Researchers have devised a way to accurately estimate the weight of free-living whales using only aerial images taken by drones. By measuring the body length, width and height of free-living southern right whales photographed by drones, researchers were able to develop a model that accurately calculated the body volume and mass of the whales.
Because of their large size and aquatic life, previously the only way to obtain data on the body mass of whales was to weigh dead or stranded individuals.
The innovative method can be used to learn more about the physiology and ecology of whales. “Knowing the body mass of free-living whales opens up new avenues of research. We will now be able to look at the growth of known aged individuals to calculate their body mass increase over time and the energy requirements for growth. We will also be able to look at the daily energy requirements of whales and calculate how much prey they need to consume.” said Assistant Professor Fredrik Christiansen from Aarhus Institute of Advanced Studies in Denmark and lead author of the study. Continue reading →
This month’s issue contains three Applications articles and two Open Access articles, all of which are freely available.
– CODYN: New analytical tools applied to long-term data demonstrate that ecological communities are highly dynamic over time. The R package, library(“codyn”), helps ecologists implement these tools and gain insi–ghts into ecological community dynamics.
– Geometric Morphometrics: A tool for the R statistical environment that optimises the smoothing procedure for 3D surfaces used in Geometric Morphometrics.
– TRAPPER: Open source, multi-user software that facilitates analysis of videos and images, provides spatial filtering and web-mapping, allows flexible implementation of specific data collection protocols, and supports data re-use and (re)discovery.
This month’s issue contains two Applications articles and two Open Access articles, all of which are freely available.
– piecewiseSEM: A practical implementation of confirmatory path analysis for the R programming language. This package extends the method to all current (generalized) linear, (phylogenetic) least-square, and mixed effects models, relying on familiar R syntax. The article also includes two worked examples.
–RPANDA: An R package that implements model-free and model-based phylogenetic comparative methods for macroevolutionary analyses. It can be used to:
Characterize phylogenetic trees by plotting their spectral density profiles
Compare trees and cluster them according to their similarities
Identify and plot distinct branching patterns within trees
Compare the fit of alternative diversification models to phylogenetic trees
Estimate rates of speciation and extinction
Estimate and plot how these rates have varied with time and environmental variables