The cover of our February issue shows a flatback sea turtle (Natator depressus) leaving a nesting beach, fitted with an accurate Fastloc‐GPS tag. In this post, Takahiro Shimada and Mark G. Meekan explain how they analysed turtle tracking data to demonstrate their new method for assessing appropriate sample sizesin the article ‘Optimising sample sizes for animal distribution analysis using tracking data’.
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.
Aquatic animal telemetry has revolutionized our understanding of the behaviour of aquatic animals. One of the important advantages of telemetry methods, including acoustic telemetry, is that they provide information at the individual level. This is very relevant because it enables investigating the natural variability in behaviour within populations (like here or here), but also because one can investigate what happens to each individual animal and relate it to its natural behaviour. Knowing “what happens to each individual” is normally referred to as “fate” and it can take many forms: some fish may end-up eaten by predators, other may be fished, some of them may disperse, etc. Knowing the fate of each individual fish is crucial as it links ecological processes at the individual level to evolutionary outcomes at the population level.
“I’m a quantitative ecologist interested in how anthropogenic changes such as climate change and habitat loss affect global ecosystems, and how this in turn affects human well-being. I develop computational methods for spatial ecology to facilitate the reproducible analysis of social-ecological systems and ecosystem services. I’m interested in using novel statistical methods and heterogeneous sources of data to answer applied and theoretical questions.” Continue reading →
The Struggle is Real: Finding Interesting and Relevant Articles
Where to start? We are awash in data, information, papers, and books. There are hundreds of ecological and environmental journals published regularly around the world; the British Ecological Society alone publishes five journals and is now accepting submissions for a sixth (more information on People and Nature here).
None of us has time even to click on the various articles flagged by alerts, feeds, or keywords, and few even browse tables of contents (which are becoming irrelevant as we move to DOIs and immediate-online publication). Increasingly, we rely on our friends, colleagues, students, and mentors to point us towards papers we might find interesting – further evidence, I suppose, of the importance of good networks for knowledge creation and scientific understanding.
Regular readers of Methods in Ecology and Evolution or this Methods blog may not realise how many methodological papers are published routinely in our BES sister journals. In this inaugural posting of Also of interest…, I highlight three papers recently published in Journal of Applied Ecology that introduce and apply new, model-based methodology to interesting ecological questions. The specific methods are like many seen in the pages of Methods in Ecology and Evolution and suggest general approaches for modelling and studying complex ecological and environmental phenomena. Continue reading →
Statistical and quantitative methods within ecology have increased substantially in recent years. This rise can be attributed both to the growing need to address global environmental change issues, as well as the increase in data sources to address these challenges. Continue reading →
This month’s issue contains two Applications articles and one Open Access article, all of which are freely available.
– letsR: A package for the R statistical computing environment, designed to handle and analyse macroecological data such as species’ geographic distributions and environmental variables. It also includes functions to obtain data on species’ habitat use, description year and current as well as temporal trends in conservation status.
– Cleaning Oil from Seabirds: The authors assess the efficacy of sea water as an alternative to fresh water for cleaning oil from seabirds’ feathers. Results indicate that for oiled feathers, a sea water wash/rinse produced clean, low BAI/unclumped feathers with minimal particulate residue.
Stefano Canessa et al. provide this month’s only Open Access article. In ‘When do we need more data? A primer on calculating the value of information for applied ecologists‘ the authors guide readers through the calculation of Value of Information (VoI) using two case studies and illustrate the use of Bayesian updating to incorporate new information. Collecting information can require significant investments of resources; VoI analysis assists managers in deciding whether these investments are justified. The authors also wrote a blog post on VoI which you can find here.