Agro ParisTech

Waveguide-Enhanced Raman Spectroscopy (WERS) is a promising method for detecting chemical and biological compounds with high sensitivity and selectivity on a chip-scale platform. Many challenges in terms of waveguide design, packaging developments and data processing must be overcome for that technology to reach industrial applications. In this talk we will present the development of WERS sensors for industrial bioprocess monitoring.

Forests are a substantial terrestrial carbon sink, but anthropogenic changes in land use and climate have considerably reduced the scale of this system1. Remote-sensing estimates to quantify carbon losses from global forests2–5 are characterized by considerable uncertainty and we lack a comprehensive ground-sourced evaluation to benchmark these estimates. Here we combine several ground-sourced6 and satellite-derived approaches2,7,8 to evaluate the scale of the global forest carbon potential outside agricultural and urban lands. Despite regional variation, the predictions demonstrated remarkable consistency at a global scale, with only a 12% difference between the ground-sourced and satellite-derived estimates. At present, global forest carbon storage is markedly under the natural potential, with a total deficit of 226 Gt (model range = 151–363 Gt) in areas with low human footprint. Most (61%, 139 Gt C) of this potential is in areas with existing forests, in which ecosystem protection can allow forests to recover to maturity. The remaining 39% (87 Gt C) of potential lies in regions in which forests have been removed or fragmented. Although forests cannot be a substitute for emissions reductions, our results support the idea2,3,9 that the conservation, restoration and sustainable management of diverse forests offer valuable contributions to meeting global climate and biodiversity targets.

Abstract Climate change is altering thermal stratification in lakes worldwide. Reduction in winter mixing lead to prolonged oxygen depletion, lasting for years to centuries, potentially becoming permanent. Although there is convincing evidence of lake deoxygenation globally, its duration, timing, and impacts over decadal to centennial timescales remain uncertain. Here, we introduce a novel model-data assimilation approach using 150 years of limnological and paleolimnological data to evaluate the anthropogenic impact and future of deep dissolved oxygen in Lake Geneva. We find that climate change has influenced winter mixing, with divergent effects on bottom oxygen concentrations before and after eutrophication. Over centennial timescales, eutrophication, not climate warming, triggered unprecedented bottom-water hypoxia. However, by 2100, climate change will be the main driver of hypoxia in Lake Geneva and similar lakes, even with reduced phosphorus concentrations. With climate change locking in the effects of phosphorus loading on hypoxia, the significance of reducing loading remains intact.

A new class of furanic α,ω-dienes was synthesized by using cellulose-derived 2,5-bis(hydroxymethyl)furan as a renewable starting material. The ability of these monomers to undergo acyclic diene metathesis polymerization was investigated under various reaction conditions, including type of metathesis catalyst and catalyst loading. The resulting biobased polyethers were characterized through high-performance size exclusion chromatography, differential scanning calorimetry, and thermal gravimetric analysis. The novel polymers showed molecular weights up to 43 kDa and exhibited good thermal stability (Td5% up to 301 °C) and low glass-transition temperatures (−67 °C < Tg < −24 °C). Polymerization reactions were also conducted employing selected green solvents (Cyrene, dimethyl isosorbide, and γ-valerolactone), and the results were compared to those of the solvent-free procedure. Finally, in order to increase the Tg values of the polyethers, copolymerization experiments were performed employing the best performing furanic α,ω-diene as well as a biobased aromatic monomer derived from syringaresinol.

According to stakeholders, many European farming systems are close to critical thresholds regarding the challenges they face (e.g., droughts, price declines), functions they deliver (e.g., economic viability, biodiversity and habitat) and attributes required for resilience (e.g., social self-organization). To accelerate a transition process towards sustainable and resilient agriculture, this study aimed to identify actor-supported alternative systems across 10 European farming systems, and to identify associated future strategies that contribute to strengthening resilience attributes, using a backcasting approach. This paper synthesizes 1) the participatory identification of desired alternative systems and their expected performance on sustainability and resilience, 2) the participatory identification of strategies to realize those alternative systems, 3) the contribution of identified past and future strategies to 22 resilience attributes, and 4) the compatibility of the status quo and alternative systems with different future scenarios, the Eur-Agri-SSPs. Many identified alternative systems emphasized technology, diversification and organic and/or nature friendly farming, while in some farming systems also a focus on intensification, specialization, better product valorization, collaboration, or creating an attractive countryside could increase sustainability and resilience. Low economic viability limited farming system actors to pay attention to environmental and social functions. Further, most alternative systems were adaptations rather than transformations. Many stakeholders had difficulty to envisage systems without the main products (e.g., starch potato in NL-Arable, sheep in ES-Sheep and hazelnut in IT-Hazelnut), but in few cases transformative systems were designed (e.g. local organic farming in PL-Horticulture and RO-Mixed). Sustainability and resilience can be enhanced when alternative systems and strategies are combined, thereby improving multiple functions and attributes at once. In particular, production and legislation need to be coupled to local and natural capital. Identified alternative systems seem only compatible with Eur-Agri-SSP1 ‘agriculture on sustainable paths’. This requires policies at EU-level that stimulate macro-level social, institutional, economic, and technological developments that strengthen this scenario. We conclude that to get stakeholders along, incremental adaptation rather than radical transformation should be sought. The identification of alternative systems is only a start for the transition process. Their analysis, along with the strategies identified, need to trigger the involvement of farmers and other ‘enabling actors’ inside and outside the farming systems to make a change, and where needed, systems can evolve into more transformative systems.

The tropical forest carbon sink is known to be drought sensitive, but it is unclear which forests are the most vulnerable to extreme events. Forests with hotter and drier baseline conditions may be protected by prior adaptation, or more vulnerable because they operate closer to physiological limits. Here we report that forests in drier South American climates experienced the greatest impacts of the 2015–2016 El Niño, indicating greater vulnerability to extreme temperatures and drought. The long-term, ground-measured tree-by-tree responses of 123 forest plots across tropical South America show that the biomass carbon sink ceased during the event with carbon balance becoming indistinguishable from zero (−0.02 ± 0.37 Mg C ha−1 per year). However, intact tropical South American forests overall were no more sensitive to the extreme 2015–2016 El Niño than to previous less intense events, remaining a key defence against climate change as long as they are protected.

Predicting drought-induced mortality (DIM) of woody plants remains a key research challenge under climate change. Here, we integrate information on the edaphoclimatic niches, phylogeny and hydraulic traits of species to model the hydraulic risk of woody plants globally. We combine these models with species distribution records to estimate the hydraulic risk faced by local woody plant species assemblages. Thus, we produce global maps of hydraulic risk and test for its relationship with observed DIM. Our results show that local assemblages modelled as having higher hydraulic risk present a higher probability of DIM. Metrics characterizing this hydraulic risk improve DIM predictions globally, relative to models accounting only for edaphoclimatic predictors or broad functional groupings. The methodology we present here allows mapping of functional trait distributions and elucidation of global macro-evolutionary and biogeographical patterns, improving our ability to predict potential global change impacts on vegetation.

Here we present a method to reduce the photobleaching of fluorescent proteins and the associated phototoxicity. It exploits a photophysical process known as reverse intersystem crossing, which we induce by near-infrared co-illumination during fluorophore excitation. This dual illumination method reduces photobleaching effects 1.5–9.2-fold, can be easily implemented on commercial microscopes and is effective in eukaryotic and prokaryotic cells with a wide range of fluorescent proteins.

Microbiomes have highly important roles for ecosystem functioning and carry out key functions that support planetary health, including nutrient cycling, climate regulation, and water filtration. Microbiomes are also intimately associated with complex multicellular organisms such as humans, other animals, plants, and insects and perform crucial roles for the health of their hosts. Although we are starting to understand that microbiomes in different systems are interconnected, there is still a poor understanding of microbiome transfer and connectivity. In this review we show how microbiomes are connected within and transferred between different habitats and discuss the functional consequences of these connections. Microbiome transfer occurs between and within abiotic (e.g., air, soil, and water) and biotic environments, and can either be mediated through different vectors (e.g., insects or food) or direct interactions. Such transfer processes may also include the transmission of pathogens or antibiotic resistance genes. However, here, we highlight the fact that microbiome transmission can have positive effects on planetary and human health, where transmitted microorganisms potentially providing novel functions may be important for the adaptation of ecosystems.