How can geodata integration and upscaling methods make responses to challenges in land management more sustainable?

Freitag (22. September 2023), 16:30–18:00
HZ 14
Christopher Conrad (MLU Halle-Wittenberg)
Anna Cord (TU Dresden)
Novel approaches, e.g. based on latest remote sensing and modeling techniques, for solving cross-sectoral land management challenges in different ecosystems are presented and discussed. A second focus is on technology and knowledge transfer.
Benjamin Jakimow (Humboldt-Universität zu Berlin)
Matthias Baumann (Humboldt-Universität zu Berlin)
Caroline de Souza Cruz Salomão (Amazon Environmental Research Institute (IPAM))
Hugo do Nascimento Bendini (National Institute for Space Research (INPE))
Patrick Hostert (Humboldt-Universität zu Berlin)
Deforestation and agricultural fires: how land management in South-West Pará, Brazil, responded to political changes from 2014 to 2020
Birgitta Putzenlechner (Universität Göttingen)
Philipp Koal (Thüringenforst AöR Forstliches Forschungs- und Kompetenzzentrum Gotha)
Simon Grieger (Universität Göttingen)
Simon George (Thüringenforst AöR Forstliches Forschungs- und Kompetenzzentrum Gotha)
Lajos Blume (Universität Göttingen)
Martin Kappas (Universität Göttingen)
Timo Lehmann (Universität Göttingen)
Ingolf Profft (Thüringenforst AöR Forstliches Forschungs- und Kompetenzzentrum Gotha)
Integrated remote sensing of management variants on forest disturbance plots in Central Germany: Implications for microclimate and soil conditions
Christopher Conrad (MLU Halle-Wittenberg)
Matthias Voelkel (MLU Halle-Wittenberg)
Clara Athenstaedt (MLU Halle-Wittenberg)
Jonathan Renkel (MLU Halle-Wittenberg)
Franz Schulze (MLU Halle-Wittenberg)
Muhammad Usman (MLU Halle-Wittenberg)
Droughtmap-ASB, a novel online monitoring tool for improved drought management in the Aral Sea Basin

Abstract der Sitzung

The session presents and discusses opportunities to use digital geospatial data for solving cross-sectoral land management challenges in different ecosystems, often exacerbated by climate change. These include complex problems that usually necessitate trade-offs among stakeholders with respect to management objectives and are of great importance to society and the environment, such as soil degradation, biodiversity loss, or groundwater depletion. Important human activities and environmental processes in this context are e.g. land use intensification, drought, fire, pest infestation, heavy rain, flooding, or soil erosion.

The session addresses in particular novel ways to detect, visualize, and analyze such processes as well as to monitor and assess mitigation and adaptation measures in the different affected ecosystems and landscapes. Against the background of a steadily differentiated spectrum of data and methods, geodata integration, modeling and synthesis as well as upscaling methodologies are becoming increasingly important in this field. Thus, the session sets a focus on novel research approaches and integrative methods, including in-situ monitoring (e.g., sensor constellations and networks), remote sensing (UAV and satellite systems) and modeling, but also the technical possibilities (cloud computing, deep learning) to better understand and interpret the processes and events outlined above.

However, management steps are often not easy to change in practice, and despite the high potential of technical advancements for more sustainability, a central question is the use and acceptance of the knowledge or derived recommendations gained from the new methods in practice, and potentially their continuous application by the stakeholders. The presentations should therefore briefly reflect on the potential contributions of the conducted research to knowledge and/or technology transfer.