It was easy to feel inspired about ecology with this view from the conference hotel.
It’s been two weeks since the 2019 Ecological Society of America conference and I’m still collecting all my thoughts about the meeting. My experience at ESA was, as they say, a little like drinking from a firehose: there was an enormous number of exciting talks, sessions, workshops, and networking opportunities, and I inevitably had time to experience only a fraction of them.
I spoke with GBIF’s executive secretary and amateur lepidopterist Donald Hobern about how DNA barcoding fits into modern conservation and ecology (Image Credit: Donald Hobern, CC BY-2.0, Image Cropped)
DNA barcoding has revolutionised science. Ask anyone working in evolution or taxonomy these days what the biggest changes are the they’ve seen in their discipline, chances are it’ll be to do with gene sequencing and DNA processing. So when the International Barcode of Life (iBOL) Conference came to Trondheim last week, I jumped at the opportunity to learn more about the behind the scenes work that goes into cataloguing the DNA barcodes of life on earth.
I sat down with Donald Hobern, Executive Secretary of iBOL and former Executive Secretary of the Global Biodiversity Information Facility (GBIF) and Director of the Atlas of Living Australia (ALA). Donald joined iBOL just as they launched BIOSCAN, a $180 million dollar program which aims to accelerate the cataloguing of the world’s biodiversity in DNA form. We spoke about BIOSCAN, the technology behind bringing occurrence and genetic data together, and how the work iBOL and GBIF do ties into the bigger picture of global conservation and sustainability.
Image Credit: NPS Photo, CC BY-SA 2.0, Image Cropped
A collection of biodiversity researchers from across Europe came together in Brussels for a unique kind of meeting last week. We were connected by two common threads: first, we are all supported by BiodivERsA, a large network of European biodiversity research projects funded by the European Union’s Horizon 2020 program. And second, most importantly, we are all interested in connecting our biodiversity research with citizen science in one form or another.
Community, or citizen, science is a huge, often untapped data source for ecologists. So what are the pitfalls of using it? (Image Credit: Jacob W. Frank, NPS, Public Domain Mark 1.0, Image Cropped)
Occupancy models for citizen-science data (2018) Altwegg & Nichols, Advances in Modelling Demographic Processes, 10, p. 8-21
Species distributions maps are great. I remember rifling through animal encyclopedias as a kid, checking out the distributions of my favourite animals, just assuming that people knew exactly where to find all these organisms. But the reality is that figuring out exactly where species live is extremely difficult.
It’s made easier, however, by the use of citizen (or community) science. This occurs when volunteers involve themselves in projects in which they observe and report the presence or absence of a species in a given area, which is then used to determine a species’ distribution. This data is obviously incredibly useful to any ecologist, but it comes with some drawbacks. This paper attempts to summarise those drawbacks and outline ways to work around them.
Fields full of herbaceous plants such as these can be incredibly diverse and complicated ecosystems, and the multitudes of species that inhabit them can influence the magnitude of disease that the organisms that inhabit it may encounter (Image Credit: LudwigSebastianMicheler, CC BY-SA 4.0, Image Cropped)
Past is prologue: host community assembly and the risk of infectious disease over time (2018) Halliday, F.W. et al., Ecology Letters, 22, https://dx.doi/10.1111/ele.13176
Everything in ecology is based around the environment that a focal organism inhabits, including the interactions it has with other organisms and the non-living aspects of the habitat itself (temperature, water pH, etc.). That being said, it’s no surprise that disease dynamics are likely to depend on the environment that a host inhabits, and that the environment itself is a product of what came before. That is to say, the group of organisms that originally populate a given ecosystem can have an effect on how that ecosystem will look in the future (lakes with freshwater mussels will have clearer water than those without).
The scientific literature is full of experiments, observations, and hypotheses about which environmental conditions lead to fluctuations in disease dynamics. As such, it is difficult to come to a consensus with a “one-size-fits-all” rule for disease dynamics and community structure. The authors of today’s study used a long-term experiment to determine what exactly moderates disease over time. Read more