| Literature DB >> 31807711 |
Derek P Tittensor1,2, Maria Beger3,4, Kristina Boerder1, Daniel G Boyce1, Rachel D Cavanagh5, Aurelie Cosandey-Godin6, Guillermo Ortuño Crespo7, Daniel C Dunn7,8, Wildan Ghiffary9, Susie M Grant5, Lee Hannah10, Patrick N Halpin7, Mike Harfoot2, Susan G Heaslip11, Nicholas W Jeffery11, Naomi Kingston2, Heike K Lotze1, Jennifer McGowan12, Elizabeth McLeod12, Chris J McOwen2, Bethan C O'Leary13,14, Laurenne Schiller15,16, Ryan R E Stanley11, Maxine Westhead11, Kristen L Wilson1, Boris Worm1.
Abstract
The impacts of climate change and the socioecological challenges they present are ubiquitous and increasingly severe. Practical efforts to operationalize climate-responsive design and management in the global network of marine protected areas (MPAs) are required to ensure long-term effectiveness for safeguarding marine biodiversity and ecosystem services. Here, we review progress in integrating climate change adaptation into MPA design and management and provide eight recommendations to expedite this process. Climate-smart management objectives should become the default for all protected areas, and made into an explicit international policy target. Furthermore, incentives to use more dynamic management tools would increase the climate change responsiveness of the MPA network as a whole. Given ongoing negotiations on international conservation targets, now is the ideal time to proactively reform management of the global seascape for the dynamic climate-biodiversity reality.Entities:
Mesh:
Year: 2019 PMID: 31807711 PMCID: PMC6881166 DOI: 10.1126/sciadv.aay9969
Source DB: PubMed Journal: Sci Adv ISSN: 2375-2548 Impact factor: 14.136
Fig. 1Literature review of climate change consideration in MPA design.
(A) Number of studies from the review where MPA climate change adaptation strategies were broadly discussed, presented as a proof of concept, or implemented in practice, respectively. (B) Location and brief description of the six implemented examples. Green areas represent MPA locations from the World Database on Protected Areas (). See main text for further discussion, including search limitations, and text and tables in the Supplementary Materials for full methodological details and results.
Examples of climate change adaption objectives and possible actions.
| Early detection of climate change | Enhanced multisensor monitoring |
| Citizen science observer networks | |
| Use of sentinel species as | |
| Protecting species or habitats that | Support migration of climate- |
| Enabling reorganization of | Manage for resilience under a |
| Reassess and revise zoning and | |
| Specify climate mitigation into MPA | |
| Maintaining representative MPA | Include areas of high and low |
| Use both static and dynamic | |
| Better integrate conservation and | |
| Focus network around anchor- | |
| Adapting to unforeseen | Move toward dynamic |
| Update management plans and | |
| Collect stakeholder observations |
Fig. 2Vulnerability of the existing global MPA network to climate change.
(A) Bivariate map of the time of emergence and historical variability for the global ocean [see (B) for color axes] under a business-as-usual emissions scenario [Representative Concentration Pathway (RCP) 8.5]. Time of emergence refers to the year when projected mean sea surface temperature (SST) at a given location exceeds the bounds of preindustrial conditions. Historical variability is the total thermal range calculated from a detrended 1900 to 2018 SST time series. (B) Quadrant plot of MPA position in climate emergence and historical variability space. Black points represent 1° × 1° grid cells within MPAs, with larger MPAs having more points based on overlap with SST data (see text in the Supplementary Materials for full methodological details). Histograms provide the distribution of MPAs along each axis. Percentage values indicate the proportion of MPA area (grid cells) in each quadrant; percentages in brackets indicate the proportion of the global ocean in each quadrant. Color scale is based on background distribution in global ocean.
Climate design principles for the protected seascape.
Different tools perform complementary functions within a climate-resilient conserved seascape.
| Static tools | Static MPAs (anchor points) | Conservation of assemblages associated with | Great Barrier Reef Marine Park |
| Maintaining long-term monitoring (control/ | Galapagos Marine Reserve (Ecuador) | ||
| Creating networks for meta-populations and | Marianas Trench National Monument | ||
| Static OECMs | Effective conservation of key ecological features | Rockall Haddock Box High Seas Trawl | |
| Act as long-term monitoring sites for climate | |||
| Creating networks for meta-populations and | |||
| Dynamic tools | Dynamic ocean management areas* | Respond to rapid shifts in species distribution | Dynamic fisheries closures to protect |
| Provide short-term/seasonal corridors or | |||
| Provide quicker deployment (and removal) than | |||
| Not fully multisectoral; often single-sectoral | |||
| Unlikely to be considered OECMs under the | |||
| Climate-responsive biodiversity closures | A hybrid of MPAs (multisectoral) with | Currently conceptual—see main text | |
| Respond to climate-driven biological responses | |||
| Focus on shifts due to climate signal rather than | |||
| Unlikely to be considered OECMs under the | |||
*Also known as dynamic conservation features and/or short-term closures.
Fig. 3The need for climate-responsive management features.
Climate-driven changes in mobile species, biogenic habitat features, and static geomorphological features (e.g., seamounts and ridges), with management measures (permanent and dynamic) superimposed (left column). In this example, under the current distribution percent coverage targets (e.g., Aichi Target 11 of 10% by 2020) will be met for many species, habitats, and features (right column). However, climate-driven shifts will affect future distributions such that these targets would no longer be met, as a result of species and biogenic habitats expanding, shrinking, disappearing, or moving in relation to static protected features (although some features may get increased protection if they move into MPAs). Dynamic closures (hashed boxes, Table 2) can help to fill the protection gap in a more rapid manner than simply extending or adding new MPAs; however, these dynamic areas will not count toward international targets unless they meet OECM criteria (see Table 3).
Assessment of whether dynamic management tools meet the CBD criteria (13) for being OECMs.
| Not currently recognized as a PA | Yes | |
| Geographically defined space | Yes in size and area described | |
| No for geographically delineated boundaries | ||
| Legitimate governance authorities | Yes | |
| Managed | Yes | |
| Effective | Yes (assuming biodiversity and conservation | |
| Sustained over the long term | Depends on definition of “long term.” Some features | |
| In situ conservation of biological diversity | Yes | |
| Information and monitoring | Yes | |
| Ecosystem functions and services | Yes | |
| Cultural, spiritual, socioeconomic, and other | Yes (assuming explicitly accounted for) | |