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Record W2041333038 · doi:10.2980/15-3-3141

Nitrogen uptake by <i>Hylocomium splendens</i> during snowmelt in a boreal forest

2008· article· en· W2041333038 on OpenAlexvenueno aff
Åsa Forsum, Hjalmar Laudon, Annika Nordin

Bibliographic record

VenueEcoscience · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicPeatlands and Wetlands Ecology
Canadian institutionsnot available
FundersVetenskapsrådet
KeywordsSnowmeltBorealBryophyteSnowChemistryForestryBotanyTaigaNitrogenEnvironmental scienceEcologyEnvironmental chemistryGeographyBiologyMeteorology

Abstract

fetched live from OpenAlex

AbstractIn most boreal regions snow composes a large portion of the annual precipitation. Although many boreal forest floor bryophytes depend largely on precipitation for their nitrogen (N) supply, bryophyte uptake of snow N is little explored. We studied chemical forms of plant-accessible N in snowmelt, as well as the temporal dynamics of their release. In conjunction we performed a N uptake experiment using the common boreal bryophyte Hylocomium splendens. The results demonstrated that the snowmelt N pool was dominated by NO3− (86%), followed by NH4+ (11%) and amino acid N (3%), in total providing ca 0.3 kg N·ha−1 to the forest floor vegetation. Hylocomium splendens was able to access both inorganic and organic 15N labelled N forms (NO3−, NH4+, and glycine) applied in situ to the snow covering the moss prior to snowmelt. Across all the N forms H. splendens took up ca 24% of the snow-deposited N. Nitrate uptake exceeded that of glycine, while NH4+ uptake was intermediate, reflecting the ambient distribution of the snowmelt N pool between plant-accessible N forms.RésuméDans la plupart des régions boréales, une proportion importante des précipitations annuelles tombe sous forme de neige. Bien que plusieurs bryophytes du sol de la forêt boréale dépendent en grande partie des précipitations pour leur approvisionnement en azote (N), l'assimilation du N de la neige par les bryophytes est peu explorée. Nous avons étudié les formes chimiques de N accessibles aux plantes dans l'eau de fonte de la neige, ainsi que la dynamique temporelle de leur disponibilité. Nous avons aussi effectué une expérience d'assimilation de N utilisant Hylocomium splendens, une espèce boréale commune de bryophytes. Les résultats ont démontré que NO3− dominait le pool de N dans l'eau de fonte de la neige (86%), suivi par NH4+ (11%) et par l'acide aminé N (3%) fournissant au total ca 0.3 kg N·ha−1 à la végétation du sol forestier. H. splendens était capable d'accéder aux formes de N identifiées au 15N tant inorganiques qu'organiques (NO3−, NH4+ et glycine) ajoutées in situ à la neige couvrant la mousse avant la fonte. De toutes les formes de N, H. splendens a utilisé ca 24% du N déposé par la neige. L'assimilation du nitrate a excédé celui de la glycine, tandis que l'assimilation de NH4+ était intermédiaire, reflétant la distribution ambiante de N dans l'eau de fonte de la neige entre les formes de N accessibles aux plantes.Keywords: amino acid Nammoniumbryophyte ecophysiologynitrateMots-clés: acide aminé Nammoniumécophysiologie des bryophytesnitrate

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.517

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.198
Teacher spread0.190 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations19
Published2008
Admission routes1
Has abstractyes

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