Network Of Marine Protected Areas Research Articles

Identifying Gaps in the Protection of Mediterranean Seagrass Habitats Using Network‐Based Prioritisation

ABSTRACTAimSeagrass meadows represent a key marine ecosystem owing to the significant biodiversity they host. Protection actions are often implemented without considering connectivity between habitats. In this article, we project and prioritise Mediterranean seagrass habitats (Posidonia oceanica and Cymodocea nodosa) based on their potential as sources/retention and stepping stones for dispersal propagules of the associated biotic communities. We use this information to identify gaps in the protection of highly ranked habitats.LocationMediterranean Sea.MethodsWe related seagrass observations with marine environmental predictors to run species distribution models and infer the distribution of Mediterranean seagrasses. We then used a network‐based approach (CONEFOR) to rank patches of seagrass suitable areas based on their contribution to the seascape in terms of patch area, potential as source/retention of propagules and stepping stone. Finally, by overlaying our ranking with the spatial distribution of marine protected areas (MPAs), we identified potential gaps in the protection of important seagrass habitats across the Mediterranean and its basins.ResultsMost of the identified patches of seagrass suitable areas are not included in MPAs, only reaching a maximum protection coverage of ~50% in the Northwestern Mediterranean. Relatively few patches contribute disproportionately to connectivity, but top‐ranked habitat patches are not included within the existing MPAs network, both at the Mediterranean scale and for most basins. The largest gaps for the source/sink role are in the Aegean and Ionian Sea, and largest gaps for the stepping stone role are in the Adriatic, Ionian and Tyrrhenian Sea.Main ConclusionsOur results suggest that the current MPAs network fails to protect highly relevant patches of seagrass suitable areas in most of the Mediterranean basins. However, this gap could be filled by a few well‐placed MPAs. Overall, we provide novel insights for the identification of key habitats and planning novel coastal MPAs in the region.

Establishing a Marine Protected Area network using a Marine Spatial Planning approach: A reflection on practical challenges and opportunities for social–ecological integration

AbstractIntegrative social–ecological approaches are crucial for addressing sustainability challenges in coastal and marine systems. Among these, Marine Spatial Planning (MSP) emerges as a pivotal approach for integrated management. Often, the establishment of Marine Protected Areas (MPAs) and the application of MSP occur in parallel. Given the potential synergies, there is a need to better understand and address barriers to the adoption of MSP approaches for integrative conservation mechanisms. Using São Tomé and Príncipe as a case study, we illustrate how MSP was employed as an operational framework for establishing an MPA network. Drawing on the experiences of people directly involved in this co‐design process, we reflect on the main challenges and opportunities in achieving social–ecological integration, and highlight recommendations for conservation practitioners and planners. Applying MSP was perceived to contribute substantially to multiple project goals, with some (e.g., incorporating perspectives and needs of vulnerable groups) more challenging to achieve. While MSP enhanced conceptual, disciplinary, methodological and functional integration, practical challenges in implementation hindered the extent to which each of these was achieved. Given international commitments to Blue Growth, high fisheries dependence and current patterns of change, developing effective integrative MSP approaches is essential for social–ecological resilience.

From design to implementation: Lessons from planning the first marine protected area network in Canada

The social-ecological outcomes of marine protected areas (MPAs) can be amplified when sites are designed in networks that function cooperatively and synergistically. From 2015–2024, seventeen First Nations, the Province of British Columbia, and the Government of Canada collaboratively developed a Network Action Plan to establish an MPA Network for the Northern Shelf Bioregion (NSB). The NSB is a diverse and complex social-ecological region in British Columbia that spans an area of 102,000 km2 from Northern Vancouver Island to the Alaska border. Here, we describe the MPA Network planning process and the transition from Network planning to implementation. We discuss key elements of success that enabled the Network Action Plan’s collaborative development and lessons learned to inform and improve regional MPA Network implementation and global MPA Network planning and implementation. All phases of the planning process, including governance, development, engagement, design, and analysis, were guided by the following principles: collaborative governance, multiple ways of knowing, participatory engagement, and adaptation to new information. The Network Action Plan’s dynamic design process resulted in innovative approaches and tools to protect conservation objectives throughout the NSB. As the NSB MPA Network process transitions from planning toward implementation, collaborative governance, network monitoring, and ongoing participatory engagement processes will play a central role in advancing the goals and objectives articulated in the Network Action Plan and ensuring equitable social-ecological outcomes. Overall, the NSB MPA Network planning process provides a model for collaborative design of MPA Networks and can inform co-governance and co-management processes throughout the world.

Connecting the dots: Applying multispecies connectivity in marine park network planning

Marine ecosystems are highly dynamic, and their connectivity is affected by a complex range of biological, spatial, and oceanographic factors. Incorporating connectivity as a factor in the planning and management of marine protected areas (MPAs) is important yet challenging. Here, we implemented a novel integrative framework that uses intraspecific genetic and genomic data for multiple marine species to characterise connectivity across a recently established South Australian MPA network. We generated connectivity networks, estimated cross-species concordance of connectivity patterns, and tested the impact of key spatial and oceanographic factors on each species. Connectivity patterns varied markedly among species, but were most correlated among those with similar dispersal strategies. Ordination analyses revealed significant associations with both waterway distances and oceanographic advection models. Notably, waterway distances provided better predictive power in all-species combined analyses. We extended the practical relevance of our findings by employing spatial prioritisation with Marxan, using node values derived from both genetic and geographic connectivity networks. This allowed the identification of several priority areas for conservation, and substantiated the initial decision to employ spatial distance as a proxy for biological connectivity for the design of the South Australian marine park network. Our study establishes a baseline for connectivity monitoring in South Australian MPAs, and provides guidelines for adapting this framework to protected networks elsewhere in the world.

Identification of Key Habitats of Bowhead and Blue Whales in the OSPAR Area of the North-East Atlantic—A Modelling Approach towards Effective Conservation

Effective protection of highly mobile and data-poor species constitutes a great challenge amid growing ocean exploitation and use. Blue whales and bowhead whales in the North-East Atlantic face several threats, such as climate change, ship strikes, pollution, and entanglement in fishing gear. Consequently, the OSPAR (“Oslo-Paris Convention for the Protection of the Marine Environment of the North-East Atlantic”) Commission recognised their need for protection and included them on the OSPAR List of Threatened and/or Declining Species. Two actions to protect these endangered species that OSPAR Contracting Parties have agreed on are (i) identifying areas that play an essential role in the species’ life cycle—subsequently called key habitats, and (ii) ensuring that those key habitats are covered by OSPAR marine protected areas (MPAs). In addition, OSPAR has committed to expanding its network of MPAs and other effective area-based conservation measures by 2030 to cover at least 30% of the OSPAR maritime area (termed the 30 × 30 target) from today’s approx. 11%. In this paper, we present the results of modelling key habitats for the bowhead and blue whales in the North-East Atlantic, including Arctic waters. Due to the sparse data situation for these species, we apply presence-only modelling methods. As this method can, in principle, produce somewhat biased results, we recommend that systematic, regular surveys on these species in Arctic waters be significantly intensified for future analyses to overcome the data paucity and allow using presence–absence/count data modelling approaches. Key habitats of blue whales were identified between Iceland and Svalbard, extending to the Azores. For bowhead whales, key habitats were identified in the Fram Strait. However, our findings show that only 11.8% of blue whale key habitats and 4.1% of bowhead whale key habitats are currently covered by OSPAR MPAs. To protect 30% of key habitats for these species in the most efficient way, our analyses suggest that suitable areas to designate new OSPAR MPAs are located around the Azores for blue whales and in the Fram Strait for bowhead whales. With these additional MPAs, OSPAR would substantially improve the protection of the two endangered species and, at the same time, progress towards its 30 × 30 target.

Reflections on How to Reach the “30 by 30” Target: Identification of and Suggestions on Global Priority Marine Areas for Protection

The establishment of marine protected areas (MPAs) is an important method to ensure marine protection. To protect and conserve global marine biodiversity, with the adoption of the “Kunming-Montreal Global Biodiversity Framework” during the 15th meeting of the Conference of the Parties of Convention on Biodiversity (CBD) in December 2022, the establishment of an effectively managed MPA network by 2030 and the protection of 30% of the world’s oceans will be common goals for all countries party to the CBD over the next decade. Based on the distribution of over 150 types of marine species, habitats, ecosystems, and abiotic elements, ArcGIS10.5 and Zonation are used in this study to calculate the marine protection priority levels of coastal, nearshore, open ocean, and deep ocean trench areas, and a plan to reach the “30 by 30” targets is proposed. The suggestions for scientifically identifying and managing MPAs are as follows: first, improve MPA planning and establish a well-connected MPA network in national jurisdictions, then conduct scientific marine investigations to obtain background data on MPA establishment and delimitation.

Diving deep into the network: Quantifying protection effects across California's marine protected area network using a remotely operated vehicle

AbstractNetworks of marine protected areas (MPAs) are being increasingly implemented worldwide as conservation management tools. We report here on MPA effectiveness using data from a 17‐year long remotely operated vehicle (ROV) monitoring program spanning mesophotic (~ 20–130 m) depths in 26 MPAs across California's MPA network. We utilize a spatial modeling approach that includes important environmental covariates as well as spatial dependence in the data, and allows the separation of statewide and regional trends in the abundance of focal species from additional trends specific to MPAs. We demonstrate that there have been statewide and/or regional recoveries in abundance for the majority of our 10 focal demersal fish species, with all four statewide species assessments and 18 out of 22 species‐region combinations assessed displaying positive trends. We also demonstrate that MPA protection has had an additional positive effect on the abundance of the majority of these focal species inside MPAs compared with reference areas, with positive effects for all four statewide species, and 18 out of 22 statewide/regions assessed showing positive effects, four showing no statistically detectable differences, and no negative MPA effects found. Comparisons with theoretical expectations of MPA recovery for our focal species showed that 2 out of 4 statewide, and 11 out of 17 species‐region combinations assessed displayed higher mean MPA effects than expected. Our results highlight strong trajectories of increasing abundance and additional MPA effects for many of our focal species, demonstrating that MPAs are having positive effects in mesophotic depths across the network as well as at previously reported shallower depths, and that image‐based platforms such as ROVs provide an important tool to support timely reporting on the effectiveness of MPA networks.

Global expansion of marine protected areas and the redistribution of fishing effort

The expansion of marine protected areas (MPAs) is a core focus of global conservation efforts, with the "30x30" initiative to protect 30% of the ocean by 2030 serving as a prominent example of this trend. We consider a series of proposed MPA network expansions of various sizes, and we forecast the impact this increase in protection would have on global patterns of fishing effort. We do so by building a predictive machine learning model trained on a global dataset of satellite-based fishing vessel monitoring data, current MPA locations, and spatiotemporal environmental, geographic, political, and economic features. We then use this model to predict future fishing effort under various MPA expansion scenarios compared to a business-as-usual counterfactual scenario that includes no new MPAs. The difference between these scenarios represents the predicted change in fishing effort associated with MPA expansion. We find that regardless of the MPA network objectives or size, fishing effort would decrease inside the MPAs, though by much less than 100%. Moreover, we find that the reduction in fishing effort inside MPAs does not simply redistribute outside-rather, fishing effort outside MPAs would also decline. The overall magnitude of the predicted decrease in global fishing effort principally depends on where networks are placed in relation to existing fishing effort. MPA expansion will lead to a global redistribution of fishing effort that should be accounted for in network design, implementation, and impact evaluation.

An ecological coherence assessment of the Wider Caribbean Region marine protected area network

Marine protected areas (MPA) are area-based management tools that serve as the cornerstone for marine conservation and sustainable use. There has been a recent shift from establishing MPAs on an individual basis to establishing networks of connected MPAs to better reflect the transient dynamics of marine species and to ensure they are acting synergistically to deliver their intended outcomes in a coherent manner. This study employs innovative geospatial analysis to assess the ecological coherence of the MPA network comprising 846 sites within the Wider Caribbean Region, a global hotspot of marine biodiversity. Evaluating four main criteria widely used in policy—representativity, replicability, connectivity, and adequacy—through 14 tests, our findings indicate that the current MPA network is unlikely to have achieved ecological coherence across all criteria. To improve ecological coherence, regional management could focus on expanding coverage of ecologically important areas, encompassing a broader range of biogeographic zones, and protecting the full spectrum of marine habitats in the region. Efforts should also be directed towards establishing larger MPAs and increasing the number of MPAs with no-take zones, while ensuring the protection of indigenous and local communities' rights to sustainable marine resource use.

Marine connectivity conservation: Guidance for MPA and MPA network design and management

The importance of considering ecological connectivity in the design of marine protected areas (MPAs) and ecologically coherent networks of protected areas across coasts and oceans has risen in prominence with the 2022 Kunming-Montreal Global Biodiversity Framework. This short communication highlights key messages emerging from a specialist conference session on marine connectivity by members of the IUCN-WCPA Marine Connectivity Working Group at the Fifth International Marine Protected Areas Congress (IMPAC5) in Vancouver in 2023. We consider the importance of spatial and temporal scale, knowledge and data gaps and some of the technological and scientific advances that are generating insights into species movements that can inform the ecologically meaningful design of protected areas for effective conservation of ecosystem integrity, biodiversity and the flow of ecosystem services.

Tinkering While the Arctic Marine Environment Totters: Governance and the Triple Polar Crisis$

After describing how the marine environment is tottering in the face of the triple environmental crisis, this article explores the limited governance progressions at the global and regional levels in addressing the threats of pollution, climate change and biodiversity loss in the especially vulnerable Arctic. For pollution, key limitations include slow and arduous processes to add chemicals for control under the Stockholm and Rotterdam Conventions and reliance at the regional level on a fragmented array of pollution studies and projects but without specific region-wide legally binding pollution standards. For climate change, the world is not on track to meet the Paris Agreement’s temperature targets which is especially problematic for the Arctic cryosphere while the Arctic Council has largely been limited to providing general statements of concern and aspirational calls for enhanced climate mitigation and adaptation actions. For marine biodiversity losses, a pan-Arctic network of marine protected areas has yet to be developed and various implementation challenges surround the Agreement to Prevent Unregulated High Seas Fisheries in the Central Arctic Ocean including the need to ensure adequate financial, human resource and technical support. The paper concludes by highlighting some promising future governance directions. They include: the conclusion of a global treaty on plastic pollution; implementation of a new Global Framework on Chemicals – For a Planet Free of Harm from Chemicals and Waste; expected further clarifications from international tribunals on State responsibilities to address climate change; and regional implementation of the Kunming-Montreal Global Biodiversity Framework and the new agreement under the UN Convention on Law of the Sea on the conservation and sustainable use of marine biological diversity of areas beyond national jurisdiction.

Accurately predicting rare and poorly detectable species habitat for spatial protection

Abstract With the loss of biodiversity worldwide, understanding species distribution is essential for species management, but modelling the distribution of rare and poorly detectable species can be challenging because of data gaps and observer biases. Over‐ or under‐predictions are frequent, leading to uncertainty in spatial management measures, particularly for highly mobile and data‐poor species. Here we developed a ‘Combined Model for Accurate Prediction’ to accurately predict the distribution of data‐poor and rare species. This modelling framework aims to improve the accuracy of both predicted ‘core’ and ‘unsuitable’ habitats, to help support managers with spatial protection measures. We tested the combined modelling approach on 11 data‐poor and rare diadromous fish during their at‐sea life history phase and used the combined model to analyse the adequacy of existing marine protected areas (MPAs) for these fish. The combined modelling approach modelled both ‘core’ and ‘unsuitable’ habitats with high accuracy. Of the seven diadromous species modelled, most MPAs designated to protect diadromous fish are outside their core habitats. Furthermore, when their core habitat was within an MPA, only 50% of this area was designated to protect them. These results highlight inadequate protection of the existing networks of MPAs for protected and threatened species. Synthesis and applications. Being able to accurately model species distribution is critical to reliable and transparent biodiversity and conservation assessments. By modelling accurate ‘core’ and ‘unsuitable’ habitats with models that minimise omission and commission rates respectively, conservation measures could be targeted in specific spatial areas that maximise the protection of rare and poorly detected species. This method therefore helps minimise impacts on stakeholders, while providing managers with increased confidence in the model predictions.

Marine protected areas and fishing community well-being: An example from statewide socioeconomic monitoring of the California MPA network

As marine protected areas (MPAs) continue to proliferate as an ocean conservation tool, it is important to understand their socioeconomic outcomes, both in the short-term following implementation and in the long-term as they become a more permanent part of the ocean landscape. This paper presents results from an effort to conduct long-term socioeconomic monitoring of commercial fishing communities in relation to California's statewide MPA network, which was fully implemented in 2012 and consists of 124 MPAs covering 16% of state waters. To assess commercial fishing community perceptions of well-being and outcomes from the MPA network, we held virtual focus groups in 18 major port-based commercial fishing communities across California with a total of 85 participants from 2020 to 2021. Focus groups had both quantitative and qualitative components, with participants rating their fishing community and engaging in discussions on topics related to their environmental, economic, and social well-being and MPA outcomes. Results revealed that perceptions of fishing community well-being varied throughout the state, but were overall low. Key areas for improvement included recruitment and retention of participants in the fishing industry, availability and maintenance of key fishing infrastructure, and access to harvestable resources. Fishing community perceptions of the management and outcomes from the MPA network were overwhelmingly low across the state with little variation. Common reasons for participant dissatisfaction included perceptions of negative ecological and livelihood outcomes from the MPAs and a perceived lack of clear MPA management goals in addition to poor communication of those goals. Overall findings highlight the value of collecting community well-being data in coordination with long-term socioeconomic MPA monitoring to understand the greater context in which MPAs are received. A well-being approach to socioeconomic MPA monitoring also broadens policy pathways that could help improve outcomes from and beyond MPAs to support overall fishing community health.

Developing an integrated framework for Marine Cultural Heritage (MCH) and Marine Protected Areas (MPA) across Africa and the Middle East

There is currently a significant imbalance in existing marine resource management frameworks. Across Africa and the Middle East there is a developing network of marine protected areas focused on natural heritage but with very limited engagement with area-based management for cultural heritage. Yet both natural and cultural heritage resources are subject to the same considerable threat levels from both natural and anthropogenic processes of change. The MarEA project is engaged in an extensive programme of mapping and documentation of endangered cultural heritage sites and landscapes across the MENA region. During the course of this and aligned work, its engagement with coastal communities and international practice has identified a clear need for more informed and holistic approaches to marine resource management. This study presents a model for the integrated management of natural and cultural heritage and proposes a framework for the future identification and designation of Marine Cultural Heritage in Protected Areas.

Quantifying marine larval dispersal to assess MPA network connectivity and inform future national and transboundary planning efforts

A marine protected area (MPA) network of multiple reserves can protect biodiversity across space, but to be effective, network configuration should support dispersal among MPAs as well as spillover to unprotected habitats. The ability of MPAs to function as an interacting network of populations connected by dispersal, however, is difficult to estimate at broad spatial scales, and therefore, connectivity is often not integrated in MPA design. Here, we simulate passive larval dispersal using a biophysical model to estimate potential transboundary network connectivity of MPAs in western Canada and United States. Drift time was varied to represent generic functional groups of nearshore species with planktonic larvae and sedentary adult stages. We found that MPAs potentially act as an interacting network and meet connectivity design criteria for nearshore invertebrate species, many MPAs (65%–90%) possibly exchange individuals, and a third of larvae from MPAs (25%–32%) source areas of the unprotected coast. This analysis provides a first approximation of multispecies connectivity to inform ongoing transboundary MPA design, and it can be used as a foundation for future model development.

A Resilient Marine Protected Area Network Design: A First for the Arafura Timor Seas

The Arafura and Timor Seas (ATS) comprise both near pristine and highly threatened marine ecosystems. There are four littoral nations (Indonesia, Timor-Leste, Australia, and Papua New Guinea), which have independently established Marine Protected Areas (MPAs). We design the first resilient MPA network for the entire region to protect critical habitats and species by considering transboundary features (i.e., connectivity of fisheries, rare, threatened, and protected species), uses and threats (i.e., fishing and climate change). We used Geographic Information System processing to identify gaps in the regional network based on existing and proposed MPAs and Areas of Interest (AOIs: previously identified as potential new MPAs) in each country, followed by systematic conservation planning to identify new AOIs for establishing MPAs to fill these gaps. The ATS MPA Network design (301,055 km2) has been endorsed by all four countries and includes all 93 existing (265,405 km2) and proposed (6,264 km2) MPAs, 13 previously identified AOIs (14,773 km2), and seven new AOIs identified in this study (14,613 km2). Of the new AOIs, three have been incorporated in Indonesia’s national MPA network plan, one is in a new MPA currently being developed in Timor-Leste, and Australia is considering two as potential areas for new MPAs.

Ocean protection quality is lagging behind quantity: Applying a scientific framework to assess real marine protected area progress against the 30 by 30 target

AbstractThe international community set a global conservation target to protect at least 30% of the ocean by 2030 (“30 × 30”) to reverse biodiversity loss, including through marine protected areas (MPAs). However, varied MPAs result in significantly different conservation outcomes, making MPA coverage alone an inadequate metric. We used The MPA Guide framework to assess the the world's largest 100 MPAs by area, representing nearly 90% of reported global MPA coverage and 7.3% of the global ocean area, and analyzed the distribution of MPA quality across political and ecological regions. A quarter of the assessed MPA coverage is not implemented, and one‐third is incompatible with the conservation of nature. Two factors contribute to this outcome: (1) many reported MPAs lack regulations or management, and (2) some MPAs allow high‐impact activities. Fully and highly protected MPAs account for one‐third of the assessed area but are unevenly distributed across ecoregions in part because some nations have designated large, highly protected MPAs in their overseas or remote territories. Indicators of MPA quality, not only coverage, are needed to ensure a global network of MPAs that covers at least 30% of the ocean and effectively safeguards representative marine ecosystems from destructive human activities.

Highlighting the gap on spatial regulatory data in the official MPAs databases

Marine protected areas (MPAs) are a cornerstone for conserving marine ecosystems. Legal instruments and directives have been put in place to foster conservation of species and habitats; among all, the development and implementation of a coherent network of effective MPAs. Spatial information on management measures and on regulated, forbidden or allowed activities are fundamental to understand the actual role of MPAs and to support/guide policy decisions. The shortage of standardized geospatial information on MPA management, governance features, and human uses hinders policy makers’ ability to make informed decisions regarding the designation, implementation and evaluation of marine associated policies. This policy brief aims to stimulate international actions to enable researchers and decision-makers accessing data for policy development, marine/maritime spatial planning and decision-making processes.

Spatial connectivity of reef manta rays across the Raja Ampat archipelago, Indonesia.

The reef manta ray Mobula alfredi is present throughout most island groups that form the Raja Ampat archipelago, Indonesia. The species is protected regionally and nationally and is currently managed as a single homogeneous population within the 6.7 million ha archipelago. However, scientific evidence is currently lacking regarding the spatial connectivity and population structure of M. alfredi within this archipelago. Using network analysis and an array of 34 acoustic receivers deployed throughout Raja Ampat between February 2016 and September 2021, we examined the movements of 72 subadult and adult M. alfredi tagged in seven regions of Raja Ampat. A total of 1094 M. alfredi movements were recorded and were primarily concentrated between nearby receiver stations, highlighting frequent local movements within, and limited long-distance movements between regional acoustic receiver arrays. Network analysis revealed highly connected nodes acting as hubs important for M. alfredi movements. A community detection algorithm further indicated clusters within the network. Our results suggest the existence of a metapopulation comprising three demographically and geographically distinct subpopulations within the archipelago. They also reveal the importance of Eagle Rock as a critical node in the M. alfredi movement network, justifying the urgent inclusion of this site within the Raja Ampat marine protected area network.

Climate change reduces long-term population benefits from no-take marine protected areas through selective pressures on species movement.

Marine protected areas (MPAs) are important conservation tools that confer ecosystem benefits by removing fishing within their borders to allow stocks to rebuild. Fishing mortality outside a traditionally fixed MPA can exert selective pressure for low movement alleles, resulting in enhanced protection. While evolving to move less may be useful for conservation presently, it could be detrimental in the face of climate change for species that need to move to track their thermal optimum. Here, we build a spatially explicit simulation model to assess the impact of movement evolution in and around static MPAs resulting from both fishing mortality and temperature-dependent natural mortality on conservation benefits across five climate scenarios: (i) linear mean temperature shift, (ii) El Niño/La Niña conditions, (iii) heat waves, (iv) heatwaves with a mean temperature shift, and (v) no climate change. While movement evolution allows populations within MPAs to survive longer, we find that over time, climate change degrades the benefits by selecting for higher movement genotypes. Resulting population declines within MPAs are faster than expected based on climate mortality alone, even within the largest MPAs. Our findings suggest that while static MPAs may conserve species for a time, other strategies, such as dynamic MPA networks or assisted migration, may also be required to effectively incorporate climate change into conservation planning.