The role of environmental drivers in humpback whale distribution, movement and behavior: A review

JO Meynecke, J de Bie, JLM Barraqueta… - Frontiers in Marine …, 2021 - frontiersin.org
Humpback whales, Megaptera novaeangliae, are a highly migratory species exposed to a
wide range of environmental factors during their lifetime. The spatial and temporal …

[HTML][HTML] Patterns and drivers of macroalgal 'blue carbon'transport and deposition in near-shore coastal environments

A Bellgrove, PI Macreadie, MA Young… - Science of the Total …, 2023 - Elsevier
The role of macroalgae (seaweed) as a global contributor to carbon drawdown within
marine sediments–termed 'blue carbon'–remains uncertain and controversial. While studies …

Environmental variables and machine learning models to predict cetacean abundance in the Central-eastern Mediterranean Sea

R Maglietta, L Saccotelli, C Fanizza, V Telesca… - Scientific Reports, 2023 - nature.com
Abstract Although the Mediterranean Sea is a crucial hotspot in marine biodiversity, it has
been threatened by numerous anthropogenic pressures. As flagship species, Cetaceans are …

Divergent responses of highly migratory species to climate change in the California Current

N Lezama‐Ochoa, S Brodie, H Welch… - Diversity and …, 2024 - Wiley Online Library
Aim Marine biodiversity faces unprecedented threats from anthropogenic climate change.
Ecosystem responses to climate change have exhibited substantial variability in the …

Combining regional habitat selection models for large-scale prediction: Circumpolar habitat selection of Southern Ocean humpback whales

RR Reisinger, AS Friedlaender, AN Zerbini… - Remote Sensing, 2021 - mdpi.com
Machine learning algorithms are often used to model and predict animal habitat selection—
the relationships between animal occurrences and habitat characteristics. For broadly …

[HTML][HTML] Prognostic machine learning models for thermophysical characteristics of nanodiamond-based nanolubricants for heat pump systems

AM Bahman, E Pradeep, Z Said, P Sharma - Energy and AI, 2024 - Elsevier
Lubricants for compressor oil significantly enhance the energy efficiency and performance of
heat pump (HP) systems. This study compares prognostic machine learning (ML) models …

Identifying priority habitat for conservation and management of Australian humpback dolphins within a marine protected area

TN Hunt, SJ Allen, L Bejder, GJ Parra - Scientific Reports, 2020 - nature.com
Increasing human activity along the coast has amplified the extinction risk of inshore
delphinids. Informed selection and prioritisation of areas for the conservation of inshore …

Impact of historical pattern of human activities and natural environment on wetland in Heilongjiang River Basin

C Song, HS He, K Liu, H Du, J Krohn - Frontiers of Environmental Science …, 2023 - Springer
Mid and high latitude wetlands are becoming fragmented and losing ecosystem functions at
a much faster rate than many other ecosystems. This is due in part to increasing human …

Predicting bycatch of Chinook salmon in the Pacific hake fishery using spatiotemporal models

PL Shirk, K Richerson, M Banks… - ICES Journal of Marine …, 2023 - academic.oup.com
Fisheries bycatch is a global problem, and the ability to avoid incidental catch of non-target
species is important to fishermen, managers, and conservationists. In areas with sufficient …

[HTML][HTML] Locating ship strike risk hotspots for fin whale (Balaenoptera physalus) and sperm whale (Physeter macrocephalus) along main ship** lanes in the North …

F Grossi, E Lahaye, A Moulins, A Borroni… - Ocean & Coastal …, 2021 - Elsevier
Abstract The Pelagos Sanctuary is the only pelagic marine protected area in the
Mediterranean Sea, instituted for the conservation of cetaceans. Considering the number …