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Enregistrement W7000961950

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

2019· dissertation· en· W7000961950 sur OpenAlexaboutno aff

Notice bibliographique

RevueUnimas Institutional Repository (Universiti Malaysia Sarawak) · 2019
Typedissertation
Langueen
DomaineEarth and Planetary Sciences
ThématiquePaleontology and Evolutionary Biology
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCrocodilePopulationFishingCrocodylusQuarter (Canadian coin)Population size
DOInon disponible

Résumé

récupéré en direct d'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.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,018
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0010,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,006
Tête enseignante GPT0,201
Écart entre enseignants0,194 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2019
Routes d'admission1
Résumé présentoui

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