Community scientists produce open data for understanding insects and climate change.

Insect species are responding to human-caused global changes, sparking an urgent need for more conservation and management. Recent publications indicate the speed and scale of these changes to be both fast and large, impacting ecosystem function and human health. Community scientists are contributing vast amounts of data on insect occurrence and abundance to publicly available biodiversity platforms. These data are then used by ecologists to estimate insect diversity and distributions and forecast species' responses to the stressors of the Anthropocene. Yet, challenges remain with taxonomy, species identification, and sampling, some of which can be improved by new tools and approaches. Here we review the open, global community science programs providing the majority of publicly available insect data. We explore the advantages, challenges, and next steps with these large-scale community science ventures, emphasizing the importance of collaboration between professionals and community scientists to jointly address the conservation of insects.

Fewer butterflies seen by community scientists across the warming and drying landscapes of the American West.

Uncertainty remains regarding the role of anthropogenic climate change in declining insect populations, partly because our understanding of biotic response to climate is often complicated by habitat loss and degradation among other compounding stressors. We addressed this challenge by integrating expert and community scientist datasets that include decades of monitoring across more than 70 locations spanning the western United States. We found a 1.6% annual reduction in the number of individual butterflies observed over the past four decades, associated in particular with warming during fall months. The pervasive declines that we report advance our understanding of climate change impacts and suggest that a new approach is needed for butterfly conservation in the region, focused on suites of species with shared habitat or host associations.

Candidate gene analysis of metamorphic timing in ambystomatid salamanders.

Although much is known about the ecological significance of metamorphosis and metamorphic timing, few studies have examined the underlying genetic architecture of these traits, and no study has attempted to associate phenotypic variation to molecular variation in specific genes. Here we report on a candidate gene approach (CGA) to test specific loci for a statistical contribution to variation in metamorphic timing. Three segregating populations (SP1, SP2 and SP3) were constructed utilizing three species of paedomorphic Mexican ambystomatid salamander, including the axolotl, Ambystoma mexicanum. We used these replicated species to test the hypothesis that inheritance of alternate genotypes at two thyroid hormone receptor loci (TRalpha, TRbeta) affects metamorphic timing in ambystomatid salamanders. A significant TRalpha*SP effect indicated that variation in metamorphic timing may be influenced by TRalpha genotype, however, the effect was not a simple one, as both the magnitude and direction of the phenotypic effect depended upon the genetic background. These are the first data to implicate a specific gene in contributing to variation in metamorphic timing. In general, candidate gene approaches can be extended to any number of loci and to any organism where simple genetic crosses can be performed to create segregating populations. The approach is thus of particular value in ecological studies where target genes have been identified but the study organism is not one of the few well-characterized model systems that dominate genetic research.