2024-03-28T21:25:06Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1634652020-12-29T11:10:45Zcom_10261_123com_10261_8col_10261_376
Accounting for Life-History Strategies and Timescales in Marine Restoration
Montero-Serra, Ignasi
Garrabou, Joaquim
Doak, Daniel F.
Figuerola, Laura
Hereu, Bernat
Ledoux, J. B.
Linares, Cristina
Ministerio de Economía y Competitividad (España)
Oak Foundation
Fondation Total
European Commission
Transplants
Life-history tradeoffs
Comparative demography
Coral reefs
Corallium rubrum
Integral projection models
Mediterranean sea
Restoration
Octocorals
9 pages, 5 figures, supporting information https://doi.org/10.1111/conl.12341
Understanding the drivers of restoration success is a central issue for marine conservation. Here, we explore the role of life‐history strategies of sessile marine species in shaping restoration outcomes and their associated timescales. A transplantation experiment for the extremely slow‐growing and threatened octocoral Corallium rubrum was highly successful over a relatively short term due to high survival and reproductive potential of the transplanted colonies. However, demographic projections predict that from 30 to 40 years may be required for fully functional C. rubrum populations to develop. More broadly, a comprehensive meta‐analysis revealed a negative correlation between survival after transplanting and growth rates among sessile species. As a result, simulated dynamics for a range of marine sessile invertebrates predict that longer recovery times are positively associated with survival rates. These results demonstrate a tradeoff between initial transplantation efforts and the speed of recovery. Transplantation of slow‐growing species will tend to require lower initial effort due to higher survival after transplanting, but the period required to fully recover habitat complexity will tend to be far longer. This study highlights the important role of life history as a driver of marine restoration outcomes and shows how demographic knowledge and modeling tools can help managers to anticipate the dynamics and timescales of restored populations
2018-04-11T09:19:01Z
2018-04-11T09:19:01Z
2018-01
2018-04-11T09:19:01Z
artículo
Conservation Letters 11(1): e123241 (2018)
http://hdl.handle.net/10261/163465
10.1111/conl.12341
http://dx.doi.org/10.13039/501100003329
http://dx.doi.org/10.13039/100001275
http://dx.doi.org/10.13039/501100000780
eng
Publisher's version
https://doi.org/10.1111/conl.12341
Sí
info:eu-repo/grantAgreement/EC/H2020/689518
https://creativecommons.org/licenses/by/4.0/
openAccess
Society for Conservation Biology