Posts tagged with "species distribution modelling"
Giant manta ray distribution in the western North Atlantic Ocean
Species distribution modeling (SDM) as a tool to predict the probability of occurrence for giant manta rays in the western North Atlantic Ocean. The data from this study is based on occurrence records and decades of sighting data from OBIS and an array of other data sources. These distribution predictions will ultimately allow for better protection and conservation of the threatened giant manta ray.
Identifying relevant predictors for marine species distribution modelling with MarineSPEED
Bosch et al. (2017) showed that while temperature is a relevant predictor of global marine species distributions, considerable variation in predictor relevance is linked to the species distribution modelling (SDM) set-up. A standardized benchmark dataset (MarineSPEED) was created by combining records from OBIS and GBIF with environmental data from Bio-ORACLE and MARSPEC. Using this dataset, predictor relevance was analysed under different variations of SDMs for all combinations of predictors from eight correlation groups.
Use cases tagged with "species distribution modelling"
Identifying relevant predictors for marine species distribution modelling with MarineSPEED
Bosch et al. (2017) showed that while temperature is a relevant predictor of global marine species distributions, considerable variation in predictor relevance is linked to the species distribution modelling (SDM) set-up. A standardized benchmark dataset (MarineSPEED) was created by combining records from OBIS and GBIF with environmental data from Bio-ORACLE and MARSPEC. Using this dataset, predictor relevance was analysed under different variations of SDMs for all combinations of predictors from eight correlation groups.
Giant manta ray distribution in the western North Atlantic Ocean
Species distribution modeling (SDM) as a tool to predict the probability of occurrence for giant manta rays in the western North Atlantic Ocean. The data from this study is based on occurrence records and decades of sighting data from OBIS and an array of other data sources. These distribution predictions will ultimately allow for better protection and conservation of the threatened giant manta ray.