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Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration
Several recent meta-analyses have aimed to determine whether natural regeneration is more effective at recovering tropical forests than active restoration (for example, tree planting). We reviewed this literature and found that comparisons between strategies are biased by positive site selection. St...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955619/ https://www.ncbi.nlm.nih.gov/pubmed/29774239 http://dx.doi.org/10.1126/sciadv.aas9143 |
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author | Reid, J. Leighton Fagan, Matthew E. Zahawi, Rakan A. |
author_facet | Reid, J. Leighton Fagan, Matthew E. Zahawi, Rakan A. |
author_sort | Reid, J. Leighton |
collection | PubMed |
description | Several recent meta-analyses have aimed to determine whether natural regeneration is more effective at recovering tropical forests than active restoration (for example, tree planting). We reviewed this literature and found that comparisons between strategies are biased by positive site selection. Studies of natural forest regeneration are generally conducted at sites where a secondary forest was already present, whereas tree planting studies are done in a broad range of site conditions, including non-forested sites that may not have regenerated in the absence of planting. Thus, a level of success in forest regeneration is guaranteed for many studies representing natural regeneration, but not for those representing active restoration. The complexity of optimizing forest restoration is best addressed by paired experimentation at the same site, replicated across landscapes. Studies that have taken this approach reach different conclusions than those arising from meta-analyses; the results of paired experimental comparisons emphasize that natural regeneration is a highly variable process and that active restoration and natural regeneration are complementary strategies. |
format | Online Article Text |
id | pubmed-5955619 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-59556192018-05-17 Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration Reid, J. Leighton Fagan, Matthew E. Zahawi, Rakan A. Sci Adv Reviews Several recent meta-analyses have aimed to determine whether natural regeneration is more effective at recovering tropical forests than active restoration (for example, tree planting). We reviewed this literature and found that comparisons between strategies are biased by positive site selection. Studies of natural forest regeneration are generally conducted at sites where a secondary forest was already present, whereas tree planting studies are done in a broad range of site conditions, including non-forested sites that may not have regenerated in the absence of planting. Thus, a level of success in forest regeneration is guaranteed for many studies representing natural regeneration, but not for those representing active restoration. The complexity of optimizing forest restoration is best addressed by paired experimentation at the same site, replicated across landscapes. Studies that have taken this approach reach different conclusions than those arising from meta-analyses; the results of paired experimental comparisons emphasize that natural regeneration is a highly variable process and that active restoration and natural regeneration are complementary strategies. American Association for the Advancement of Science 2018-05-16 /pmc/articles/PMC5955619/ /pubmed/29774239 http://dx.doi.org/10.1126/sciadv.aas9143 Text en Copyright © 2018 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC). http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Reviews Reid, J. Leighton Fagan, Matthew E. Zahawi, Rakan A. Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration |
title | Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration |
title_full | Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration |
title_fullStr | Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration |
title_full_unstemmed | Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration |
title_short | Positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration |
title_sort | positive site selection bias in meta-analyses comparing natural regeneration to active forest restoration |
topic | Reviews |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5955619/ https://www.ncbi.nlm.nih.gov/pubmed/29774239 http://dx.doi.org/10.1126/sciadv.aas9143 |
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