Prioritizing species conservation programs based on IUCN Green Status and estimates of cost-sharing potential.

Over 1 million species around the world are at risk of extinction, and conservation organizations have to decide where to invest their limited resources. Cost-effectiveness can be increased by leveraging funding opportunities and increasing collaborative partnerships to achieve shared conservation goals. We devised a structured decision-making framework to prioritize species' conservation programs based on a cost-benefit analysis that takes collaborative opportunities into account in an examination of national and global conservation return on investment. Conservation benefit is determined by modifying the novel International Union for the Conservation of Nature Green Status for Species to provide an efficient, high-level measure that is comparable among species, even with limited information and time constraints. We applied this prioritization approach to the Wilder Institute/Calgary Zoo, Canada, a nonprofit organization seeking to increase the number of species it assists with conservation translocations. We sought to identify and prioritize additional species' programs for which conservation translocation expertise and actions could make the most impact. Estimating the likelihood of cost-sharing potential enabled total program cost to be distinguished from costs specific to the organization. Comparing a benefit-to-cost ratio on different geographic scales allowed decision makers to weigh alternative options for investing in new species' programs in a transparent and effective manner. Our innovative analysis aligns with general conservation planning frameworks and can be adapted for any organization.

Priorización de los programas de conservación de especies con base en el Estatus Verde de la UICN y las estimaciones del potencial del reparto de costos Resumen Hoy en día, las organizaciones de conservación tienen que decidir en dónde invertir sus limitados recursos a la vez que más de un millón de especies están en peligro de extinción a nivel mundial. La rentabilidad de las inversiones puede incrementarse aprovechando las oportunidades de financiación y aumentando las asociaciones de colaboración para alcanzar los objetivos de conservación compartidos. Diseñamos un marco de toma de decisiones para priorizar los programas de conservación de especies con base en un análisis de costo-beneficio que considera las oportunidades de colaboración de un estudio del rendimiento de la inversión en la conservación a escala nacional y mundial. El beneficio de la conservación se determina al modificar el novedoso Estatus Verde de las Especies de la Unión Internacional para la Conservación de la Naturaleza para proporcionar una medida eficiente y de alto nivel que pueda compararse entre especies, incluso con limitaciones de información y tiempo. Aplicamos esta estrategia de priorización al Instituto Wilder/Zoológico de Calgary (Canadá), una organización sin fines de lucro que pretende aumentar el número de especies a las que ayuda con reubicaciones de conservación. Intentamos identificar y priorizar programas de especies adicionales en los que la experiencia y las acciones de reubicación para la conservación pudieran tener un mayor impacto. La estimación de la probabilidad del potencial de reparto de costos permitió distinguir el costo total del programa de los costos específicos de la organización. La comparación de la relación costo-beneficio a diferentes escalas geográficas permitió a los responsables de la toma de decisiones sopesar las opciones para invertir en nuevos programas de especies de forma transparente y eficaz. Nuestro análisis innovador se ajusta a los marcos generales de planificación de la conservación y puede adaptarse a cualquier organización.

Animal learning may contribute to both problems and solutions for wildlife-train collisions.

Transportation infrastructure can cause an ecological trap if it attracts wildlife for foraging and travel opportunities, while increasing the risk of mortality from collisions. This situation occurs for a vulnerable population of grizzly bears (Ursus arctos) in Banff National Park, Canada, where train strikes have become a leading cause of mortality. We explored this problem with analyses of rail-associated food attractants, habitat use of GPS-collared bears and patterns of past mortality. Bears appeared to be attracted to grain spilled from rail cars, enhanced growth of adjacent vegetation and train-killed ungulates with rail use that increased in spring and autumn, and in areas where trains slowed, topography was rugged, and human density was low. However, areas with higher grain deposits or greater use by bears did not predict sites of past mortality. The onset of reported train strikes occurred amid several other interacting changes in this landscape, including the cessation of lethal bear management, changes in the distribution and abundance of ungulates, increasing human use and new anthropogenic features. We posit that rapid learning by bears is critical to their persistence in this landscape and that this capacity might be enhanced to prevent train strikes in future with simple warning devices, such as the one we invented, that signal approaching trains. This article is part of the theme issue 'Linking behaviour to dynamics of populations and communities: application of novel approaches in behavioural ecology to conservation'.