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Universiteit Leiden, Faculteit der Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen, Industriële Ecologie

Universiteit Leiden, Faculteit der Wiskunde en Natuurwetenschappen, Centrum voor Milieuwetenschappen, Industriële Ecologie

6 Projects, page 1 of 2
  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: 866.15.205

    To protect Arctic ecosystems, we need a better understanding of spatial biodiversity patterns and quantitative methodologies to assess biodiversity of this fragile environment. Here, we present a new methodology to directly derive traits-based functional diversity estimates from hyperspectral remote sensing techniques (instead of indirectly assessing biodiversity through mapping environmental conditions). Our conceptual and methodological advances will be applied to and validated in two highly different arctic (Svalbard) and subarctic (Northern Sweden) regions with a large range of representative ecosystem types. Based on comprehensive traits measurements from 56 subarctic permanent plots, we will evaluate α- and β-functional diversity patterns in polar ecosystems and their relative importance, hitherto unknown. Subsequently, we will link α-functional diversity to the mean and variance in spectral reflectance as measured with a 2D-hyperspectral frame to evaluate the feasibility of determining functional diversity and the need for including spectral variance information therein. The quality of simpler indices will be evaluated and the impacts of canopy structure, measured with LiDAR on functional diversity estimates will be determined in different polar ecosystems. Subsequently, the relationships will be validated in Svalbard. Once validated and evaluated for its robustness, we will map α-functional diversity (to identify hotspots of biodiversity) and derive patterns in β -functional diversity by fingerprinting hyperspectral reflectance with an unmanned octocopter at high spatial resolution in both regions. Altogether, we will provide a generic, validated, cost-effective methodological framework to quantify and map functional diversity that can be applied to any polar region, despite the limited accessibility.

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: P23.015

    European seaports must achieve net zero emissions by 2050 and a 55% reduction by 2030 as mandated by the European Green Deal. With up to 80% of port emissions stemming from the port call process, new methods are urgently needed for coordinated decision-making and net-zero strategies. Current methods lack integrated planning, data sharing, and do not address uncertainties from shore power and new fuels. We will develop AI methods to manage these complexities and uncertainties, aiming to decarbonize the port call process. This will be demonstrated in Rotterdam and Moerdijk, making the Netherlands a global leader in sustainable port operations.

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: NWA.1432.20.001

    How can we develop multi-cycle, multi-scalar and multi-level collaboration that is necessary to drive circular and emission-free housing renovation? Through participatory action research and co-designing interventions in practice cases, CirCol will deliver insights on how to exploit the enabling conditions, and tackle the system blockers, contradictions and mismatch of values.

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: NWA.1630.23.015

    The Netherlands aims to be carbon neutral, fossil-free and circular by 2050 -for our resource use to fall within planetary limits- and to be safe for the environment and our health. This ambition means we must transition to a ‘circular society’. With scientists, policymakers, environmental organisations, businesses and citizens, ACT! will co-create visions of a circular Netherlands. Using models to simulate how this circular society and transition might work, we will explore both manufacturing (furniture and electronics) and the construction and organisation of circular neighbourhoods. We will also co-design the systemic strategies needed to collaborate effectively on a just transition.

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  • Funder: Netherlands Organisation for Scientific Research (NWO) Project Code: NWA.1766.24.021

    REAP2SOW aims to develop sustainable, climate-resilient food systems by promoting novel plant-based protein crops like quinoa, white lupin, and aardaker. These crops enhance biodiversity, improve soil health, and support the protein transition away from animal-based sources. The project integrates research on breeding, soil ecosystem functions, cultivation practices, consumer behavior, health impacts, and supply chains. Through its interlinked work packages, REAP2SOW focuses on genetic improvement, nutrient use efficiency, food safety, consumer acceptance, and historical insights. It emphasizes outreach to policymakers, farmers, and the public, fostering a resilient, sustainable food system for the Netherlands.

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