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Record W7000961950

Historical Perspective, Distribution, Ecology and Population Genetics of Saltwater Crocodile (Crocodylus porosus Schneider, 1801) in Sarawak, Malaysian Borneo

2019· dissertation· en· W7000961950 on OpenAlexaboutno aff

Bibliographic record

VenueUnimas Institutional Repository (Universiti Malaysia Sarawak) · 2019
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicPaleontology and Evolutionary Biology
Canadian institutionsnot available
Fundersnot available
KeywordsCrocodilePopulationFishingCrocodylusQuarter (Canadian coin)Population size
DOInot available

Abstract

fetched live from OpenAlex

This study is designed to gather infonnation on historical exploitation and ongoing HCC; recent distribution and ecology of crocodile and genetic relationship of crocodile population in Sarawak, to aid sustainable crocodile management and finding solutions for mitigating the HCC. Historical data saw a connection between the exploitation of crocodile with decreasing trend ofHCC in Sarawak from the Rajah Brooke era (1900 - 1941) until the postwar period (1946 - 1979), and an increasing trend ofHCC from 1980 until 2017 in response
\nto the recovery of the animal populations. Since 1900, crocodile attacks had been occurred in 22 major river basins (RB) in Sarawak, suggesting that the reptile has been widely dispersed throughout all major river basins in the state. For 118 years (1900 - 2017), the
\nhighest number of crocodile attacks were recorded in Lupar RB (22.2%) and the attacks had happened up to the inland areas of Belaga and Pelagus in Rajang RB. Further analysis of incidents show crocodile attacks were associated with the human activities pattern, where
\nmore attacks involved male victims (84.4%) and adults from age 31 to 40 years old (19.3%). The data also revealed that crocodile attacks in Sarawak could happen anytime regardless of the time, month, season, lunar cycle or tidal. However, more attacks were recorded during the daylight, in the months of March and April, during the Northeast monsoon, at the nights of the first quarter of the lunar cycle and at the time of high tide. Furthermore, fishing (25.2%) and bathing (24.4%) possess the highest risk of crocodile attack in Sarawak, clearly
\nshowed that crocodiles are more likely to attack when the victim is in water. Crocodile survey in selected tributaries in Rajang RB showed the distribution of the reptiles throughout the river basin with higher crocodile density at the lower region, the highest density was in
\nIgan River (1.37 individuals/Ion); while in the middle and upper regions had recorded III • relatively low density with the lowest density recorded was in Katibas River (0.06 individuals/km) and no crocodile was spotted in Kanowit River. Four out of eight surveyed rivers in Rajang RB recorded increase in the density of crocodile compare to previous survey suggesting that the crocodile population in the river basin is experiencing recovery. The presence of crocodile in different regions (lower, middle and upper) of Rajang RB indicated that C. porosus in Sarawak live in wide range of habitats; from large salt water river system and small tidal tributaries (near to estuary) in lower region into hypo-saline or fresh water non-tidal tributaries in the middle and upper regions. Variation in term of density and distribution of crocodile between the different regions are mainly influenced by the saline characteristic of the river, habitats and the abundance of food sources for crocodile. Based on the analysis of DNA micro satellite sequence data, distinctive subpopulations of C. porosus according to geographical area (river basin) could be observed. High gene flow (Nm) among the crocodile subpopulations suggests frequent movements of the reptile happen
\nacross the river basins throughout Sarawak. In general, populations of C. porosus in Sarawak are experiencing expansion as supported by the mismatch distribution and evolutionary neutrality test data, suggesting that populations of crocodile in Sarawak are panmictic
\npopulation. The findings of the present study imply that increasing of crocodile attacks is associated with the recovery and increased distribution of the reptile in Sarawak, thus crocodile management should emphasis on mitigating HCC and simultaneously continue the efforts for conservation of crocodile and its habitat.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.018
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.006
GPT teacher head0.201
Teacher spread0.194 · 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.

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
Published2019
Admission routes1
Has abstractyes

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