Mathematicians and conservationists from the UK, Africa and the United States have used machine-learning and citizen science techniques to accurately count wildebeest in the Serengeti National Park in Tanzania more rapidly than is possible using traditional methods.
Evaluating wildebeest abundance is currently extremely costly and time-intensive, requiring manual counts of animals in thousands of aerial photographs of their habitats. From those counts, which can take months to complete, wildlife researchers use statistical estimates to determine the size of the population. Detecting changes in the population helps wildlife managers make more informed decisions about how best to keep herds healthy and sustainable. Continue reading →
The theme for this year’s International Women’s Day is#BalanceForBetter. So, we decided that we’d like to take this opportunity to promote an organisation that supports and empowers women and gender minorities in STEM fields that still suffer from underrepresentation. As a journal, we publish a lot of articles on software and code that are used in the study of different fields in ecology and evolutionary biology. We have a wide audience of R coders and R users who follow us on social media and read our blog. With that in mind, R-Ladies seemed like a fairly obvious group for us to promote…
R-Ladies is a global grassroots organisation whose aim is to promote gender diversity in the R community. The R community suffers from an underrepresentation of gender minorities (including but not limited to cis/trans women, trans men, non-binary, genderqueer, agender). This can be seen in every role and area of participation: leaders, package developers, conference speakers, conference participants, educators, users (see recent stats). What a waste of talent!
As a diversity initiative, the mission of R-Ladies is to achieve proportionate representation by encouraging, inspiring, and empowering people of genders currently underrepresented in the R community. So our primary focus is on supporting minority gender R enthusiasts to achieve their programming potential. We’re doing this by building a collaborative global network of R leaders, mentors, learners, and developers to help and encourage individual and collective progress worldwide.Continue reading →
Quantifying animal movement is central to research spanning a variety of topics. It’s an important area of study for behavioural ecologists, evolutionary biologists, ecotoxicologists and many more. There are a lot of ways to track animals, but they’re often difficult, especially for people who don’t have a strong background in programming.
Vivek Hari Sridhar, Dominique G. Roche and Simon Gingins have developed a new, simple software to help with this though: Tracktor. This package provides researchers with a free, efficient, markerless video-based tracking solution to analyse animal movement of single individuals and groups.
Vivek and Simon explain the features and strengths of Tracktor in this new video:
For more than a decade, citizen science projects have helped researchers use the power of thousands of volunteers who help sort through datasets that are too large for a small research team. Previously, this data generally couldn’t be processed by computers because the work required skills that only humans could accomplish.
Now, computer machine learning techniques that teach the computer specific image recognition skills can be used in crowdsourcing projects to deal with massively increasing amounts of data—making computers a surprising new partner in citizen science projects.
There’s a frustrating yin and yang to biological research: motivated by curiosity and imagination, we often find ourselves instead defined by limitations. Some of these are fundamental human conditions. The spectrum of light detectable by human eyes, for example, means we can never see a flower the way a bee sees it. Others limitations, like funding and time, are realities of modern-day social and economic systems.
Early career researchers (ECRs) starting new projects and delving into new research systems must be especially creative to overcome the odds. Large grants can be transformative, giving a research group the equipment and resources to complete a study, but they’re tough to get. Inexperienced ECRs are at a disadvantage when competing against battle-hardened investigators with years of grant writing experience. Small grants of up to about $5000 USD, on the other hand, are comparatively easy to find. So, how can ECRs make the most of small, intermittent sources of funding?
I found myself faced with this question in the second year of my PhD field work. Continue reading →
Hay un frustrante toma-y-dame en el campo de la investigación biológica: motivados por la curiosidad y la imaginación, a menudo nos encontramos definidos por limitaciones. Algunas de estas, como nuestros sentidos, son condiciones humanas fundamentales. El espectro de luz detectable por los ojos humanos, por ejemplo, significa que nunca podremos ver a una flor de la misma forma en que la ve una abeja. Otras limitaciones, como financiamiento y tiempo, representan las realidades de los sistemas sociales y económicos de hoy día.
Los investigadores al comienzo de sus carreras (Early Career Researchers, o ECRs en sus siglas en inglés) que se embarcan en nuevos proyectos y se involucran con sistemas nuevos de investigación deben ser especialmente creativos para poder superar las probabilidades. Una generosa beca puede ser transformativa, pero un ECR con poca experiencia está en desventaja cuando compite con investigadores ya endurecidos por la batalla, quienes tienen años de experiencia escribiendo propuestas de financiamiento. Por otra parte, las pequeñas becas en el rango de $2.000 a $5.000 son comparativamente fáciles de encontrar. ¿Cómo puede un ECR aprovechar al máximo estas pequeñas e intermitentes fuentes de financiamiento?
En el segundo año del trabajo de campo de mi doctorado me enfrenté con este enigma. Continue reading →
Pathogens and the infectious diseases that they cause can have devastating impacts on host individuals and populations. To better understand how pathogens are able to cause disease, we can investigate the genetic mechanisms underlying the infection process. Hosts may respond to infection by upregulating defence pathways. Pathogens, in turn, evade these host immune responses as they infect and cause disease. As this process unfolds and each organism responds to the other, gene expression changes in both the host and the pathogen. These gene expression changes can be captured by dual RNA‐seq, which simultaneously captures the gene expression profiles of a host and of a pathogen during infection. Continue reading →
For the first time ZSL scientists were able to use the calls of a species as a proxy for their movement. A happy hihi call sounds like two marbles clanging together in what is known as the ‘stitch’ call. Scientists saw the calls change from an initial random distribution to a more settled home range – marking the hihi reintroduction and the new method a success. Continue reading →
It’s already been a busy 2019 for the six BES journal blogs. We’ve covered topics from leaving the nest to sustainable food production, stress in academia to climate change. On Relational Thinking we learned that cats can’t trespass. And Animal Ecology in Focus taught us that some crabs steal food from plants.
Today we’re having a look back at some of last month’s highlights from across the blogs:
Cats Can’t Trespass
This post was created by the author of one of our published papers. It’s a really creative and funny illustrated summary of their paper.
BES 2018: Field Notes from Birmingham
This post was written by our Associate Editor Andrea Belgrano and is his conference report on BES2018. It is an evocative and sensitive reflection on the meeting, where he compares the spiritual energy of the community to that of the Zen Buddhist Daruma Doll. Continue reading →
Analysis of datasets collected on marked individuals has spurred the development of statistical methodology to account for imperfect detection. This has relevance beyond the dynamics of marked populations. A couple of great examples of this are determining site occupancy or disease infection state.
The regular series of EURING-sponsored meetings (which began in 1986) have been key to this development. They’ve brought together biological practitioners, applied modellers and theoretical statisticians to encourage an exchange of ideas, data and methods.
This new cross-journal Special Feature between Methods in Ecology and Evolution and Ecology and Evolution, edited by Rob Robinson and Beth Gardner, brings together a collection of papers from the most recent EURING meeting. That meeting was held in Barcelona, Spain, 2017, and was hosted by the Museu de Ciènces Naturals de Barcelona. Although birds have provided a convenient focus, the methods are applicable to a wide range of taxa, from plants to large mammals. Continue reading →