Towards a multisensor station for automated biodiversity monitoring

Rapid changes of the biosphere observed in recent years are caused by both small and large scale drivers, like shifts in temperature, transformations in land-use, or changes in the energy budget of systems. While the latter processes are easily quantifiable, documentation of the loss of biodiversity and community structure is more difficult. Changes in organismal abundance and diversity are barely documented. Censuses of species are usually fragmentary and inferred by often spatially, temporally and ecologically unsatisfactory simple species lists for individual study sites. Thus, detrimental global processes and their drivers often remain unrevealed. A major impediment to monitoring species diversity is the lack of human taxonomic expertise that is implicitly required for large-scale and fine-grained assessments. Another is the large amount of personnel and associated costs needed to cover large scales, or the inaccessibility of remote but nonetheless affected areas. To overcome these limitations we propose a network of Automated Multisensor stations for Monitoring of species Diversity (AMMODs) to pave the way for a new generation of biodiversity assessment centers. This network combines cutting-edge technologies with biodiversity informatics and expert systems that conserve expert knowledge. Each AMMOD station combines autonomous samplers for insects, pollen and spores, audio recorders for vocalizing animals, sensors for volatile organic compounds emitted by plants (pVOCs) and camera traps for mammals and small invertebrates. AMMODs are largely self-containing and have the ability to pre-process data (e.g. for noise filtering) prior to transmission to receiver stations for storage, integration and analyses. Installation on sites that are difficult to access require a sophisticated and challenging system design with optimum balance between power requirements, bandwidth for data transmission, required service, and operation under all environmental conditions for years. An important prerequisite for automated species identification are databases of DNA barcodes, animal sounds, for pVOCs, and images used as training data for automated species identification. AMMOD stations thus become a key component to advance the field of biodiversity monitoring for research and policy by delivering biodiversity data at an unprecedented spatial and temporal resolution. (C) 2022 Published by Elsevier GmbH on behalf of Gesellschaft fur Okologie

The journey travelled – A view of two settings a decade apart

Inclusion is generally recognized as an ongoing, active process which reflects shifts in policies, practice and values as well as political choices made over long periods of time. Although intended as a transformative concept it can also represent a messy compromise between congealed policy positions and contradictory practices. Against this background of compromise and dissatisfaction, this study aims to examine how two schools with clear inclusive aspirations and intentions have weathered the last decade. Drawing upon two research visits ten years apart in which the schools were filmed and members of the school community were interviewed, this study reports on their perception of the journey travelled. Data from the study shows that in both cases there was a shift away from practices which were previously seen as being a route towards greater inclusion. The causes for these shifts were political, economic and social factors underpinned by the pervasive influence of the special education and medical model on the two schools’ practice and principles

Design challenges of a highly integrated SDR platform for multiband spacecraft applications in radiation enviroments

Software-Defined Radios (SDR) are already widely-used and often implemented in terrestrial Radio Frequency (RF) and wireless applications. Even the very conservative and slow changing space industry has identified the benefits of reconfigurable radio systems and uses SDRs on satellites and space vehicles. Nevertheless, those systems are mostly inapplicable for lower- and mid-class mission, or are often limited in performance, reliability and are only available for a specific frequency band. This paper presents the approach for a reliable and highly integrated Generic Software Defined-Radio (GSDR) platform design, using state-of-the-art RF transceiver devices to provide multi-band applications on spacecraft. Design challenges under radiation environments for this GSDR platform are discussed and results of a pre-evolution test under selected radiation condition on a prototype are presented

Methods for clock signal characterization using FPGA resources

Reliable measurement of clock signal parameters is an important tool for calibration and validation of circuits used in precise-timing applications. Such parameters include frequency, phase, duty cycle and channel-to-channel skew. Especially in applications in which testing time for multiple channels is a significant factor, efficient parallelization of measurements is crucial, often coming with significant extra cost. We present a technique for characterization of clock signal parameters using off-the-shelf (FPGA) evaluation hardware. Two methods for both static measurements (steady-state behaviour) as well as dynamic measurements are presented. For the two measurement methods proposed, case studies are presented and their performance discussed

Thinking small: Next-generation sensor networks close the size gap in vertebrate biologging

Recent advances in animal tracking technology have ushered in a new era in biologging. However, the considerable size of many sophisticated biologging devices restricts their application to larger animals, whereas older techniques often still represent the state-of-the-art for studying small vertebrates. In industrial applications, low-power wireless sensor networks (WSNs) fulfill requirements similar to those needed to monitor animal behavior at high resolution and at low tag mass. We developed a wireless biologging network (WBN), which enables simultaneous direct proximity sensing, high-resolution tracking, and long-range remote data download at tag masses of 1 to 2 g. Deployments to study wild bats created social networks and flight trajectories of unprecedented quality. Our developments highlight the vast capabilities of WBNs and their potential to close an important gap in biologging: fully automated tracking and proximity sensing of small animals, even in closed habitats, at high spatial and temporal resolution