MétaCan
Menu
Back to cohort

Deforestation in Costa Rica: A Quantitative Analysis Using Remote Sensing Imagery<sup>1</sup>

2001· article· en· W4255878288 on OpenAlex
Arturo Sánchez‐Azofeifa, Robert C. Harriss, David L. Skole

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueBiotropica · 2001
Typearticle
Languageen
FieldEnvironmental Science
TopicConservation, Biodiversity, and Resource Management
Canadian institutionsUniversity of Alberta
FundersNational Aeronautics and Space Administration
KeywordsThematic MapperGeographyForestryDeforestation (computer science)Forest coverForest fragmentationFragmentation (computing)Land coverPhysical geographySatellite imageryEcologyRemote sensingLand useBiodiversityBiology

Abstract

fetched live from OpenAlex

ABSTRACT Accurate estimates of forest cover and forest fragmentation are critical for developing countries such as Costa Rica, which holds four to five percent of the world's plant and bird species. We estimated forest cover for Costa Rica using Landsat 5 Thematic Mapper satellite scenes acquired between 1986 and 1991. In 1991, 29 percent ( ca 14,000 km 2 ) of the land cover of Costa Rica was closed forest cover; of that forested area, ca 30 percent is protected by national conservation policies. Forest loss in a study area representing ca 50 percent of Costa Rica's territory during a five‐year period (1986–1991) was 2250 km 2 , and the estimated deforestation rate was ca 450 km 2 /yr, or ca 4.2 percent/yr, of remaining forest cover. Forests are almost completely eliminated from the Tropical Moist Forest and Premontane Moist Forest life zones, and the level of fragmentation of remaining forests may be more advanced than previously thought. RESUMES La obtención de estimaciones precisas de la cobertura forestal y su nivel de fragmentación es crítica para la conservatión de la biodiversidad. Costa Rica contiene en su territorio nacional entre el cuatro y cinco por ciento de todas las especies de plantas y aves del mundo. Este estudio provee una estimatión precisa de la cobertura nacional forestal del país y su distribution a nivel ecológico basada en imágenes de satélite adquiridas entre 1986 y 1991 por el Trazador Temático Landsat 5. Para 1991, el país tenía una cobertura forestal de bosque perennifolio del 29 por ciento (ca 14,000 km2); el 71 por ciento de este bosque carecía de protectión mientras que el 29 por ciento restante está protegido por el Sistema Nacional de áreas de Conservación. La pérdida total de bosque en el area de estudio, durante un periodo de cinco años (1986‐1991) y la cual representa ca 50 por ciento del territorio nacional, rue de 2250 km2. La tasa de deforestatión estimada es de ca 450 km2 por año, o ca 4.2 por ciento anual. El proceso de deforestatión tropical ha eliminado casi completamente los bosques húmedo tropical y húmedo premontano del país. Los resultados de este trabajo sugieren que el nivel de fragmentación de los bosques costarricenses puede ser mas grande de lo que se habiá pensado.

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)0.000
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 score0.313
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.029
GPT teacher head0.251
Teacher spread0.223 · 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