Lessons from Care of Whale Sharks in Public Aquariums

2021 ◽  
pp. 181-198
Author(s):  
Alistair D. M. Dove ◽  
Rui Matsumoto ◽  
Christian Schreiber ◽  
Kiyomi Murakumo ◽  
Christopher Coco ◽  
...  
Keyword(s):  
Whale Sharks

scholarly journals Regional movements of satellite‐tagged whale sharks Rhincodon typus in the Gulf of Aden

2021 ◽  
Author(s):  
Samantha Andrzejaczek ◽  
Michel Vély ◽  
Daniel Jouannet ◽  
David Rowat ◽  
Sabrina Fossette
Keyword(s):  
Gulf Of Aden ◽  
Rhincodon Typus ◽  
Whale Sharks

scholarly journals Diet of whale sharks Rhincodon typus inferred from stomach content and signature fatty acid analyses

2013 ◽  
Vol 493 ◽  
pp. 219-235 ◽  
Author(s):  
CA Rohner ◽  
LIE Couturier ◽  
AJ Richardson ◽  
SJ Pierce ◽  
CEM Prebble ◽  
...  
Keyword(s):  
Fatty Acid ◽  
Stomach Content ◽  
Rhincodon Typus ◽  
Whale Sharks

Predicting current and future global distributions of whale sharks

2014 ◽  
Vol 20 (3) ◽  
pp. 778-789 ◽  
Author(s):  
Ana M. M. Sequeira ◽  
Camille Mellin ◽  
Damien A. Fordham ◽  
Mark G. Meekan ◽  
Corey J. A. Bradshaw
Keyword(s):  
Whale Sharks

scholarly journals Spatial and temporal patterns of nature-based tourism interactions with whale sharks (Rhincodon typus) at Ningaloo Reef, Western Australia

2014 ◽  
Vol 148 ◽  
pp. 109-119 ◽  
Author(s):  
Douglas J. Anderson ◽  
Halina T. Kobryn ◽  
Brad M. Norman ◽  
Lars Bejder ◽  
Julian A. Tyne ◽  
...  
Keyword(s):  
Western Australia ◽  
Temporal Patterns ◽  
Spatial And Temporal Patterns ◽  
Rhincodon Typus ◽  
Ningaloo Reef ◽  
Whale Sharks

scholarly journals Sizing and scarring of whale shark (Rhincodon typus Smith, 1828) in the Cenderawasih Bay National Park

2021 ◽  
Vol 21 (3) ◽  
pp. 199-213
Author(s):  
Yusup A Jentewo ◽  
Roni Bawole ◽  
Tresia S Tururaja ◽  
Mudjirahayu Mudjirahayu ◽  
Zeth Parinding ◽  
...  
Keyword(s):  
National Park ◽  
The Body ◽  
Whale Shark ◽  
Gill Slit ◽  
Rhincodon Typus ◽  
Photo Identification ◽  
Dorsal Fin ◽  
Total Length ◽  
Whale Sharks ◽  
Photo Collection

This study aims to determine the total length and scar condition of the body of whale sharks (Rhincodon typus) in Cendrawasih Bay National Park (TNTC), Papua-Indonesia. Photo-identification was used to identify individuals of the whale shark R. typus based on spot patterns behind the last gill slit of each individual. Photo-identification was also used to determine the scar of the whale shark. The total length of whale sharks were estimated based on the length of a snorkeller (assumed to be 1.6 m) swimming alongside the whale shark. We identified 21 individuals of R. typus. Of these 21 individuals, 14 were new sightings and seven were re-sightings that have been recorded in the previous photo collection database. R. typus ranged in size from 2 to 5 m total length (average 3.78 m, ±0,86, N= 21). Based on their size, all individuals of whale shark were categorized as juvenile. 52% of R. typus identified had scars and 38 % were not and 10% were unknown. The majority of whale sharks had amputation (12 individuals) and abrasion (7 individuals) scars. Scars occurred most often on the caudal fin and dorsal fin, five and four individuals respectively. This information is useful for understanding potential threats and designing better management programmes for R. typus conservation in TNTC.

scholarly journals Analisis Dampak Ekonomi Wisata Hiu Paus Terhadap Pendapatan Masyarakat Batubarani Gorontalo

2016 ◽  
Vol 5 (2) ◽  
pp. 136
Author(s):  
Eduart Wolok
Keyword(s):  
Economic Impact ◽  
Direct Observation ◽  
High Category ◽  
Income Multiplier ◽  
Whale Sharks ◽  
The Impact

This study aims to determine the economic impact of Whale Sharks travel to revenue of Batubarani villagers in Gorontalo . This study was conducted in January-May 2016. Datacollection was done by direct observation using questionnaires . The economic impact wasanalyzed by using Keynesian Income Multiplier . The results showed that the impact of whalesharks travel to people's income Batubarani at the high category . Income Keynesian Multipliervalue is 1:52 , Type 1 Income Multiplier Ratio is 1.61 and Type 2 Income Multiplier Ratio is1.97. 

scholarly journals Evidence of residential area of whale sharks in Saleh Bay, West Nusa Tenggara

2021 ◽  
Vol 744 (1) ◽  
pp. 012018
Author(s):  
M F Farid ◽  
S Hariyadi ◽  
M M Kamal ◽  
H A Susanto
Keyword(s):  
Residential Area ◽  
Whale Sharks

scholarly journals presence of whale sharks based on oceanographic variations in Cenderawasih Bay National Park, Papua, Indonesia

2021 ◽  
Vol 22 (11) ◽  
Author(s):  
JAFRY FERDINAN Manuhutu ◽  
DEWA GEDE RAKA WIADNYA ◽  
ABU BAKAR SAMBAH ◽  
ENDANG YULI HERAWATI
Keyword(s):  
National Park ◽  
Additive Model ◽  
Environmental Parameters ◽  
Analysis Data ◽  
Current Speed ◽  
Habitat Modeling ◽  
Sea Surface ◽  
Observation Data ◽  
Whale Shark ◽  
Whale Sharks

Abstract. Manuhutu JF, Wiadnya DGR, Sambah AB, Herawati EY. 2021. The presence of whale sharks based on oceanographic variations in Cenderawasih Bay National Park, Papua, Indonesia. Biodiversitas 22: 4948-4955. Oceanographic factors have an important role in the study of estimating the distribution of fish resource habitats. Sea Surface Temperature (SST), Sea Surface Chlorophyll (SSC), Current Speed, Sea Surface Height (SSH), and bathymetry are important parameters that have been used in estimating the habitat of certain species. Through analyzing these environmental factors, research on the appearance and distribution of whale shark habitats in the Cenderawasih Bay National Park in Papua, Indonesia, utilized field observation data and satellite imagery. This study applied data on the presence of whale sharks and oceanographic parameter data from satellite recordings during 2019 – 2020. Analysis of the relationship and habitat modeling between the monthly presence of whale sharks and environmental parameters was carried out through the Generalized Additive Model (GAM) statistical approach and spatial analysis through the Geographic Information System approach. In the GAM analysis, data on the presence of whale sharks was used as a response variable. In contrast, the predictor variables consisted of SST, SSC, current speed, SSH, and bathymetric data. The results showed that the highest frequency of whale shark presence occurred in the transitional monsoon, with an average presence of 31.77 ± 4.00 %. The study also showed that all predictors showed a highly significant relationship (P < 0.001) to the number of whale sharks present. SST values range from 30.3 – 31.3 °C, SSC of 0.39 – 0.86 mg/L, the current speed of 0.46 – 0.65 m/s, SSH showed 0.63 to 1.00 cm, and bathymetry between 40 – 50 m . In the GAM model, the SST and SSC parameters were the two most important parameters that affect the presence of whale sharks, followed by SSHD, depth (bathymetry), and current parameters.

Sign in / Sign up

Export Citation Format

Share Document