As environmental managers, we’re frequently asked to make judgements about the relative health of the environment. This is often difficult because, by its nature, the environment is highly variable in space and time. Ideally, such judgements should be informed by robust scientific investigation, or more precisely, the reliable interpretation of the resulting data.
Type I and Type II Errors
Even with robust investigations and good data, our interpretations can sometimes be wrong. In general, this happens when:
the investigation concludes that an impact has occurred, when in fact it hasn’t (Type I error)
fails to detect an impact, when an impact has actually occurred (Type II error).
Understanding the circumstances that lead to these errors is unfortunately complicated, and difficult unless you have a strong statistical background. Continue reading →
There’s more information below on the Featured Articles selected by the Senior Editor and all of our freely available papers (Practical Tools and Applications articles are always free to access for everyone upon publication, whether you have a subscription or not). Continue reading →
As a Science Mum, I am often asked how I managed work and maternity leave, particularly by parents about to embark on a similar journey. So I thought that it might make a good topic for a blog post and start of a discussion. Here, I want to tackle things you can do as individuals for managing work and maternity/paternity leave – both for the person going on leave (e.g. mum or dad), and their colleagues – assuming that the person going on leave wants to maintain their academic career post-leave, including PhD students. There are other pieces for another day on what institutions should do to support those going on parental leave, and tips for coming back from leave (see also my previous post on accounting for career breaks in a CV or track record). I refer to maternity leave but this can equally be parental/carers/paternity leave – or any leave when you are taking a big chunk of time largely away from work to pursue other things in life. First, though, I’ll preface my tips with a little about my background.
I am writing predominantly from my own experience. Briefly, I have three children (born 2009, 2011 and 2013). I took about 8-9 months maternity leave with each, and returned to work part-time (3-4 days a week). All three were born while I was a postdoc on fellowships, the first two in the UK and the third in Australia, with good paid maternity leave provisions, and which allowed me to return to work part-time and extend my contract pro rata. For the first baby, our family was on the other side of the world, so we had little week-by-week support, and my husband was in a very demanding full-time job; while I was on maternity leave with my second we moved back to Australia, where we both work part-time and have a lot of family help and support, which makes a huge difference. I am a conservation scientist, and my work is desk based, including modelling and analysis, plus the usual academic roles of paper and grant writing, reviewing, editing and supervising students, but no teaching at the time. So the type of work I do wasn’t much affected by working part-time or being on leave. Continue reading →
Weeds are a major threat to biodiversity and agricultural industries globally. New alien plant species are constantly introduced across borders, regions or landscapes. We know that some (such as those listed in the IUCN Global Invasive Species Database) are likely become problematic invasive weeds from experiences elsewhere.
When a weed is first introduced, population growth and spread is typically slow. This ‘invasion lag’ may be due to straightforward mathematics (population dynamics) as well as geography, environmental change or genetics. In any case, the lag period often presents the only window of opportunity where weed eradication or effective containment can be achieved. So, responding to new weed incursions early and rapidly is very important. Anyone who has ever battled with a bad weed infestation in their backyard knows it’s best to get in early and decisively! But decisions about where to target surveillance and control activities are often made under considerable time, knowledge and capacity constraints. Continue reading →
On many evenings during spring and fall migration, tens of millions of birds take flight at sunset and pass over our heads, unseen in the night sky. Though these flights have been recorded for decades by the National Weather Services’ network of constantly-scanning weather radars, until recently these data have been mostly out of reach for bird researchers.
It’s the 22nd of September and that means it’s this year’s UN World Rivers Day! In over 60 countries around the globe events are going on today to bring attention to the many values of our waterways. And we, the Aquatic Ecology Special Interest Group of the BES, are joining in with the celebrations! We’re highlighting recent methodological advancements that will help us to manage and conserve our rivers in the future. So let’s get started…
Multiple Stressors and Molecular Tools
Today, human activities across the world are impacting rivers to varying degrees. As scientists, we frequently see the interaction of multiple different stressors such as flow regulations, pollution or climate change affecting our rivers. The combined impact of stressors like these may be worse than any of their individual impacts. To understand and manage the effect of them, we need cost-effective and reliable analytical tools that can capture site-specific and ecosystem-wide effects.
Recent methodological advances that will help us to achieve these goals often rely on the application of new or improved molecular tools. Emerging techniques include environmental DNA (eDNA) based applications to monitor endangered and invasive species as well as stable isotope ecology, which provides us with new insights into animal diets and energy flows through aquatic food webs. We’d like to take the opportunity to introduce some of the novel developments in both of these exciting fields. Continue reading →
As many of you will already know, this week is Peer Review Week (16-20 September). Peer Review Week is a global event celebrating the vital work that is done by reviewers in all disciplines. Throughout the week, we’ve been looking back at some of the peer review advice and guidance that we’ve published on the blog.
The theme for this year’s Peer Review Week is quality in review. So we thought that the best way to end the week would be to thank to everyone who has reviewed for us. Without the hard work and expertise of the people who voluntarily review papers for us, Methods in Ecology and Evolution would not be the successful journal that it is today. We are incredibly grateful for all of the time and effort that reviewers put into reading and commenting on the manuscripts that we send to them.
We’d like to send a HUGETHANK YOU to everyone who has ever reviewed for Methods in Ecology and Evolution – whether you’ve worked on one paper or twenty – we really appreciate your time and effort.
Or better yet, this post could be named ‘Our Cathartic Journey to Convince Ecologists to STOP Using the Midpoint Values for Analysing Plant Cover Classes’. Our work picks up where another recent Methods.blog post (Stuck between Zero and One) and Methods in Ecology and Evolution article (‘Analysing continuous proportions in ecology and evolution’) by Douma and Weedon left off. They introduced the benefits of using beta and Dirichlet regression. We’re going to tackle the sticky wicket of ordinal data. So, what should you do if you assign a range (like 0.2 to 0.3) instead of record a value (like 0.22) for a continuous proportion?
What is Ordinal Data?
It’s probably a good idea to start by defining the type of data we’re talking about. The best example is from plant surveys. Biologists visually assess the percentage of a pre-defined area covered by a certain plant species. They then record a ‘cover class value’ as an estimate of abundance. Each cover class value corresponds to the percentage of the area that is taken up by the plant in question (e.g., record a 0 for 0%, record a 1 for >0-5%, record a 2 for >5-25%, …, record a 6 for >95%). Continue reading →
A new QUT-led study has developed a statistical toolbox to help avoid seagrass loss which provides shelter, food and oxygen to fish and at-risk species like dugongs and green turtles. Seagrasses are a critical habitat that have been declining rapidly globally.
The research has been published in Methods in Ecology and Evolution describing key monitoring and management designs to maximise seagrass resilience to human activities. They will help to better inform seagrass dredging operations and development of coastal areas.
Michael Phelps is one of the most decorated Olympic athletes of all time and the world’s fastest swimmer. And yet, he could swim faster. Wearing the Speedo LZR Racer supersuit Michael Phelps could reduce his hydrodynamic drag, or water resistance, by upwards of 40%. That could increase his swim speed by more than 4%! In competition, that’s the difference between silver and gold. But, if Phelps forgot to remove his “drag socks” – cumbersome footwear designed to increase water resistance for strength training – his speed would be dramatically reduced. He’d be lucky to walk away with bronze!
Professional swimmers have adapted to the use of performance enhancing technologies to decrease their drag, but that’s nothing compared to the adaptations made by wild animals. Creatures in the marine environment have evolved incredible adaptations to decrease drag, such as extreme streamlining in marine mammals and seabirds. This allows them to move underwater as quickly and efficiently as possible. Seals, for example, are pretty ungainly on land, but in the water they’re sleek and rapid. They have a body shape designed to maximise speed while swimming.
When we study marine animals we often use tracking devices, which can be attached using harnesses, glue, or suction-cups. These ‘biologging devices‘, or tags, are similar to Fitbits. Attaching them to animals allows us to record, amongst other things, all of the animal’s movements and behaviours. This information is crucial to understanding their ecology and for improving their conservation management. Continue reading →