Description: The neritic-oceanic squid Illex argentinus supports one of the largest fisheries in the Southwest Atlantic. It is characterized by extensive migrations across the Patagonian Shelf and complex population structure comprising distinct seasonal spawning groups. To address uncertainty as to the demographic independence of these groups that may compromise sustainable management, a multidisciplinary approach was applied integrating statolith ageing with genome-wide single-nucleotide polymorphism (SNP) analysis. To obtain complete coverage of the spawning groups, sampling was carried out at multiple times during the 2020 fishing season and covered a large proportion of the species' range across the Patagonian Shelf. Statolith and microstructure analysis revealed three distinct seasonal spawning groups of winter-, spring-, and summer-hatched individuals. Subgroups were identified within each seasonal group, with statolith microstructure indicating differences in environmental conditions during ontogeny. Analysis of 〉10 000 SNPs reported no evidence of neutral or non-neutral genetic structure among the various groups. These findings indicate that I. argentinus across the Patagonian Shelf belong to one genetic population and a collaborative management strategy involving international stakeholders is required. The connectivity among spawning groups may represent a "bet-hedging" mechanism important for population resilience.

Description: The development and physiology of herring larvae were monitored for individuals reared in control and combined warming-acidification crossed with different food quality treatments. The experiment revealed that warming and acidification triggers a stress response at the molecular level and decrease herring larvae size-at-stage. Global change puts coastal systems under pressure, affecting the ecology and physiology of marine organisms. In particular, fish larvae are sensitive to environmental conditions, and their fitness is an important determinant of fish stock recruitment and fluctuations. To assess the combined effects of warming, acidification and change in food quality, herring larvae were reared in a control scenario (11 & DEG;C*pH 8.0) and a scenario predicted for 2100 (14 & DEG;C*pH 7.6) crossed with two feeding treatments (enriched in phosphorus and docosahexaenoic acid or not). The experiment lasted from hatching to the beginning of the post-flexion stage (i.e. all fins present) corresponding to 47 days post-hatch (dph) at 14 & DEG;C and 60 dph at 11 & DEG;C. Length and stage development were monitored throughout the experiment and the expression of genes involved in growth, metabolic pathways and stress responses were analysed for stage 3 larvae (flexion of the notochord). Although the growth rate was unaffected by acidification and temperature changes, the development was accelerated in the 2100 scenario, where larvae reached the last developmental stage at a smaller size (-8%). We observed no mortality related to treatments and no effect of food quality on the development of herring larvae. However, gene expression analyses revealed that heat shock transcripts expression was higher in the warmer and more acidic treatment. Our findings suggest that the predicted warming and acidification environment are stressful for herring larvae, inducing a decrease in size-at-stage at a precise period of ontogeny. This could either negatively affect survival and recruitment via the extension of the predation window or positively increase the survival by reducing the larval stage duration.

Description: The project "Plastic Credits - Financing the Transition to the Global Circular Economy" supports the implementation of a waste management structure in India's rural regions. By that it aims to improve the current waste collection and treatment structures in the pilot regions Goa, Maharashtra, and Kerala. Herein, the project focuses on low value plastics (LVP), and especially multi-layer plastics (MLP), that have no market value. In order to analyze the environmental impacts of the project, an Environmental Impact Assessment (EIA) was conducted. The considered environmental components comprise: greenhouse gas emissions, usage of primary resources, impacts on marine and terrestrial wildlife, standard of living, and economic costs.

Description: Biological invasions are a global challenge that has received insufficient attention. Recently available cost syntheses have provided policy- and decision makers with reliable and up-to-date information on the economic impacts of biological invasions, aiming to motivate effective management. The resultant InvaCost database is now publicly and freely accessible and enables rapid extraction of monetary cost information. This has facilitated knowledge sharing, developed a more integrated and multidisciplinary network of researchers, and forged multidisciplinary collaborations among diverse organizations and stakeholders. Over 50 scientific publications so far have used the database and have provided detailed assessments of invasion costs across geographic, taxonomic, and spatiotemporal scales. These studies have provided important information that can guide future policy and legislative decisions on the management of biological invasions while simultaneously attracting public and media attention. We provide an overview of the improved availability, reliability, standardization, and defragmentation of monetary costs; discuss how this has enhanced invasion science as a discipline; and outline directions for future development.

Description: This Wuppertal Paper analyses the energy transition models of Colombia and Germany. The emphasis of the exercise is on an analysis of options for the complete decarbonization of the energy system in Colombia as a Global South country. To this end, it analyses the current situation, projections, public policy and narratives, and contrasts it with Germany as one of the countries of the Global North with which Colombia has historically maintained energy trade relations and is currently collaborating in the exploration of energy alternatives for decarbonization. Detailed analysis of sectoral energy consumption in Colombia shows the sectors with the highest fossil energy consumption (in this order): transport (fuels), industry (gas, coal), electricity generation (gas, coal) and residential (gas). We show the projected increase in demand for fuels and electricity, and calculate the amount of electricity theoretically needed to substitute fossil sources in each sector. We estimate the total electricity required for decarbonization via sector coupling and derive a first estimation of the range of additional renewable energy capacities needed to supply this demand. We find that required capacities are expectedly large (56-110 GW), depending on decarbonization pathways, and that export capacity beyond national demand may be limited. Our analysis of the policy and scenario arena in both countries finds that Colombia is still lacking both sector-specific decarbonization strategies and an embedding in a systemic vision of a systemic energy transition. Germany has more advanced sector strategies and (national) systemic visions, but lacks embedding assumptions on energy imports in a global-system analysis, i.e. in the analysis of an energy transition in potential exporting countries like Colombia. We formulate requirements to close these gaps in our conclusions.

Description: In light of Egypt's transition to a green economy, this report focuses on reducing greenhouse gas (GHG) emissions and increasing resource efficiency along three different value chains in which small and medium-sized enterprises (SMEs) play a crucial role. In order to support SMEs in Egypt to take advantage of implementing greening options along value chains, more detailed analyses are needed. Therefore, the aim of this study is to analyse three selected supply chains to identify greening opportunities for SMEs. Against this background, the project report is structured as follows: Chapter 2 introduces the background with an overview over the concept of green economy followed by Egypt's economy and its green economy. This is followed by a presentation of the value chains and an overview of the respective sectors. Chapter 3 describes the research approach, methods and data collection. The following chapters examine the three selected value chains cotton, sugar beet and refrigerators, including environmental hot spots, greening options as well as the experts' evaluation of those greening options. The report concludes with key recommendations in Chapter 7.

Description: Machine learning covers a large set of algorithms that can be trained to identify patterns in data. Thanks to the increase in the amount of data and computing power available, it has become pervasive across scientific disciplines. We first highlight why machine learning is needed in marine ecology. Then we provide a quick primer on machine learning techniques and vocabulary. We built a database of & SIM;1000 publications that implement such techniques to analyse marine ecology data. For various data types (images, optical spectra, acoustics, omics, geolocations, biogeochemical profiles, and satellite imagery), we present a historical perspective on applications that proved influential, can serve as templates for new work, or represent the diversity of approaches. Then, we illustrate how machine learning can be used to better understand ecological systems, by combining various sources of marine data. Through this coverage of the literature, we demonstrate an increase in the proportion of marine ecology studies that use machine learning, the pervasiveness of images as a data source, the dominance of machine learning for classification-type problems, and a shift towards deep learning for all data types. This overview is meant to guide researchers who wish to apply machine learning methods to their marine datasets.

Description: The food system faces a multitude of challenges, including high greenhouse gas emissions, threats to biodiversity, increased diet-related diseases due to unbalanced diets, and socially problematic complex supply chains. This requires not only a transformation of the agricultural economy but also a change in the diet and lifestyles of all consumers. Developing and using digital and technological innovations can help to solve these challenges. In this context, the study provides impulses on how digitalisation can contribute to transforming production and consumption and which prerequisites have to be given to achieve this. The study describes the approaches for digitalisation along the value chain. These include optimising the use of resources in agriculture - for example with the help of smart farming - and supporting consumers with digital tools and assistance systems - such as apps designed to support grocery shopping. In addition, new business models and a better connection between production and consumption processes are also possible. This includes, for example, new digital sales channels or tracking and communicating sustainability indicators such as CO2 emissions across all steps of the value chain in order to enable all stakeholders to take reliable action.

Description: The adoption of the Paris Agreement in 2015 and the passing of the Climate Action Law in Germany in 2019 established the legal need for the basic material industry in Germany to decarbonise. For the industry sector, the target is sets at a 49-51% GHG reduction by 2030 compared to 1990. Even though the sector specific targets are likely to become obsolete, a Hydrogen Strategy, Industry Strategy and Climate Protection Contracts are currently being developed or elaborated on. These are to further ensure and enable the basic material industry in Germany to decarbonise. These developments are emphasising the relevance of studying the industry decarbonisation at the time of conducting this research. As the institutionalisation of the industry decarbonisation is influenced by discourse, the analysis of the discourse is an important tool for studying the power effects produced by and built into the discourse. This is the first research aiming to provide a structured analysis of the discourse on industry decarbonisation in Germany. Drawing on discourse analysis and the Multilevel-Perspectives framework, this research investigated the power and dominance of storylines to influence the discourse of the industry transformation towards decarbonisation. In this research insights were obtained into the storylines used in this discourse, the actors who are part of this discourse, the frequency of storylines used and the percentage of actors making use of these storylines. Additionally, insights were generated into the discursive network and potential coalitions. This research made use of the Discourse Network Analysis software in combination with Visone and Excel for data collection, analysis, and visualisation. Based on 117 documents of various categories from the years 2012 to 2023, the discourse on German industry decarbonisation is discovered to be dominated by storylines of mainly technological or economic nature. The general sentiment discovered by the different actors is positive with the storylines focusing on establishing the conditions for the industry to decarbonise and no resistance being communicated. The discourse is furthermore dominated by most storylines. 18 out of 27 storylines are being used by more than 56% of all actors. The high overlap in storyline indicates discursive homogeneity. The homogeneity is further indicated through the lack of emerging discourse coalitions and the therewith connected lack of struggles for discursive dominance. One coalition can be defined with some actors being deeper involved and some being less involved in the discourse. As decisions on the transition path for Germany's industry to decarbonise are still to be taken the lack of discursive struggles has come to my surprise. In the discussion I reflect on how the positive sentiment, the discursive homogeneity and the great number of dominant storylines may come about.

Description: Eutrophication in marine waters is traditionally assessed by checking if nutrients, algal biomass and oxygen are below/above a given threshold. However, increased biomass, nutrient concentrations and oxygen demand do not lead to undesirable environmental effects if the flow of carbon/energy from primary producers toward high trophic levels is consistently preserved. Consequently, traditional indicators might provide a misleading assessment of the eutrophication risk. To avoid this, we propose to evaluate eutrophication by using a new index based on plankton trophic fluxes instead of biogeochemical concentrations. A preliminary, model-based, assessment suggests that this approach might give a substantially different picture of the eutrophication status of our seas, with potential consequences on marine ecosystem management. Given the difficulties to measure trophic fluxes in the field, the use of numerical simulations is recommended although the uncertainty associated with biogeochemical models inevitably affects the reliability of the index. However, given the effort currently in place to develop refined numerical tools describing the marine environment (Ocean Digital Twins), a reliable, model-based, eutrophication index could be operational in the near future.