Zobrazeno 1 - 10 of 25 pro vyhledávání: '"Grant R. W. Humphries"'
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Akademický článek
Predicting the Foraging Habitats of Sympatrically Breeding Gadfly Petrels in the South Pacific Ocean
Autor: Luke R. Halpin, Rowan Mott, Thomas A. Clay, Grant R. W. Humphries, Trudy A. Chatwin, Nicholas Carlile, Rohan H. Clarke
Publikováno v: Frontiers in Marine Science, Vol 9 (2022)
Gadfly petrels (genus Pterodroma) are one of the most threatened groups of birds. They are exceptionally well adapted to forage over enormous areas to maximize chances of encountering prey. Their wide-ranging travel, extensive use of oceanic habitats
Externí odkaz: https://doaj.org/article/213033f6cbf649808d0846596d485a41
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3
Counting animals in aerial images with a density map estimation model
Autor: Yifei Qian, Grant R. W. Humphries, Philip N. Trathan, Andrew Lowther, Carl R. Donovan
Publikováno v: Ecology and Evolution. 13
Funding: WWF (UK) supported PNT under grant GB095701, which also provided funds to develop the training datasets. Animal abundance estimation is increasingly based on drone or aerial survey photography. Manual postprocessing has been used extensively
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b907c52a0ea59ff3cab05d849a1a1cc
https://doi.org/10.1002/ece3.9903
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5
Using Forecasting Methods to Incorporate Social, Economic, and Political Considerations Into Marine Protected Area Planning
Autor: Grant Murray, Katharina Teschke, Natalie C. Ban, Alistair Dunn, Jefferson T. Hinke, Philip N. Trathan, David Gill, Seth T. Sykora-Bodie, Pål Skogrand, Christopher D. Jones, Javier Arata, Grant R. W. Humphries, Jorge G. Álvarez-Romero, Dirk Welsford
Publikováno v: Frontiers in Marine Science, Vol 8 (2021)
EPIC3Frontiers in Marine Science
As the global environmental crisis grows in scale and complexity, conservation professionals and policymakers are increasingly called upon to make decisions despite high levels of uncertainty, limited resources, and insufficient data. Global efforts
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::238226697c8727a6b9fdfb273f6790d3
https://www.frontiersin.org/articles/10.3389/fmars.2021.669135/full
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6
The Potential of Satellite Imagery for Surveying Whales
Autor: Hannah C. Cubaynes, Caroline Höschle, Penny Clarke, Grant R. W. Humphries, Alex Borowicz
Publikováno v: Sensors, Vol 21, Iss 963, p 963 (2021)
Sensors (Basel, Switzerland)
The emergence of very high-resolution (VHR) satellite imagery (less than 1 m spatial resolution) is creating new opportunities within the fields of ecology and conservation biology. The advancement of sub-meter resolution imagery has provided greater
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a0ec4d267ddc3e1203abff02af6f9221
https://www.mdpi.com/1424-8220/21/3/963
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Aerial-trained deep learning networks for surveying cetaceans from satellite imagery
Autor: Alex Borowicz, Caroline Höschle, Georg Nehls, Grant R. W. Humphries, Vladislav Kosarev, Heather J. Lynch, Hieu Le
Publikováno v: PLoS ONE
PLoS ONE, Vol 14, Iss 10, p e0212532 (2019)
Most cetacean species are wide-ranging and highly mobile, creating significant challenges for researchers by limiting the scope of data that can be collected and leaving large areas un-surveyed. Aerial surveys have proven an effective way to locate a
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35fb51d5c762932907497ce8c526d794
http://europepmc.org/articles/PMC6772036
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8
Predicting the future is hard and other lessons from a population time series data science competition
Autor: Peter Bull, Ambarish Ganguly, Thomas Bolton, Heather J. Lynch, Benjamin Carrion, Grant R. W. Humphries, Christian Che-Castaldo, Greg Lipstein, Aharon Ravia
Publikováno v: Ecological Informatics. 48
Population forecasting, in which past dynamics are used to make predictions of future state, has many real-world applications. While time series of animal abundance are often modeled in ways that aim to capture the underlying biological processes inv
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::878fb3d25fc68102163ba60a4084616f
http://ora.ox.ac.uk/objects/uuid:
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9
Breaking Away from ‘Traditional’ Uses of Machine Learning: A Case Study Linking Sooty Shearwaters (Ardenna griseus) and Upcoming Changes in the Southern Oscillation Index
Autor: Grant R. W. Humphries
Publikováno v: Machine Learning for Ecology and Sustainable Natural Resource Management ISBN: 9783319969763
Previous work has shown that sooty shearwater (Puffinus griseus) harvest data are able to predict shifts in the Southern Oscillation Index (SOI) by approximately 4–14 months. In this study, the mechanisms of this relationship are examined. The ocea
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ea8def2d0d55caf65702c8e9b207d913
https://doi.org/10.1007/978-3-319-96978-7_13
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10
How the Internet Can Know What You Want Before You Do: Web-Based Machine Learning Applications for Wildlife Management
Autor: Grant R. W. Humphries
Publikováno v: Machine Learning for Ecology and Sustainable Natural Resource Management ISBN: 9783319969763
Web-based decision support tools that use machine learning algorithms are becoming increasingly important in our technology driven society. This is because fast access to the most recent or best information allows managers to make efficient, fact-dri
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::9db53a342d30f47c4234800e8677f2b9
https://doi.org/10.1007/978-3-319-96978-7_17
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