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{"references": ["Crouzeilles R, Ferreira MS, Curran M (2016) Forest restoration: a global data set for biodiversity and vegetation structure. Ecology 97:2167. https://doi.org/ 10.1002/ecy.1474", "Crouzeilles R, Ferreira MS, Chazdon RL, Lindenmayer DB, Sansevero JBB, Monteiro L, Iribarrem A, Latawiec AE, Strassburg BBN (2017) Ecological restoration success is higher for natural regeneration than for active restora- tion in tropical forests. Science Advances 3:e1701345. https://doi.org/10. 1126/sciadv.1701345"]}
The dataset and R script file are associated with the publication, "Krishnan, A. and Osuri, A.M. (2022), Beyond the passive-active dichotomy: aligning research with the intervention continuum framework of ecological restoration. Restoration Ecology:e13828. https://doi.org/10.1111/rec.13828" Please refer to the readme.txt file for more information on the dataset and analyses.
cost-effective, decade on restoration, forest restoration, goals, intervention intensity, restoration methods
cost-effective, decade on restoration, forest restoration, goals, intervention intensity, restoration methods
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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| downloads | 11 |

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