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En los Llanos Orientales de Colombia, la expansión de la agroindustria amenaza la biodiversidad, afectando particularmente a las especies que dependen de áreas boscosas y sabanas. Las plantaciones de marañón, al ofrecer vegetación arbórea, podrían servir como hábitat complementario, proporcionando alimento y corredores para el desplazamiento entre fragmentos de bosque. Sin embargo, su estructura y composición son menos diversas y complejas que la de bosques nativos. Por lo anterior, evaluamos el efecto del cultivo de marañón sobre la diversidad y uso de hábitat de las especies de mamíferos al comparar esta cobertura con el bosque y la sabana en un área de la altillanura colombiana. Instalamos cámaras trampa en plantaciones de marañón, bosque de galería y sabana en época de bajas precipitaciones y en época de lluvias. Registramos 22 especies de mamíferos terrestres, de las cuales nueve usaron las plantaciones de marañón. Cavia cf. aperea fue registrada exclusivamente en cultivo, mientras que dos especies se observaron solo en sabana y diez solo en bosque. Hubo diferencias significativas en la composición de especies entre las coberturas y el análisis de selección de hábitat mostró que cuatro especies prefieren los cultivos. La ocurrencia de Tapirus terrestris y Odocoileus virginianus estuvo relacionada con la distancia a vías, presentándose mayor tasa de captura a mayor distancia de las vías. Las plantaciones ofrecen hábitats complementarios para algunas especies de mamíferos. Sugerimos desarrollar estrategias de manejo que integren la conservación de hábitats naturales con prácticas agroindustriales adecuadas para conservar la diversidad de mamíferos de los llanos.

Fear of the human ‘super predator’ has been demonstrated to so alter the feeding behavior of large carnivores as to cause trophic cascades. It has yet to be experimentally tested if fear of humans has comparably large effects on the feeding behavior of large herbivores. We conducted a predator playback experiment exposing white-tailed deer to the vocalizations of humans, extant or locally extirpated non-human predators (coyotes, cougars, dogs, wolves), or non-predator controls (birds), at supplemental food patches to measure the relative impacts on deer feeding behavior. Deer were more than twice as likely to flee upon hearing humans than other predators, and hearing humans was matched only by hearing wolves in reducing overall feeding time gaged by visits to the food patch in the following hour. Combined with previous, site-specific research linking deer fecundity to predator abundance, this study reveals that fear of humans has the potential to induce a larger effect on ungulate reproduction than has ever been reported. By demonstrating that deer most fear the human ‘super predator’, our results point to the fear humans induce in large ungulates having population-and community-level impacts comparable to those caused by the fear humans induce in large carnivores.

Chronic wasting disease (CWD) is an efficiently transmitted prion disease of cervids, now identified in 22 United States, 2 Canadian provinces and Korea. One hallmark of CWD is the shedding of infectious prions in saliva, as demonstrated by bioassay in deer. It is also clear that the concentration of prions in saliva, blood, urine and feces is much lower than in the nervous system or lymphoid tissues. Rapid in vitro detection of CWD (and other) prions in body fluids and excreta has been problematic due to the sensitivity limits of direct assays (western blotting, ELISA) and the presence of inhibitors in these complex biological materials that hamper detection. Here we use real-time quaking induced conversion (RT-QuIC) to demonstrate CWD prions in both diluted and prion-enriched saliva samples from asymptomatic and symptomatic white-tailed deer. CWD prions were detected in 14 of 24 (58.3%) diluted saliva samples from CWD-exposed white-tailed deer, including 9 of 14 asymptomatic animals (64.2%). In addition, a phosphotungstic acid enrichment enhanced the RT-QuIC assay sensitivity, enabling detection in 19 of 24 (79.1%) of the above saliva samples. Bioassay in Tg[CerPrP] mice confirmed the presence of infectious prions in 2 of 2 RT-QuIC-positive saliva samples so examined. The modified RT-QuIC analysis described represents a non-invasive, rapid ante-mortem detection of prions in complex biologic fluids, excreta, or environmental samples as well as a tool for exploring prion trafficking, peripheralization, and dissemination.

En el presente estudio se informa sobre los parásitos encontrados en un venado de cola blanca, Odocoileus virginianus peruvianus, capturado en el bosque seco del distrito de Paccha, provincia de Chota, departamento de Cajamarca. El Servicio Nacional Forestal y de Fauna Silvestre recuperó los parásitos de un espécimen macho adulto y las remitió al Centro de Investigación en Medicina Tropical de la Universidad Nacional de Cajamarca para la identificación taxonómica de helmintos y artrópodos, y análisis coproparasitológico. Se identificaron dos metacéstodos correspondientes a Cysticercus tenuicollis. En los análisis coproparasitológicos cualitativos se hallaron huevos de Nematodirus spp. en una carga de 10 por gramo de heces (h.p.g.) y 40 h.p.g. tipo Strongílidos que no pudieron diferenciarse por la baja carga en el coprocultivo. No se detectaron huevos de trematodos en la sedimentación. De ectoparásitos, se identificaron ocho garrapatas duras Rhipicephalus (Boophilus) microplus y cinco piojos chupadores Solenopotes binipilosus. Varios de los ejemplares fueron depositados en el Museo de Historia Natural de la Universidad Nacional Mayor de San Marcos, Lima. Los hallazgos representan el primer reporte formal de la garrapata común del ganado en esta subespecie de cérvido. Además, se registra por primera vez la presencia del piojo Solenopotes binipilosus en territorio peruano.

Overabundant populations of white-tailed deer (Odocoileus virginianus) are becoming common in the eastern United States. Faced with burgeoning deer populations in eastern parks, the National Park Service (NPS) formulated policy based on its long experience with ungulate management in western parks. That the NPS failed to find a management solution acceptable to its many constituencies was inevitable. Like blind men touching different parts of an elephant and disagreeing about its form, those engaged in the debate about deer management in parks are viewing different parts of the ecological system. None has seen the entire system, and consequently, there is neither common agreement on the nature of the problem nor on the solutions. We explore the quandary of deer management in eastern parks by addressing three questions: (1) Can the National Park Service reconcile its management goals with those of its neighbors? (2) Can thresholds be identified for determining when to intervene in natural processes? (3) Is there a scientific foundation for proceeding with effective management of deer? We argue that reconciling the NPS management with that of state conservation agencies is not possible because management policy guides these agencies in opposite directions: the NPS is charged with limiting human impact on ecological processes, and state agencies are charged with exerting human control over population abundance. Questions about thresholds and a scientific basis for management arise from concern that irrupting deer populations are a manifestation of disrupted natural processes. Several population growth paradigms are at the heart of this ecological question. The science provides no consensus about which of these paradigms are appropriate to deer in eastern ecosystems. Thus, it is premature to expect science to identify if or when natural processes have been disrupted. While the NPS cannot effectively achieve its goals without better science, neither can it wait for science to fully understand the dynamics of plant-herbivore interactions. The best hope for resolving both the biological and political dilemmas surrounding deer management is through an adaptive management approach.

Deer (Cervidae) are key components of many ecosystems and estimating deer abundance or density is important to understanding these roles. Many field methods have been used to estimate deer abundance and density, but the factors determining where, when, and why a method was used, and its usefulness, have not been investigated. We systematically reviewed journal articles published during 2004–2018 to evaluate spatio-temporal trends in study objectives, methodologies, and deer abundance and density estimates, and determine how they varied with biophysical and anthropogenic attributes. We also reviewed the precision and bias of deer abundance estimation methods. We found 3,870 deer abundance and density estimates. Most estimates (58%) were for white-tailed deer (Odocoileus virginianus), red deer (Cervus elaphus), and roe deer (Capreolus capreolus). The 6 key methods used to estimate abundance and density were pedestrian sign (track or fecal) counts, pedestrian direct counts, vehicular direct counts, aerial direct counts, motion-sensitive cameras, and harvest data. There were regional differences in the use of these methods, but a general pattern was a temporal shift from using harvest data, pedestrian direct counts, and aerial direct counts to using pedestrian sign counts and motion-sensitive cameras. Only 32% of estimates were accompanied by a measure of precision. The most precise estimates were from vehicular spotlight counts and from capture–recapture analysis of images from motion-sensitive cameras. For aerial direct counts, capture–recapture methods provided the most precise estimates. Bias was robustly assessed in only 16 studies. Most abundance estimates were negatively biased, but capture–recapture methods were the least biased. The usefulness of deer abundance and density estimates would be substantially improved by 1) reporting key methodological details, 2) robustly assessing bias, 3) reporting the precision of estimates, 4) using methods that increase and estimate detection probability, and 5) staying up to date on new methods. The automation of image analysis using machine learning should increase the accuracy and precision of abundance estimates from direct aerial counts (visible and thermal infrared, including from unmanned aerial vehicles [drones]) and motion-sensitive cameras, and substantially reduce the time and cost burdens of manual image analysis.

Climate change is an increasing concern for wildlife managers across the United States and Canada. Because climate change may alter populations and harvest dynamics of key species in the region, midwestern states have identified the effects of climate change on ungulates as a priority research area. We conducted a literature review of projected climate change in the Midwest and the potential effects on white-tailed deer (Odocoileus virginianus) and moose (Alces alces). Warmer temperatures and decreasing snowpack in the region favor survival of white-tailed deer. In contrast, moose may become physiologically stressed in response to warming, and increasing deer populations spreading disease will exacerbate the problem. Although there is some uncertainty about exactly how the climate will change, and to what degree, robust projections suggest that deer populations will increase in response to climate change and moose populations will decrease. Managers can begin preparing for these changes by proactively creating management plans that take this into account.