Insights and approaches using deep learning to classify wildlife.

The implementation of intelligent software to identify and classify objects and individuals in visual fields is a technology of growing importance to operatives in many fields, including wildlife conservation and management. To non-experts, the methods can be abstruse and the results mystifying. Here, in the context of applying cutting edge methods to classify wildlife species from camera-trap data, we shed light on the methods themselves and types of features these methods extract to make efficient identifications and reliable classifications. The current state of the art is to employ convolutional neural networks (CNN) encoded within deep-learning algorithms. We outline these methods and present results obtained in training a CNN to classify 20 African wildlife species with an overall accuracy of 87.5% from a dataset containing 111,467 images. We demonstrate the application of a gradient-weighted class-activation-mapping (Grad-CAM) procedure to extract the most salient pixels in the final convolution layer. We show that these pixels highlight features in particular images that in some cases are similar to those used to train humans to identify these species. Further, we used mutual information methods to identify the neurons in the final convolution layer that consistently respond most strongly across a set of images of one particular species. We then interpret the features in the image where the strongest responses occur, and present dataset biases that were revealed by these extracted features. We also used hierarchical clustering of feature vectors (i.e., the state of the final fully-connected layer in the CNN) associated with each image to produce a visual similarity dendrogram of identified species. Finally, we evaluated the relative unfamiliarity of images that were not part of the training set when these images were one of the 20 species "known" to our CNN in contrast to images of the species that were "unknown" to our CNN

Monitoring canid scent marking in space and time using a biologging and machine learning approach

For canid species, scent marking plays a critical role in territoriality, social dynamics, and reproduction. However, due in part to human dependence on vision as our primary sensory modality, research on olfactory communication is hampered by a lack of tractable methods. In this study, we leverage a powerful biologging approach, using accelerometers in concert with GPS loggers to monitor and describe scent-marking events in time and space. We performed a validation experiment with domestic dogs, monitoring them by video concurrently with the novel biologging approach. We attached an accelerometer to the pelvis of 31 dogs (19 males and 12 females), detecting raised-leg and squat posture urinations by monitoring the change in device orientation. We then deployed this technique to describe the scent marking activity of 3 guardian dogs as they defend livestock from coyote depredation in California, providing an example use-case for the technique. During validation, the algorithm correctly classifed 92% of accelerometer readings. High performance was partly due to the conspicuous signatures of archetypal raised-leg postures in the accelerometer data. Accuracy did not vary with the weight, age, and sex of the dogs, resulting in a method that is broadly applicable across canid species’ morphologies. We also used models trained on each individual to detect scent marking of others to emulate the use of captive surrogates for model training. We observed no relationship between the similarity in body weight between the dog pairs and the overall accuracy of predictions, although models performed best when trained and tested on the same individual. We discuss how existing methods in the feld of movement ecology can be extended to use this exciting new data type. This paper represents an important frst step in opening new avenues of research by leveraging the power of modern-technologies and machine-learning to this feldFil: Bidder, Owen. University of California at Berkeley; Estados UnidosFil: Di Virgilio, Agustina Soledad. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto de Investigaciones en Biodiversidad y Medioambiente. Universidad Nacional del Comahue. Centro Regional Universidad Bariloche. Instituto de Investigaciones en Biodiversidad y Medioambiente; ArgentinaFil: Hunter, Jennifer. University of California at Berkeley; Estados UnidosFil: McInturff, Alex. University of California at Berkeley; Estados UnidosFil: Gaynor, Kaitlyn. University of California at Berkeley; Estados UnidosFil: Smith, Alison. University of California at Berkeley; Estados UnidosFil: Dorcy, Janelle. University of California at Berkeley; Estados UnidosFil: Rosell, Frank. University of South-Eastern Norway; Norueg

Status of Muon Collider Research and Development and Future Plans

The status of the research on muon colliders is discussed and plans are outlined for future theoretical and experimental studies. Besides continued work on the parameters of a 3-4 and 0.5 TeV center-of-mass (CoM) energy collider, many studies are now concentrating on a machine near 0.1 TeV (CoM) that could be a factory for the s-channel production of Higgs particles. We discuss the research on the various components in such muon colliders, starting from the proton accelerator needed to generate pions from a heavy-Z target and proceeding through the phase rotation and decay ($\pi \to \mu \nu_{\mu}$) channel, muon cooling, acceleration, storage in a collider ring and the collider detector. We also present theoretical and experimental R & D plans for the next several years that should lead to a better understanding of the design and feasibility issues for all of the components. This report is an update of the progress on the R & D since the Feasibility Study of Muon Colliders presented at the Snowmass'96 Workshop [R. B. Palmer, A. Sessler and A. Tollestrup, Proceedings of the 1996 DPF/DPB Summer Study on High-Energy Physics (Stanford Linear Accelerator Center, Menlo Park, CA, 1997)].Comment: 95 pages, 75 figures. Submitted to Physical Review Special Topics, Accelerators and Beam

Meeting at the Crossroads: Environmental Justice and Large Carnivore Conservation

As global environmental changes continue to accelerate, research and practice in the field of conservation biology may be essential to help forestall precipitous declines in the earth’s ability to sustain a diversity of life. However, many conservation programs have faced scrutiny for the social injustices they create, especially within the paradigm of demarcating protected areas. Currently, a new conservation paradigm emphasizing human-wildlife coexistence is emerging, and with it, an opportunity to ensure that justice for both human and beyond-human groups is given consideration. Recovery programs for large carnivore species, like orcas, are a practice emblematic of this new conservation paradigm, and require insights from theories and practices from environmental justice to detail the many forms of justice at stake. A pluralistic application of justice is required to ensure that new conservation practices do not produce and reproduce injustices for people. In addition, the success of these emerging programs in meeting their conservation goals in fact depends on meaningfully addressing a range of justice concerns. Conservation of large carnivore species like orcas also reveal domains in which environmental justice scholarship can expand its scope. In particular, the novel concept of affective environmental justice, which describes the complex role of emotions as an environmental harm, as a disruptor of understanding other forms of justice, and as a link between logics of oppression, merits further examination. An environmental justice framework offers a comprehensive resource to work through in planning and implementing a large carnivore recoveries further aligning conservation and environmental justice in research and practice

Wild Urban Injustice: A Critical POET Model to Advance Environmental Justice

Background: People and wildlife can both be the subjects of environmental injustice. Although their experiences are clearly not the same, shared logics of oppression often impose harms through the environment on vulnerable and marginalized people and free-living nonhuman animals. Critical environmental justice provides a matrix for analyzing and addressing arrangements of power across categories of difference, whereas human ecology approaches offer frameworks for analyzing interactions across human and environmental systems in urban contexts. We develop a new analytical model—critical population, organization, environment, technology (POET)—to strengthen approaches to studying human-environmental problems by integrating the four pillars of critical environmental justice with the four dimensions of the human ecology POET model. Methods: This article uses a case study approach of coyotes living in urban areas to demonstrate one use of the critical POET model to analyze linkages between injustices across humans, wildlife, and the environment. Results: Urbanization as a core spatial logic—through the twin forces of institutional racism and speciesism—has perpetrated harms against people of color and coyotes. Discussion: Identifying shared logics of oppression is a key step toward the realization of a robust multispecies approach to environmental justice. Conclusion: The critical POET model provides a matrix for analyzing interactions and relationships that produce and maintain social and environmental injustices for historically and contemporarily marginalized groups, both human and nonhuman

Patterns of coyote predation on sheep in California: A socio-ecological approach to mapping risk of livestock-predator conflict

Conflict between livestock producers and wild predators is a central driver of large predator declines and simultaneously may imperil the lives and livelihoods of livestock producers. There is a growing recognition that livestock–predator conflict is a socio‐ecological problem, but few case studies exist to guide conflict research and management from this point of view. Here we present a case study of coyote‐sheep predation on a California ranch in which we combine methods from the rapidly growing field of predation risk modeling with participatory mapping of perceptions of predation risk. Our findings reveal an important selection bias that may occur when producer perceptions and decisions are excluded from ecological methods of studying conflict. We further demonstrate how producer inputs, participatory mapping, and ecological modeling of conflict can inform one another in understanding patterns, drivers, and management opportunities for livestock–predator conflict. Finally, we make recommendations for improving the interoperability of ecological and social data about predation risk. Collectively our methods offer a socio‐ecological approach that fills important research gaps and offers guidance to future research

Meeting at the crossroadsAn environmental justice framework for large carnivore reintroductions and recoveries

As global environmental changes continue to accelerate, research and practice in the field of conservation biology may be essential to help forestall precipitous declines in the earth's ability to sustain a diversity of life. However, many conservation programs have faced scrutiny for the social injustices they create, especially within the paradigm of demarcating protected lands. Currently, a new conservation paradigm emphasizing landscapes shared by people and wildlife is emerging, and with it, an opportunity to ensure that justice for both human and beyond-human groups is given consideration. Here, we examine a practice emblematic of this new conservation paradigm, the reintroduction and recovery of large carnivore species, and draw from theories in environmental justice to detail the many forms of justice at stake in these efforts. Our analysis shows that a pluralistic application of justice is required to ensure that new conservation practices do not produce and reproduce injustices for people. In addition, we show that the success of these emerging programs in meeting their conservation goals in fact depends on meaningfully addressing a range of justice concerns. By developing this framework, we also identify domains in which environmental justice scholarship can expand its scope. To this end, we introduce the novel concept of affective environmental justice, which describes the complex role of emotions as environmental harms, as disruptors of understanding other forms of justice, and as links between logics of oppression. Our framework offers a comprehensive resource to work through in planning and implementing large carnivore reintroduction and recovery programs, and we conclude by describing the challenges and opportunities for further aligning conservation and environmental justice in research and practice

Human infectious disease burdens decrease with urbanization but not with biodiversity

Infectious disease burdens vary from country to country and year to year due to ecological and economic drivers. Recently, Murray et al. (Murray CJ et al 2012 Lancet380, 2197-2223. (doi:10.1016/S0140-6736(12)61689-4)) estimated country-level morbidity and mortality associated with a variety of factors, including infectious diseases, for the years 1990 and 2010. Unlike other databases that report disease prevalence or count outbreaks per country, Murray et al. report health impacts in per-person disability-adjusted life years (DALYs), allowing comparison across diseases with lethal and sublethal health effects. We investigated the spatial and temporal relationships between DALYs lost to infectious disease and potential demographic, economic, environmental and biotic drivers, for the 60 intermediate-sized countries where data were available and comparable. Most drivers had unique associations with each disease. For example, temperature was positively associated with some diseases and negatively associated with others, perhaps due to differences in disease agent thermal optima, transmission modes and host species identities. Biodiverse countries tended to have high disease burdens, consistent with the expectation that high diversity of potential hosts should support high disease transmission. Contrary to the dilution effect hypothesis, increases in biodiversity over time were not correlated with improvements in human health, and increases in forestation over time were actually associated with increased disease burden. Urbanization and wealth were associated with lower burdens for many diseases, a pattern that could arise from increased access to sanitation and healthcare in cities and increased investment in healthcare. The importance of urbanization and wealth helps to explain why most infectious diseases have become less burdensome over the past three decades, and points to possible levers for further progress in improving global public health.This article is part of the themed issue 'Conservation, biodiversity and infectious disease: scientific evidence and policy implications'

Conservation at the edges of the world

Remote areas harbor some of the world’s most undisturbed ecosystems. Major conservation gains can be made by effectively protecting nature in these remote zones. Conducting conservation work in remote settings presents both unique challenges and promising opportunities. We discuss how five commonly used approaches for conservation (buy and protect conservation; conservation motivated by the intrinsic values of nature; ecosystem service based conservation; ecotourism driven conservation; and conservation enabled by community planning) can be optimally applied to protect ecosystems in these special settings. In this discussion we draw examples from two model remote sites: Palmyra and Tabuaeran Atolls. Spatial analyses conducted using population density as a proxy for remoteness indicate that many existing recognized protected areas already include remote regions, but that the vast majority of the overall remote zones on the planet are not yet formally protected. Initiating discussions that directly consider both the roadblocks and opportunities for conservation in remote areas will help increase our odds of successfully protecting biodiversity in these unique and strategically important contexts