Search

Abstract Effective approaches are needed to conserve the planet's remaining wildlife and wilderness landscapes, especially concerning global biodiversity conservation targets. Here, we present a new software system called EarthRanger: an open‐source platform built to help monitor, research and manage ecosystems. EarthRanger consists of seven main components (Core Server, API, Storage, Gundi, Web App, Mobile App, Ecoscope) that provide functionality for data (i) aggregation & collection, (ii) storage & management, (iii) real‐time and post hoc analysis, (iv) visualisation and (v) dissemination. The mobile application provides field‐based data recording and visualisation tools. EarthRanger may be deployed for single project use or can aggregate across multiple geographies as a centralised hub. EarthRanger can be used to collect standardised tracking data (e.g. from wildlife collars, vehicles and ranger patrols) and configurable event information (e.g. a singular recording with associated user‐defined attribute information such as a wildlife sighting or encounter with a poacher). Since development began in 2015, the platform has (at the time of writing) been deployed at over 500 sites across 70 countries and with myriad configurations and objectives. EarthRanger has improved the ability to monitor data feeds and manage conservation‐related operations in real time. For instance, the deployment of EarthRanger by African Parks has led to the removal of over 50,000 snares, steady population growth of key species of concern and near cessation of poaching. In Liwonde's protected area, enhanced mitigation efforts supported by EarthRanger reduced the number of deaths from wildlife conflict by more than 91%. EarthRanger is also providing a platform to enhance standardisation, aggregation, transfer and long‐term storage of ecological information and promote collaboration between groups conducting protected area management and ecology and biodiversity research.

Abstract To conserve wide‐ranging species in degraded landscapes, it is essential to understand how the behavior of animals changes in relation to the degree and composition of modification. Evidence suggests that large inter‐individual variation exists in the propensity for use of degraded areas and may be driven by both behavioral and landscape factors. The use of cultivated lands by wildlife is of particular interest, given the importance of reducing human‐wildlife conflicts and understanding how such areas can function as biodiversity buffers. African elephant space use can be highly influenced by human activity and the degree to which individuals crop‐raid. We analyzed GPS data from 56 free‐ranging elephants in the Serengeti‐Mara Ecosystem using resource selection functions (RSFs) to assess how crop use may drive patterns of resource selection and space use within a population. We quantified drivers of similarity in resource selection across individuals using proximity analysis of individual RSF coefficients derived from random forest models. We found wide variation in RSF coefficient values between individuals indicating strongly differentiated resource selection strategies. Proximity assessment indicated the degree of crop use in the dry season, individual repeatability, and time spent in unprotected areas drove similarity in resource selection patterns. Crop selection was also spatially structured in relation to agricultural fragmentation. In areas with low fragmentation, elephants spent less time in crops and selected most strongly for crops further from protected area boundaries, but in areas of high fragmentation, elephants spent twice as much time in crops and selected most strongly for crops closer to the protected area boundary. Our results highlight how individual differences and landscape structure can shape use of agricultural landscapes. We discuss our findings in respect to the conservation challenges of human‐elephant conflict and incorporating behavioral variation into human‐wildlife coexistence efforts.

Abstract Understanding drivers of space use by African elephants is critical to their conservation and management, particularly given their large home-ranges, extensive resource requirements, ecological role as ecosystem engineers, involvement in human-elephant conflict and as a target species for ivory poaching. In this study we investigated resource selection by elephants inhabiting the Greater Mara Ecosystem in Southwestern Kenya in relation to three distinct but spatially contiguous management zones: (i) the government protected Maasai Mara National Reserve (ii) community-owned wildlife conservancies, and (iii) elephant range outside any formal wildlife protected area. We combined GPS tracking data from 49 elephants with spatial covariate information to compare elephant selection across these management zones using a hierarchical Bayesian framework, providing insight regarding how human activities structure elephant spatial behavior. We also contrasted differences in selection by zone across several data strata: sex, season and time-of-day. Our results showed that the strongest selection by elephants was for closed-canopy forest and the strongest avoidance was for open-cover, but that selection behavior varied significantly by management zone and selection for cover was accentuated in human-dominated areas. When contrasting selection parameters according to strata, variability in selection parameter values reduced along a protection gradient whereby elephants tended to behave more similarly (limited plasticity) in the human dominated, unprotected zone and more variably (greater plasticity) in the protected reserve. However, avoidance of slope was consistent across all zones. Differences in selection behavior was greatest between sexes, followed by time-of-day, then management zone and finally season (where seasonal selection showed the least differentiation of the contrasts assessed). By contrasting selection coefficients across strata, our analysis quantifies behavioural switching related to human presence and impact displayed by a cognitively advanced megaherbivore. Our study broadens the knowledge base about the movement ecology of African elephants and builds our capacity for both management and conservation.

Introduction: The Remote First Aid Self-Efficacy Scale was originally developed as a 30-item self-report instrument designed as an evaluation tool for training providers and a reflection tool for course participants. Remote first aid training courses and programs are designed for remote communities, worksites, and other wilderness contexts involving activities such as recreation, education, and therapy. Self-efficacy refers to the strength of the beliefs a person has in their capacity to organize and take the necessary actions towards any given attainment. The purpose of our study was to measure the reliability and validity of the 15-Item Remote First Aid Self-Efficacy Scale (RFA SES) in French and English populations. Methods: Alumni from SIRIUSMEDx wilderness first aid courses were invited via email to complete either a French or English online questionnaire at two different time periods (T1 & T2). Data collection involved using online questionnaires containing demographic questions, the 15-Item RFA SES, and the 10-Item Generalized Self-Efficacy Scale (GSES). Data analysis involved assessing the scale for internal consistency, test re-test reliability, and concurrent validity. Results: There were 58 French and 47 English alumni respondents from SIRIUSMEDx courses for a total of 105 respondents. Internal consistency was high amongst the French group (alpha = .95) and the English group (alpha = .92). Test re-test reliability was high amongst the French group, (r = 0.78, p < .01), and the English group (r = .92, p < .01). The correlations between the RFS SES and GSES were positive and moderate in the French group (r = 0.53, p < .01), as well as in the English group (r = 0.32, p = .03). Conclusions: Results from this study suggest that both the French and English 15-Item RFA SES are reliable and valid. This shorter 15-item version is now available for use, along with the original validated 30-Item version of the RFA SES. Future research should focus on validation of the scale in other contexts and populations, using the scale as a participant reflection tool, and using it for evaluation of training programs and courses.

Abstract. In the United States, pulmonary embolism (PE) accounts for approximately 10% of all pregnancy related deaths. The standard treatment for a patient with high-risk PE is systemic thrombolysis. Systemic thrombolysis in pregnancy is associated with the risk of maternal hemorrhage and fetal complications, including spontaneous abortion, preterm delivery, and fetal bleeding. Currently, there is limited evidence for a standardized approach for the treatment and management of intermediate- and high-risk PEs in pregnancy. A 36-year-old gravida 3 para 2002 woman at 31+1 weeks of gestation with a history of deep vein thrombosis in her prior pregnancy presented with shortness of breath. A computed tomography angiogram revealed a large pulmonary embolus with a saddle component that extended into the bilateral upper and lower lobes and into the secondary and tertiary pulmonary branches. A subsequent bedside echocardiogram demonstrated a dilated right ventricle with severely reduced right ventricular systolic function. The patient was successfully treated with bilateral ultrasound-assisted catheter-directed thrombolysis. She subsequently delivered a healthy male infant at term. Reported cases of ultrasound-assisted catheter-directed thrombolysis in pregnant patients is limited. Our case demonstrates that localized thrombolysis is a viable treatment option for life-threatening PE in pregnancy. Catheter-directed thrombolysis can be efficacious in treating intermediate- and high-risk PEs in pregnancy while simultaneously reducing the risk of bleeding complications.