bioRxiv Science⌕ Search

Biology subjects

Wotherspoon, S.

Publications and source records attributed to Wotherspoon, S..

2 recordsLinked to original sources

Exploring mechanisms of change in a Southern Ocean fishery with a co-produced network model

A key challenge in planning long-term fisheries sustainability is overcoming uncertainties in predicted changes in target populations and catch rates in response to climate change and fishery trends. We combine transdisciplinary knowledge co-production and qualitative network modelling to advance system understanding and elucidate likely responses of a Patagonian toothfish fishery to future change. We co-developed a model of the Kerguelen Plateau biophysical-socioeconomic system with knowledge holders from industry and science; the first whole-of-system qualitative network model of intermediate complexity for this region. We present new approaches for dealing with uncertainty in network structure, and for investigating how perturbations propagate through a network. Using these tools, we found multiple potential pathways of decline for toothfish population and catch, but also some possible mechanisms of increase dependent on magnitude of certain effects. Our results highlight critical information gaps, including the potential role of scavenging benthos in fishery-ecosystem interactions and likely changes in the prey-field in response to warmer water, that require filling to improve predictions for toothfish populations and catch and forward planning for the fishery.

ecology↗

Drones count wildlife more accurately and precisely than humans

Ecologists are increasingly using technology to improve the quality of data collected on wildlife, particularly for assessing the environmental impacts of human activities. Remotely Piloted Aircraft Systems (RPAS; commonly known as drones) are widely touted as a cost-effective way to collect high quality wildlife population data, however, the validity of these claims is unclear. Using life-sized seabird colonies containing a known number of replica birds, we show that RPAS-derived data are, on average, between 43% and 96% more accurate than data from the traditional ground-based collection method. We also demonstrate that counts from this remotely sensed imagery can be semi-automated with a high degree of accuracy. The increased accuracy and precision of RPAS-derived wildlife monitoring data provides greater statistical power to detect fine-scale population fluctuations allowing for more informed and proactive ecological management.

ecology↗