I am very happy to announce the final paper from my PhD has now been published!
Here is a brief outline of the paper:
Protected area management effectiveness (PAME) evaluation is increasingly undertaken to evaluate governance, assess conservation outcomes and inform evidence-based management of protected areas (PAs). Within PAME, quantitative approaches to assess biodiversity outcomes are now emerging, where biological monitoring data are directly assessed against quantitative (numerically defined) condition categories (termed quantitative condition assessments). However, more commonly qualitative condition assessments are employed in PAME, which use descriptive condition categories and are evaluated largely with expert judgement that can be subject to a range of biases, such as linguistic uncertainty and overconfidence.
Despite the benefits of increased transparency and repeatability of evaluations, quantitative condition assessments are rarely used in PAME. To understand why, we interviewed practitioners from all Australian marine protected area (MPA) networks, which have access to long-term biological monitoring data and are developing or conducting PAME evaluations.
Our research revealed that there is a desire within management agencies to implement quantitative condition assessment of biodiversity outcomes in Australian MPAs. However, practitioners report many challenges in transitioning from undertaking qualitative to quantitative condition assessments of biodiversity outcomes, which are hampering progress. Challenges include a lack of agency capacity (staff numbers and money), knowledge gaps, and diminishing public and political support for PAs. We point to opportunities to target strategies that will assist agencies overcome these challenges, including new decision support tools, approaches to better finance conservation efforts, and to promote more management relevant science.
Please follow this open access link to access this paper: authors.elsevier.com/a/1Uyhw14Z6tTFRO
If you’d like to see some of my other PhD research, please click the links below:
Addison P.F.E., Flander L.B., Cook C.N. (2017) Towards quantitative condition assessment of biodiversity outcomes: insights from Australian marine protected areas. Journal of Environmental Management. 198, 183–191.
Addison, P.F.E., Flander, L. B., Cook, C.N. (2015) Are we missing the boat? Current uses of long-term biological monitoring data in the evaluation and management of marine protected areas. Journal of Environmental Management. 149, 148–156.
Addison, P.F.E, de Bie, K., Rumpff, L. (2015) Setting conservation management thresholds using a novel participatory modelling approach. Conservation Biology, 29, 1411–1422.
Addison, P. F. E., Rumpff, L., Bau, S. S., Carey, J. M., Chee, Y. E., Jarrad, F., McBride, M. F., and Burgman, M. A. (2013). Practical solutions for making models indispensable in conservation decision-making. Diversity and Distributions. Special issue on: Perspectives and tools for conservation risk analysis. 19, 490–502.