Latsis Symposium 2018 – Science Symposium

(Symposium Flyer, PDF)


6-7 June 2018


ETH Zürich, Rämistrasse 101, CH-8092 Zürich
Audimax, Main Building, F30

  • Natural Sciences Focus

    6 June 2018 08:15 - 16:30

  • 08:15 - 08:30
    Natural Sciences

  • 08:30 - 09:15
    Natural Sciences

  • 09:15 - 10:00
    Forest landscape restoration is not uniform and cannot be standardised. Intervention types are customised to particular landscapes by factoring in physical parameters, the state of degradation, needs of the population and existing governance structures. Broad stroke intervention types from planting woodlots to controlling for erosion serve as fundamental typologies ascribed to FLR, but what do they really look like and through which existing assessments could success be aligned? We’ll explore several intervention types in a variety of contexts to extract what is working and where to go from here, and to collectively move from theory to practice.
    Natural Sciences

  • 10:30 - 11:15
    Harnessing nature's ability to regenerate forests can reduce costs for farmers with multiple benefits for biodiversity and supply of ecosystem services.
    Natural Sciences

  • 11:15 - 12:00
    Restoration involves trajectories of community and ecosystem change that we expect to depend on current and future environmental alterations. Here, I will present an argument, and evidence, for why we also expect such trajectories to depend on past environmental conditions, and discuss the implications this has for scaling-up restoration endeavours.
    Natural Sciences

  • 13:45 - 14:30
    Identifying ‘restoration hotspots’ − areas that combine high potential for socio-ecological benefits with high restoration feasibility – can help to effectively prioritize action on international restoration commitments and to best achieve the expected benefits. I’ll present a proposal of global hotspots for tropical forest restoration based on four expected restoration benefits (biodiversity conservation, water provisioning, climate change mitigation and adaptation) and three restoration feasibility components (land opportunity costs, ecological uncertainty of forest restoration success, and likelihood of forest persistence.
    Natural Sciences

  • 14:30 - 15:15
    We link maps of climate, land use history and current biomass to reconstruct past biomass change, and hence the current deficit in biomass across the tropics. This calculation allows us to map the potential for forest biomass accumulation, which we link to models of forest growth to predict timescales for restoration.
    Natural Sciences

  • 15:45 - 16:30

  • Public Forum

    6 June 2018 17:00 - 19:30

  • 17:00 - 17:30
    Our unsustainable use of forest resources has contributed to the global threats of biodiversity loss, rural poverty and climate change. The global-scale restoration of forests has the potential to address these global threats. But effective restoration requires that we identify the most effective biogeographic regions for carbon sequestration and biodiversity. In addition, land managers need to understand the ecological status of local environments in order to design the most effective restoration strategies that maximise ecosystem sustainability. To generate a spatially-explicit understanding of the ecological status of the global forest system, we initiated the Global Forest Biodiversity Initiative by compiling data from over 1.2 million forest inventory plots from around the world. With raw data on forest density, diversity and forest structure from every biogeographic region on Earth, we are able to explain these structural attributes of forests across the world. We can also begin to understand the below-ground forest microbiome that is critical for forest resilience. This global-scale forest information can be used by land managers to identify the most effective regions for forest restoration, and to reveal the most ecologically relevant strategies for restoration around the world.
    Public Forum

  • Social Sciences & Policy Focus

    7 June 2018 08:15 - 18:15