Data from: Herbivory limits success of vegetation restoration globally
- Changlin Xu1
- Brian R. Silliman2
- Jianshe Chen1
- Xincheng Li1
- Mads S. Thomsen3
- Qun Zhang1
- Juhyung Lee4
- Jonathan S. Lefcheck5
- Pedro Daleo6
- Brent B. Hughes7
- Holly P. Jones8
- Rong Wang9
- Shaopeng Wang10
- Carter S. Smith2
- Xinqiang Xi11
- Andrew H. Altieri12
- Johan van de Koppel13
- Todd M. Palmer12
- Lingli Liu14
- Jihua Wu15
- Bo Li16
- Qiang He1
- 1. Fudan University
- 2. Duke University
- 3. University of Canterbury
- 4. Northeastern University
- 5. Smithsonian Environmental Research Center
- 6. UNMdP, CONICETC
- 7. Sonoma State University
- 8. Northern Illinois University
- 9. East China Normal University
- 10. Peking University
- 11. Nanjing University
- 12. University of Florida
- 13. Royal Netherlands Institute for Sea Research
- 14. Chinese Academy of Sciences
- 15. Lanzhou University
- 16. Yunnan University
Description
Herbivory limits success of vegetation restoration globally. Restoring vegetation in degraded ecosystems is an increasingly common practice for promoting biodiversity and ecological function, but successful implementation is hampered by an incomplete understanding of the processes limiting restoration success. By assembling terrestrial and aquatic studies globally (2594 experimental tests from 610 articles), we reveal substantial herbivore control of vegetation under restoration. Herbivores at restoration sites reduced vegetation abundance more strongly (by 89%, on average) than at relatively undegraded sites, and suppressed, rather than fostered, plant diversity. These effects were particularly pronounced in regions with higher temperatures and lower precipitation. Temporally excluding targeted herbivores or introducing their predators improved restoration by magnitudes similar to or greater than managing plant competition or facilitation. Thus, managing herbivory is a promising strategy for enhancing vegetation restoration efforts.
This ZIP file contains the following datasets and code for the above paper:
1) Xu_ConsumerEffects.xlsx This file contains the Global Consumer Effects dataset (and several subsets)
2) Xu_PlantInteractions.xlsx This file contains the Global Plant Interactions and Restoration dataset
3) Code_Xu_Restoration_Ms.R This file contains examples of main R code used.
See the Supplementary Materials of the paper for methods used to collect and analyze these data.
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Datasets_Xu_Restoration_Ms.zip
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