Blar i Scientific publications på forfatter "Jackson-Blake, Leah Amber"

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    • Afforestation of a pasture in Norway did not result in higher soil carbon, 50 years after planting 

      Strand, Line Tau; Fjellstad, Wendy Jane; Jackson-Blake, Leah Amber; de Wit, Heleen (Peer reviewed; Journal article, 2020)
      Afforestation of marginal cultivated land is an internationally approved climate mitigation strategy, however, with uncertain implications for soil organic carbon (SOC) storage. We examined the effect of forest planting ...

    • Are our dynamic water quality models too complex? A comparison of a new parsimonious phosphorus model, SimplyP, and INCA-P 

      Jackson-Blake, Leah Amber; Sample, James Edward; Wade, Andrew J.; Helliwell, Rachel C.; Skeffington, Richard A. (Journal article; Peer reviewed, 2017)
      Catchment-scale water quality models are increasingly popular tools for exploring the potential effects of land management, land use change and climate change on water quality. However, the dynamic, catchment-scale nutrient ...

    • Land Use Change to Reduce Freshwater Nitrogen and Phosphorus will Be Effective Even with Projected Climate Change 

      Wade, Andrew J.; Skeffington, Richard A.; Couture, Raoul-Marie; Lampa, Martin Erlandsson; Groot, Simon; Halliday, Sarah J.; Harezlak, Valesca; Hejzlar, Josef; Jackson-Blake, Leah Amber; Lepistö, Ahti; Papastergiadou, Eva; Riera, Joan Lluis; Rankinen, Katri; Shahgedanova, Maria; Trolle, Dennis; Whitehead, Paul G.; Psaltopoulos, Demetris; Skuras, Dimitris (Peer reviewed; Journal article, 2022)
      Recent studies have demonstrated that projected climate change will likely enhance nitrogen (N) and phosphorus (P) loss from farms and farmland, with the potential to worsen freshwater eutrophication. Here, we investigate ...

    • Opportunities for seasonal forecasting to support water management outside the tropics 

      Jackson-Blake, Leah Amber; Clayer, Francois; de Eyoto, Elvira; French, Andrew S.; Frías, María Dolores; Mercado-Bettín, Daniel; Moore, Tadhg; Puértolas, Laura; Poole, Russell; Rinke, Karsten; Shikhani, Muhammed; van der Linden, Leon; Marcé, Rafael (Peer reviewed; Journal article, 2022)
      Advance warning of seasonal conditions has the potential to assist water management in planning and risk mitigation, with large potential social, economic, and ecological benefits. In this study, we explore the value of ...

    • Predicting Lake Quality for the Next Generation: Impacts of Catchment Management and Climatic Factors in a Probabilistic Model Framework 

      Moe, S. Jannicke; Couture, Raoul-Marie; Haande, Sigrid; Solheim, Anne Lyche; Jackson-Blake, Leah Amber (Journal article; Peer reviewed, 2019)
      Lake ecosystems across the world are under combined pressures of eutrophication and climate change, which increase the risk of harmful cyanobacteria blooms, reduced ecological status, and degraded ecosystem services. In ...

    • Rapid development of fast and flexible environmental models: the Mobius framework v1.0 

      Norling, Magnus Dahler; Jackson-Blake, Leah Amber; Calidonio, José-Luis Guerrero; Sample, James Edward (Peer reviewed; Journal article, 2021)
      The Mobius model building system is a new open-source framework for building fast and flexible environmental models. Mobius makes it possible for researchers with limited programming experience to build performant models ...

    • Seasonal forecasting of lake water quality and algal bloom risk using a continuous Gaussian Bayesian network 

      Jackson-Blake, Leah Amber; Clayer, Francois; Haande, Sigrid; Sample, James Edward; Moe, S. Jannicke (Peer reviewed; Journal article, 2022)
      Freshwater management is challenging, and advance warning that poor water quality was likely, a season ahead, could allow for preventative measures to be put in place. To this end, we developed a Bayesian network (BN) for ...