We describe a novel video system constructed from readily available security equipment for recording insect predator behavior in the field. Our system consists of a multi-channel digital video recorder (DVR), active night vision cameras, a deep cycle marine battery, and a weatherproof housing. The major advantages of these systems over previous generations of video equipment include reduced expense, improved deployment times, faster frames per second, and higher video resolution. We tested our systems in a pair of experiments: the first assessed the effects of ground cover on predation of key pests in blueberries, and the second investigated predator activity in corn and perennial prairie systems. We identified ants as the most frequent predators in all three ecosystems, with notable activity from arachnids, crickets, and mollusks. Interactions between coleopterans and prey were surprisingly infrequent in all three agroecosystems. Ants were observed under both day and night conditions, while other predators were primarily nocturnal. Ground covers did not significantly affect predator activity in blueberries, but there was a numerical reduction in ant activity on woodchips and weed barrier compared to grass and bare ground. The predator complex observed in blueberry video footage differed considerably from pitfall captures at the same site. In corn fields, prey mortality significantly increased with ant activity, and high prey mortality was associated with long interactions that involved large numbers of ant foragers. Digital videography of insect predators is a very useful tool for identifying key taxa responsible for the removal of sentinel prey and documenting their behavior.

AbstractA fundamental problem in ecology is understanding how to scale discoveries: from patterns we observe in the lab or the plot to the field or the region or bridging between short term observations to long term trends. At the core of these issues is the concept of trajectory—that is, when can we have reasonable assurance that we know where a system is going? In this paper, we describe a non-random resampling method to directly address the temporal aspects of scaling ecological observations by leveraging existing data. Findings from long-term research sites have been hugely influential in ecology because of their unprecedented longitudinal perspective, yet short-term studies more consistent with typical grant cycles and graduate programs are still the norm.We directly address bridging the gap between the short-term and the long-term by developing an automated, systematic resampling approach: in short, we repeatedly ‘sample’ moving windows of data from existing long-term time series, and analyze these sampled data as if they represented the entire dataset. We then compile typical statistics used to describe the relationship in the sampled data, through repeated samplings, and then use these derived data to gain insights to the questions: 1) how often are the trends observed in short-term data misleading, and 2) can we use characteristics of these trends to predict our likelihood of being misled? We develop a systematic resampling approach, the ‘bad-breakup’ algorithm, and illustrate its utility with a case study of firefly observations produced at the Kellogg Biological Station Long-Term Ecological Research Site (KBS LTER). Through a variety of visualizations, summary statistics, and downstream analyses, we provide a standardized approach to evaluating the trajectory of a system, the amount of observation required to find a meaningful trajectory in similar systems, and a means of evaluating our confidence in our conclusions.

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Ixodes scapularis (deer ticks) are a taxon of ecological and human health concern due to their status as primary vectors of Borrelia burgdorferi, the bacteria that transmits Lyme disease. Deer ticks are thought to be expanding in geographic range and population size across the eastern US, leading to concern that tick-vectored illness will correspondingly rise. However, because of wide variability in deer tick monitoring strategies, synthesis efforts may be limited by the sensitivity and reliability of data produced by existing long term studies, especially to inform forecasting and proactive deer tick management. To address this, we explicitly examined the role of how study design parameters affect the likelihood of observing temporal trends in deer tick studies. We used a moving window approach to investigate the temporal stability of deer tick population trajectories across the US. We found several study factors can have an impact on the likelihood of a study reaching stability and the likelihood of tick abundance data leading to misleading results if the study does not reach stability. Our results underscore the need for longer studies of deer ticks when trying to assess long term or broad spatial patterns. Moreover, our results showcase the importance of study length, sampling technique, life stage, and geographic scope in shaping the inferences from deer tick studies. This is especially important for synthesizing across the variety of existing surveys and for potential ecological forecasting.

In recent decades, there has been a move to "open" research, that is, to increase the reach of research products to broader audiences. One component of open access is accessibility. Accessibility generally refers to data and other products being free and open to use by others, but accessibility also refers to considering and meeting the needs of people with disabilities for participation and inclusion. Ensuring that visual content is understandable is a major component of ensuring open access publications are accessible, and alt text is a common way to make inaccessible images and non-text content more accessible. Using image accessibility and alt text as a lens, our objective was to evaluate how open access journals incorporate disability accessibility as part of open access publishing. Using a random sample of 300 English language open access journals, we assessed author guidelines to understand image requirements for submissions and open access statements to understand how journals conceive of openness and accessibility. We found that most open access journals do not include disability accessibility elements in their guidelines to authors when submitting images as part of their scholarship. While over half the journals had required parameters for image submission, none of them required alt text. And while the majority of journals included the word 'access' or 'accessibility' in their open access statements, almost none included disability or inclusion related terms. Our results highlight the importance of guidelines. Our findings speak to the limits of some of the current frameworks of open access. Incorporating disability accessibility into open access has the potential to bridge existing information inequalities for people with disabilities - and to make sure that mandates for open research do not exacerbate those inequalities.