Spatially explicit cost-effective actions for biodiversity threat abatement

摘要: Abstract Biodiversity decline is indisputable, and rates of future depend on whether threats to species persistence are abated. However, current resources for threatened management less than required stop further decline. Management that abates many necessary, yet decisions about how do this under resource constraints inherently complex. My thesis incorporates systematic conservation planning cost-effectiveness analysis in a decision-support framework prioritising spatially-explicit actions across region. By action where it expected provide the greatest benefit most at least cost, my research advances thinking decision support, contributes effort reduce biodiversity Using information was compiled by Queensland, Australia government, develops process managing bio-diverse regional-scale area, Burnett-Mary Natural Resource Region. In thesis, predicted distributions 65 modelled co-occurring presence-only locations ecologically-meaningful environmental data. Three addressed: invasive red fox predation; too frequent intense fire; habitat degradation from overgrazing. Indirect threat maps made combining distribution models vulnerable specific used identify threat-abating likely species. costs estimated control, basis roadside baiting strategy; proactive fire management, vegetation type proximity human structures; stewardship agreements grazing, foregone agriculture profit. Spatially benefits leads ability prioritise cost-effective actions. Within context regional actions, examines four topics. Firstly, an understanding affected determines direct management. maps, but sensitive map scale guiding efforts (Chapter 2). fine-scale derive indirect instead general range may lead better decisions. Funding limitations require choices be when not everything can done. Transparent rigorous support provided ranked most, least, locations, accessible calculated with readily-available spreadsheet mapping software 3). Cost-effective