Sketching the Landscape for Lean Digital Transformation

Part 1: Lean ProductionInternational audienceLean management remains the most popular approach to operational excellence within industry. The next wave of industrial improvement is widely considered to be driven by the application of digital technologies. Organizations are seeking to understand how the two approaches can be utilized synergistically. This paper aims to sketch the landscape for current theories and managerial challenges facing Lean and digital transformation based on Lean principles with respect to organizational design, supply chain planning, decision systems and supplier relationships. We raise fundamental questions that should be addressed by future research in the field of digital lean manufacturing and lean digital transformations

Large-scale patterns in community structure of benthos and fish in the Barents Sea

Biogeographical patterns have an ecological basis, but few empirical studies possess the necessary scale and resolution relevant for investigation. The Barents Sea shelf provides an ideal study area, as it is a transition area between Atlantic and Arctic regions, and is sampled by a comprehensive survey of all major functional groups. We studied spatial variation in species composition of demersal fish and benthos to elucidate how fish and benthos communities co-varied in relation to environmental variables. We applied co-correspondence analysis on presence–absence data of 64 fishes and 302 benthos taxa from 329 bottom trawl hauls taken at the Barents Sea ecosystem survey in August–September 2011. We found highly significant similarities in the spatial pattern of distribution of benthos and fishes, despite their differences in motility and other ecological traits. The first common ordination axis separated boreal species in the south-west (Atlantic temperate water) from Arctic species in the north-east (Arctic cold water, ice-covered in winter). The second common axis separated shallow bank species from species found in deep basins and trenches. Our results show that fish and benthos communities had a similar relationship to the environmental gradients at the scale of hundreds to thousands of kilometres. We further discussed how fish–benthos interactions vary between sub-regions in the Barents Sea based on species traits and a food web topology for the Barents Sea. This study forms a basis for further investigations on links between fish and benthos communities in the Barents Sea

Environmental DNA from Seawater Samples Correlate with Trawl Catches of Subarctic, Deepwater Fishes

Remote polar and deepwater fish faunas are under pressure from ongoing climate change and increasing fishing effort. However, these fish communities are difficult to monitor for logistic and financial reasons. Currently, monitoring of marine fishes largely relies on invasive techniques such as bottom trawling, and on official reporting of global catches, which can be unreliable. Thus, there is need for alternative and non-invasive techniques for qualitative and quantitative oceanic fish surveys. Here we report environmental DNA (eDNA) metabarcoding of seawater samples from continental slope depths in Southwest Greenland. We collected seawater samples at depths of 188–918 m and compared seawater eDNA to catch data from trawling. We used Illumina sequencing of PCR products to demonstrate that eDNA reads show equivalence to fishing catch data obtained from trawling. Twenty-six families were found with both trawling and eDNA, while three families were found only with eDNA and two families were found only with trawling. Key commercial fish species for Greenland were the most abundant species in both eDNA reads and biomass catch, and interpolation of eDNA abundances between sampling sites showed good correspondence with catch sizes. Environmental DNA sequence reads from the fish assemblages correlated with biomass and abundance data obtained from trawling. Interestingly, the Greenland shark (Somniosus microcephalus) showed high abundance of eDNA reads despite only a single specimen being caught, demonstrating the relevance of the eDNA approach for large species that can probably avoid bottom trawls in most cases. Quantitative detection of marine fish using eDNA remains to be tested further to ascertain whether this technique is able to yield credible results for routine application in fisheries. Nevertheless, our study demonstrates that eDNA reads can be used as a qualitative and quantitative proxy for marine fish assemblages in deepwater oceanic habitats. This relates directly to applied fisheries as well as to monitoring effects of ongoing climate change on marine biodiversity—especially in polar ecosystems.Full Tex

Variation of interspecific interactions at different ecological levels within an assemblage of Arctic marine predators

International audienceHow interspecific interactions change across scales is poorly known. Such knowledge might help us understand how species interact within communities and highlight scale-dependent ecological processes in play among species. Here, I propose to analyze the inter-annual variation of a species assemblage at different ecological levels. For this, I joined a two-stage modeling approach and a spatially explicit multivariate model to analyze the interspecies relationships among six species of pelagic seabirds from 2004 to 2015 in the Barents Sea. The large-scale (~400 km) pattern of interactions revealed by the analyses suggests a change in the composition of the seabird community along the climatic gradient from south to north. At medium-scale (~300 km), the community was split into two areas (i.e., Arctic and sub-Arctic areas) suggesting niche differentiation of Arctic and sub-Arctic species driven by resource partitioning and interference competition. At a small-scale (~40 km), species with different body sizes were positively associated suggesting facilitation for accessing food although the species with the smallest body size was negatively associated with the species involved in the facilitation process suggesting interspecific interference competition. Over the years, the large-scale patterns were persistent, suggesting niche establishment, while small-scale patterns were highly variable suggesting only ephemeral interactions among species. My study demonstrates that interspecific relationships are scale-dependent and play major roles in structuring community. Untangling how species are associated with different ecological levels over time is indispensable to better understand how community structure contributes to ecological system dynamics