Antibiotics and other pharmaceuticals are released into rivers from multiple manufacturing sites at concentrations high enough to select for antibiotic resistance genes (ARGs). Such mixtures of antibiotics may select for new combinations of resistance genes, which is particularly concerning as this will further limit antibiotic treatment options. In addition, bacteria from treating manufacturing waste or domestic sewage and raw sewage entering rivers will mingle, facilitating horizontal gene transfer (HGT) of resistance genes carried on plasmids. However, the antibiotics will be diluted while being transported downstream, and some will be quickly degraded, and resistant bacteria may not survive so the question is how long is resistance selected and how long does it survive? Is resistance transmitted to other bacteria before they are lost? How far are resistant bacteria transport and what is the exposure of humans or livestock? In order to ask these questions, evaluate mitigation strategies and develop evidence-based global environmental standards, we will pursue a unique combined experimental and mathematical modelling programme including the following streams: (1) Measure concentrations of antibiotics and heavy metals, water chemistry, water levels and flow rates, water sediment exchange, abundance and diversity of antibiotic resistance genes and antibiotic-resistant bacteria. (2) Quantify transmission of resistance genes in bench-scale reactors. (3) Study selection in the river samples in bench-scale reactors under realistic, controlled conditions. (4) Study the risk of infection by resistant bacteria in tissue culture and Zebrafish laboratory models and the antibiotic dose required for treatment. (5) Build and test a mathematical model of antimicrobial resistance (AMR) dynamics on the small scale of a water sample, including degradation of antibiotics, growth and death of sensitive and resistant bacteria, selection of resistance as a function of antibiotic concentration, HGT of resistance. (6) Build and test a model of water flow for the river network; this will be on the large scale of rivers. (7) Combine the small-scale AMR dynamics and large-scale transport models into a model that can calculate the dilution of the compounds and track how long the chemicals and bacteria have been in the river water, sediments and floodplains and how far they spread to downstream populations and ecosystems. The combined model can evaluate whether interventions such as separate treatment of antibiotic manufacturing waste and domestic sewage would be effective in reducing resistance levels before putting this into practice. The environmental AMR pathways will be examined across two river systems. The Musi (Hyderabad) is more polluted with antibiotics than the Adyar (Chennai). Both are polluted by sewage. Their pollution flows to people via irrigation, drinking water production and spiritual cleansing. These rivers have phases of low flow with concentrated industrial waste and sewage and limited bacterial spread and high flows in the monsoon season, flooding communities with resistant bacteria. (8) Analyse the human health risks based on the predictions of the combined model and the experimental study in (4) and other information. The risk analysis will include the level of uncertainty in those risks and will contribute to the development of international environmental standards. These will be the two main outcomes to improve human, animal and environmental health, specifically (i) quantitative evidence for resistance (co)selection and transfer under in situ conditions in a more and less polluted river system and (ii) a truly novel combined AMR dynamics and transport modelling framework that can be used globally as a tool to track AMRflows.

The tropics are warming and the frequency of extreme heat events, often accompanied by drought, is increasing across most of the tropical forest biome. It is currently unclear what the effects of increasing heat on tropical forests will be. This key question is the focus of the current IOF proposal, based on three integrated strands of NERC research in Amazonia, which we lead and propose to pilot in India. The approach consists firstly of a targeted real-time observation program at a forest site at the Southern border of the Amazon humid forests, as part of the NERC BIO-RED consortium, co-led by Gloor and Phillips. Real-time observations of forest performance rely heavily on cameras overlooking the canopies, which measure canopy temperatures, measures of productivity performance and stress, and phenology. To characterize the climate forcing, we measure continuously climate and soil humidity. In order to understand observed patterns of tree performance responses to heat extremes, we measure separately traits of the site's dominant tree species related to tree hydraulics, as well as productivity. Secondly, as part of another ongoing NERC grant (TREMOR, led by DG) we are measuring tree hydraulic properties of dominant trees at 10 sites distributed across the Amazon. Knowledge of these characteristics across wide areas permits us to generalize mechanistic results measured with the in-situ monitoring approach. Finally, in both ongoing and past grants OP has developed a tropical forest plot-monitoring network in Amazonia, Africa, and Borneo (~1000 1-ha plots now), capable of tracking longer-term shifts in forest biomass, productivity, and composition. We propose here to work with leading Indian scientists to apply these approaches in this critical region. In large parts of tropical India heat waves have increased considerably in recent years with peak temperatures reaching up to 50C. Model projections suggest that up to 45% of Indian forests may be at risk of shifting to non-forest vegetation states, yet there are only very limited data to evaluate these projections. India lacks both a comprehensive observational system as at our Amazon site, and has relatively few permanent plots, and those that do exist are mostly not integrated into international forest monitoring networks. To address these challenges we have formed new connections with key experts in India covering the areas of forest ecology, eco-physiology, and climatology. Between them our new Indian collaborators are strongly linked to national and international forest conservation efforts, and lead most available forest plots. The scientific focus of this proposal, the extensive, biodiverse and potentially climate-sensitive evergreen forests in Western Ghats, is where the team's interests coincide geographically. We propose to jointly install a canopy-overlooking continuous forest heat and drought-response monitoring site, as in S Amazonia, close to existing plots in the Western Ghats. Together we plan a site-level traits campaign of dominant species and local integration of plot- and canopy-observation monitoring. We further propose to harmonize protocols of plot censuses and to include Indian plot data in the pan-tropical forest census database to support larger scale geographical analyses and syntheses. I-FOR will also aim to support mutual exchange of skills, focused in three steps. The first, in the Western Ghats, is a workshop dedicated to student and young scientist education in field skills and protocols. Secondly, we plan several visits of Indian colleagues to Leeds to support joint analyses and post-project planning. The final workshop, to be hold at one of the Indian scientist's home institution, will include wider participation to discuss implications of the results and to take practical steps toward ensuring these activities become long-term efforts.

HIWAVES3 facilitates a dialogue between climate modelers, impact modelers and partners in different geographical regions with knowledge of local societal relevant meteorological events to construct stories of selected high-impact extreme events, simulated for present-day and future climate conditions. The story includes the origin of the extreme event from a meteorological perspective, its inter-regional linkages, its predictability, its societal impact and how climate change affects its magnitude and probability. Such stories, made available for schools, the general public and governments, are effective communication means, more so than bare numbers about the expected mean temperature increase, precipitation changes in percentages and such. Based on surveys, extreme summer events with large societal impacts, like droughts and floods, will be selected from the recent past for China, India and Europe. Similar events will be identified in large ensembles of global climate simulations. The size of the ensembles allows an analysis of the inter-regional linkages between the Arctic, the Midlatitudes and the Indian Monsoon region through large-scale Rossby waves and other meteorological factors leading to the extreme, like soil-moisture and sea-surface temperature conditions. In addition, a one in a thousand year event in China, India and Europe, although not witnessed in the recent past, will be analysed. The predictability of the event, weeks to months in advance will be assessed through additional simulations. Using empirical methods and process-based models, the impact on crop yields and economy will be estimated as well as the number of premature deaths. Using large ensembles under projected 2050 conditions the effect of climate change on these extremes and their impacts will be analysed. This research material is translated into powerful stories about concrete events that illustrate how climate affects man, man affects climate, how different geographical regions are connected and how extreme the weather might get. The meteorological data of these events will be made available for further impact studies.

GloUrb addresses the issue of floodplain urbanisation at global scale since the 1980s based on an interdisciplinary and integrated approach. Floodplains are amongst the most threatened and vulnerable ecosystems, but vital for human society . GloUrb builds on the need for global references to support understanding of floodplain urbanisation processes and their socio-ecosystem consequences (biodiversity, flood risk, urban resilience, environmental justice); explain such trends and distinguish between local and global scale drivers; inform and increase the public awareness; monitor to prevent threats and manage future changes. GloUrb will use existing local and global information, web data mining, remote sensing and innovative signal analysis techniques. We will inform people on urbanisation processes to support sustainable, integrated and adaptive management, developing a global online information system with a monitoring interface showing urbanisation trends and targeting potential threats.