Today, we’re pleased to announce that we’re launching a new article type for Methods in Ecology and Evolution: Practical Tools. Like our Applications articles, Practical Tools will be short papers(up to 3000 words). They’ll focus on new field techniques, equipment or lab protocols. From this point forward, our Applications papers will solely focus on software and code.
Practical tools need to clearly demonstrate how tools designed for specific systems or problems can be adapted for more general use. Online supporting information can include specific instructions, especially for building equipment. You can find some examples of Applications that would now fit into this article type here and here.
Current eDNA sampling technologies consist mainly of do‐it‐yourself solutions. The lack of purpose‐built sampling equipment is limiting the efficiency and standardization of eDNA studies. So, Thomas et al. (a team of molecular ecologists and engineers) designed ANDe™.
In this video, the authors highlight the key features and benefits of ANDe™. This integrated system includes a backpack-portable pump that integrates sensor feedback, a pole extension with remote pump controller, custom‐made filter housings in single‐use packets for each sampling site and on-board sample storage.
This month’s issue contains two Applications articles and one Open Access article, all of which are freely available.
– CPW Photo Warehouse: freely available software that has been customized to identify, archive, and transform photographs into data formats required for statistical analyses. Users navigate a series of point-and-click menu items that allow them to input information from camera deployments, import photos and store data. Images are seamlessly incorporated into the database windows, but are stored separately.
–SIMR: An R package that allows users to calculate power for generalized linear mixed models from the lme4 package. The power calculations are based on Monte Carlo simulations. It includes tools for (i) running a power analysis for a given model and design; and (ii) calculating power curves to assess trade-offs between power and sample size.