English
español
Please use this identifier to cite or link to this item:
http://hdl.handle.net/10261/163465
Share/Impact:
Statistics |
![]() ![]() ![]() |
|
|
Visualizar otros formatos: MARC | Dublin Core | RDF | ORE | MODS | METS | DIDL | DATACITE | |||
|
Title: | Accounting for Life-History Strategies and Timescales in Marine Restoration |
Authors: | Montero-Serra, Ignasi ![]() ![]() ![]() ![]() |
Keywords: | Transplants Life-history tradeoffs Comparative demography Coral reefs Corallium rubrum Integral projection models Mediterranean sea Restoration Octocorals |
Issue Date: | Jan-2018 |
Publisher: | Society for Conservation Biology |
Citation: | Conservation Letters 11(1): e123241 (2018) |
Abstract: | 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 |
Description: | 9 pages, 5 figures, supporting information https://doi.org/10.1111/conl.12341 |
Publisher version (URL): | https://doi.org/10.1111/conl.12341 |
URI: | http://hdl.handle.net/10261/163465 |
DOI: | http://dx.doi.org/10.1111/conl.12341 |
Identifiers: | issn: 1755-263X |
Appears in Collections: | (ICM) Artículos |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Montero-Serra_et_al_2018.pdf | 544,99 kB | Adobe PDF | ![]() View/Open | |
Montero_et_al_2018_supp_mat.docx | 530,74 kB | Microsoft Word XML | View/Open |
Show full item record
Review this work
Review this work
WARNING: Items in Digital.CSIC are protected by copyright, with all rights reserved, unless otherwise indicated.