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Models help to predict the future of the Baltic Sea Ecosystem modelling tools are necessary to explore how various human effects might affect Baltic Sea. But how complex the models should be? And how far into the future can we forecast? What will the future Baltic Sea look like? Will cod recover to the historical levels? Will algal blooms continue? How can we combine all the diverse needs and interests of people around the Baltic Sea to ensure the best outcome for nature and society? While these questions have been of interest to people and marine scientists for years, they are becoming increasingly urgent. More importantly, questions about the future about the Baltic Sea are also becoming increasingly complex and inter-disciplinary. As we learn more, we realize that physical (temperature, salinity, nutrient run-off), biological (seals-cod-herring-spratplankton) and socioeconomic (fisheries, agriculture, political process, oil spills, shipping) processes are closely interconnected and cannot be studied in isolation. Understanding how changes in one process will affect the Baltic Sea therefore requires taking into account those interactions. For this purpose scientists and managers resort to using models that help us understand the nature of real world. Models always are an abstraction of reality, and the main challenge is to find that best approach for the question at hand, a model that is, to quote A. Einstein, “as simple as possible, but not simpler”. Have we managed to identify all the essential species and links that will determine the future of the Baltic Sea and its response to environmental change? To discuss these questions, scientists developing and using marine models have met in a workshop on “Baltic Sea ecosystem models and their applications for management”. A lot of interesting things and results have come out of it, often demonstrating that, even though building and testing models is a huge task, many questions simply cannot be answered without them. Take, for example, the Baltic Sea Action Plan. This plan is a result of a realisation that serious reduction in nutrient run-off (pollution) is needed if we want to stop and avoid massive algal blooms. It was clear that all countries around the Baltic Sea must work together if there is any hope to succeed. But it was less clear how much should the nutrient load be reduced and how quickly can we expect to get clear Baltic Sea waters back. This is where a large modelling and communication effort was required, and luckily sufficient funds were provided to complete it. Without such effort the agreement among countries might have been along the lines – “do whatever possible” and that usually leads to nothing. Now the Baltic Sea Action Plan has numbers about the nutrient reduction expected from each country. “Perhaps those numbers are not entirely correct, perhaps some countries will fail to achieve this level of reduction, but having concrete model outcomes and concrete numbers at least gives us a background for negotiation and accountability” – says Dr Bo Gustafsson, the Director of the Baltic Nest Institute, and one of the lead scientists in this research and negotiations. Including complex species interactions in models may give new and unexpected insights. For example, most people want Baltic Sea to be full of large and healthy cod. Since cod eats sprat, one might assume that having more sprat simply means more cod. But things are not that simple. This is because not all sprat is equal to cod. If cod prefers small sprat, as evidence suggests, then having too many middle sized sprat will create competition for small ones and will reduce food availability for cod. Prof. Andre de Roos (University of Amsterdam) summarises the model outcomes in one simple phrase - “Care for cod? Catch some sprat!”. This means that managing the fish community in the Baltic Sea will not only require careful consideration of the feeding relations between the species involved, but will also sometimes ask for counterintuitive management strategies like culling the currently dense population of Baltic sprat. The consequences of such management might not only benefit cod, but also reduce the risk of algal blooms and even improve living conditions for certain sea bird species. What happens if you include the fact that sprat prefers to eat only certain zooplankton? On top of that we should add climate change, where sprat and cod and herring and salmon will most likely respond differently to salinity and temperature changes in the Baltic Sea. And what happens when we also include fishing, pollution and some regulations? Some of these questions have been addressed with a different model, suggesting that despite increases in global pressures such as climate change, the regional management of fishing and nutrient loads can play a key role in defining the future of the Baltic Sea ecosystem. As Dr Susa Niiranen (Stockholm Resilience Center) puts it: “For cod climate conditions may set boundaries for the total production due to, for example, deteriorating recruitment conditions. However, with appropriate management of fishing and eutrophication relatively high cod abundances could still be sustained in the future”. And what about evolution? Is it essential to include evolution in models? If we always keep catching largest and fastest growing fish, it is natural to expect that with time fish will evolve to be smaller and start reproducing as early as possible, to have a chance to reproduce at least once before they are caught. But reproduction takes energy (a lot of energy!), so earlier reproduction also often means that fish will have less energy to grow and will often be smaller. “Such reductions in size or earlier maturation age have actually been observed in Baltic Sea cod and pikeperch. Yet, we will have little understanding of how this might affect productivity of these species. Smaller body size often means higher probability of being eaten, because who eats whom in the sea very much depends on size. Size matters to fish” – says Dr Asta Audzijonyte (University of Helsinki). Models of different spatial scales and complexity are necessary to address the diverse array of questions that scientists and managers are faced with. Some include the entire Baltic Sea, others are focused on considerably smaller areas. For example, the City of Helsinki Environment Centre is developing a model for the coastal area around Helsinki. “The model will be used in monitoring water quality and might help in planning the position and sampling frequency in monitoring stations” – presents the lead responsible scientist Emil Vahtera. Modelling coastal ecosystems in fact remains one of the important challenges for scientists studying the Baltic Sea. “Currently, the majority of modelling targets issues related to open water and fishery, and we still lack sufficient resources to study near-coastal processes. Yet, coastal areas are diverse and productive, they play essential role as food and nursery areas for fishes and birds, they support important ecosystem functions and services communities, and also are places where human activities are concentrated” – comments Dr Jonne Kotta, from the University of Tartu. Coastal areas also are places where new invasive species usually appear. “Although invasion of new species in the Baltic Sea is one of the key threats to the ecosystem, none of the currently available Baltic Sea ecosystem models address this big challenge so far” – says Dr Letizia Tedesco from the Finnish Environment Institute. Another big challenge facing ecosystem modellers is in clearly defining the limits of what we know. Most of the physical, ecological and social processes in and around the Baltic Sea cannot be estimated and predicted with certainty. As a result we need robust and fast methods to evaluate the uncertainty in our predictions. “If the models are to be used to support decision making, the uncertainty related to their predictions must be quantified. Here, statistics meets the ecology to produce such estimates." – says Dr Jarno Vanhatalo from the University of Helsinki. There is still a lot of work to do and that is exciting. Scientists from different disciplines of chemistry, biology, evolution, economics, computer sciences, machine learning are learning how to talk in a common language and to develop new tools that could improve our understanding about what is important in aiming for the shared goal of clean and beautiful Baltic Sea for everybody. * To look at the presentation of the http://www.helsinki.fi/science/fem/workshop/talks public session of the workshop, go here