| Title |
Diversity-dependent temporal divergence of ecosystem functioning in experimental ecosystems
|
|---|---|
| Published in |
Nature Ecology & Evolution, October 2017
|
| DOI | 10.1038/s41559-017-0325-1 |
| Pubmed ID | |
| Authors |
Nathaly R. Guerrero-Ramírez, Dylan Craven, Peter B. Reich, John J. Ewel, Forest Isbell, Julia Koricheva, John A. Parrotta, Harald Auge, Heather E. Erickson, David I. Forrester, Andy Hector, Jasmin Joshi, Florencia Montagnini, Cecilia Palmborg, Daniel Piotto, Catherine Potvin, Christiane Roscher, Jasper van Ruijven, David Tilman, Brian Wilsey, Nico Eisenhauer |
| Abstract |
The effects of biodiversity on ecosystem functioning generally increase over time, but the underlying processes remain unclear. Using 26 long-term grassland and forest experimental ecosystems, we demonstrate that biodiversity-ecosystem functioning relationships strengthen mainly by greater increases in functioning in high-diversity communities in grasslands and forests. In grasslands, biodiversity effects also strengthen due to decreases in functioning in low-diversity communities. Contrasting trends across grasslands are associated with differences in soil characteristics.Long-term grassland and forest experiments reveal that temporal strengthening in biodiversity functioning relationships is mainly driven by increases in functioning in high-diversity communities. |
X Demographics
The data shown below were collected from the profiles of 66 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 14% |
| United Kingdom | 6 | 9% |
| Spain | 3 | 5% |
| France | 3 | 5% |
| China | 2 | 3% |
| Australia | 2 | 3% |
| Canada | 2 | 3% |
| Germany | 2 | 3% |
| Austria | 1 | 2% |
| Other | 10 | 15% |
| Unknown | 26 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 33 | 50% |
| Members of the public | 33 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 188 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 188 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 39 | 21% |
| Researcher | 36 | 19% |
| Student > Master | 19 | 10% |
| Student > Bachelor | 16 | 9% |
| Student > Doctoral Student | 11 | 6% |
| Other | 34 | 18% |
| Unknown | 33 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 35% |
| Environmental Science | 57 | 30% |
| Nursing and Health Professions | 2 | 1% |
| Computer Science | 2 | 1% |
| Immunology and Microbiology | 2 | 1% |
| Other | 14 | 7% |
| Unknown | 46 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 December 2020.
All research outputs
#1,055,492
of 24,715,720 outputs
Outputs from Nature Ecology & Evolution
#1,296
of 2,040 outputs
Outputs of similar age
#22,080
of 327,970 outputs
Outputs of similar age from Nature Ecology & Evolution
#74
of 101 outputs
Altmetric has tracked 24,715,720 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
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