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Record W2024089068 · doi:10.1002/jpln.201100307

Phosphorus fractions and profile distribution in newly formed wetland soils along a salinity gradient in the Yellow River Delta in China

2012· article· en· W2024089068 on OpenAlexaff
Gang Xu, Hong‐Bo Shao, Junna Sun, Scott X. Chang

Bibliographic record

VenueJournal of Plant Nutrition and Soil Science · 2012
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsUniversity of Alberta
FundersCAS-SAFEA International Partnership Program for Creative Research TeamsChinese Academy of SciencesNational Natural Science Foundation of China
KeywordsWetlandSoil waterSalinityChemistryPhosphorusOrganic matterEnvironmental chemistrySoil organic matterDeltaEcosystemAnimal scienceAgronomyEcologyBiology

Abstract

fetched live from OpenAlex

Abstract Soil P availability has been identified as one of the key factors controlling wetland productivity, structure, and function. Soil P fractions at different depths in newly formed wetlands along a salinity gradient in Yellow River Delta (China) were studied using a modified Hedley fraction method. The total P (P t ) content ranged from 471.1 to 694.9 mg kg –1 , and diluted HCl‐extractable inorganic P (Dil‐HCl‐P i ) ranged from 324 to 524.2 mg kg –1 . The Dil‐HCl‐P i is the predominant P form in all profiles, with on average 70% of the P t extracted as P i . Organic P (P o ) comprised (4.2 ± 2.0)% (mean ± SD) of the P t , due to low organic‐matter content in coastal salt marsh ecosystems. The labile P (resin‐P, NaHCO 3 ‐P i , and NaHCO 3 ‐P o ) and moderately labile P (NaOH‐P i and NaOH‐P o ) concentrations were both low, ranged from 11.6 to 38.1 and 2.8 to 21.3 mg kg –1 , respectively, constituting (3.7 ± 1.1)% and (2.0 ± 0.7)%, respectively, of P t , suggesting low availability of P to plants in these soils. Our results suggested that vegetation cover significantly influenced soil P dynamics and availability. In particular, the labile P content under Tamarix chinensis increased significantly by 23.2%–145.5% compared with adjacent soils. These findings have important implications for wetland conservation or restoration and long‐term sustainable management of newly formed wetland ecosystems in the Yellow River Delta.

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)0.002
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 score0.009
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.009
GPT teacher head0.222
Teacher spread0.213 · 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

Citations41
Published2012
Admission routes1
Has abstractyes

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