MétaCan
Menu
← Retour à la cohorte
Enregistrement W3214911410 · doi:10.7939/r3-yjks-jt71

Agricultural Biosolids Application: Greenhouse Gas Emissions, Nitrogen Dynamics, and Crop Productivity

2021· article· en· W3214911410 sur OpenAlexaboutno aff
R Aída R Pérez

Notice bibliographique

RevueUniversity of Alberta Library · 2021
Typearticle
Langueen
DomaineAgricultural and Biological Sciences
ThématiqueSoil Carbon and Nitrogen Dynamics
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiosolidsEnvironmental scienceGreenhouse gasAgricultureProductivityGreenhouseCrop productivityNitrogenAgronomyCropEnvironmental engineeringChemistryEcologyEconomics

Résumé

récupéré en direct d'OpenAlex

Agricultural activities contribute greatly to greenhouse gas (GHG) emissions, accounting for 14% of the total anthropogenic emissions of GHG such as nitrous oxide (N2O), carbon dioxide (CO2), and methane (CH4). Of these GHG, N2O is the most concerning gas because of its high global warming potential (GWP), 298 times higher than that of CO2, and its capacity for depleting stratospheric ozone. The increase of nitrogen fertilizer additions over the years has made agricultural soils responsible for around 60% of global anthropogenic N2O emissions. Biosolids are by-products from sewage treatment processes that can be land applied to agricultural soils in order to recycle their nutrients, improve soil properties and decrease the dependence on commercial fertilizers; however, GHG can be released from this practice. Thus, there is a need to understand the effects of biosolid additions on N dynamics, nutrient use efficiency, crop productivity, and the amount of GHG emissions released by this practice. In a field study, we evaluated the fluxes of N2O, CH4 and CO2, soil available N, barley (Hordeum vulgare L.) biomass productivity, and nitrogen use efficiency (NUE) in croplands receiving three types of biosolids (mesophilic anaerobic digested [BM], composted [BC], and alkaline-stabilized [BA]) and granular urea in a Black Chernozem soil in Central Alberta, Canada, over three experimental site-years. The combinations of each biosolid with urea was also evaluated. All N source treatments were assessed in two placements: surface (S) and incorporation (I) to 15 cm soil depth. Nitrous oxide emissions were triggered by concurrent increases of soil moisture and available N, and incorporation of the N source increased N2O emissions compared to surface-applied N. Annual N2O emission factor (EFarea) from urea-amended soils (0.62 ± 0.14%) were fivefold higher than those from soils receiving only BA or BC (0.12 ± 0.04% or 0.12 ± 0.03%, respectively, P < 0.05), but EFarea from soils amended with only BM (1.33 ± 034%) was more than double the EFarea from urea-amended soils (P > 0.05). Carbon dioxide (CO2) fluxes generally followed similar patterns as the N2O fluxes, while CH4 fluxes were minimal. Overall, the mesophilic anaerobic digested under incorporation treatment (BMI) showed the highest GHG emissions. Results of a partial GHG balance showed that N2O emissions were the main contributor (up to 96%), while urea manufacturing contribution to the GHG balance was up to 52%. This offset the comparatively low field N2O emissions from the urea-amended fields, leading to even higher CO2 equivalents than the BA- and BC-amended fields. Incorporating the N sources enhanced barley biomass, and in certain cases, the combinations of biosolids and urea (e.g., BMURI, BMURS, BCURS) showed even higher biomass and NUE, as well as lower N2O emissions than biosolids-amended soils. Moreover, in an incubation study, we examined the effect of moisture (i.e., 28, 40, 52, and 64% WFPS) and the different types of biosolids aforementioned (i.e., BM, BA, and BC) on N2O production in the referred Black Chernozem soil. We found how the different biosolids properties and soil water contents influenced soil available N dynamics to produce N2O emissions. BM- and BC-amended soils were the higher N2O emitters, and emissions increased with soil moisture. These biosolids-amended soils also showed higher nitrification rates than BA-amended soils and the controls. The NO3−–N concentration by the end of the experiment was well correlated with the total N2O production (r = 0.91). In addition, we examined the sources and priming of N2O production as a function of 15N-labelled urea addition and multiple moisture contents (28, 40, 52, and 64% WFPS) in a Black Chernozem soil (high SOM: 55 g organic C kg−1). More N2O was sourced from SOM than added urea, with 59 ± 2% N2O originating from SOM, and SOM-derived N2O under urea was larger than that of the control, revealing a positive N2O priming triggered by urea addition (19 ± 2% of the total N2O from urea-amended soils). In summary, our findings will help to improve prediction ability and mitigation strategies for GHG emissions, particularly for N2O, from agricultural soils receiving biosolids additions.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,538
Score d'incertitude au seuil0,930

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,162
Écart entre enseignants0,156 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2021
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueUniversity of Alberta Library→Même sujetSoil Carbon and Nitrogen Dynamics→Travaux en français237 207→