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Ernst Detlef Schulze

Researcher at Max Planck Society

Publications -  683
Citations -  75342

Ernst Detlef Schulze is an academic researcher from Max Planck Society. The author has contributed to research in topics: Biodiversity & Ecosystem. The author has an hindex of 133, co-authored 670 publications receiving 69504 citations. Previous affiliations of Ernst Detlef Schulze include University of Idaho & University of Utah.

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Large-scale biogeochemical research with particular reference to forest ecosystems, an overview

TL;DR: The authors summarizes observational and experimental approaches to study plant and ecosystem processes, starting from physiological mechanisms up to continental carbon balances mainly based on Eurosiberian data, and shows that different observational scales are needed to interpret and predict phenomena at various resolutions and that observational studies cannot replace controlled experiments.
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Sustainable foresting: easier said than done.

TL;DR: It is commonly held that planting forests helps to mitigate climate change, because forests sequester carbon dioxide into long-lived biomass and soils, but personal experience shows that managed forests are unlikely to increase the land carbon sink unless foresters are paid.
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Direct and Indirect Effects of Management Intensity and Environmental Factors on the Functional Diversity of Lichens in Central European Forests.

TL;DR: In this article, the authors analyzed the direct and indirect effects of forest management intensity and of environmental variables on lichen functional diversity (FDis) using 642 forest plots from three regions in Germany and found that management intensity had a direct positive effect on FDis, which was compensated by an indirect negative effect via reduced standing tree biomass and lichen species richness.
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Sampling forest tree regeneration with a transect approach

TL;DR: A new transect approach for sampling forest tree regeneration is developed with the aim to minimize the amount of field measurements, and to produce an accurate estimation of tree species composition and density independent of tree height.