Results 81 to 90 of about 1,796,928 (262)
Architectural Organization of the African Elephant Diencephalon and Brainstem
The current study examined the organization of the diencephalon and brainstem of the African elephant (Loxodonta africana) - a region of the elephant brain that has not been examined for at least 50 years.
B. C. Maseko +3 more
semanticscholar +1 more source
Using 25–30 cm Umbra synthetic aperture radar (SAR) imagery combined with ground validation of our observations, we introduce a method to track the phenology of emperor penguins during the Antarctic winter. We successfully identified events in the breeding cycle, which were previously impossible to observe during the complete darkness of Antarctic ...
Michelle LaRue +12 more
wiley +1 more source
Investment, Employment, and Trade as Drivers of Income‐Based Inclusive Growth in Sub‐Saharan Africa
ABSTRACT This study investigates the drivers of income‐based inclusive economic growth in 14 Sub‐Saharan African countries from 2000 to 2023, focusing on investment, employment, trade openness, population growth, inflation, and foreign direct investment.
Evans Yeboah +3 more
wiley +1 more source
Monitoring GPS‐collared moose by ground versus drone approaches: efficiency and disturbance effects
Efficient wildlife management requires precise monitoring methods, for example to estimate population density, reproductive success, and survival. Here, we compared the efficiency of drone (equipped with a RGB camera) and ground approaches to detect and observe GPS‐collared female moose Alces alces and their calves. We also quantified how drone (n = 42)
Martin Mayer +8 more
wiley +1 more source
Mitochondrial DNA analysis of two southern African elephant populations
The modern view is that there are at most only two valid forms of the African elephant namely Loxodonta qfricana africana, the bush elephant, and L.a. cyclotis, the forest elephant (Ansell 1974; Meester et al. 1986).
M.F. Essop +2 more
doaj +1 more source
This research paper investigates the efficacy of leading machine learning (ML) models for detecting and identifying ungulate species in African savanna using nadir imagery from unmanned aerial vehicles (UAVs). Traditional aerial counting methods, while widely used, suffer from significant limitations in accuracy and precision, in part due to human ...
Paul Allin +4 more
wiley +1 more source
African Elephant Specialist Group report/Rapport du Groupe des Specialistes des Elephants d'Afrique
Reviews the CITES COP12 meeting in relation to African elephants, the completion of the draft text for the guidelines on elephant reintroduction and translocation, ongoing work culminating in publication of the 2002 African elephant status report ...
Holly Dublin
doaj +1 more source
Exploration of new wildlife surveying methodologies that leverage advances in sensor technology and machine learning has led to tentative research into the application of seismology techniques. This, most commonly, involves the deployment of a footfall trap – a seismic sensor and data logger customised for wildlife footfall.
Benjamin J. Blackledge +4 more
wiley +1 more source
What explains the superior cognitive abilities of the human brain compared to other, larger brains? Here we investigate the possibility that the human brain has a larger number of neurons than even larger brains by determining the cellular composition of
Suzana eHerculano-Houzel +7 more
doaj +1 more source
Outlines the background and development of the African Elephant Database and notes aspects associated with variation in data quality. Suggests that the variability if data quality does not negate the value of the database in population monitoring nor in its use in trend analysis and notes that it is important the AfESG work towards making the data ...
openaire +2 more sources

