Understanding animal movement across varying spatial and temporal scales is an active area of fundamental ecological research, with practical applications in the fields of conservation biology and natural resource management. Advancements in tracking technologies, such as GPS and satellite systems, allow researchers to obtain more location information for a variety of species than ever before. It’s an exciting time for movement ecologists! However, entomologists studying insect movement are still limited because of the large size of tracking devices relative to the small size of insects.
We are excited to announce that our January Issue, including the Animal Social Networks Special Feature, is now online!All the articles in this issue are free to access – find out more about them below.
Joint with the Journal of Animal Ecology, we held a successful open call for papers, soliciting original research capturing novel methodological developments or applications of social network theory to new empirical questions.
Diatoms may be the only organisms to live in houses made of glass, but some species of diatom are far from fragile. Certain groups of diatoms are highly tolerant of poorer water quality and therefore their presence can be diagnostic for freshwater health estimates. A recent study, featuring MEE Associate Editor, Chloe Robinson, investigated whether communities of freshwater diatoms can be collected via kick-net methodology, which is an approach currently used for collecting benthic macroinvertebrates. In this post, Chloe highlights how applying previously optimised freshwater methods can result in a more holistic understanding of freshwater health.
We are pleased to announce our Machine Learning Virtual Issue is now online.
This collection of MEE articles showcases exciting advances and applications of machine learning (ML) across a wide range of ecological and evolutionary disciplines.
From the analysis of reef structure and tree crowns, to species and individual animal identification, biological overlap, content analysis, biodiversity assessment and counting animals, ML automates the extraction of meaningful information from large digital collections.
Our Associate Editors Arthur Porto, Marta Vidal-Garcia, Miguel Acevedo, Theoni Photopoulou and Sarab Sethi curated this virtual issue by selecting their favourite MEE articles that use machine learning. Find out below why these papers were chosen, and how they are helping to progress research in ecology and evolution.
Welcome to all the Methods editors, authors, reviewers and readers attending the British Ecological Society’s Festival of Ecology – the online version of our annual conference.
With a huge number of amazing talks, posters and workshops to choose from, it may be difficult to choose what to attend this week. Below is a list of conference content by our editors and authors that may be of interest to you.
If you can’t make a live session, the plenary lectures and thematic sessions are being recorded and videos will be uploaded to the conference platform the following day.
Don’t forget that presenter networking sessions run twice per day and these give you an opportunity to ask live questions while presenters of the on-demand talks and posters are online.
Follow #BES2020 and @MethodsEvolEcol for the latest updates!