Filters

2013 - 20173

More filters

20193
Reset filters

Settings

Author: Lindner, Marcus × DDC: 550 ×

Search Results

Now showing 1 - 3 of 3
  • Thumbnail Image
    Item
    Challenges and opportunities in mapping land use intensity globally
    (Amsterdam : Elsevier, 2013) Kuemmerle, Tobias; Erb, Karlheinz; Meyfroidt, Patrick; Müller, Daniel; Verburg, Peter H.; Estel, Stephan; Haberl, Helmut; Hostert, Patrick; Jepsen, Martin R.; Kastner, Thomas; Levers, Christian; Lindner, Marcus; Plutzar, Christoph; Verkerk, Pieter Johannes; van der Zanden, Emma H.; Reenberg, Anette
    Future increases in land-based production will need to focus more on sustainably intensifying existing production systems. Unfortunately, our understanding of the global patterns of land use intensity is weak, partly because land use intensity is a complex, multidimensional term, and partly because we lack appropriate datasets to assess land use intensity across broad geographic extents. Here, we review the state of the art regarding approaches for mapping land use intensity and provide a comprehensive overview of available global-scale datasets on land use intensity. We also outline major challenges and opportunities for mapping land use intensity for cropland, grazing, and forestry systems, and identify key issues for future research.
  • Thumbnail Image
    Item
    A conceptual framework for analysing and measuring land-use intensity
    (Amsterdam : Elsevier, 2013) Erb, Karl-Heinz; Haberl, Helmut; Jepsen, Martin Rudbeck; Kuemmerle, Tobias; Lindner, Marcus; Müller, Daniel; Verburg, Peter H.; Reenberg, Anette
    Large knowledge gaps currently exist that limit our ability to understand and characterise dynamics and patterns of land-use intensity: in particular, a comprehensive conceptual framework and a system of measurement are lacking. This situation hampers the development of a sound understanding of the mechanisms, determinants, and constraints underlying changes in land-use intensity. On the basis of a review of approaches for studying land-use intensity, we propose a conceptual framework to quantify and analyse land-use intensity. This framework integrates three dimensions: (a) input intensity, (b) output intensity, and (c) the associated system-level impacts of land- based production (e.g. changes in carbon storage or biodiversity). The systematic development of indicators across these dimensions would provide opportunities for the systematic analyses of the trade-offs, synergies and opportunity costs of land-use intensification strategies.
  • Thumbnail Image
    Item
    A framework for modeling adaptive forest management and decision making under climate change
    (Wolfville : The Resilience Alliance, 2017) Yousefpour, Rasoul; Temperli, Christian; Bredahl Jacobsen, Jette; Thorsen, Bo Jellesmark; Meilby, Henrik; Lexer, Manfred J.; Lindner, Marcus; Bugmann, Harald; Borges, Jose G.; Palma, João H.N.; Ray, Duncan; Zimmermann, Niklaus E.; Delzon, Sylvain; Kremer, Antoine; Kramer, Koen; Reyer, Christopher P.O.; Lasch-Born, Petra; Garcia-Gonzalo, Jordi; Hanewinkel, Marc
    Adapting the management of forest resources to climate change involves addressing several crucial aspects to provide a valid basis for decision making. These include the knowledge and belief of decision makers, the mapping of management options for the current as well as anticipated future bioclimatic and socioeconomic conditions, and the ways decisions are evaluated and made. We investigate the adaptive management process and develop a framework including these three aspects, thus providing a structured way to analyze the challenges and opportunities of managing forests in the face of climate change. We apply the framework for a range of case studies that differ in the way climate and its impacts are projected to change, the available management options, and how decision makers develop, update, and use their beliefs about climate change scenarios to select among adaptation options, each being optimal for a certain climate change scenario. We describe four stylized types of decision-making processes that differ in how they (1) take into account uncertainty and new information on the state and development of the climate and (2) evaluate alternative management decisions: the “no-change,” the “reactive,” the “trend-adaptive,” and the “forward-looking adaptive” decision-making types. Accordingly, we evaluate the experiences with alternative management strategies and recent publications on using Bayesian optimization methods that account for different simulated learning schemes based on varying knowledge, belief, and information. Finally, our proposed framework for identifying adaptation strategies provides solutions for enhancing forest structure and diversity, biomass and timber production, and reducing climate change-induced damages. They are spatially heterogeneous, reflecting the diversity in growing conditions and socioeconomic settings within Europe.