Results 51 to 60 of about 4,156 (127)

A Proposed Method for Assessing the Spatio-Temporal Distribution of Carcharhinus melanopterus (Quoy and Gaimard, 1824) in Shallow Waters Using a UAV: A Study Conducted in Koh Tao, Thailand

open access: yesDiversity
In this study, we propose a method for assessing the temporal and spatial distribution of Carcharhinus melanopterus in shallow waters using unmanned aerial vehicles (UAVs).
Andrea Di Tommaso   +4 more
doaj   +1 more source

Vulnerability of tropical fish communities across depth in the central Indian Ocean

open access: yesConservation Biology, Volume 39, Issue 6, December 2025.
Abstract Coral reefs and their fish communities below scuba diving depth (>30 m), in mesophotic coral ecosystems (MCEs) (∼30–150 m), in rariphotic (150–300 m), and in upper bathyal waters (300–500 m) are often underexplored, especially in the Indian Ocean.
Paris V. Stefanoudis   +12 more
wiley   +1 more source

Taxonomic assessment of sharks occurring in Pakistan (northern Arabian Sea)

open access: yesThe European Zoological Journal
We described the Sharks of Pakistan on the basis of external morphology represented by 41 species belonging to 10 families. Family Pseudocarchariidae (Pseudocarcharias kamoharai), family Alopidae (Alopias pelgicus, A.
P. J. A. Siddiqui, A. Javed
doaj   +1 more source

OCCURRENCE STUDY OF BLACKTIP REEF SHARK (Carcharhinus melanopterus) IN THE WATERS OF GILI PETELU, EAST LOMBOK DISTRICT

open access: yesJurnal Teknologi Perikanan dan Kelautan
Gili Petelu is one of the aggregation sites for marine species such as blacktip reef sharks. This study aims to determine the habitat characteristics of blacktip reef sharks in the waters of Gili Petelu, East Lombok Regency.
Rahman Jayawangsa   +3 more
doaj   +1 more source

Mycotretus melanopterus Lacordaire 1842

open access: yes, 2023
182. Mycotretus melanopterus Lacordaire, 1842 Mycotretus melanopterus Lacordaire, 1842: 162. Type locality: “ Colombie ”. Mycotretus xanthosomus Lacordaire, 1842: 162 (Fig. 37F). Type locality: “ Colombie ”. Mycotretus melanopterus – Gemminger &
Lopes-Andrade, Cristiano   +2 more
core   +1 more source

First record of albinism in the blacktip reef shark Carcharhinus melanopterus from Malabar coast [PDF]

open access: yes, 2011
Albinism is lack of pigmentation caused by an enzyme deficiency involving the metabolism of melanin during prenatal development. Among teleost fishes, albino individuals have been reported in numerous species, but in elasmobranchs it is rare.
Manojkumar, P P
core   +1 more source

DNA Divers: Volunteer‐based eDNA capture for local and global marine biodiversity monitoring

open access: yesMethods in Ecology and Evolution, Volume 16, Issue 10, Page 2431-2447, October 2025.
Abstract Volunteer‐based biodiversity recording is a powerful source of scalable data yet to be used to its full potential by the scientific community. Coastal ecosystems are varied and diverse, making it difficult for managers to identify flexible methods for monitoring biological components.
Erika F. Neave   +20 more
wiley   +1 more source

Spatial and temporal analysis of juvenile blacktip reef shark (Carcharhinus melanopterus) demographies identifies critical habitats [PDF]

open access: yes
Reef shark species have undergone sharp declines in recent decades, as they inhabit coastal areas, making them an easy target in fisheries (i.e., sharks are exploited globally for their fins, meat, and liver oil) and exposing them to other threats (e.g.,
van Loon, Emiel   +4 more
core   +2 more sources

Carcharhinus de Blainville 1816

open access: yes, 2019
Genus Carcharhinus de Blainville, 1816 Type species Carcharhinus melanopterus Quoy & Gaimard, 1824, Recent.Published as part of Ebersole, Jun A., Cicimurri, David J.
Cicimurri, David J.   +2 more
core   +1 more source

Zero‐shot shark tracking and biometrics from aerial imagery

open access: yesMethods in Ecology and Evolution, Volume 16, Issue 9, Page 2023-2035, September 2025.
Abstract The recent widespread adoption of drones for studying marine animals provides opportunities for deriving biological information from aerial imagery. The large scale of imagery data acquired from drones is well suited for machine learning (ML) analysis.
Chinmay K. Lalgudi   +4 more
wiley   +1 more source

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