[HTML][HTML] Perspectives in machine learning for wildlife conservation
Inexpensive and accessible sensors are accelerating data acquisition in animal ecology.
These technologies hold great potential for large-scale ecological understanding, but are …
These technologies hold great potential for large-scale ecological understanding, but are …
Learning and animal movement
Integrating diverse concepts from animal behavior, movement ecology, and machine
learning, we develop an overview of the ecology of learning and animal movement …
learning, we develop an overview of the ecology of learning and animal movement …
Defining an epidemiological landscape that connects movement ecology to pathogen transmission and pace‐of‐life
Pathogen transmission depends on host density, mobility and contact. These components
emerge from host and pathogen movements that themselves arise through interactions with …
emerge from host and pathogen movements that themselves arise through interactions with …
Classifying circumnutation in pea plants via supervised machine learning
Climbing plants require an external support to grow vertically and enhance light acquisition.
Climbers that find a suitable support demonstrate greater performance and fitness than …
Climbers that find a suitable support demonstrate greater performance and fitness than …
Tracking seabirds for conservation and marine spatial planning
In the past three decades scientists have been equip** free-living seabirds with bio-
logging devices to provide information about their behaviour in unprecedented detail …
logging devices to provide information about their behaviour in unprecedented detail …
A review of supervised learning methods for classifying animal behavioural states from environmental features
Accurately predicting behavioural modes of animals in response to environmental features
is important for ecology and conservation. Supervised learning (SL) methods are …
is important for ecology and conservation. Supervised learning (SL) methods are …
Markov-switching decision trees
Decision trees constitute a simple yet powerful and interpretable machine learning tool.
While tree-based methods are designed only for cross-sectional data, we propose an …
While tree-based methods are designed only for cross-sectional data, we propose an …
Leveraging big data to uncover the eco-evolutionary factors sha** behavioural development
Map** the eco-evolutionary factors sha** the development of animals' behavioural
phenotypes remains a great challenge. Recent advances in 'big behavioural data'research …
phenotypes remains a great challenge. Recent advances in 'big behavioural data'research …
Sensitivity of Erosion‐Rate in Permafrost Landscapes to Changing Climatic and Environmental Conditions Based on Lake Sediments From Northwestern Alaska
Erosion of landscapes underlaid by permafrost can transform sediment and nutrient fluxes,
surface and subsurface hydrology, soil properties, and rates of permafrost thaw, thus …
surface and subsurface hydrology, soil properties, and rates of permafrost thaw, thus …
[HTML][HTML] Open-source, environmentally dynamic machine learning models demonstrate behavior-dependent utilization of mixed-use landscapes by jaguars (Panthera …
Understanding how wide-ranging animals, such as large carnivores, respond to a dynamic
environment is central to landscape and movement ecology and critical for applied …
environment is central to landscape and movement ecology and critical for applied …