Global database of diffuse riverine nitrogen and phosphorus loads and yields

Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphoru...
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Autor*in:	Rich W. McDowell [verfasserIn] Alasdair Noble [verfasserIn] Peter Pletnyakov [verfasserIn] Luke M. Mosley [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2021

Schlagwörter:	dissolved reactive phosphorus eutrophication modelling nitrate

Übergeordnetes Werk:	In: Geoscience Data Journal - Wiley, 2016, 8(2021), 2, Seite 132-143
Übergeordnetes Werk:	volume:8 ; year:2021 ; number:2 ; pages:132-143

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1002/gdj3.111

Katalog-ID:	DOAJ075671190

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allfields	10.1002/gdj3.111 doi (DE-627)DOAJ075671190 (DE-599)DOAJ7551e5f78aef419485b2841b606a54f5 DE-627 ger DE-627 rakwb eng QC851-999 QE1-996.5 Rich W. McDowell verfasserin aut Global database of diffuse riverine nitrogen and phosphorus loads and yields 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697. dissolved reactive phosphorus eutrophication modelling nitrate Meteorology. Climatology Geology Alasdair Noble verfasserin aut Peter Pletnyakov verfasserin aut Luke M. Mosley verfasserin aut In Geoscience Data Journal Wiley, 2016 8(2021), 2, Seite 132-143 (DE-627)774810734 (DE-600)2745699-7 20496060 nnns volume:8 year:2021 number:2 pages:132-143 https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/article/7551e5f78aef419485b2841b606a54f5 kostenfrei https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/toc/2049-6060 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 2 132-143
spelling	10.1002/gdj3.111 doi (DE-627)DOAJ075671190 (DE-599)DOAJ7551e5f78aef419485b2841b606a54f5 DE-627 ger DE-627 rakwb eng QC851-999 QE1-996.5 Rich W. McDowell verfasserin aut Global database of diffuse riverine nitrogen and phosphorus loads and yields 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697. dissolved reactive phosphorus eutrophication modelling nitrate Meteorology. Climatology Geology Alasdair Noble verfasserin aut Peter Pletnyakov verfasserin aut Luke M. Mosley verfasserin aut In Geoscience Data Journal Wiley, 2016 8(2021), 2, Seite 132-143 (DE-627)774810734 (DE-600)2745699-7 20496060 nnns volume:8 year:2021 number:2 pages:132-143 https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/article/7551e5f78aef419485b2841b606a54f5 kostenfrei https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/toc/2049-6060 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 2 132-143
allfields_unstemmed	10.1002/gdj3.111 doi (DE-627)DOAJ075671190 (DE-599)DOAJ7551e5f78aef419485b2841b606a54f5 DE-627 ger DE-627 rakwb eng QC851-999 QE1-996.5 Rich W. McDowell verfasserin aut Global database of diffuse riverine nitrogen and phosphorus loads and yields 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697. dissolved reactive phosphorus eutrophication modelling nitrate Meteorology. Climatology Geology Alasdair Noble verfasserin aut Peter Pletnyakov verfasserin aut Luke M. Mosley verfasserin aut In Geoscience Data Journal Wiley, 2016 8(2021), 2, Seite 132-143 (DE-627)774810734 (DE-600)2745699-7 20496060 nnns volume:8 year:2021 number:2 pages:132-143 https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/article/7551e5f78aef419485b2841b606a54f5 kostenfrei https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/toc/2049-6060 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 2 132-143
allfieldsGer	10.1002/gdj3.111 doi (DE-627)DOAJ075671190 (DE-599)DOAJ7551e5f78aef419485b2841b606a54f5 DE-627 ger DE-627 rakwb eng QC851-999 QE1-996.5 Rich W. McDowell verfasserin aut Global database of diffuse riverine nitrogen and phosphorus loads and yields 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697. dissolved reactive phosphorus eutrophication modelling nitrate Meteorology. Climatology Geology Alasdair Noble verfasserin aut Peter Pletnyakov verfasserin aut Luke M. Mosley verfasserin aut In Geoscience Data Journal Wiley, 2016 8(2021), 2, Seite 132-143 (DE-627)774810734 (DE-600)2745699-7 20496060 nnns volume:8 year:2021 number:2 pages:132-143 https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/article/7551e5f78aef419485b2841b606a54f5 kostenfrei https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/toc/2049-6060 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 2 132-143
allfieldsSound	10.1002/gdj3.111 doi (DE-627)DOAJ075671190 (DE-599)DOAJ7551e5f78aef419485b2841b606a54f5 DE-627 ger DE-627 rakwb eng QC851-999 QE1-996.5 Rich W. McDowell verfasserin aut Global database of diffuse riverine nitrogen and phosphorus loads and yields 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697. dissolved reactive phosphorus eutrophication modelling nitrate Meteorology. Climatology Geology Alasdair Noble verfasserin aut Peter Pletnyakov verfasserin aut Luke M. Mosley verfasserin aut In Geoscience Data Journal Wiley, 2016 8(2021), 2, Seite 132-143 (DE-627)774810734 (DE-600)2745699-7 20496060 nnns volume:8 year:2021 number:2 pages:132-143 https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/article/7551e5f78aef419485b2841b606a54f5 kostenfrei https://doi.org/10.1002/gdj3.111 kostenfrei https://doaj.org/toc/2049-6060 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2106 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 8 2021 2 132-143
language	English
source	In Geoscience Data Journal 8(2021), 2, Seite 132-143 volume:8 year:2021 number:2 pages:132-143
sourceStr	In Geoscience Data Journal 8(2021), 2, Seite 132-143 volume:8 year:2021 number:2 pages:132-143
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	dissolved reactive phosphorus eutrophication modelling nitrate Meteorology. Climatology Geology
isfreeaccess_bool	true
container_title	Geoscience Data Journal
authorswithroles_txt_mv	Rich W. McDowell @@aut@@ Alasdair Noble @@aut@@ Peter Pletnyakov @@aut@@ Luke M. Mosley @@aut@@
publishDateDaySort_date	2021-01-01T00:00:00Z
hierarchy_top_id	774810734
id	DOAJ075671190
language_de	englisch
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callnumber-first	Q - Science
author	Rich W. McDowell
spellingShingle	Rich W. McDowell misc QC851-999 misc QE1-996.5 misc dissolved reactive phosphorus misc eutrophication misc modelling misc nitrate misc Meteorology. Climatology misc Geology Global database of diffuse riverine nitrogen and phosphorus loads and yields
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topic_title	QC851-999 QE1-996.5 Global database of diffuse riverine nitrogen and phosphorus loads and yields dissolved reactive phosphorus eutrophication modelling nitrate
topic	misc QC851-999 misc QE1-996.5 misc dissolved reactive phosphorus misc eutrophication misc modelling misc nitrate misc Meteorology. Climatology misc Geology
topic_unstemmed	misc QC851-999 misc QE1-996.5 misc dissolved reactive phosphorus misc eutrophication misc modelling misc nitrate misc Meteorology. Climatology misc Geology
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title	Global database of diffuse riverine nitrogen and phosphorus loads and yields
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title_full	Global database of diffuse riverine nitrogen and phosphorus loads and yields
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author_browse	Rich W. McDowell Alasdair Noble Peter Pletnyakov Luke M. Mosley
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title_sort	global database of diffuse riverine nitrogen and phosphorus loads and yields
callnumber	QC851-999
title_auth	Global database of diffuse riverine nitrogen and phosphorus loads and yields
abstract	Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697.
abstractGer	Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697.
abstract_unstemmed	Abstract Human activities have increased the input of nitrogen and phosphorus into riverine systems. These inputs can increase algal growth that degrades aquatic ecosystems. We constructed a global database of diffuse loads (kg) and yields (kg ha−1 yr−1) of dissolved and total nitrogen and phosphorus forms for 7 years (centred around 2008) in 1,421 catchments. Yields were calculated from 640,950 measurements that were checked, filtered and harmonized from readily available sources. We used the yield data to create a georeferenced model to calculate yields of nitrogen and phosphorus forms across 6,020 catchments, globally. The database can be used to assess and inform policy to reduce nitrogen and phosphorus losses from land to freshwater, improve nutrient use efficiency on farms, and help calibrate global models being used to explore scenarios such as nutrient management efficiency in a changing climate. The source data and R code are provided at https://doi.org/10.25400/lincolnuninz.11894697.
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title_short	Global database of diffuse riverine nitrogen and phosphorus loads and yields
url	https://doi.org/10.1002/gdj3.111 https://doaj.org/article/7551e5f78aef419485b2841b606a54f5 https://doaj.org/toc/2049-6060
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Global database of diffuse riverine nitrogen and phosphorus loads and yields

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