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Enregistrement W2530339924

A characterization of the controls of the nitrogen and oxygen isotope ratios of biologically-produced nitrous oxide and nitrate in soils

2011· dissertation· en· W2530339924 sur OpenAlexaboutno aff
David Snider

Notice bibliographique

RevueUWSpace (University of Waterloo) · 2011
Typedissertation
Langueen
DomaineEnvironmental Science
ThématiqueIsotope Analysis in Ecology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésNitrous oxideEnvironmental chemistryNitrogenNitrateSoil waterChemistryCharacterization (materials science)OxygenDenitrificationEnvironmental scienceSoil scienceMaterials scienceOrganic chemistryNanotechnology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Nitrous oxide (N₂O) is a potent greenhouse gas, an important driver of climate change, and its concentration in the atmosphere is rising at an unprecedented rate. Agriculture is the leading contributor of all the anthropogenic N₂O sources, and the vast majority of agricultural N₂O emissions originate from soil. Of all the natural N₂O emissions, two-thirds originate from soil and temperate forests contribute approximately one-sixth of the natural soil emissions. Consequently, there is great interest in understanding the soil nitrogen processes responsible for N₂O production so that effective policies and management practises can be implemented to successfully mitigate climate change. \n \nThe stable isotopes of nitrogen (N) and oxygen (O) in soil N₂O emissions are hypothesized to be useful indicators of the biogeochemical processes that produce and consume N₂O, and they may be used to apportion different environmental sources. The primary objective of this thesis was to assess the utility of δ¹⁵N and δ¹⁸O values to differentiate N₂O produced by nitrification and denitrification. \n \nMost of the previous research on N₂O isotopes has utilized microbial cultures of single organisms; yet natural systems contain a consortium of N-metabolizing microorganisms so the relevance of this early work to natural environments is uncertain. This thesis presents the results of experimental incubations of soil from an agricultural site and a temperate forest located within Ontario, Canada. Two well-drained soils (upland), two poorly-drained soils (wetland), and one stream sediment were incubated under varying conditions (temperature, moisture, and N-availability) to achieve a wide range in the rate of N₂O production. The δ¹⁵N and δ¹⁸O values of N₂O produced from the different experiments were characterized and the isotope effects (ε) of N₂O production were calculated. Experiments were conducted in aerobic or anoxic atmospheres to stimulate N₂O formation by nitrification and denitrification, respectively. \n \nThe δ¹⁵N-N₂O produced by denitrification in all soils was 7–35‰ lower than the δ¹⁵N-nitrate (NO₃⁻). The δ¹⁵N-N₂O produced by nitrification in the upland forest soil and the agricultural soils was 28–54‰ lower than the δ¹⁵N-ammonium. Nitrification in the forested wetland soil yielded higher δ¹⁵N-N₂O values (Δ = −16‰), which was likely caused by an increase in the δ¹⁵N-substrate. With the exception of the latter soil, there was clear ¹⁵N-separation between the nitrification- and denitrification-derived N₂O in all soils. Consequently, δ¹⁵N values can be used to apportion different environmental sources of N₂O on a site-by-site basis, provided that the rates of N metabolism are known and the isotopic endmembers are well-characterized. \n \nA novel approach was employed in this thesis to help unravel the key controls of δ¹⁸O-N₂O and δ¹⁸O-NO₃⁻ formation. Different ¹⁸O-labelled soil waters were used to demonstrate that the abiotic exchange of oxygen atoms between water and nitrite (in equilibrium) is an important control of the δ¹⁸O-N₂O formed by nitrifier-denitrification and the δ¹⁸O-NO₃⁻ formed by nitrification. O-exchange in these incubations was highly variable between soils (37–88%) and it appeared to be rate-related. Furthermore, the δ¹⁸O value of microbial NO₃⁻ is partially controlled by ¹⁸O/¹⁶O fractionation that occurs during O-exchange (equilibrium fractionation) and the uptake of molecular oxygen (O₂) and water (H₂O) (kinetic fractionation). This research showed that the δ¹⁸O value of microbially-produced NO₃⁻ cannot be successfully predicted in soils based upon the commonly used ‘one third, two-thirds rule’, which only takes into account the δ¹⁸O values of O₂ and H₂O. Successful predictions of δ¹⁸O-NO₃⁻ using this rule appear to be fortuitous and are because of the range of δ¹⁸O-H₂O at natural abundance and the magnitude of the isotope effects involved. \n \nEnzyme-catalyzed (biotic) O-exchange between water and nitrite/nitric oxide in denitrification was also quantified for the first time in soils. O-exchange during denitrification was significant and variable (39–95%), but uniquely confined to narrow ranges for each soil type. Almost complete O-exchange occurred in the well-drained agricultural and forested soils (86–95%); less O-exchange occurred in the agricultural and forested wetland soils (63–70%); and even less O-exchange occurred in the agricultural stream sediment (39–51%). The magnitude of O-exchange during denitrification was independent of soil temperature and moisture for a given soil, and it was not related to the rate of N₂O production. This implies that the amount of O-exchange that occurs during soil denitrification is controlled by the dominant microbial community. \n \nFor the first time, estimates of the net O isotope effect were determined for N₂O production by soil denitrifiers that accounted for the complicating effects of O-exchange. The net ¹⁸O-discrimination (N₂O−NO₃⁻) ranged between +32‰ and +60‰, with the exception of one treatment that was cooled (ε = +17‰). The O isotope separation (Δ) that is actually observed in natural systems is often much lower, and in some cases negative. This is because the atomic O-exchange between water and nitrite/nitric oxide effectively diminishes the net ¹⁸O separation between NO₃⁻ and N₂O because δ¹⁸O values of environmental water are usually lower than the δ¹⁸O values of N₂O-precursors. \n \nThe determinants of δ¹⁸O-N₂O produced by nitrification pathways are complex and there is no holistic explanation of the O isotope dynamics in the literature. This thesis provides the first systematic model to describe δ¹⁸O-N₂O formation by aerobic pathways. In addition to O-exchange between water and nitrite (at equilibrium), δ¹⁸O-N₂O is controlled by ¹⁸O/¹⁶O fractionation that results from this O-exchange mechanism, and from fractionation that occurs during ammonia-oxidation and nitrite-reduction. Although explaining δ¹⁸O-N₂O values produced by nitrification is complex, reports of nitrifier-derived δ¹⁸O-N₂O in the literature and this thesis are narrowly confined between +13‰ and +31‰ (rel. VSMOW). This is distinct from much of the denitrifier-produced δ¹⁸O-N₂O, which is often ¹⁸O-enriched and higher than +33‰. \n \nIn three out of the five different soils investigated in this thesis, δ¹⁸O-N₂O could be used to separate N₂O formed by nitrification and denitrification. There was poor δ¹⁸O separation between nitrifier- and denitrifier-derived N₂O in the well-drained soils because high amounts of biotic O-exchange and reduced O isotope separations yielded lower (predicted) estimates of denitrifier-produced δ¹⁸O-N₂O. On the other hand, δ¹⁵N values could be used to apportion nitrifier- and denitrifier-derived N₂O sources in these soils. Thus, stable isotope ratios of N₂O are a valuable and promising tool that may help differentiate nitrifier-N₂O from denitrifier-N₂O in natural soil environments.

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 enseignants0,298
Score d'incertitude au seuil0,592

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
Bibliométrie0,0000,000
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0000,000
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 Opus0,007
Tête enseignante GPT0,174
Écart entre enseignants0,167 · 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

Citations3
Publié2011
Routes d'admission1
Résumé présentoui

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