area of Yangtze. Recently, Chen et al [120] linked the MARINA 2.0 (Model to Assess River Input of Nutrient to seAs) and the WOFOST (WOrld FOod STudy) models to estimate the contribution of crop production systems to N enrichment of the Yangtze River and revealed that about 6,000 Gg of dissolved inorganic N originating from Yangtze basin entered the river in 2012. Half of this amount originated from the production of rice, wheat and vegetables to which N is supplied largely through mineral fertilizers.…”

Section: The Yangtze River Basin In Central Chinamentioning

confidence: 99%

Fertilizers and nitrate pollution of surface and ground water: an increasingly pervasive global problem

2021

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Nitrate pollution of ground and surface water bodies all over the world is generally linked with continually increasing global fertilizer nitrogen (N) use. But after 1990, with more fertilizer N consumption in developing countries especially in East and South Asia than in the industrialized nations in North America and Europe, nitrate pollution of freshwaters is now increasingly becoming a pervasive global problem. In this review it has been attempted to review the research information generated during the last two decades from all over the world on different aspects of nitrate pollution of natural water bodies. It is now evident that not more than 50% of the fertilizer N is directly used by the crops to which it is applied. While a small portion may directly leach down and may reach ground and surface water bodies, a large proportion ends up in the soil organic N pool from where N is mineralized and is taken up by plants and/or lost via leaching during several decades. Present trends of nitrate pollution of freshwaters, therefore, reflect legacies of current and past applications of fertilizers and manures. Tools such as simulation models and the natural variation in the stable isotopes of N and oxygen are now being extensively used to study the contribution of fertilizers and other sources to nitrate enrichment of freshwaters. Impacts of agricultural stewardship measures are being assessed and nitrate enrichment of water bodies is being managed using modern digital models and frameworks. Improved water and fertilizer management in agroecosystems can reduce the contribution of fertilizers to nitrate pollution of water bodies but a host of factors determine the magnitude. Future research needs are also considered.

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Section: The Yangtze River Basin In Central Chinamentioning

confidence: 99%

Fertilizers and nitrate pollution of surface and ground water: an increasingly pervasive global problem

2021

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“…The WOFOST model (de Wit et al 2020) was used to simulate maize production, being a well-known model that has been used in Zambia (Wolf et al 1987) as well as in regional and global studies (e.g., (Chen et al 2020;Droppers et al 2021;Wolf et al 2015)) including the derivation of the Global Yield Gap Atlas. Crop growth and production were simulated on a daily timestep as determined by crop type, soil type, hydrologic conditions, and weather (Van Diepen et al, 1989).…”

Section: Wofost Modelmentioning

confidence: 99%

Climate change impacts on rainfed maize yields in Zambia under conventional and optimized crop management

et al. 2021

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Maize production in Zambia is characterized by significant yield gaps attributed to nutrient management and climate change threatens to widen these gaps unless agronomic management is optimized. Insights in the impacts of climate change on maize yields and the potential to mitigate negative impacts by crop management are currently lacking for Zambia. Using five Global Circulation models and the WOFOST crop model, we assessed climate change impacts on maize yields at a 0.5° × 0.5° spatial resolution for RCP 4.5 and RCP 8.5 scenarios. Impacts were assessed for the near future (2035-2066) and far future (2065-2096) in comparison with a reference period (1971-2001). The surface temperature and warm days (above 30 °C) are projected to increase strongly in the southern and western regions. Precipitation is expected to decline, except in the northern regions, whereas the number of wet days declines everywhere, shortening the growing season. The risk of crop failure in western and southern regions increases due to dry spells and heat stress, while crops in the northern regions will be threatened by flooding or waterlogging due to heavy precipitation. The simulated decline in the water-limited and water- and nutrient-limited maize yields varied from 15 to 20% in the near future and from 20 to 40% in the far future, mainly due to the expected temperature increases. Optimizing management by adjusting planting dates and maize variety selection can counteract these impacts by 6-29%. The existing gaps between water-limited and nutrient-limited maize yields are substantially larger than the expected yield decline due to climate change. Improved nutrient management is therefore crucial to boost maize production in Zambia.

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“…Basin-scale nutrient export models are useful tools to understand the causes of nutrient exports from land to water systems, and to explore effective solutions (Chen et al, 2019a;Chen et al, 2020;Chen et al, 2019b;Kroeze et al, 2012;Li et al, 2019a;Li et al, 2017;Li et al, 2019b;Strokal et al, 2015;Strokal et al, 2016a;Strokal et al, 2016b;Wang et al, 2020a;Wang et al, 2019). Since the 1970s, basin-scale nutrient export models have been used to study water pollution and understand causes and effects at different scales.…”

Section: Modelling Nutrient Exports From Land To Lakes and Potential Impactsmentioning

confidence: 99%

“…However, the MARINA-Lakes model accounts for the most important processes associated with runoff, denitrification, river damming and water consumption. MARINA-Lakes is based on the existing modeling approaches that have been widely accepted and applied in China and other regions (Chen et al, 2019a;Chen et al, 2020;Chen et al, 2019b;Goshu et al, 2020;McCrackin et al, 2014;Strokal et al, 2016a;Wang et al, 2020a;Wang et al, 2019). The structure of the MARINA-Lakes model is transparent, facilitating implementation for future projections to assess the impact of management options on river export of nutrients to lakes.…”

Section: Limitationsmentioning

confidence: 99%

“…However, such studies do not exist for Baiyangdian and do not account for effects of Xiong'an and associated livestock developments. Other studies have analyzed effects of nutrient management in agriculture and urbanization on reducing nutrient pollution in rivers, lakes and coastal waters (Chen et al, 2020;Li et al, 2019a;Strokal et al, 2017;Wang et al, 2020a). Yang et al, (2019) analyzed river export of N and P to Baiyangdian, without explicitly considering the effects of livestock-related policies.…”

Section: Introductionmentioning

confidence: 99%

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Nutrient pollution in two lakes of the Haihe Basin in China: causes, effects and future trends

Jian¹

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Modeling the Contribution of Crops to Nitrogen Pollution in the Yangtze River

Cited by 33 publications

References 54 publications

Fertilizers and nitrate pollution of surface and ground water: an increasingly pervasive global problem

Fertilizers and nitrate pollution of surface and ground water: an increasingly pervasive global problem

Climate change impacts on rainfed maize yields in Zambia under conventional and optimized crop management

Nutrient pollution in two lakes of the Haihe Basin in China: causes, effects and future trends

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