Marine Protected Areas In California Research Articles

Conservation benefits of a large marine protected area network that spans multiple ecosystems.

Marine protected areas (MPAs) are widely implemented tools for long-term ocean conservation and resource management. Assessments of MPA performance have largely focused on specific ecosystems individually and have rarely evaluated performance across multiple ecosystems either in an individual MPA or across an MPA network. We evaluated the conservation performance of 59 MPAs in California's large MPA network, which encompasses 4 primary ecosystems (surf zone, kelp forest, shallow reef, deep reef) and 4 bioregions, and identified MPA attributes that best explain performance. Using a meta-analytic framework, we evaluated the ability of MPAs to conserve fish biomass, richness, and diversity. At the scale of the network and for 3 of 4 regions, the biomass of species targeted by fishing was positively associated with the level of regulatory protection and was greater inside no-take MPAs, whereas species not targeted by fishing had similar biomass in MPAs and areas open to fishing. In contrast, species richness and diversity were not as strongly enhanced by MPA protection. The key features of conservation effectiveness included MPA age, preimplementation fisheries pressure, and habitat diversity. Important drivers of MPA effectiveness for single MPAs were consistent across MPAs in the network, spanning regions and ecosystems. With international targets aimed at protecting 30% of the world's oceans by 2030, MPA design and assessment frameworks should consider conservation performance at multiple ecologically relevant scales, from individual MPAs to MPA networks.

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.

Preferential selection of marine protected areas by the recreational scuba diving industry

Extensive research has illuminated the diverse values of marine protected areas (MPAs), including protecting biodiversity, promoting climate change resilience, and enhancing spillover to fisheries. Comparatively less attention has been given to if and how MPAs can benefit and influence marine ecotourism. Here we use Automatic Identification System (AIS) vessel data to create a long-term, high-resolution portrait of how MPAs shape the behavior of one prominent form of marine ecotourism: scuba diving. Specifically, we explore how the spatial use patterns of scuba diving vessels are affected by MPAs in California’s Northern Channel Islands when these vessels are engaged in two use scenarios: 1) non-extractive ecotourism diving (e.g., wildlife viewing, photography) and 2) recreational scuba-based lobster fishing. Using analyses of AIS data and resource selection models, coupled with insights from vessel operator surveys, we find that scuba diving vessels preferentially selected for MPAs when engaged in ecotourism activities, and for MPA buffer zones when engaged in lobster fishing (i.e., “fishing the line”). These conclusions provide strong evidence of the benefit of MPAs for the scuba diving industry in Southern California and highlight the value of engaging the ecotourism industry in MPA management decisions. This observation is especially timely as state, national, and international bodies advance on commitments to protect 30% of coastal waters in the coming years.

If you build it, they will come: Coastal amenities facilitate human engagement in marine protected areas

Abstract Calls for using marine protected areas (MPAs) to achieve goals for nature and people are increasing globally. While the conservation and fisheries impacts of MPAs have been comparatively well‐studied, impacts on other dimensions of human use have received less attention. Understanding how humans engage with MPAs and identifying traits of MPAs that promote engagement is critical to designing MPA networks that achieve multiple goals effectively, equitably and with minimal environmental impact. In this paper, we characterize human engagement in California's MPA network, the world's largest MPA network scientifically designed to function as a coherent network (124 MPAs spanning 16% of state waters and 1300 km of coastline) and identify traits associated with higher human engagement. We assemble and compare diverse indicators of human engagement that capture recreational, educational and scientific activities across California's MPAs. We find that human engagement is correlated with nearby population density and that site “charisma” can expand human engagement beyond what would be predicted based on population density alone. Charismatic MPAs tend to be located near tourist destinations, have long sandy beaches and be adjacent to state parks and associated amenities. In contrast, underutilized MPAs were often more remote and lacked both sandy beaches and parking lot access. Synthesis and applications: These results suggest that achieving MPA goals associated with human engagement can be promoted by developing land‐based amenities that increase access to coastal MPAs or by locating new MPAs near existing amenities during the design phase. Alternatively, human engagement can be limited by locating MPAs in areas far from population centres, coastal amenities or sandy beaches. Furthermore, managers may want to prioritize monitoring, enforcement, education and outreach programmes in MPAs with traits that predict high human engagement. Understanding the extent to which human engagement impacts the conservation performance of MPAs is a critical next step to designing MPAs that minimize tradeoffs among potentially competing objectives. Read the free Plain Language Summary for this article on the Journal blog.

Quantifying the Statistical Power of Monitoring Programs for Marine Protected Areas

Marine Protected Areas (MPAs) are increasingly established globally as a spatial management tool to aid in conservation and fisheries management objectives. Assessing whether MPAs are having the desired effects on populations requires effective monitoring programs. A cornerstone of an effective monitoring program is an assessment of the statistical power of sampling designs to detect changes when they occur. We present a novel approach to power assessment that combines spatial point process models, integral projection models (IPMs) and sampling simulations to assess the power of different sample designs across a network of MPAs. We focus on the use of remotely operated vehicle (ROV) video cameras as the sampling method, though the results could be extended to other sampling methods. We use empirical data from baseline surveys of an example indicator fish species across three MPAs in California, USA as a case study. Spatial models simulated time series of spatial distributions across sites that accounted for the effects of environmental covariates, while IPMs simulated expected trends over time in abundances and sizes of fish. We tested the power of different levels of sampling effort (i.e., the number of 500-m ROV transects) and temporal replication (every 1-3 yr) to detect expected post-MPA changes in fish abundance and biomass. We found that changes in biomass are detectable earlier than changes in abundance. We also found that detectability of MPA effects was higher in sites with higher initial densities. Increasing the sampling effort had a greater effect than increasing sampling frequency on the time taken to achieve high power. High power was best achieved by combining data from multiple sites. Our approach provides a powerful tool to explore the interaction between sampling effort, spatial distributions, population dynamics, and metrics for detecting change in previously fished populations.

Long-term participation in collaborative fisheries research improves angler opinions on marine protected areas.

Recent marine spatial planning efforts, including the management and monitoring of marine protected areas (MPAs), increasingly focus on the importance of stakeholder engagement. For nearly 15 years, the California Collaborative Fisheries Research Program (CCFRP) has partnered volunteer anglers with researchers, the fishing industry, and resource managers to monitor groundfishes in California’s network of MPAs. While the program has succeeded in generating sustained biological observations, we know little about volunteer angler demography or the impact of participation on their perceptions and opinions on fisheries data or MPAs. In this study we surveyed CCFRP volunteers to learn about (a) volunteer angler demographics and attitudes toward groundfish management and stock health, (b) volunteer angler motivations for joining and staying in the program, and (c) whether participation in the program influenced volunteer angler opinions on the quality of fisheries data used in resource management and the establishment of MPAs in California. CCFRP volunteers were older and had higher fishing avidity than average within the California recreational angling community. Many self-identified as more conservation-minded than their peers in the recreational fishing community and had positive views of California groundfish management and stock health. Participation in science and giving back to fisheries resources were major motivating factors in their decision to become and remain CCFRP volunteers. Angler opinions toward MPAs were more positive after volunteering with CCFRP. Those who had volunteered for seven or more years with CCFRP were more likely than not to gain a positive opinion of MPAs. Our survey results provide evidence that long-term engagement of stakeholders in collaborative research positively influences stakeholder opinions regarding marine resource management, and highlights CCFRP’s success in engaging citizen science stakeholders in collaborative fisheries research.

Quantifying the statistical power of monitoring programs for marine protected areas

Marine Protected Areas (MPAs) are increasingly established globally as a spatial management tool to aid in conservation and fisheries management objectives. Assessing whether MPAs are having the desired effects on populations requires effective monitoring programs. A cornerstone of an effective monitoring program is an assessment of the statistical power of sampling designs to detect changes when they occur. We present a novel approach to power assessment that combines spatial point process models, integral projection models (IPMs) and sampling simulations to assess the power of different sample designs across a network of MPAs. We focus on the use of remotely operated vehicle (ROV) video cameras as the sampling method, though the results could be extended to other sampling methods. We use empirical data from baseline surveys of an example indicator fish species across three MPAs in California, USA as a case study. Spatial models simulated time series of spatial distributions across sites that accounted for the effects of environmental covariates, while IPMs simulated expected trends over time in abundances and sizes of fish. We tested the power of different levels of sampling effort (i.e., the number of 500-m ROV transects) and temporal replication (every 1-3yr) to detect expected post-MPA changes in fish abundance and biomass. We found that changes in biomass are detectable earlier than changes in abundance. We also found that detectability of MPA effects was higher in sites with higher initial densities. Increasing the sampling effort had a greater effect than increasing sampling frequency on the time taken to achieve high power. High power was best achieved by combining data from multiple sites. Our approach provides a powerful tool to explore the interaction between sampling effort, spatial distributions, population dynamics, and metrics for detecting change in previously fished populations.

Citizen science monitoring of marine protected areas: Case studies and recommendations for integration into monitoring programs

AbstractEcosystem‐based management and conservation approaches such as marine protected areas (MPAs) require large amounts of ecological data to be implemented and adaptively managed. Recently, many citizen science programs have endeavored to help provide these much‐needed data. Implementation of MPAs under the Marine Life Protection Act (MLPA) Initiative in Southern California was followed by a monitoring program to establish a comprehensive baseline of the ecological conditions of several marine ecosystems at the time of MPA implementation. This baseline monitoring consortium involved several citizen science monitoring programs alongside more traditional academic monitoring programs, creating an opportunity to evaluate the potential for citizen scientists to become more involved in future long‐term monitoring efforts. We investigated different citizen science models, their program goals, and contributions to MPA baseline monitoring, including their respective monitoring protocols and data quality assurance measures, in the context of the goals of the MLPA baseline monitoring program. We focused on three very different case studies: (i) commercial fishermen and other volunteers collaborating with researchers to study the California spiny lobster, (ii) volunteer divers monitoring rocky reefs with the Reef Check California (RCCA) program and (iii) middle and high school students monitoring the inter‐tidal life of rocky shore and sandy beach ecosystems with the National Marine Sanctuaries’ Long‐term Monitoring Program and Experiential Training for Students (LiMPETS) program. We elucidate capacities and potential of citizen science approaches for MPA baseline monitoring and for building capacity towards sustainable long‐term monitoring of MPAs. Results from this study will be relevant and timely as the monitoring of California's MPAs transitions from baseline to long‐term monitoring, and as citizen science continues to become more prevalent in California and elsewhere.

Disentangling the effects of fishing and environmental forcing on demographic variation in an exploited species

Species targeted by fishing often recover in abundance and size within marine protected areas (MPAs) resulting in increased reproductive potential. However, in some situations, concomitant changes in the abundance of predators, competitors, or prey within MPAs, or strong gradients in the surrounding environmental seascape may counteract the purported benefits making it more difficult to predict how species will respond to protection. We used a network of MPAs in California, spanning a large temperature gradient, to investigate the drivers of demographic variability in the commercially important red sea urchin Mesocentrotus franciscanus. We investigated how demographic metrics varied geographically in response to protection, temperature, and the main sea urchin resource, the giant kelp Macrocystis pyrifera. We found significant conservation benefits to this fished sea urchin within MPAs designated six years prior to the beginning of this study. Within MPAs, red sea urchins were generally larger resulting in greater adult biomass density and reproductive biomass density. In addition, kelp density was an important explanatory variable of all red sea urchin demographic traits examined (adult size, gonadosomatic index [GSI], density, adult biomass density, and reproductive biomass density). Kelp density was positively correlated with red sea urchin GSI and adult size, but the relationships with density, adult biomass density, and reproductive biomass density were complex and the directionality changed depending on the region (or environmental setting) examined. Our results demonstrate that kelp, red sea urchin reproduction, and the effects of spatial management on demographic processes are tightly coupled with the oceanographic regime.

Classifying levels of protection in Marine Protected Areas

Abstract Marine Protected Areas (MPAs) are an important tool for the conservation of marine species and ecosystems. Yet despite the significant differences between marine and terrestrial systems in terms of their critical ecological processes, stresses, and relationships with cultural systems, methods used to characterize levels of protection for biological diversity in MPAs are all derived from schemes developed for terrestrial systems. A new system designed to classify levels of protection in MPAs is proposed, based on criteria specifically relevant to marine systems. MPAs are characterized by each of the seven criteria: designated use, quality of natural character, extent of protection throughout the year, extent of zoning into sub-areas for multiple uses, public access, extraction of resources, and size with respect to supporting critical ecological processes. Five levels of protection are defined, labeled I–V: Wilderness Management Area (Level I), Research Management Area, Ecological Management Area, Human Recreation Management Area, and Sustainable Resource Management Area (V). A level is assigned to an MPA based on the level that matches the largest number of categories across all seven criteria. The uses and benefits of this system of classification relative to existing systems are discussed and examples of its application are illustrated using data on 83 MPAs in California (USA) and 10 globally.

Assessment of habitat and predator effects on dwarf rockfishes (Sebastes spp.) using multi model inference

Habitat associations and the effect of predators on dwarf rockfishes (Sebastes spp.) were investigated in two large marine protected areas (MPAs) off southern California. Using data from submersible surveys, the occurrence and abundance of dwarf rockfishes were modeled using substrata types and the biomass of predators as predictor variables. The occurrence and abundance of dwarf rockfishes generally were positively associated with rock, boulder, and cobble substrata. The association between predators and occurrence of dwarf rockfishes differed substantially between species. Predator density and biomass levels were much lower in the southern California MPAs than in a de facto MPA off central California. Better inference about predator effects on dwarf rockfishes will be possible if the predator biomass and densities of southern California MPAs increase to that observed in the de facto MPA.

A Collective Interest Model Approach to Explain the Benefit–Cost Expectations of Participating in a Collaborative Institution

What factors explain stakeholder benefit–cost expectations for participating in a collaborative institution? This article examines this question by applying a version of the collective interest model. The case study includes original data from a mail-in questionnaire and in-person interviews of stakeholders' expectations before the start of a collaborative process to establish marine-protected areas in California. The results provide little support for the traditional variables in the collective interest model with null results for group and personal efficacy. Selective incentives, especially putting in your own time versus company time, are important in explaining stakeholders' benefit–cost expectations. The results show that ally efficacy is an important factor, suggesting that perceptions of allies compared to opponents shape initial expectations for a collaborative process. This article adds to the research on political participation in environmental management by presenting a rare exploration of ex ante beliefs before the start of a collaborative planning institution.