Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures

Detalhes bibliográficos
Autor(a) principal: Cameira, Maria
Data de Publicação: 2019
Outros Autores: Rolim, João, Valente, Fernanda, Faro, Afonso, Dragosits, Ulrike, Cordovil, Cláudia
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10400.5/17682
Resumo: The present study describes a methodology to quantify the gross soil nitrogen balance (SNB) for agricultural land use in the Tagus Nitrate Vulnerable Zone (TVZ) between 1989 and 2016, including effects of implementation of the EC Nitrates Directive (ND, 91/676/EEC) since 2004. The study uses decadal information from National Agricultural Census at parish level and is supported by a Geographical Information System (GIS). The average SNB of the TVZ decreased significantly (p < 0.001) from 125 kg ha−1 in 1989 to 63 kg ha−1 in 2016 (on average 1.8 kg ha−1 yr−1). The N input via irrigation water was particularly high in seven municipalities where it represents up to 35% of the total inputs. Using a Monte Carlo approach, the average uncertainty of the SNB was calculated at 12%. The most important sources of uncertainty were mineral fertilization, nitrate concentration in groundwater used for irrigation and the percentage of farmers complying with ND measures. GIS analysis shows that, at the scale of municipalities, the SNB has decreased since the ND implementation in regions dominated by irrigated intensive crop production, while the SNB has stabilized in municipalities in the south of TVZ with intensive livestock production (75% of area). We conclude that the implementation of ND and national measures to reduce the SNB was not equally effective across the TVZ. Our results indicate that the most effective measures to reduce the SNB in the future are increasing compliance of farmers with the ND related measures and measures increasing the nitrogen use efficiency of livestock manures
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spelling Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measuresNitrates directivevulnerable zones to nitratesN surplusspatializationtrend analysisMonte CarloThe present study describes a methodology to quantify the gross soil nitrogen balance (SNB) for agricultural land use in the Tagus Nitrate Vulnerable Zone (TVZ) between 1989 and 2016, including effects of implementation of the EC Nitrates Directive (ND, 91/676/EEC) since 2004. The study uses decadal information from National Agricultural Census at parish level and is supported by a Geographical Information System (GIS). The average SNB of the TVZ decreased significantly (p < 0.001) from 125 kg ha−1 in 1989 to 63 kg ha−1 in 2016 (on average 1.8 kg ha−1 yr−1). The N input via irrigation water was particularly high in seven municipalities where it represents up to 35% of the total inputs. Using a Monte Carlo approach, the average uncertainty of the SNB was calculated at 12%. The most important sources of uncertainty were mineral fertilization, nitrate concentration in groundwater used for irrigation and the percentage of farmers complying with ND measures. GIS analysis shows that, at the scale of municipalities, the SNB has decreased since the ND implementation in regions dominated by irrigated intensive crop production, while the SNB has stabilized in municipalities in the south of TVZ with intensive livestock production (75% of area). We conclude that the implementation of ND and national measures to reduce the SNB was not equally effective across the TVZ. Our results indicate that the most effective measures to reduce the SNB in the future are increasing compliance of farmers with the ND related measures and measures increasing the nitrogen use efficiency of livestock manuresElsevierRepositório da Universidade de LisboaCameira, MariaRolim, JoãoValente, FernandaFaro, AfonsoDragosits, UlrikeCordovil, Cláudia2019-04-02T11:02:30Z20192019-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.5/17682engLand Use Policy 84 (2019) 278-293https://doi.org/10.1016/j.landusepol.2019.02.028info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-06T14:47:21Zoai:www.repository.utl.pt:10400.5/17682Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:02:50.429353Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
title Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
spellingShingle Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
Cameira, Maria
Nitrates directive
vulnerable zones to nitrates
N surplus
spatialization
trend analysis
Monte Carlo
title_short Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
title_full Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
title_fullStr Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
title_full_unstemmed Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
title_sort Spatial distribution and uncertainties of nitrogen budgets for agriculture in the Tagus river basin in Portugal - implications for effectiveness of mitigation measures
author Cameira, Maria
author_facet Cameira, Maria
Rolim, João
Valente, Fernanda
Faro, Afonso
Dragosits, Ulrike
Cordovil, Cláudia
author_role author
author2 Rolim, João
Valente, Fernanda
Faro, Afonso
Dragosits, Ulrike
Cordovil, Cláudia
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Cameira, Maria
Rolim, João
Valente, Fernanda
Faro, Afonso
Dragosits, Ulrike
Cordovil, Cláudia
dc.subject.por.fl_str_mv Nitrates directive
vulnerable zones to nitrates
N surplus
spatialization
trend analysis
Monte Carlo
topic Nitrates directive
vulnerable zones to nitrates
N surplus
spatialization
trend analysis
Monte Carlo
description The present study describes a methodology to quantify the gross soil nitrogen balance (SNB) for agricultural land use in the Tagus Nitrate Vulnerable Zone (TVZ) between 1989 and 2016, including effects of implementation of the EC Nitrates Directive (ND, 91/676/EEC) since 2004. The study uses decadal information from National Agricultural Census at parish level and is supported by a Geographical Information System (GIS). The average SNB of the TVZ decreased significantly (p < 0.001) from 125 kg ha−1 in 1989 to 63 kg ha−1 in 2016 (on average 1.8 kg ha−1 yr−1). The N input via irrigation water was particularly high in seven municipalities where it represents up to 35% of the total inputs. Using a Monte Carlo approach, the average uncertainty of the SNB was calculated at 12%. The most important sources of uncertainty were mineral fertilization, nitrate concentration in groundwater used for irrigation and the percentage of farmers complying with ND measures. GIS analysis shows that, at the scale of municipalities, the SNB has decreased since the ND implementation in regions dominated by irrigated intensive crop production, while the SNB has stabilized in municipalities in the south of TVZ with intensive livestock production (75% of area). We conclude that the implementation of ND and national measures to reduce the SNB was not equally effective across the TVZ. Our results indicate that the most effective measures to reduce the SNB in the future are increasing compliance of farmers with the ND related measures and measures increasing the nitrogen use efficiency of livestock manures
publishDate 2019
dc.date.none.fl_str_mv 2019-04-02T11:02:30Z
2019
2019-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.5/17682
url http://hdl.handle.net/10400.5/17682
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Land Use Policy 84 (2019) 278-293
https://doi.org/10.1016/j.landusepol.2019.02.028
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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