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Lori A. Biederman

Researcher at Iowa State University

Publications -  48
Citations -  3799

Lori A. Biederman is an academic researcher from Iowa State University. The author has contributed to research in topics: Species richness & Nutrient. The author has an hindex of 19, co-authored 45 publications receiving 2866 citations. Previous affiliations of Lori A. Biederman include Texas A&M University & University of Minnesota.

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Biochar and its effects on plant productivity and nutrient cycling: a meta‐analysis

TL;DR: The first quantitative review of the effects of biochar on multiple ecosystem functions and the central tendencies suggest that biochar holds promise in being a win-win-win solution to energy, carbon storage, and ecosystem function as mentioned in this paper.
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Herbivores and nutrients control grassland plant diversity via light limitation

Elizabeth T. Borer, +55 more
- 24 Apr 2014 - 
TL;DR: Testing the hypothesis that herbaceous plant species losses caused by eutrophication may be offset by increased light availability due to herbivory demonstrates that nutrients and herbivores can serve as counteracting forces to control local plant diversity through light limitation, independent of site productivity, soil nitrogen, herbivore type and climate.
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Productivity Is a Poor Predictor of Plant Species Richness

Peter B. Adler, +59 more
- 23 Sep 2011 - 
TL;DR: This article conducted a standardized sampling in 48 herbaceous-dominated plant communities on five continents and found no clear relationship between productivity and fine-scale (meters−2) richness within sites, within regions, or across the globe.
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Plant species’ origin predicts dominance and response to nutrient enrichment and herbivores in global grasslands

Eric W. Seabloom, +64 more
TL;DR: It is suggested that species origin has functional significance, and that eutrophication will lead to increased exotic dominance in grasslands.
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Soil net nitrogen mineralisation across global grasslands

Anita C. Risch, +46 more
TL;DR: It is shown that combining laboratory measurements with environmental data greatly improves predictions of field Nmin at a global scale and that potential soil net Nmin data could be parameterised with soil and climate data to better predict realised Nmin.