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Effective biodiversity conservation requires responding to threats in a timely fashion. This requires understanding the impacts of threats on biodiversity and when management needs to be implemented. However, most ecological systems face multiple threats, so monitoring to assess their impacts on biodiversity is a complex task. Indicators help simplify the challenge of monitoring but choosing the best indicator(s) to inform management is not straightforward.We provide a decision framework that can help identify optimal indicators to trigger management in a system faced with multiple threats. The approach evaluates indicators based on criteria spanning monitoring efficiency, management outcomes and the economic constraints for decision‐making. Critical decision factors (or parameters) are identified and detailed in a six‐step process to estimate the cost‐effectiveness of alternate indicators, including threat impacts, sensitivity of indicators to detect change, and the benefits, costs and feasibility of alternative indicators and management actions.Using the Kimberley as a case study, we evaluate 18 indicators for informing management of three key threats in the region: fire and grazing, feral cat predation, and weeds. We show that indicator selection based on our approach can help improve the expected outcome of management decisions under limited resources. By accounting for multiple factors in estimating benefit and costs of monitoring, our approach improves on common approaches that select indicators based only on whether they are sensitive to change and/or cheap to monitor. We also identify how uncertainty in decision factors influences indicator selection.Although cost‐effectiveness analyses are gaining popularity, ours is the first study to integrate multiple selection criteria using a return on investment framework to compare indicators for monitoring multiple threats and triggering management. [ABSTRACT FROM AUTHOR]

Project prioritization protocols are an important tool for allocating conservation resources efficiently, and have been applied to a range of species and ecosystems. Current approaches are inadequate when applied to species with distinct threats impacting different and/or multiple life history stages, such as sea turtles. We develop a model that integrates the benefit of any management project on a population by way of its expected population growth rate, including projects targeting different and/or multiple life history stages. To illustrate its utility, we prioritize projects for investment relevant to Australia's eastern population of Flatback turtle ( Natator depressus). We rely upon expert-elicitation to estimate individual benefit parameters, feasibility, and cost, and calculate the cost-effectiveness of each project. The most cost-effective project was not the most feasible, cheapest, or most beneficial. Our approach will help managers make efficient decisions that account for the full range of threats operating on a population. [ABSTRACT FROM AUTHOR]

In conservation, as in most other subjects, there is a division of expenditure into problem identification, solution testing, and practice. However, research concentrates on problem identification rather than solution testing. We calculate the return on the investment of research (a PhD thesis) examining the effectiveness of conservation interventions for birds of prey in three European countries. We show that the economic return from investing in a PhD thesis could be substantial, in the order of hundreds of thousands euros over 10 years or a return on investment of between 292% and 326% over that period. We derived the values of return on investment by first setting a common biological target (the total number of raptor fledglings produced per year). We then compared overall costs in achieving such target via the wide implementation of the results from the thesis (i.e., allocating resources to the most effective intervention) versus a business as usual scenario. We identify other theses that also show considerable benefits in improving effectiveness. We suggest that further research examining effectiveness would be cost-effective in improving practice. [ABSTRACT FROM AUTHOR]

Resources for conserving biodiversity are invariably insufficient. This situation creates the need for transparent, systematic frameworks to help stakeholders prioritize the allocation of resources across multiple management actions. We developed a novel framework that explicitly prioritizes actions to minimize the impacts of several threats across a species' range. The framework uses a budget constraint and maximizes conservation outcomes from a set of management actions, accounting for the likelihood of the action being successfully applied and accepted by local and indigenous communities. This approach is novel in that it integrates local knowledge and expert opinion with optimization software, thereby minimizing assumptions about likelihood of success of actions and their effectiveness. To test the framework, we used the eastern Gulf of Carpentaria and Torres Strait population of the flatback turtle, Natator depressus, as a case study. This approach allowed the framework to be applied in a data-poor context, a situation common in conservation planning. The framework identified the best set of actions to maximize the conservation of flatback eggs for scenarios with different budgets and management parameters and allowed comparisons between optimized and preselected scenarios. optimized scenarios considered all implementable actions to explore how to best allocate resources with a specified budget and focus. Preselected scenarios were used to evaluate current allocations of funds and/or potential budget allocations suggested by different stakeholders. scenarios that used a combination of aerial and ground strategies to reduce predation of eggs performed better than scenarios that focused only on reducing harvest of eggs. The performances of optimized and preselected scenarios were generally similar among scenarios that targeted similar threats. However, the costeffectiveness of optimized scenarios was usually higher than that of preselected scenarios, demonstrating the value of conducting a systematic optimization approach. our method provides a foundation for more effective conservation investments and guidance to prioritize actions within recovery plans while considering the sociopolitical and cultural context of decisions. The framework can be adapted easily to a wide range of species, geographical scales, and life stages. [ABSTRACT FROM AUTHOR]

Fences that exclude alien invasive species are used to reduce predation pressure on reintroduced threatened wildlife. Planning these continuously managed systems of reserves raises an important extension of the Single Large or Several Small (SLOSS) reserve planning framework: the added complexity of ongoing management. We investigate the long-term costefficiency of a single large or two small predator exclusion fences in the arid Australian context of reintroducing bilbies Macrotis lagotis, and we highlight the broader significance of our results with sensitivity analysis. A single fence more frequently results in a much larger net cost than two smaller fences. We find that the cost-efficiency of two fences is robust to strong demographic and environmental uncertainty, which can help managers to mitigate the risk of incurring high costs over the entire life of the project. [ABSTRACT FROM AUTHOR]