An ecological framework for contextualizing carnivore–livestock conflict

Carnivore predation on livestock is a complex management and policy challenge, yet it is also intrinsically an ecological interaction between predators and prey. Human–wildlife interactions occur in socioecological systems in which human and environmental processes are closely linked. However, underlying human–wildlife conflict and key to unpacking its complexity are concrete and identifiable ecological mechanisms that lead to predation events. To better understand how ecological theory accords with interactions between wild predators and domestic prey, we developed a framework to describe ecological drivers of predation on livestock. We based this framework on foundational ecological theory and current research on interactions between predators and domestic prey. We used this framework to examine ecological mechanisms (e.g., density-mediated effects, behaviorally mediated effects, and optimal foraging theory) through which specific management interventions operate, and we analyzed the ecological determinants of failure and success of management interventions in 3 case studies: snow leopards (Panthera uncia), wolves (Canis lupus), and cougars (Puma concolor). The varied, context-dependent successes and failures of the management interventions in these case studies demonstrated the utility of using an ecological framework to ground research and management of carnivore–livestock conflict. Mitigation of human–wildlife conflict appears to require an understanding of how fundamental ecological theories work within domestic predator–prey systems.     

Semi-automated camera trap image processing for the detection of ungulate fence crossing events

Remote cameras are an increasingly important tool for ecological research. While remote camera traps collect field data with minimal human attention, the images they collect require post-processing and characterization before it can be ecologically and statistically analyzed, requiring the input of substantial time and money from researchers. The need for post-processing is due, in part, to a high incidence of non-target images. We developed a stand-alone semi-automated computer program to aid in image processing, categorization, and data reduction by employing background subtraction and histogram rules. Unlike previous work that uses video as input, our program uses still camera trap images. The program was developed for an ungulate fence crossing project and tested against an image dataset which had been previously processed by a human operator. Our program placed images into categories representing the confidence of a particular sequence of images containing a fence crossing event. This resulted in a reduction of 54.8% of images that required further human operator characterization while retaining 72.6% of the known fence crossing events. This program can provide researchers using remote camera data the ability to reduce the time and cost required for image post-processing and characterization. Further, we discuss how this procedure might be generalized to situations not specifically related to animal use of linear features.     

Sowing the seeds of resilience: a case study of community-based Indigenous seed conservation from Andhra Pradesh,India

ABSTRACT

Despite increasing evidence of threats to Indigenous food systems, many Indigenous communities are innovating to enhance their resilience while conserving and promoting their traditional food systems, offering important lessons for rural development policy. This community-based case study explores one such Indigenous initiative: Sanjeevini, in Andhra Pradesh, India. Sanjeevini has been effective in designing and implementing creative strategies for seed sovereignty and biocultural conservation. Interviews with key persons associated with Sanjeevini (n?=?8) and participatory field-research in the Araku Valley region, including interviews with small scale farmers (n?=?30), revealed community development strategies emphasising a link between biological and cultural heritage in Indigenous food systems. These include hosting cultural seed festivals, establishing and maintaining community-based seed banks, and facilitating inter-community seed exchanges. Importantly, these strategies take place against a backdrop of community-organising that counteracts the dominant neo-liberal development agenda while resisting deforestation that threatens Indigenous livelihoods. Sanjeevini’s success demonstrates that through the adaptive assertion of self-determination, rural social change is possible. This paper highlights alternative, community-driven articulations of seed sovereignty while underscoring the significance of this community’s own vision in guiding rural innovation and offering promising working models for cultivating rural resilience.