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A urine patch framework to simulate nitrogen leaching on New Zealand dairy farms
On New Zealand dairy farms, it is the nitrogen excreted directly onto pasture, particularly urine, that drives nitrogen (N) leaching from the farm. A new framework (UPF: Urine Patch Framework) is presented that post-processes the results of a whole farm model and runs a mechanistic soil model to sim...
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Published in: | Nutrient cycling in agroecosystems 2012-04, Vol.92 (3), p.329-346 |
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creator | Romera, Alvaro J. Levy, Gil Beukes, Pierre C. Clark, Dave A. Glassey, Chris B. |
description | On New Zealand dairy farms, it is the nitrogen excreted directly onto pasture, particularly urine, that drives nitrogen (N) leaching from the farm. A new framework (UPF: Urine Patch Framework) is presented that post-processes the results of a whole farm model and runs a mechanistic soil model to simulate the urine patches. Two alternative methods to simulate the spatial distribution of urine patches were implemented and compared (
Grid
: spatially explicit, and
Probabilistic
: based on the probability of different temporal urination patterns). This paper describes the implementation of these two methods in connection with a Whole Farm Model; and compares the N leaching predictions with observed data. Two examples are provided, one analyzing the impact of urine patch overlap and another, the relative risk of N leaching at different times of urinary N deposition. The model showed good correlation and predictive ability between simulated annual N leaching results and observed data [R
2
= 94 %, mean relative prediction error (MRPE) = 10 % for
Grid
and R
2
= 72 %, MRPE = 20 % for
Probabilistic
]. The two methods produced similar results across an 8-year period for monthly and annual N leaching (R
2
= 96 %, MRPE = 10 % and R
2
= 86 %, MRPE = 8 %; respectively). Only 8 % of the paddock area was covered with multiple urinations during 1 year, but as much as 39 % of the total urine volume was deposited on overlapped patches. Systematically removing all urinary N for 1 month in either May or June reduced N leaching by approximately 20 %. Avoiding urinary N deposition during autumn or early winter could be highly effective in mitigating N leached during the following winter. |
doi_str_mv | 10.1007/s10705-012-9493-1 |
format | article |
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Grid
: spatially explicit, and
Probabilistic
: based on the probability of different temporal urination patterns). This paper describes the implementation of these two methods in connection with a Whole Farm Model; and compares the N leaching predictions with observed data. Two examples are provided, one analyzing the impact of urine patch overlap and another, the relative risk of N leaching at different times of urinary N deposition. The model showed good correlation and predictive ability between simulated annual N leaching results and observed data [R
2
= 94 %, mean relative prediction error (MRPE) = 10 % for
Grid
and R
2
= 72 %, MRPE = 20 % for
Probabilistic
]. The two methods produced similar results across an 8-year period for monthly and annual N leaching (R
2
= 96 %, MRPE = 10 % and R
2
= 86 %, MRPE = 8 %; respectively). Only 8 % of the paddock area was covered with multiple urinations during 1 year, but as much as 39 % of the total urine volume was deposited on overlapped patches. Systematically removing all urinary N for 1 month in either May or June reduced N leaching by approximately 20 %. Avoiding urinary N deposition during autumn or early winter could be highly effective in mitigating N leached during the following winter.</description><identifier>ISSN: 1385-1314</identifier><identifier>EISSN: 1573-0867</identifier><identifier>DOI: 10.1007/s10705-012-9493-1</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Agriculture ; Ammonia ; Biomedical and Life Sciences ; Computer simulation ; Dairy farms ; Deposition ; Farms ; Impact analysis ; Leaching ; Life Sciences ; Nitrogen ; Original Article ; Pasture ; Patches (structures) ; Predictions ; Probabilistic methods ; Spatial distribution ; Statistical analysis ; Urination ; Urine ; Winter</subject><ispartof>Nutrient cycling in agroecosystems, 2012-04, Vol.92 (3), p.329-346</ispartof><rights>Springer Science+Business Media B.V. 2012</rights><rights>Nutrient Cycling in Agroecosystems is a copyright of Springer, (2012). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-6ae46f0a6e7fdadb665d39d9543c2d39df2db0f43eca0606e841dad710f4054b3</citedby><cites>FETCH-LOGICAL-c316t-6ae46f0a6e7fdadb665d39d9543c2d39df2db0f43eca0606e841dad710f4054b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Romera, Alvaro J.</creatorcontrib><creatorcontrib>Levy, Gil</creatorcontrib><creatorcontrib>Beukes, Pierre C.</creatorcontrib><creatorcontrib>Clark, Dave A.</creatorcontrib><creatorcontrib>Glassey, Chris B.</creatorcontrib><title>A urine patch framework to simulate nitrogen leaching on New Zealand dairy farms</title><title>Nutrient cycling in agroecosystems</title><addtitle>Nutr Cycl Agroecosyst</addtitle><description>On New Zealand dairy farms, it is the nitrogen excreted directly onto pasture, particularly urine, that drives nitrogen (N) leaching from the farm. A new framework (UPF: Urine Patch Framework) is presented that post-processes the results of a whole farm model and runs a mechanistic soil model to simulate the urine patches. Two alternative methods to simulate the spatial distribution of urine patches were implemented and compared (
Grid
: spatially explicit, and
Probabilistic
: based on the probability of different temporal urination patterns). This paper describes the implementation of these two methods in connection with a Whole Farm Model; and compares the N leaching predictions with observed data. Two examples are provided, one analyzing the impact of urine patch overlap and another, the relative risk of N leaching at different times of urinary N deposition. The model showed good correlation and predictive ability between simulated annual N leaching results and observed data [R
2
= 94 %, mean relative prediction error (MRPE) = 10 % for
Grid
and R
2
= 72 %, MRPE = 20 % for
Probabilistic
]. The two methods produced similar results across an 8-year period for monthly and annual N leaching (R
2
= 96 %, MRPE = 10 % and R
2
= 86 %, MRPE = 8 %; respectively). Only 8 % of the paddock area was covered with multiple urinations during 1 year, but as much as 39 % of the total urine volume was deposited on overlapped patches. Systematically removing all urinary N for 1 month in either May or June reduced N leaching by approximately 20 %. Avoiding urinary N deposition during autumn or early winter could be highly effective in mitigating N leached during the following winter.</description><subject>Agriculture</subject><subject>Ammonia</subject><subject>Biomedical and Life Sciences</subject><subject>Computer simulation</subject><subject>Dairy farms</subject><subject>Deposition</subject><subject>Farms</subject><subject>Impact analysis</subject><subject>Leaching</subject><subject>Life Sciences</subject><subject>Nitrogen</subject><subject>Original Article</subject><subject>Pasture</subject><subject>Patches (structures)</subject><subject>Predictions</subject><subject>Probabilistic methods</subject><subject>Spatial distribution</subject><subject>Statistical analysis</subject><subject>Urination</subject><subject>Urine</subject><subject>Winter</subject><issn>1385-1314</issn><issn>1573-0867</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LAzEQhoMoWKs_wFvAczSz-djdYyl-QVEPevES0t1Ju7Wbrckupf_elBU8eZqX4Xlm4CXkGvgtcJ7fReA5V4xDxkpZCgYnZAIqF4wXOj9NWRSKgQB5Ti5i3PDkiEJOyNuMDqHxSHe2r9bUBdvivgtftO9obNpha3ukvulDt0JPt2irdeNXtPP0Bff0E-3W-prWtgkH6mxo4yU5c3Yb8ep3TsnHw_37_IktXh-f57MFqwTonmmLUjtuNeautvVSa1WLsi6VFFV2TC6rl9xJgZXlmmssJCQuh7TjSi7FlNyMd3eh-x4w9mbTDcGnlybLVFlkCnKRKBipKnQxBnRmF5rWhoMBbo7FmbE4k4ozx-IMJCcbnZhYv8Lwd_l_6QcLcXCt</recordid><startdate>20120401</startdate><enddate>20120401</enddate><creator>Romera, Alvaro J.</creator><creator>Levy, Gil</creator><creator>Beukes, Pierre C.</creator><creator>Clark, Dave A.</creator><creator>Glassey, Chris B.</creator><general>Springer Netherlands</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7X2</scope><scope>8FE</scope><scope>8FH</scope><scope>8FK</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>M0K</scope><scope>PATMY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope></search><sort><creationdate>20120401</creationdate><title>A urine patch framework to simulate nitrogen leaching on New Zealand dairy farms</title><author>Romera, Alvaro J. ; Levy, Gil ; Beukes, Pierre C. ; Clark, Dave A. ; Glassey, Chris B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-6ae46f0a6e7fdadb665d39d9543c2d39df2db0f43eca0606e841dad710f4054b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Agriculture</topic><topic>Ammonia</topic><topic>Biomedical and Life Sciences</topic><topic>Computer simulation</topic><topic>Dairy farms</topic><topic>Deposition</topic><topic>Farms</topic><topic>Impact analysis</topic><topic>Leaching</topic><topic>Life Sciences</topic><topic>Nitrogen</topic><topic>Original Article</topic><topic>Pasture</topic><topic>Patches (structures)</topic><topic>Predictions</topic><topic>Probabilistic methods</topic><topic>Spatial distribution</topic><topic>Statistical analysis</topic><topic>Urination</topic><topic>Urine</topic><topic>Winter</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Romera, Alvaro J.</creatorcontrib><creatorcontrib>Levy, Gil</creatorcontrib><creatorcontrib>Beukes, Pierre C.</creatorcontrib><creatorcontrib>Clark, Dave A.</creatorcontrib><creatorcontrib>Glassey, Chris B.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Agricultural Science Collection</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>Agriculture Science Database</collection><collection>Environmental Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><jtitle>Nutrient cycling in agroecosystems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Romera, Alvaro J.</au><au>Levy, Gil</au><au>Beukes, Pierre C.</au><au>Clark, Dave A.</au><au>Glassey, Chris B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A urine patch framework to simulate nitrogen leaching on New Zealand dairy farms</atitle><jtitle>Nutrient cycling in agroecosystems</jtitle><stitle>Nutr Cycl Agroecosyst</stitle><date>2012-04-01</date><risdate>2012</risdate><volume>92</volume><issue>3</issue><spage>329</spage><epage>346</epage><pages>329-346</pages><issn>1385-1314</issn><eissn>1573-0867</eissn><abstract>On New Zealand dairy farms, it is the nitrogen excreted directly onto pasture, particularly urine, that drives nitrogen (N) leaching from the farm. A new framework (UPF: Urine Patch Framework) is presented that post-processes the results of a whole farm model and runs a mechanistic soil model to simulate the urine patches. Two alternative methods to simulate the spatial distribution of urine patches were implemented and compared (
Grid
: spatially explicit, and
Probabilistic
: based on the probability of different temporal urination patterns). This paper describes the implementation of these two methods in connection with a Whole Farm Model; and compares the N leaching predictions with observed data. Two examples are provided, one analyzing the impact of urine patch overlap and another, the relative risk of N leaching at different times of urinary N deposition. The model showed good correlation and predictive ability between simulated annual N leaching results and observed data [R
2
= 94 %, mean relative prediction error (MRPE) = 10 % for
Grid
and R
2
= 72 %, MRPE = 20 % for
Probabilistic
]. The two methods produced similar results across an 8-year period for monthly and annual N leaching (R
2
= 96 %, MRPE = 10 % and R
2
= 86 %, MRPE = 8 %; respectively). Only 8 % of the paddock area was covered with multiple urinations during 1 year, but as much as 39 % of the total urine volume was deposited on overlapped patches. Systematically removing all urinary N for 1 month in either May or June reduced N leaching by approximately 20 %. Avoiding urinary N deposition during autumn or early winter could be highly effective in mitigating N leached during the following winter.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10705-012-9493-1</doi><tpages>18</tpages></addata></record> |
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subjects | Agriculture Ammonia Biomedical and Life Sciences Computer simulation Dairy farms Deposition Farms Impact analysis Leaching Life Sciences Nitrogen Original Article Pasture Patches (structures) Predictions Probabilistic methods Spatial distribution Statistical analysis Urination Urine Winter |
title | A urine patch framework to simulate nitrogen leaching on New Zealand dairy farms |
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