The dataset presents maps for the year-round habitat suitability of the fin whales (Balaenoptera physalus) in the Southern Ocean. These maps represent predictions from dynamic species distribution models using MaxEnt software. In these models, species visual observations were spatiotemporally matched with contemporaneous environmental conditions, predicting habitat suitability both in time and space. Models were evaluated on spatial- and temporal-block cross-validation, attempting to correct for spatial sampling bias. More details on the models and methods implemented are given in in El-Gabbas et al. 2021 (doi:10.3389/fpls.2021.629962). The dataset provides maps for the mean daily, weekly, and monthly habitat suitability between June 2002 a...
Machine learning algorithms are often used to model and predict animal habitat selection— the relati...
Understanding the dynamics of baleen whale distribution is essential to predict how environmental ch...
Machine learning algorithms are often used to model and predict animal habitat selection—the relatio...
The dataset presents maps for the year-round habitat suitability of the Antarctic minke whales (Bala...
The dataset presents maps for the year-round habitat suitability of the Antarctic blue whales (Balae...
Species distribution models (SDMs) relate species information to environmental conditions to predict...
Detailed information on cetacean distribution is crucial to identify large-scale conservation action...
Aim: Understanding the spatial ecology of endangered species is crucial to predicting habitat use a...
Understanding the dynamics of cetacean distribution in ecologically vulnerable regions is essential ...
Understanding cetacean distribution is essential for conservation planning and decision-making, part...
Aim Understanding the spatial ecology of endangered species is crucial to predicting habitat use a...
Aim Information on the spatio-temporal distribution of marine species is essential for developing...
Understanding and predicting the responses of wide-ranging marine predators such as cetaceans, seabi...
These animated videos represent the daily habitat suitability of Antarctic blue whales (ABWs, Balaen...
AbstractSeismic surveys are frequently a matter of concern regarding their potentially negative impa...
Machine learning algorithms are often used to model and predict animal habitat selection— the relati...
Understanding the dynamics of baleen whale distribution is essential to predict how environmental ch...
Machine learning algorithms are often used to model and predict animal habitat selection—the relatio...
The dataset presents maps for the year-round habitat suitability of the Antarctic minke whales (Bala...
The dataset presents maps for the year-round habitat suitability of the Antarctic blue whales (Balae...
Species distribution models (SDMs) relate species information to environmental conditions to predict...
Detailed information on cetacean distribution is crucial to identify large-scale conservation action...
Aim: Understanding the spatial ecology of endangered species is crucial to predicting habitat use a...
Understanding the dynamics of cetacean distribution in ecologically vulnerable regions is essential ...
Understanding cetacean distribution is essential for conservation planning and decision-making, part...
Aim Understanding the spatial ecology of endangered species is crucial to predicting habitat use a...
Aim Information on the spatio-temporal distribution of marine species is essential for developing...
Understanding and predicting the responses of wide-ranging marine predators such as cetaceans, seabi...
These animated videos represent the daily habitat suitability of Antarctic blue whales (ABWs, Balaen...
AbstractSeismic surveys are frequently a matter of concern regarding their potentially negative impa...
Machine learning algorithms are often used to model and predict animal habitat selection— the relati...
Understanding the dynamics of baleen whale distribution is essential to predict how environmental ch...
Machine learning algorithms are often used to model and predict animal habitat selection—the relatio...