Posted by Rebecca Lehrke @rmlehrke
In conservation ecology we are taught from very early on the importance of adaptive management. We learn that the scientific process is cyclical; it doesn’t just stop once you put out some traps or feeders. It is not enough to just put our management strategies into action – we should always assess and improve them. Often this is actually the most interesting part of a project. We all know that ecological systems are complex and respond to change in so many different ways (see both Sam and Carolina’s previous blog posts if you don’t believe me). How a system, population or even individual organisms respond to management can be fascinating and extremely insightful.
For my masters I am looking at two parts of this question – how do individuals and populations respond to management interventions? This on its own is really nothing new; conservation managers all over the world assess the efficacy of their actions. Pest controllers undertake bird surveys to determine whether the populations are bouncing back, researchers assess changes in invertebrate diversity following reforestation projects, just to name a few. What is different in my research is the use of the fine-scale data made possible by modern technology.
I will be using GPS-tracking technology to investigate how black swans respond to disturbance-based management actions at the Auckland Airport. Put simply – and much more interestingly – the airport staff regularly chase the swans with a modified Jet Ski away from areas close to the runway. Black swans are a big bird, averaging around 5kg, they are not something we want hanging out anywhere near our runways. Managing this population is critical to airport safety in Auckland. To better understand how these birds respond to this management intervention, and how it can be improved, I will be collecting GPS-fixes at one-minute intervals during and following interventions by airport staff. These data will allow us to inform managers about the outcomes of their intervention; such as how frequently they should disturb the birds; at what times the swans pose the highest risk of bird strikes; and how the disturbance affects swan behaviour.
The use of technology in adaptive management projects, such as this, provides us with unprecedented detail about the way organisms respond to changes in their environment. For example, PIT-tagging birds around feeders can show us everything from how often they use them and when they use them, to whether a feeder is optimally positioned. There have already been a huge number of studies using tracking-technology that have changed the way we think about how and why animals move. These technologies are only getting more efficient, smaller and cheaper in time. More regular integration of data-capture technology into our adaptive management programmes could greatly improve their outcomes. If you’re still not convinced and you need to see another example of all this in action – watch this space, it is sure to be insightful and will no doubt be fascinating.
Rebecca Lehrke is an MSc student in the Centre for Biodiversity & Biosecurity, School of Biological Sciences, University of Auckland. She is using movement ecology to assess the efficacy of disturbance-based management of black swans at the Auckland Airport. She is supervised by Todd Dennis and Margaret Stanley.