Jolien Goossens tells us about the challenges of installing acoustic receivers on the seabed and the tripod they designed to overcome them.
Installing scientific instruments in the marine environment comes with many challenges. Equipment has to withstand the physical forces of tides, currents and storms. Researchers have to take into account the effects of biofouling, corrosion and human activities. Even access to the study site can pose its difficulties, as diving is limited by depth and weather conditions. Practical deployment mechanisms are therefore needed to sustain consistent data flows.
Acoustic telemetry enables the observation of animal movements in aquatic environments. Individual animals are fitted with a transmitter, relaying a signal that can be picked up by acoustic receivers. To facilitate a convenient installation of these instruments, we developed and tested a new design, mounting a receiver with an acoustic release on a tripod frame. This frame enables the recovery of all equipment and better yet, improves the quality of the data.
In our recent paper in Methods in Ecology and Evolution, Alessandro Lúcio and I describe a new R package, metan, for multi-environment trial analysis. Multi-environment trials are a kind of trial in plant breeding programs where several genotypes are evaluated in a set of environments. Analyzing such data requires the combination of several approaches including data manipulation, visualization and modelling. The latest stable version of metan (v1.5.1) is now on CRAN. So, I want to share the history about my first foray into using R, creating an R package, and submitting a paper to a journal that I’ve never had submitted before.
Em nosso recente artigo na Methods in Ecology and Evolution, Alessandro D. Lúcio e eu descrevemos um novo pacote R para análise de ensaios multi-ambientes chamado metan. Ensaios multi-ambientes são um tipo de ensaio em programas de melhoramento de plantas, onde vários genótipos são avaliados em um conjunto de ambientes. A análise desses dados requer a combinação de várias abordagens, incluindo manipulação, visualização e modelagem de dados. A versão estável mais recente do metan (v1.5.1) está disponível agora no repositório CRAN. Então, pensei em compartilhar a história da minha primeira incursão no uso do R criando um pacote e submetendo um artigo para uma revista que nunca havia submetido antes.
How organisms adapt to the environment they live in is a key question in evolutionary biology. Genetic variation, i.e. how individuals within populations differ from each other in terms of their DNA, is an essential element in the process of adaptation. It can arise through different mechanisms, including DNA mutations, genetic drift, and recombination.
Differences in DNA sequences between individuals can results in differences in the expression of genes. This can therefore determine the organism’s capacity to grow, develop, and react to environmental stimuli. However, a growing body of literature reveals that there are other ways organisms can change the way they interact with the world without mutations in the DNA sequence.
In 1970, Earth Day was launched as a modern environmental movement and a unified response to an environment in crisis. Earth Day has provided a platform for action, resulting in the creation of the Environmental Protection Agency (EPA), The Clean Air, Clean Water and Endangered Species Acts in the US and more globally. This year, 22 April marks the 50th anniversary of Earth Day, and the number one environmental crisis theme which needs immediate attention is ‘Climate Action’. Many of our ecosystems on earth are degrading at an alarming pace and we are currently experiencing a species loss at a rate of tens or hundreds of times faster than in the past.
The latest issue of Methods in Ecology and Evolution is now online! This month’s issue is a little shorter than our last few. But, as they say, good things come in small packages!
Senior Editor Lee Hsiang Liow has selected six Featured Articles this month. You can find out about all of them below. We’ve also got five Applications articles and a Practical Tools article in the April issue that we’re going to cover. Those six papers are freely available to everyone – no subscription required!
There are many reasons that we might be interested in whether individuals, species or populations overlap in multidimensional space. In ecology and evolution, we might be interested in climatic overlap, morphological overlap, phenological or biochemical overlap. We can use analyses of overlap to study resource partitioning, evolutionary histories and palaeoenvironmental conditions, or to inform conservation management and taxonomy. Even these represent only a subset of the possible cases in which we might want to investigate overlap between entities. Databases such as GBIF, TRY and WorldClim make vast amounts of data publicly available for these investigations. However, these studies require complex multivariate data and distilling such data into meaningful conclusions is no walk in the park.
Today, science extends beyond the research bench or the fieldsite more often than ever before. Scientists are continuously interacting with educators and the general public, and people are reciprocating the interest with a drive to be involved.
With this integration of science and the public, citizen-science efforts to crowdsource information have become increasingly popular (check out Zooniverse, SciStarter, NASA Citizen Science Projects, Project FeederWatch, and Foldit to get involved!). In the birding community, enthusiasts have been observing and recording birds for decades, but now there are methods for immediate data sharing among the community (eBird).
The answer to this question depends on a reef’s location, given that shark abundances can vary with primary productivity and other oceanographic features. It also depends on which time period you chose as your reference point. Shark abundances can fluctuate over the course of a few hours – as well as over days to years to decades and beyond. Even if you chose the same time and place as the person before you, you might have come up with a slightly different answer. This variation in how we determine baselines – overlaid on a backdrop of natural variation in shark communities over space and time – can contribute to differing perceptions about what’s natural or what a depleted population can possibly be restored to.