Manta Matcher

Last updated
Manta Matcher
Legal statusnonprofit
PurposeOnline citizen science database to identify and track manta rays
Parent organization
Marine Megafauna Foundation, WildMe
Website https://www.mantamatcher.org

Manta Matcher is a global online database for manta rays. [1]

Contents

Creation

It is one of the Wildbook Web applications developed by Wild Me, a 501(c)(3) not-for-profit organization in the United States, and was created in partnership with Andrea Marshall of the Marine Megafauna Foundation.

Oceanic manta ray being photographed Giant oceanic manta ray.jpg
Oceanic manta ray being photographed

Manta rays have unique spot patterning on their undersides, which allows for individual identification. [2] Scuba divers around the world can photograph mantas [3] and upload their manta identification photographs to the Manta Matcher website, [4] supporting global research and conservation efforts.

Identification of rays

Manta Matcher is a pattern-matching software that eases researcher workload; key spot pattern features are extracted using a scale-invariant feature transform (SIFT) algorithm, [5] which can cope with complications presented by highly variable spot patterns and low contrast photographs.

Purpose and research supported

This citizen science tool is free to use by researchers worldwide. Manta Matcher represents a global initiative to centralize manta ray sightings and facilitate research on these vulnerable species through collaborative studies, including the cross-referencing of regional databases. [6]

Manta Matcher has already supported research [7] that contributed to the listing of reef mantas (Manta alfredi) on Appendix 1 of the Convention on Migratory Species in November 2014. [8]

Related Research Articles

<span class="mw-page-title-main">Manta ray</span> Genus of fishes

Manta rays are large rays belonging to the genus Mobula. The larger species, M. birostris, reaches 7 m (23 ft) in width, while the smaller, M. alfredi, reaches 5.5 m (18 ft). Both have triangular pectoral fins, horn-shaped cephalic fins and large, forward-facing mouths. They are classified among the Myliobatiformes and are placed in the family Myliobatidae. They have the largest brains and brain to body ratio of all fish, and can pass the mirror test.

<span class="mw-page-title-main">Semionotiformes</span> Extinct order of fishes

Semionotiformes is an order of ray-finned fish known from the Middle Triassic (Anisian) to the Late Cretaceous (Maastrichtian). Their closest living relatives are gars (Lepisosteidae), with both groups belonging to the clade Ginglymodi within the Holostei. The group includes both freshwater (Semionotidae) and marine adapted forms. Many members of the family Macrosemiidae, had elongated dorsal fins, often associated with an adjacent area of skin which was free of scales. These fins were likely undulated for use in precision swimming. The body morphology of macrosemiids suggests that they were slow swimmers that were capable of maneuvering around complex topography, such as reef environments.

The scale-invariant feature transform (SIFT) is a computer vision algorithm to detect, describe, and match local features in images, invented by David Lowe in 1999. Applications include object recognition, robotic mapping and navigation, image stitching, 3D modeling, gesture recognition, video tracking, individual identification of wildlife and match moving.

Computational genomics refers to the use of computational and statistical analysis to decipher biology from genome sequences and related data, including both DNA and RNA sequence as well as other "post-genomic" data. These, in combination with computational and statistical approaches to understanding the function of the genes and statistical association analysis, this field is also often referred to as Computational and Statistical Genetics/genomics. As such, computational genomics may be regarded as a subset of bioinformatics and computational biology, but with a focus on using whole genomes to understand the principles of how the DNA of a species controls its biology at the molecular level and beyond. With the current abundance of massive biological datasets, computational studies have become one of the most important means to biological discovery.

Automated species identification is a method of making the expertise of taxonomists available to ecologists, parataxonomists and others via digital technology and artificial intelligence. Today, most automated identification systems rely on images depicting the species for the identification. Based on precisely identified images of a species, a classifier is trained. Once exposed to a sufficient amount of training data, this classifier can then identify the trained species on previously unseen images.

Population genomics is the large-scale comparison of DNA sequences of populations. Population genomics is a neologism that is associated with population genetics. Population genomics studies genome-wide effects to improve our understanding of microevolution so that we may learn the phylogenetic history and demography of a population.

<span class="mw-page-title-main">Wildlife photo-identification</span> Animal tracking method

Photo-identification is a technique used to identify and track individuals of a wild animal study population over time. It relies on capturing photographs of distinctive characteristics such as skin or pelage patterns or scars from the animal. In cetaceans, the dorsal fin area and tail flukes are commonly used.

<span class="mw-page-title-main">Animal identification</span>

Animal identification using a means of marking is a process done to identify and track specific animals. It is done for a variety of reasons including verification of ownership, biosecurity control, and tracking for research or agricultural purposes.

<span class="mw-page-title-main">Memorandum of Understanding on the Conservation of Migratory Sharks</span>

The Memorandum of Understanding on the Conservation of Migratory Sharks is an international instrument for the conservation of migratory species of sharks. It was founded under the auspices of the Convention on the Conservation of Migratory Species of Wild Animals.

<span class="mw-page-title-main">Giant oceanic manta ray</span> Species of cartilaginous fish

The giant oceanic manta ray, giant manta ray, or oceanic manta ray is a species of ray in the family Mobulidae, and the largest type of ray in the world. It is circumglobal and is typically found in tropical and subtropical waters, but can also be found in temperate waters. Until 2017, the species was classified in the genus Manta, along with the smaller reef manta ray. DNA testing revealed that both species are more closely related to rays of the genus Mobula than previously thought. As a result, the giant manta was renamed as Mobula birostris to reflect the new classification.

<span class="mw-page-title-main">Reef manta ray</span> Mobula alfredi; second largest living species of ray

The reef manta ray is a species of ray in the family Mobulidae, one of the largest rays in the world. Among generally recognized species, it is the second-largest species of ray, only surpassed by the giant oceanic manta ray.

<span class="mw-page-title-main">Andrea Marshall</span> American marine biologist

Andrea Marshall is a marine biologist known for wildlife conservation and research on large marine animals like manta rays & whale sharks. Marshall is co-founder and a principal scientist of the Marine Megafauna Foundation, where she leads many of MMF’s projects around the world.

iSpot Web-based citizen science biodiversity project

iSpot is a website developed and hosted by the Open University with funding from the Open Air Laboratories (OPAL) network with an online community intended to connect nature enthusiasts of all levels.

SciCrunch is a collaboratively edited knowledge base about scientific resources. It is a community portal for researchers and a content management system for data and databases. It is intended to provide a common source of data to the research community and the data about Research Resource Identifiers (RRIDs), which can be used in scientific publications. After starting as a pilot of two journals in 2014, by 2022 over 1,000 journals have been using them and over half a million RRIDs have been quoted in the scientific literature. In some respect, it is for science and scholarly publishing, similar to what Wikidata is for Wikimedia Foundation projects. Hosted by the University of California, San Diego, SciCrunch was also designed to help communities of researchers create their own portals to provide access to resources, databases and tools of relevance to their research areas

<span class="mw-page-title-main">Cryogenic electron microscopy</span> Form of transmission electron microscopy (TEM)

Cryogenic electron microscopy (cryoEM) is a cryomicroscopy technique applied on samples cooled to cryogenic temperatures. For biological specimens, the structure is preserved by embedding in an environment of vitreous ice. An aqueous sample solution is applied to a grid-mesh and plunge-frozen in liquid ethane or a mixture of liquid ethane and propane. While development of the technique began in the 1970s, recent advances in detector technology and software algorithms have allowed for the determination of biomolecular structures at near-atomic resolution. This has attracted wide attention to the approach as an alternative to X-ray crystallography or NMR spectroscopy for macromolecular structure determination without the need for crystallization.

A roadkill hotspot or blackspot is an accumulation of roadkill along a given length of roadway with significantly more wildlife-vehicle collisions than expected to occur by chance, based on a normal distribution. Decision-makers can then authorize the construction of roadkill mitigation infrastructure based on roadkill hotspot locations, prioritizing those with the most roadkill in number or those for a particular target species for conservation. Roadkill hotspots vary spatially and temporally, depending on the scale, duration of monitoring, and both the species and season in question. They can be calculated using roadkill survey data; GPS coordinates of roadkill collected by researchers and highway maintenance personnel, or increasingly, civilian-reported data. Additionally, roadkill hotspots can be projected by using a model to ascertain probable locations; models typically use existing wildlife abundance, distribution, and mitigation data combined with landscape variables and climatic data. Models are often used to determine the probable roadkill locations of ecologically sensitive animals or during the planning stages of a new road, it is noted that these locations may not align perfectly with sites of highest animal crossing attempts. Many academics stress the combined value of animal abundance and migration data with roadkill hotspots as a more assured way to ascertain the best locations to construct roadkill mitigation structures.

<span class="mw-page-title-main">Marine Megafauna Foundation</span> Marine research org on Mantas & Whale Sharks

The Marine Megafauna Foundation (MMF) is a marine biology research and conservation nonprofit known for discovering, researching, and protecting large marine animals including whale sharks, manta rays, sea turtles, whales, and dugongs.

Simon J Pierce is a marine biologist and conservationist known for discovering, studying, and protecting large marine animals such as whale sharks and manta rays. He is the co-founder and principal scientist of the Marine Megafauna Foundation.

Sharkbook is a global database for identifying and tracking sharks, particularly whale sharks, using uploaded photos and videos.In addition to identifying and tracking sharks, the site allows people to "adopt a shark" and get updates on specific animals.

References

  1. Town, Christopher; Marshall, Andrea; Nutthaporn, Sebastien (2013). "Manta Matcher: automated photographic identification of manta rays using keypoint features". Ecology and Evolution. 3 (7): 1902–1914. Bibcode:2013EcoEv...3.1902T. doi:10.1002/ECE3.587. PMC   3728933 . PMID   23919138.
  2. Marshall, A.D.; Dudgeon, C.L.; Bennett, M.B. (2011). "Size and structure of a photographically identified population of manta rays Manta alfredi in southern Mozambique". Marine Biology. 158 (5): 1111–1124. Bibcode:2011MarBi.158.1111M. doi:10.1007/s00227-011-1634-6. S2CID   86204140.
  3. "Photographing Mantas". mantamatcher.org.
  4. "Participate: Report an Encounter". mantamatcher.org.
  5. Town, Christopher; Marshall, Andrea; Nutthaporn, Sebastien (2013). "Manta Matcher: automated photographic identification of manta rays using keypoint features". Ecology and Evolution. 3 (7): 1902–1914. Bibcode:2013EcoEv...3.1902T. doi:10.1002/ECE3.587. PMC   3728933 . PMID   23919138.
  6. Steinhoff, Nane (2023-01-10). "First international migration of manta rays confirmed". Oceanographic. Retrieved 2023-02-09.
  7. Germanov, Elitza; Marshall, Andrea (2014). "Running the Gauntlet: regional movement patterns of Manta alfredi through a complex of parks and fisheries". PLOS ONE. 9 (10): e110071. Bibcode:2014PLoSO...9k0071G. doi: 10.1371/journal.pone.0110071 . PMC   4206290 . PMID   25337865.
  8. "31 Species of Migratory Animals Given UN Protection". Sydney Morning Herald. November 10, 2014.