scispace - formally typeset
S

Sophia Leimer

Researcher at Karlsruhe Institute of Technology

Publications -  28
Citations -  1111

Sophia Leimer is an academic researcher from Karlsruhe Institute of Technology. The author has contributed to research in topics: Biodiversity & Ecosystem. The author has an hindex of 13, co-authored 25 publications receiving 692 citations. Previous affiliations of Sophia Leimer include University of Bern & University of Mainz.

Papers
More filters
Journal ArticleDOI

Biodiversity effects on ecosystem functioning in a 15-year grassland experiment: Patterns, mechanisms, and open questions

TL;DR: The results from the Jena Experiment provide further evidence that diversity begets stability, for example stability against invasion of plant species, but unexpectedly some results also suggested the opposite, e.g. when plant communities experience severe perturbations or elevated resource availability.
Journal ArticleDOI

Land-use intensity alters networks between biodiversity, ecosystem functions, and services.

TL;DR: It is shown that increasing land-use intensity homogenizes the synergies between three organizational levels of the ecosystem, namely, biodiversity, ecosystem functions, and services, and that this approach provides a comprehensive view of ecosystem functioning and can identify the key ecosystem attributes to monitor in order to prevent critical shifts in ecosystems.
Journal ArticleDOI

Effects of biodiversity strengthen over time as ecosystem functioning declines at low and increases at high biodiversity

TL;DR: This article found evidence that negative feedback effects at low biodiversity are as important for biodiversity effects as complementarity among species at high biodiversity, and that a current loss of species will result in a future impairment of ecosystem functioning, potentially decades beyond the moment of species extinction.
Journal ArticleDOI

Plant traits alone are poor predictors of ecosystem properties and long-term ecosystem functioning

TL;DR: There are specific limits to the extent to which traits per se can predict the long-term functional consequences of biodiversity change, so that data on additional drivers, such as interacting abiotic factors, may be required to improve predictions of ecosystem property levels.