ORCID Profile
0000-0003-3339-1514
Current Organisations
Simula Research Laboratory AS
,
Lund University
,
Lund University Samhällsvetenskapliga fakulteten
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Publisher: Frontiers Media SA
Date: 16-04-2021
DOI: 10.3389/FCLIM.2021.664130
Abstract: Concerns are increasingly raised over the centrality of carbon removal in climate policy, particularly in the guise of “net-zero” targets. Most significantly perhaps, treating emissions and removals as equivalent obscures emission reductions, resulting in “mitigation deterrence.” Yet the conflation of emission reductions and removals is only one among several implicit equivalences in carbon removal accounting. Here, we examine three other forms—carbon, geographical, and temporal equivalence—and discuss their implications for climate justice and the environmental risks with carbon removal. We conclude that “undoing” these equivalences would further a just response to the climate crisis and tentatively explore what such undoing might look like in practice.
Publisher: Wiley
Date: 11-06-2023
DOI: 10.1111/GCB.16808
Abstract: Dynamic Global Vegetation Models (DGVMs) provide a state‐of‐the‐art process‐based approach to study the complex interplay between vegetation and its physical environment. For ex le, they help to predict how terrestrial plants interact with climate, soils, disturbance and competition for resources. We argue that there is untapped potential for the use of DGVMs in ecological and ecophysiological research. One fundamental barrier to realize this potential is that many researchers with relevant expertize (ecology, plant physiology, soil science, etc.) lack access to the technical resources or awareness of the research potential of DGVMs. Here we present the Land Sites Platform (LSP): new software that facilitates single‐site simulations with the Functionally Assembled Terrestrial Ecosystem Simulator, an advanced DGVM coupled with the Community Land Model. The LSP includes a Graphical User Interface and an Application Programming Interface, which improve the user experience and lower the technical thresholds for installing these model architectures and setting up model experiments. The software is distributed via version‐controlled containers researchers and students can run simulations directly on their personal computers or servers, with relatively low hardware requirements, and on different operating systems. Version 1.0 of the LSP supports site‐level simulations. We provide input data for 20 established geo‐ecological observation sites in Norway and workflows to add generic sites from public global datasets. The LSP makes standard model experiments with default data easily achievable (e.g., for educational or introductory purposes) while retaining flexibility for more advanced scientific uses. We further provide tools to visualize the model input and output, including simple ex les to relate predictions to local observations. The LSP improves access to land surface and DGVM modelling as a building block of community cyberinfrastructure that may inspire new avenues for mechanistic ecosystem research across disciplines.
Publisher: Cambridge University Press (CUP)
Date: 2018
DOI: 10.1017/SUS.2018.11
Abstract: Modern agriculture is associated with numerous environmental predicaments, such as land degradation, water pollution, and greenhouse gas emission. Socio-economically, it is characterized by a treadmill of technological change, increased mechanization, and economic consolidation, while depressing economic returns to farmers. A root cause is the dominance of annual plants cultivated in monocultures. Annual crops require the yearly clearing of vegetation resulting in soil erosion and other forms of ecosystem degradation. Monocultures are susceptible to agricultural pests and weeds. By contrast, perennial polycultures informed by natural ecosystems, promise more sustainable agroecosystems with the potential to also revitalize the economic foundation of farming and hence rural societies.
Location: United Kingdom of Great Britain and Northern Ireland
No related grants have been discovered for Wim Carton.