Our June issue is now online! This issue contains 16 excellent articles on the latest methods in ecology and evolution, including methods for extracting forest information from LiDAR data, digitizing wood samples, optimizing sustainable isotope sample design, and much more. !
Read on to find out about this month’s featured articles and the article behind our butterfly cover.
tree tops Individual tree detection and crown delineation are two of the most important methods for extracting detailed and reliable forest information from LiDAR (Light Detection and Ranking) datasets. The development of accessible tools for 3D forest characterization can facilitate rapid assessment by stakeholders who do not have a remote sensor background, thus promoting the practical use of LiDAR datasets in forest ecology and conservation. Here, Silva et al. Introduce the tree top application, a LiDAR analysis tool for extracting forest-level structural structural information, including the latest analysis of ecology-related properties and forest management.
capita Standard procedures for obtaining high-quality images of wood samples have become a hindrance in dendrochronology digitization. Digitization is currently dominated by flatbed scanners, but the use of these devices is limited by sample length and surface flatness. Open source software and hardware have emerged as an alternative to creating research tools that combine reduced costs with high reliability. Here, García-Hidalgo et al. Introduce CaptuRING, an open source tool for digitizing wood samples that combines a do-it-yourself Arduino®-based hardware with a DSLR camera and free open source software with an easy-to-use graphical user interface used.
Measuring the size and mobility of aquatic invertebrates In place observation of features of aquatic organisms, including size and mobility, requires 3D measurements usually made with a stereoscopic imaging system. However, to observe the features of small aquatic invertebrates, the imaging system requires relatively high magnification, which results in a small overlapping volume between the two cameras of a conventional stereoscopic system. Here, Lertvilai & Jaffe implement a stereoscopic system that uses a tilted lens approach, known as the Scheimpflug principle, to increase the joint image volume of the two cameras. The system was calibrated and tested in the laboratory and then placed in a swamp to observe water boaters Trichocorixa californica.
Optimization of stable isotope sampling design Modern stable isotope research can benefit from the application of robust statistical analysis and well-designed sampling approaches to improve geographic assignment interpretation. Here, Contina et al. use hydrogen-stable isotope simulations to study conclusions about the probability of origin of migrating individuals and to detect gaps in sampling efforts by highlighting the uncertainties of extrapolation of the assignment model. They present an integrative approach that explores multiple sampling strategies across species with different geographical ranges to understand the advantages and limitations of animal movement conclusions based on stable isotope data.
Bootstrapping with an adjustment In many environmental and ecological environments, data analysis involves calculating a confidence interval for a nonlinear function of model parameters. In the frequency approach, this is often achieved using a Wald interval in which the standard function estimation error is obtained using the delta method. The aim of this paper by Fletcher & Jowettis is to promote a simple alternative to the delta method that will provide better coverage properties when the model parameter estimates have a distribution that is approximately normal with many variations, as would be the case asymptotically. for maximum likelihood. estimates in regular models.
Butterflies on the cover
This month’s cover shows a group of little captains, Thymelicus sylvestris, absorbing water and minerals in a small pond. Individuals from the same population generally differ in their behavior and such individual differences have aroused much attention in behavioral ecology. Decomposition of variance using statistical models with mixed effects provide a comprehensive tool for analyzing individual differences, and in particular, the R replication has become a popular metric. However, individual differences do not have to be constant in environments, as individuals often respond differently in different environments. When such individual interactions from the environment (IxE) are present, standard analysis of variance does not provide a single metric that efficiently describes the magnitude of individual differences. In this issue, Schielzeth & Nakagawa suggest a solution to how individual differences can be captured when IxE is present. Their article also provides guidelines for comprehensive reporting. This new statistical framework will hopefully provide the basis for future studies on complex patterns of individual differences – perhaps at some point even in young captains. Photo: © Holger Schielzeth