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Record W1979795670 · doi:10.1080/14634980802319135

Freshwater fishes and aquatic habitats in Peru: Current knowledge and conservation

2008· article· en· W1979795670 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueAquatic Ecosystem Health & Management · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicFish biology, ecology, and behavior
Canadian institutionsnot available
FundersMcGill University
KeywordsFishingGeographyHabitatFisheryCharacidaeDeforestation (computer science)Drainage basinEcologyCatch per unit effortBiodiversityFish <Actinopterygii>Biology

Abstract

fetched live from OpenAlex

Peruvian freshwater fishes and their habitats were investigated by the Natural History Museum of San Marcos University (MHNSM) as part of a long-term project. Fishes were inventoried by sampling in main drainage basins, including coastal rivers, highland rivers, and Peru's Amazonian waters. To date, the MHNSM fish collection has approximately 300,000 specimens comprising 1000 valid species in 168 families and 8 orders. The greatest diversity lies within the Ostariophysi (80% of all species) with the dominant orders being Characiformes and Siluriformes. Characidae is the most diverse family with 22.5% of all species. Protected areas (i.e. Parks, Reserved Zones or National Reserves) have been sampled intensively providing a reasonable estimates of their fish diversity. However, our knowledge is still poor for less accessible areas. More fieldwork is needed in all of the large river basins before we can have a fuller understanding of total fish diversity. As an example of ongoing efforts, we discuss specific fish inventories in both Peruvian coastal rivers and highlands and in river systems shared with neighboring countries. In addition to Peruvian fish diversity; we discuss the state of aquatic resources and habitats in Peru's principal river basins, and current problems facing such aquatic systems (e.g. inland fisheries and extractive activities such as deforestation and gold mining). Near large cities, such as Iquitos and Pucallpa, fishing effort has increased considerably in the last decade, whereas catch per unit effort appears to have decreased considerably indicating that over-fishing has become locally problematic. An overview is presented of main conservation problems, including exotic species that confront aquatic ecosystems in Peru. Finally, an environmental education program is recommended to inform the general public about the value of freshwater fishes and aquatic ecosystems and the main problems such resources are facing.

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.

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 score0.055
Threshold uncertainty score0.961

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 studies0.0000.000
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 head0.034
GPT teacher head0.281
Teacher spread0.246 · 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