Blount, D.,Minton, G.,Khan, Christin B.,Levenson, Jacob,Dulau, Violaine,Gero, S.,Parham, J.,Holmberg, Jason
Document presented to the Scientific Committee of the International Whaling Commission no. 330, 2020.
Abstract | Links | BibTeX | Tags: Arabian Sea, Artificial intelligence, Flukebook, humpback dolphin, Humpback Whale, Indian Ocean, matching, megaptera novaeangliae, methodology, Oman, photo identification, Sousa chinensis
@techreport{,
title = {Flukebook – Continuing growth and technical advancement for cetacean photo identification and data archiving, including automated fin, fluke, and body matching},
author = {Blount, D.,Minton, G.,Khan, Christin B.,Levenson, Jacob,Dulau, Violaine,Gero, S.,Parham, J.,Holmberg, Jason},
url = {https://arabianseawhalenetwork.org/wp-content/uploads/2020/06/sc_68b_ph_06_flukebook-developments-incl-aswn-and-indocet-1.pdf},
year = {2020},
date = {2020-01-01},
journal = {Paper presented to the meeting of the Scientific Committee of the International Whaling Commission},
number = {330},
pages = {13},
publisher = {IWC},
institution = {Document presented to the Scientific Committee of the International Whaling Commission},
abstract = {Flukebook (flukebook.org) is a non-profit, open source cetacean data archiving and
photo-identification tool developed under the larger Wildbook platform (wildbook.org) that uses
computer vision and machine learning to facilitate automated identification of individual animals
in the wild. In 2016, the IWC approved funding for the development of a regional data platform
for the Arabian Sea Whale Network (ASWN) to be implemented in collaboration with Wild Me
(wildme.org), the software and machine learning developers of Flukebook. This foundational
collaboration expanded the capabilities of Flukebook and served as the springboard for
subsequent years of growth in data and usage (e.g., by regional consortiums), as well as
significant technical improvements in 2019-2020 in the application of computer vision and
machine learning, specifically for North Atlantic and Southern right whales, humpback whales,
sperm whales, and multiple species of dolphins. Ongoing improvements in our community
support model and technical advances are bringing together industry, governmental, and NGO
collaborators in a global-scale platform for cetacean research.},
keywords = {Arabian Sea, Artificial intelligence, Flukebook, humpback dolphin, Humpback Whale, Indian Ocean, matching, megaptera novaeangliae, methodology, Oman, photo identification, Sousa chinensis},
pubstate = {published},
tppubtype = {techreport}
}
Flukebook (flukebook.org) is a non-profit, open source cetacean data archiving and
photo-identification tool developed under the larger Wildbook platform (wildbook.org) that uses
computer vision and machine learning to facilitate automated identification of individual animals
in the wild. In 2016, the IWC approved funding for the development of a regional data platform
for the Arabian Sea Whale Network (ASWN) to be implemented in collaboration with Wild Me
(wildme.org), the software and machine learning developers of Flukebook. This foundational
collaboration expanded the capabilities of Flukebook and served as the springboard for
subsequent years of growth in data and usage (e.g., by regional consortiums), as well as
significant technical improvements in 2019-2020 in the application of computer vision and
machine learning, specifically for North Atlantic and Southern right whales, humpback whales,
sperm whales, and multiple species of dolphins. Ongoing improvements in our community
support model and technical advances are bringing together industry, governmental, and NGO
collaborators in a global-scale platform for cetacean research.
photo-identification tool developed under the larger Wildbook platform (wildbook.org) that uses
computer vision and machine learning to facilitate automated identification of individual animals
in the wild. In 2016, the IWC approved funding for the development of a regional data platform
for the Arabian Sea Whale Network (ASWN) to be implemented in collaboration with Wild Me
(wildme.org), the software and machine learning developers of Flukebook. This foundational
collaboration expanded the capabilities of Flukebook and served as the springboard for
subsequent years of growth in data and usage (e.g., by regional consortiums), as well as
significant technical improvements in 2019-2020 in the application of computer vision and
machine learning, specifically for North Atlantic and Southern right whales, humpback whales,
sperm whales, and multiple species of dolphins. Ongoing improvements in our community
support model and technical advances are bringing together industry, governmental, and NGO
collaborators in a global-scale platform for cetacean research.
Mendez, M.,Subramaniam, A.,Collins, T.,Minton, G.,Baldwin, R.,Berggren, P.,Sa¨rnblad, A.,Amir, O. A.,Peddemors, V.,Karczmarski, L.,Guissamulo, A.,Rosenbaum, H.C.
Molecular ecology meets remote sensing: environmental drivers to population structure of humpback dolphins in the Western Indian Ocean Journal Article
In: Heredity, no. 404, pp. 1-13, 2011.
Abstract | BibTeX | Tags: Genetic differentiation, indopacific humpback dolphin, migration, population structure, remote sensing, sousa, Sousa chinensis
@article{,
title = {Molecular ecology meets remote sensing: environmental drivers to population structure of humpback dolphins in the Western Indian Ocean},
author = {Mendez, M.,Subramaniam, A.,Collins, T.,Minton, G.,Baldwin, R.,Berggren, P.,Sa¨rnblad, A.,Amir, O. A.,Peddemors, V.,Karczmarski, L.,Guissamulo, A.,Rosenbaum, H.C.},
year = {2011},
date = {2011-01-01},
journal = {Heredity},
number = {404},
pages = {1-13},
abstract = {Genetic analyses of population structure can be placed in
explicit environmental contexts if appropriate environmental
data are available. Here, we use high-coverage and highresolution
oceanographic and genetic sequence data to
assess population structure patterns and their potential
environmental influences for humpback dolphins in the
Western Indian Ocean. We analyzed mitochondrial DNA
data from 94 dolphins from the coasts of South Africa,
Mozambique, Tanzania and Oman, employing frequencybased
and maximum-likelihood algorithms to assess population
structure and migration patterns. The genetic data were
combined with 13 years of remote sensing oceanographic
data of variables known to influence cetacean dispersal and
population structure. Our analyses show strong and highly
significant genetic structure between all putative populations,
except for those in South Africa and Mozambique. Interestingly,
the oceanographic data display marked environmental
heterogeneity between all sampling areas and a degree of
overlap between South Africa and Mozambique. Our
combined analyses therefore suggest the occurrence of
genetically isolated populations of humpback dolphins in
areas that are environmentally distinct. This study highlights
the utility of molecular tools in combination with highresolution
and high-coverage environmental data to address
questions not only pertaining to genetic population structure,
but also to relevant ecological processes in marine species},
keywords = {Genetic differentiation, indopacific humpback dolphin, migration, population structure, remote sensing, sousa, Sousa chinensis},
pubstate = {published},
tppubtype = {article}
}
Genetic analyses of population structure can be placed in
explicit environmental contexts if appropriate environmental
data are available. Here, we use high-coverage and highresolution
oceanographic and genetic sequence data to
assess population structure patterns and their potential
environmental influences for humpback dolphins in the
Western Indian Ocean. We analyzed mitochondrial DNA
data from 94 dolphins from the coasts of South Africa,
Mozambique, Tanzania and Oman, employing frequencybased
and maximum-likelihood algorithms to assess population
structure and migration patterns. The genetic data were
combined with 13 years of remote sensing oceanographic
data of variables known to influence cetacean dispersal and
population structure. Our analyses show strong and highly
significant genetic structure between all putative populations,
except for those in South Africa and Mozambique. Interestingly,
the oceanographic data display marked environmental
heterogeneity between all sampling areas and a degree of
overlap between South Africa and Mozambique. Our
combined analyses therefore suggest the occurrence of
genetically isolated populations of humpback dolphins in
areas that are environmentally distinct. This study highlights
the utility of molecular tools in combination with highresolution
and high-coverage environmental data to address
questions not only pertaining to genetic population structure,
but also to relevant ecological processes in marine species
explicit environmental contexts if appropriate environmental
data are available. Here, we use high-coverage and highresolution
oceanographic and genetic sequence data to
assess population structure patterns and their potential
environmental influences for humpback dolphins in the
Western Indian Ocean. We analyzed mitochondrial DNA
data from 94 dolphins from the coasts of South Africa,
Mozambique, Tanzania and Oman, employing frequencybased
and maximum-likelihood algorithms to assess population
structure and migration patterns. The genetic data were
combined with 13 years of remote sensing oceanographic
data of variables known to influence cetacean dispersal and
population structure. Our analyses show strong and highly
significant genetic structure between all putative populations,
except for those in South Africa and Mozambique. Interestingly,
the oceanographic data display marked environmental
heterogeneity between all sampling areas and a degree of
overlap between South Africa and Mozambique. Our
combined analyses therefore suggest the occurrence of
genetically isolated populations of humpback dolphins in
areas that are environmentally distinct. This study highlights
the utility of molecular tools in combination with highresolution
and high-coverage environmental data to address
questions not only pertaining to genetic population structure,
but also to relevant ecological processes in marine species
Baldwin, Robert M.,Collins, Tim,Van Waerebeek, Koen,Minton, Gianna
The Indian Ocean humpback dolphin, Journal Article
In: International Whaling Commission, Scientific Commitee Document SC/54/SM6. Cambridge, UK., no. 318, pp. 1-16, 2002.
BibTeX | Tags: Oman, Review, Sousa chinensis, Strandings
@article{,
title = {The Indian Ocean humpback dolphin, },
author = {Baldwin, Robert M.,Collins, Tim,Van Waerebeek, Koen,Minton, Gianna},
year = {2002},
date = {2002-01-01},
journal = {International Whaling Commission, Scientific Commitee Document SC/54/SM6. Cambridge, UK.},
number = {318},
pages = {1-16},
keywords = {Oman, Review, Sousa chinensis, Strandings},
pubstate = {published},
tppubtype = {article}
}
Roberts, T.J.
The mammals of Pakistan: Revised edition Book Chapter
In: no. 206, pp. 525, Oxford University Press, 1997.
BibTeX | Tags: Arabian Sea, Delphinus, Finless Porpoise, Humpback Whale, Indus River Dolphin, Marine Dolphins, Pakistan, Sousa chinensis, tursiops, whales
@inbook{,
title = {The mammals of Pakistan: Revised edition},
author = {Roberts, T.J.},
year = {1997},
date = {1997-01-01},
number = {206},
pages = {525},
publisher = {Oxford University Press},
keywords = {Arabian Sea, Delphinus, Finless Porpoise, Humpback Whale, Indus River Dolphin, Marine Dolphins, Pakistan, Sousa chinensis, tursiops, whales},
pubstate = {published},
tppubtype = {inbook}
}