{"id":1554,"date":"2022-01-31T13:56:57","date_gmt":"2022-01-31T11:56:57","guid":{"rendered":"https:\/\/urbag.eu\/?p=1554"},"modified":"2022-01-31T13:56:57","modified_gmt":"2022-01-31T11:56:57","slug":"publication-in-science-of-the-total-environment_mapping","status":"publish","type":"post","link":"https:\/\/webs.uab.cat\/atmosphere\/2022\/01\/31\/publication-in-science-of-the-total-environment_mapping\/","title":{"rendered":"Publication in Science of The Total Environment"},"content":{"rendered":"

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See full article\/ Veure l’article complet<\/strong><\/a><\/p>\n

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English:<\/strong><\/p>\n

Geographically explicit datasets reflecting local management of crops are needed to help improve direct nitrous oxide (N2<\/sub>O) emission inventories. Yet, the lack of geographically explicit datasets of relevant factors influencing the emissions make it difficult to estimate them in such way. Particularly, for local peri-urban agriculture, spatially explicit datasets of crop type, fertilizer use, irrigation, and emission factors (EFs) are hard to find, yet necessary for evaluating and promoting urban self-sufficiency, resilience, and circularity. We spatially distribute these factors for the peri-urban agriculture in the Metropolitan Area of Barcelona (AMB) and create N2<\/sub>O emissions maps using crop-specific EFs as well as Tier 1 IPCC EFs for comparison. Further, the role of the soil types is qualitatively assessed. When compared to Tier 1 IPCC EFs, we find 15% more emissions (i.e. 7718\u202fkg\u202fN2<\/sub>O-N\u202fyear\u22121<\/sup>) than those estimated with the crop-specific EFs (i.e. 6533\u202fkg\u202fN2<\/sub>O-N\u202fyear\u22121<\/sup>) for the entire AMB. Emissions for most rainfed crop areas like cereals (e.g. oat and barley) and non-citric fruits (e.g. cherries and peaches), which cover 24% and 13% of AMB’s peri-urban agricultural area respectively, are higher with Tier 1 EF. Conversely, crop-specific EFs estimate higher emissions for irrigated horticultural crops (e.g. tomato, artichoke) which cover 33% of AMB’s peri-urban agricultural area and make up 70% of the total N2<\/sub>O emissions (4588\u202fkg N2<\/sub>O-N\u202fyear\u22121<\/sup>\u00a0using crop-specific EFs). Mapping the emissions helps evaluate spatial variability of key factors such as fertilizer use and irrigation of crops but carry uncertainties due to downscaling regional data to represent urban level data gaps. It also highlighted core emitting areas. Further the usefulness of the outputs on mitigation, sustainability and circularity studies are briefly discussed.<\/p>\n

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Catal\u00e0:<\/strong><\/p>\n

Es necessiten dades geogr\u00e0ficament expl\u00edcites que reflecteixin la gesti\u00f3 local dels cultius per ajudar a millorar els inventaris d’emissions directes d’\u00f2xid nitr\u00f3s (N2O). No obstant aix\u00f2, la manca de d\u2019aquestes dades que influeixen en les emissions fan que sigui dif\u00edcil estimar-les d’aquesta manera. En particular, per a l’agricultura local periurbana, els conjunts de dades espacialment expl\u00edcits de tipus de cultiu, \u00fas de fertilitzants, reg i factors d’emissi\u00f3 (EFs) s\u00f3n dif\u00edcils de trobar, per\u00f2 necessaris per avaluar i promoure l’autosufici\u00e8ncia urbana, la resili\u00e8ncia i la circularitat de recursos. En aquest estudi hem distribu\u00eft espacialment aquests factors per a l’agricultura periurbana a l’\u00c0rea Metropolitana de Barcelona (AMB) i hem creat mapes d’emissions de N2O utilitzant EFs espec\u00edfics de cultius i EFs de l’IPCC de nivell 1 per a la comparaci\u00f3. A m\u00e9s, s’ha avaluat qualitativament el paper dels tipus de s\u00f2l. En comparaci\u00f3 amb els EFs de l’IPCC de nivell 1, hem trobat un 15% m\u00e9s d’emissions (\u00e9s a dir, 7718 kg N2O-N any\u22121) que les estimades amb els EF espec\u00edfics dels cultius (\u00e9s a dir, 6533 kg N2O-N any\u22121) per a tota l’AMB. Les emissions per a la majoria de les zones de cultiu de sec\u00e0, com cereals (per exemple, civada i ordi) i fruites no c\u00edtriques (per exemple, cireres i pr\u00e9ssecs), que cobreixen el 24% i el 13% de l’\u00e0rea agr\u00edcola periurbana de l’AMB respectivament,\u00a0 s\u00f3n m\u00e9s alts amb Tier 1 EF. Per contra, els EF espec\u00edfics dels cultius estimen majors emissions per als cultius hort\u00edcoles de regadiu (per exemple, tom\u00e0quet, carxofa) que cobreixen el 33% de la superf\u00edcie agr\u00edcola periurbana de l’AMB i que representa el 70% de les emissions totals de N2O (4588 kg N2O-N any-1 utilitzant EFs espec\u00edfics de cultius). El mapeig de les emissions ajuda a avaluar la variabilitat espacial de factors clau com l’\u00fas de fertilitzants i el reg dels cultius, per\u00f2 generen incerteses a causa de la reducci\u00f3 de les dades regionals per representar les llacunes de dades a nivell urb\u00e0. Tamb\u00e9 s\u2019han destacat les principals \u00e0rees emissores. A m\u00e9s, s\u2019ha discutit breument la utilitat dels resultats sobre els estudis de mitigaci\u00f3, sostenibilitat i circularitat.<\/p>\n

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Figure:<\/strong> Graphical abstract.<\/p>\n

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Title: Mapping direct N2O emissions from peri-urban agriculture: The case of the Metropolitan Area of Barcelona \/ <\/p>\n

Geographically explicit datasets reflecting local management of crops are needed to help improve direct nitrous oxide (N2O) emission inventories. Yet, the lack of geographically explicit datasets of relevant factors influencing the emissions make it difficult to estimate them in such way. <\/p>\n","protected":false},"author":3153,"featured_media":1562,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[32,16,22,127,77,14,128,10,15],"class_list":["post-1554","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-general","tag-agriculture","tag-barcelona","tag-ghg","tag-gis","tag-icta","tag-local-food","tag-mapping","tag-urbag","tag-urban-agriculture"],"_links":{"self":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts\/1554","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/users\/3153"}],"replies":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/comments?post=1554"}],"version-history":[{"count":0,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/posts\/1554\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/media\/1562"}],"wp:attachment":[{"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/media?parent=1554"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/categories?post=1554"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/webs.uab.cat\/atmosphere\/wp-json\/wp\/v2\/tags?post=1554"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}