Colonial Legacies Influence Biodiversity Lessons: How Past Trade Routes and Power Dynamics Shape Present-Day Scientific Research and Professional Opportunities for Caribbean Scientists.

AbstractScientists recognize the Caribbean archipelago as a biodiversity hotspot and employ it for their research as a natural laboratory. Yet they do not always appreciate that these ecosystems are in fact palimpsests shaped by multiple human cultures over millennia. Although post-European anthropogenic impacts are well documented, human influx into the region began about 5,000 years prior. Thus, inferences of ecological and evolutionary processes within the Caribbean may in fact represent artifacts of an unrecognized human legacy linked to issues influenced by centuries of colonial rule. The threats posed by stochastic natural and anthropogenically influenced disasters demand that we have an understanding of the natural history of endemic species if we are to halt extinctions and maintain access to traditional livelihoods. However, systematic issues have significantly biased our biological knowledge of the Caribbean. We discuss two case studies of the Caribbean's fragmented natural history collections and the effects of differing governance by the region's multiple nation states. We identify knowledge gaps and highlight a dire need for integrated and accessible inventorying of the Caribbean's collections. Research emphasizing local and international collaboration can lead to positive steps forward and will ultimately help us more accurately study Caribbean biodiversity and the ecological and evolutionary processes that generated it.

IxPopDyMod: an R package to write, run, and analyze tick population and infection dynamics models.

Given the increasing prevalence of tick-borne diseases, such as Lyme disease, modeling the population and infection dynamics of tick vectors is an important public health tool. These models have applications for testing the effects of control methods or climate change on tick populations. There is an established history of tick population models, but code for them is rarely shared, especially not in a convenient format for others to modify and use. We present an R package, called IxPopDyMod, intended to function as a flexible and consistent framework for reproducible Ixodidae (hard-bodied ticks) population dynamics models. Here we focus on two key parts of the package: a function to create valid model configurations and a function to run a configured model and return the daily population over time. We provide three examples in appendices: one reproducing an existing Ixodes scapularis population model, one providing a novel Dermacentor albipictus model, and one showing Borrelia burgdorferi infection in ticks. Together these examples show the flexibility of the package to model scenarios of interest to tick researches.