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Record W7120655912

Benthic macroinvertebrates and water infiltration in soil in a catchment basin of first order of Iguassu National Park

2016· dissertation· pt· W7120655912 on OpenAlexaboutno aff
Diogo Rafael Dammann

Bibliographic record

VenueInstitutional Repository of the Federal Technological University of Paraná (RIUT) (Federal University of Technology – Paraná) · 2016
Typedissertation
Languagept
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsnot available
Fundersnot available
KeywordsBenthic zoneNational parkHydrology (agriculture)Infiltration (HVAC)Drainage basinHabitatSTREAMSSedimentInvertebrate
DOInot available

Abstract

fetched live from OpenAlex

The Unities of Nature Conservation are territorial spaces destined to the protection and conservation of the natural resources, among then, the National Parks are considered one of their most important categories. The Iguassu National Park, located in the West region of the State of Parana, is considered as an environmental reference for studies that may provide subsidies for the development of monitoring programs and for the settling of actions for environmental recovering. In this context, the aim of this work was to study the benthic macroinvertebrates and their relation to the water quality, besides investigate the dynamics of water in soil. The study area matches a catchment basin where the Stream of Boa Vista is inserted, located in the North portion of the Iguassu National Park, in the region of Céu Azul city. Throughout this stream course, points were selected for the application of the quick evaluation protocol of the habitat diversity; for the collect and analysis of the water and sediment physicochemical parameters e; for the sampling collect for the identification of thebenthic fauna. In this catchment basin, eight trials have been conducted with Guelph permeameter to verify the water infiltration speed and the soil hydraulics conductivity. The points where the ecological assessment protocol was applied were classified as natural extracts. The analyzed sediments showed little variation among the percentage of sand, silt and clay, however, they were found different values for organic matter. The analyses of physical and chemical parameters showed little change over the period studied. Were found 2282 benthic macroinvertebrates, distributed in 36 families of 9 different orders, having as more abundant the Chironomidae. The evaluation of the ecological groups showed that 46,67% of the individuals are collectors, followed by the shredders with 25,46%. The values obtained by the application indexes indicated a diversity of organisms, where the water temperature and precipitation were the variables most correlated with changes in the benthic community. The trials of the water infiltration presented high speeds of infiltration and variations of soil hydraulic conductivity, features of the forestry 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 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 score0.106
Threshold uncertainty score0.211

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 studies0.0010.001
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 head0.009
GPT teacher head0.189
Teacher spread0.181 · 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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueInstitutional Repository of the Federal Technological University of Paraná (RIUT) (Federal University of Technology – Paraná)→Same topicFreshwater macroinvertebrate diversity and ecology→French-language works237,207→