Species vulnerability to climate change involves an interaction between the magnitude of change (exposure) and a species's tolerance to change. We evaluated fish species vulnerability to predicted stream temperature increases by examining warming tolerances across the Wyoming fish assemblage. Warming tolerance combines stream temperature with a thermal tolerance metric to estimate how much warming beyond current conditions a species can withstand. Brown trout, rainbow trout and burbot had the lowest warming tolerances and the highest proportion of currently occupied sites that will become unsuitable under predicted temperature increases. These most vulnerable species were coldwater species, but had neither the lowest thermal tolerances nor would they experience the greatest temperature increases. Our results highlight the importance of considering the interaction of exposure and warming tolerance when predicting climate change vulnerability and demonstrate an approach that can be applied broadly.

Many streams are experiencing increased average temperatures due to anthropogenic activity and climate change. As a result, surface water temperature regulation is critical for preserving a diverse stream fish species assemblage. The development of temperature regulations has generally been based on laboratory measurements of individual species' thermal tolerances rather than community response to temperature in the field, despite multiple limitations of using laboratory data for this purpose. Using field data to develop temperature regulations may avoid some of the limitations of laboratory data, but the use of field data comes with additional challenges that prevent its widespread adoption. We used Wyoming stream fish assemblages as a case study to examine the feasibility of addressing the limitations of field and laboratory data through a hybrid approach that integrates both types of data to classify species into thermal guilds that can potentially inform regulatory standards. We identified coldwater, coolwater, and warmwater classes of sites with modeled mean August temperatures of <15.5, 15.5–19.9, and >19.9°C, respectively. We used species' associations with these temperature classes to place species into site‐groups. Finally, we used standardized laboratory measures of species' upper acute and chronic thermal tolerances to identify and reclassify species with unusual thermal distributions. Through this process we classified species into five thermal guilds that may be useful for surface water temperature regulation in Wyoming. Our approach addresses the limitations identified for field and laboratory data and demonstrates a framework that could be used for incorporating multiple types of data to develop temperature standards.

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Presence-only biodiversity data are increasingly relied on in biodiversity, ecology, and conservation research, driven by growing digital infrastructures that support open data sharing and reuse. Recent reviews of open biodiversity data have clearly documented the value of data sharing, but the extent to which the biodiversity research community has adopted open data practices remains unclear. We address this question by reviewing applications of presence-only primary biodiversity data, drawn from a variety of sources beyond open databases, in the indexed literature. We characterize how frequently researchers access open data relative to data from other sources, how often they share newly generated or collated data, and trends in metadata documentation and data citation. Our results indicate that biodiversity research commonly relies on presence-only data that are not openly available and neglects to make such data available. Improved data sharing and documentation will increase the value, reusability, and reproducibility of biodiversity research.

The causes and consequences of global change are well-documented, as are mitigation and adaptation strategies. However, human actions continue to fail in building adequate socio-ecological resilience to the accelerating threats of global change. Translational science, which focuses on connecting scientific research to human benefits, is imperative to building resilience to a confluence of global change threats because it brings the implications of theory and empirical research into practice. Translational ecology, an approach to knowledge co-creation that is grounded in equitable, inclusive, empathetic, and just partnerships among administrators, policy makers, scholars, practitioners, and the public, has immense potential to bring about the rapid and expansive social, ecological and political changes necessary to build resilience to global change threats. Here, we articulate a need for greater engagement of ecologists and other professionals in translational initiatives addressing seven major resilience building challenges, and propose a framework that lowers barriers to participation and promotes stronger relationships among stakeholders. We recommend specific actions that ecologists can take based on their situation, as well as evidence and demonstrated need, to foster resilience building through their contributions to communication, policy, education, knowledge creation, leadership, and service as role models. We conclude with an urgent call for expansive engagement of ecologists and other professionals in initiatives that combat misinformation, partner equitably with communities in knowledge creation, cultivate empathy and compassion, bolster public trust in science, and ultimately build decentralized communities of practice that enable rapid and high-impact responses to global change.