In this post, the authors discuss the background and key concepts of the article, and changes in the field that have happened since the paper was published.
Terrestrial laser scanning (TLS) calculates 3D locations by measuring the speed of light between a transmitted laser pulse and its return. Firing hundreds of thousands of pulses per second, these instruments can represent the surroundings in detailed 3D, displaying them as virtual environments made up of high density points. The main applications of commercial instruments in the early 2000s were engineering or mining, but their application in natural forested environments was in its infancy. Forest ecosystems are structurally complex; clear reference points used to register multiple scans are rare and trees move due to wind creating artefacts in the data.
In January 2018, Methods in Ecology and Evolution launched a Policy on Publishing Code. The main objective of this policy is to make sure that high quality code is readily available to our readers. set out four key principles to help achieve this, as well as explaining what code outputs we publish, giving some examples of things that make it easier to review code, and giving some advice on how to store code once it’s been published.
This issue contains two Applications articles and three Open Access articles. These five papers are freely available to everyone, no subscription required.
–qfasar: A new R package for diet estimation using quantitative fatty acid signature analysis methods. It also provides functionality to evaluate and potentially improve the performance of a library of prey signature data, compute goodness-of-fit diagnostics, and support simulation-based research.
–biomass: An r package designed to compute both AGB/AGC estimate and its associated uncertainty from forest plot datasets, using a Bayesian inference procedure. The package builds upon previous work on pantropical and regional biomass allometric equations and published datasets by default, but it can also integrate unpublished or complementary datasets in many steps.