Publications by authors named "Svenja Ahlgrimm"

Article Synopsis
  • - The study emphasizes the importance of high-resolution annual forest growth maps, using tree-ring width (TRW) data, to better understand forest carbon sequestration and the impact of climate change and drought on forest ecosystems.
  • - By integrating high-resolution Earth observation data with climate and topography information, the researchers found that species-specific models could explain over 52% of variance in tree growth, enhancing the accuracy of growth predictions compared to using just climate and elevation data.
  • - The research successfully generated a map of annual TRW for 2021, demonstrating that combining different data sources can lead to more effective models for forest growth, while also identifying areas where predictions may be less reliable, particularly in climate marginal zones.
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This paper introduces a new approach-the Principal Component Gradient Analysis (PCGA)-to detect ecological gradients in time-series populations, i.e. several time-series originating from different individuals of a population.

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