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Record W2011789272 · doi:10.1080/14634980500536006

The coastal wetland's ecological functions and its changes under anthropic pressure: A case study in Xiamen, China

2006· article· en· W2011789272 on OpenAlexaff
Tao Lin, Xiong Zhi Xue, Xiufeng Cao, Shawn H. Shen

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2006
Typearticle
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsSaint Mary's University
Fundersnot available
KeywordsWetlandSiltationHabitatBiodiversityEcosystemEnvironmental scienceShoreMangroveEcologyPhragmitesClimate changeEcological healthSedimentWater resource managementGeographyOceanographyGeology

Abstract

fetched live from OpenAlex

Coastal wetlands play a significant role in maintaining the balance and health of the ecosystem, such as regulating the climate and maintaining biodiversity. As well, coastal wetlands also characterize valuable services and resources for society including cleaning the environment and providing abundant resources. Both inappropriate exploitation of and constant human activity influences on coastal wetlands have caused numerous ecological problems. We summarize the four vital ecological functions of the coastal wetland in Xiamen, that is, 1. mitigation of climate change, 2. protection of water and soil, 3. purification of water, 4. habitat for wild animals, and 5. biological production. Subsequently we investigate and study the changes of the coastal wetland in Xiamen and the anthropic pressures from: 1. minimization of the shallow sea area, 2. in-shore siltation, 3. sediment changes with-in the wetland, and 4. shrinkage of the mangrove area. The paper aims to provide scientific evidence of the important role of wetlands in the coastal ecosystem and make clear the relationship between human activities and the health of these wetland areas.

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)0.001
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 score0.814
Threshold uncertainty score0.990

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.001
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 head0.013
GPT teacher head0.252
Teacher spread0.239 · 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

Citations5
Published2006
Admission routes1
Has abstractyes

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