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Record W6982233044

Holocene Carbon Sequestration and Ecosystems of Wetlands in the San Joaquin Watershed, California

2022· other· en· W6982233044 on OpenAlexaboutno aff

Bibliographic record

VenueeScholarship (California Digital Library) · 2022
Typeother
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandCarbon sequestrationSan JoaquinCanyonHydrology (agriculture)EcosystemVegetation (pathology)HoloceneSediment
DOInot available

Abstract

fetched live from OpenAlex

Sediment cores were collected from wetlands along a headwaters-to-estuary gradient within the San Joaquin watershed, California, to examine environmental changes, and carbon (C) storage and sequestration rates over the Holocene. Local hydrogeomorphic conditions were the primary drivers of C sequestration at seven wetland systems analyzed Paleoecological assays of C and multiple paleo-indices were conducted on two cores from the Sacramento-San Joaquin Delta, three cores from Yosemite National Park, and on two cores from Sequoia-Kings Canyon National Park to reconstruct C storage and ecosystem functioning of wetland systems in the watershed over the Holocene. Bayesian age-depth models were developed using cesium 137/lead 210 and radiocarbon dating. Paleo proxies such as loss-on-ignition, pollen, x-ray fluorescence, and charcoal showed that local hydrogeomorphic conditions were the primary drivers of variability in C sequestration at 7 wetland systems analyzed. There is some evidence of C sequestration responding to past warming by changing vegetation types, altering geochemical concentrations of crustal elements, and varying the frequency of wildfires. A 300 cm sediment core retrieved from Dana Meadow, Yosemite National Park, spans the past 9000 years and indicates carbon storage was ≥ 24 g m2 yr-1 during the Holocene Thermal Maximum (~8000 – 3000 years ago). By the mid-Holocene, terrestrial plants like Quercus and Tsuga mertensiana expanded upslope amid prolonged warming. Average rates of C sequestration and vertical accretion from the five Yosemite and Sequoia-Kings Canyon wet meadows indicate regional similarities to rates of C storage from subalpine fens in the mountains of western North America as far north as Alberta, Canada. The two cores from the Sacramento-San Joaquin Delta present no clear relationships between C content and climate change. In the Delta, decreases in C content and sedimentation rates occurred after Euro-American settlement in the 19th century, trends that continue during the 21st century. The findings of this dissertation on the whole suggest: 1) no regionally coherent climatic response to past climatic changes was shown in the paleo indices measured for the seven sediment cores from the Delta and Sierra; 2) there is much local variability in the histories of these wetlands and their C sequestration records; 3) local variations in hydrogeomorphology appears to be a primary driver of natural C sequestration and storage for each site; 4) such variability likely reflects differing responses and sensitivities to the impacts past climatic change as well as local hydrogeomorphology; and 5) although this study detected no widespread coherent response of the San Joaquin wetlands C dynamics to past Holocene climatic changes, documenting and helping to understand the potential variability of such environmental systems isarguably just as important in anticipating California’s climate change future and its potential variability of responses.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.237
Threshold uncertainty score0.472

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.187
Teacher spread0.179 · 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 source (direct Gemma or distilled Codex), 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

Citations0
Published2022
Admission routes1
Has abstractyes

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