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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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Aboveground overyielding in grassland mixtures is associated with reduced biomass partitioning to belowground organs

TL;DR: It is suggested that species-rich communities invest less in belowground biomass than do monocultures to extract soil resources, thus leading to increased investment into aboveground organs and overyielding.
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Leaf and wood carbon isotope ratios, specific leaf areas and wood growth of Eucalyptus species across a rainfall gradient in Australia.

TL;DR: It is concluded that species-specific traits are important in understanding the response of Eucalyptus to rainfall and that the diversity of the genus may reflect its response to the large climatic gradient in Australia.
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The effect of nitrogen supply on growth and water-use efficiency of xylem-tapping mistletoes.

TL;DR: Growth rates and the accumulation of N, P, K, and Ca as well as values for carbon-isotope ratios of Mistletoe tissues support the hypothesis that the higher transpiration rates of mistletoes represent a nitrogen-gathering mechanism.
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Soil and Plant Nitrogen Pools as Related to Plant Diversity in an Experimental Grassland

TL;DR: Both diversity (either in species or functional groups) and functional composition of grassland mixtures are significant controls of soil and plant N pools and plant communities with more diverse mixture are liable to use limiting resources such as N more effectively.
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Crown modeling by terrestrial laser scanning as an approach to assess the effect of aboveground intra- and interspecific competition on tree growth

TL;DR: A competition index based on individual crown shapes derived from TLS-data correlated better with target tree growth than an index using conventional geometric crown shape models, and ascribed the highest competitive strength to intraspecific competition.