Marine Conservation Research Articles

Marine spatial planning for socio‐ecological management of animal‐associated microbiomes

AbstractBiodiversity changes and habitat shifts are two phenomena substantially reshaping marine life on our present and future planet. Although those phenomena are well recognized on the macrobial level, they currently do not receive similar attention on the microbial level. Generally, microbiome diversity and function, associated with and governing the health and fitness of their host organisms, are neglected in conservation efforts. This is especially problematic as previous research has highlighted that host‐associated microbes (microbiomes) may display distribution patterns that are not only correlated with host animal biogeographies but also with other factors such as prevailing environmental conditions. Here, marine spatial planning for socio‐ecological management of animal‐associated microbiomes is discussed, using deep‐sea sponge and coral‐associated microbiomes as an example of how to incorporate microbial diversity into conservation planning. We advocate for a holistic and integrative approach to marine spatial planning that incorporates the larger habitat, the host, the microbiome, as well as the socio‐economic and cultural perspective, throughout the whole decision‐making process. A general workflow containing the needed steps to establish microbiome‐integrated marine protected areas is presented, as well as the analytical steps and results underlying the implementation of the world's first microbiome‐considered marine conservation network on the Scotian Shelf off eastern Canada.

Detection of Typical Transient Signals in Water by XGBoost Classifier Based on Shape Statistical Features: Application to the Call of Southern Right Whale

Whale sound is a typical transient signal. The escalating demands of ecological research and marine conservation necessitate advanced technologies for the automatic detection and classification of underwater acoustic signals. Traditional energy detection methods, which focus primarily on amplitude, often perform poorly in the non-Gaussian noise conditions typical of oceanic environments. This study introduces a classified-before-detect approach that overcomes the limitations of amplitude-focused techniques. We also address the challenges posed by deep learning models, such as high data labeling costs and extensive computational requirements. By extracting shape statistical features from audio and using the XGBoost classifier, our method not only outperforms the traditional convolutional neural network (CNN) method in accuracy but also reduces the dependence on labeled data, thus improving the detection efficiency. The integration of these features significantly enhances model performance, promoting the broader application of marine acoustic remote sensing technologies. This research contributes to the advancement of marine bioacoustic monitoring, offering a reliable, rapid, and training-efficient method suitable for practical deployment.

Deepdive: Leveraging Pre-trained Deep Learning for Deep-Sea ROV Biota Identification in the Great Barrier Reef

Understanding and preserving the deep sea ecosystems is paramount for marine conservation efforts. Automated object (deep-sea biota) classification can enable the creation of detailed habitat maps that not only aid in biodiversity assessments but also provide essential data to evaluate ecosystem health and resilience. Having a significant source of labelled data helps prevent overfitting and enables training deep learning models with numerous parameters. In this paper, we contribute to the establishment of a significant deep-sea remotely operated vehicle (ROV) image classification dataset with 3994 images featuring deep-sea biota belonging to 33 classes. We manually label the images through rigorous quality control with human-in-the-loop image labelling. Leveraging data from ROV equipped with advanced imaging systems, our study provides results using novel deep-learning models for image classification. We use deep learning models including ResNet, DenseNet, Inception, and Inception-ResNet to benchmark the dataset that features class imbalance with many classes. Our results show that the Inception-ResNet model provides a mean classification accuracy of 65%, with AUC scores exceeding 0.8 for each class.

Local ecological knowledge and community perceptions of a nascent arribada beach in Costa Rica

Arribadas present many research challenges, such as establishing historical baselines and the elucidation of their formation and evolution. For local communities arribadas mean addressing shifts in areas such as tourism, sea turtle egg extraction and animal predation dynamics, representing a potential catalyst for changing attitudes towards sea turtle conservation. This study aims to provide insights about the onset and evolution of Corozalito, a nascent Costa Rican arribada beach, by compiling local ecological knowledge (LEK), and by identifying the local perceptions towards the mass nesting event and its socio-economic and conservation impacts. From October to December 2018, we conducted two types of semi-structured interviews: 10 to key informants (KIs) gathering LEK of Corozalito arribada and 15 to local respondents assessing perceptions about this phenomenon. According to KIs, Corozalito arribadas started in the late 1990s, early 2000s, exhibiting a growing trend in magnitude and frequency, which is consistent with published monitoring data. There was a general basic understanding among community members about the importance of sea turtle conservation. Regarding threats to sea turtles during arribadas, animal nest predation was the most frequently mentioned; nonetheless, most respondents attributed it to a natural process. In contrast, sea turtle egg extraction presented the most divided opinions, being reported as a source of conflict in the past for the community. Most respondents expressed concerns about egg removal for commercial purposes. Clutch density, nest destruction, and legal egg extraction in similar arribada sites, were occasionally mentioned as arguments favoring sea turtle egg extraction. Additionally, there was a general feeling that tourism should be promoted with regulations for economic revenue in the short-term. Overall, this study provides useful information about the establishment and evolution of Corozalito arribadas along with its impacts on the local community, which can inform future management and conservation strategies.

Changes in Seagrass Community Structure in Response to Sediment Load and Excess Nutrients, and its Implication to Carbon Stocks in the Berau Marine Conservation Area

Changes in Seagrass Community Structure in Response to Sediment Load and Excess Nutrients, and its Implication to Carbon Stocks in the Berau Marine Conservation Area

The Past and Future of the Fisheries and Marine Ecosystem Model Intercomparison Project

AbstractClimate change is increasingly affecting the world's ocean ecosystems, necessitating urgent guidance on adaptation strategies to limit or prevent catastrophic impacts. The Fisheries and Marine Ecosystem Model Intercomparison Project (FishMIP) is a network and framework that provides standardised ensemble projections of the impacts of climate change and fisheries on ocean life and the benefits that it provides to people. Since its official launch in 2013 as a small, self‐organized project within the larger Inter‐Sectoral Impact Model Intercomparison Project, the FishMIP community has grown substantially and contributed to key international policy processes, such as the Intergovernmental Panel on Climate Change Assessment Report, and the Intergovernmental Science‐Policy Platform on Biodiversity and Ecosystem Services Global Biodiversity Assessment. While not without challenges, particularly around comparing heterogeneous ecosystem models, integrating fisheries scenarios, and standardising regional‐scale ecosystem models, FishMIP outputs are now being used across a variety of applications (e.g., climate change targets, fisheries management, marine conservation, Sustainable Development Goals). Over the next decade, FishMIP will focus on improving ecosystem model ensembles to provide more robust and policy‐relevant projections for different regions of the world under multiple climate and societal change scenarios, and continue to be open to a broad spectrum of marine ecosystem models and modelers. FishMIP also intends to enhance leadership diversity and capacity‐building to improve representation of early‐ and mid‐career researchers from under‐represented countries and ocean regions. As we look ahead, FishMIP aims to continue enhancing our understanding of how marine life and its contributions to people may change over the coming century at both global and regional scales.

Sea surface temperature differences between in situ and GHRSST (L4) records in a socio-ecological critical area of the northeastern Pacific Ocean May 2015 to July 2016

Using satellite sensor data for studying sea surface temperature (SST) provides advantages over in situ information, such as obtaining data from large areas and remote access regions in short periods. However, differences between the SST values recorded in situ and those by satellite sensors are due to the intrinsic nature of both methods and meteorological factors. The present study aims to search the difference between SST values from in situ and satellite sensor data of 1×1 km resolution (type L4) from the Group of High-Resolution Sea Surface Temperature (GHRSST) for an annual cycle in a socio-ecological critical area known as the Gulf of Ulloa (GU). The linear regression, linear spline regression, and logic models showed an overestimated SST by satellites compared to in situ data, particularly at temperatures below 20°C. The overestimation can be attributed to the oceanic-atmospheric variations, which are consequences of upwelling and the time lag between the data record morning by in situ and night by satellite sensors. This finding may be relevant in decision-making for marine resource management and conservation in the GU. The information may help to seek the sustainability of this social-environmental system.

Analysing Sea Surface Temperature and Chlorophyll-a Distribution Along Visakhapatnam Coast Using MODIS Data

Satellite images along with Geographic Information Systems (GIS) are indispensable instruments for the identification, monitoring, and analysis of environmental transformations and management. The primary focus of this study is to investigate the relationship between Sea Surface Temperature (SST) and Chlorophyll-a concentration in the Bay of Bengal along the Visakhapatnam Coast by utilizing MODIS data. The research utilized remote sensing methodologies to accumulate data on SST and Chlorophyll-a concentration from the MODIS Aqua satellite, which provided daily observations for the period of January to December 2022. The investigation has unveiled important findings indicating a strong correlation between SST and Chlorophyll-a concentration, in general, higher SST levels are found to be linked with lower Chlorophyll-a concentrations, and conversely. The majority of months demonstrated notable determination coefficient (r2), except July, August, September, and October, wherein weaker correlations were observed due to increased precipitation levels in these specific months. Specifically, the determination coefficients were as follows: r2 = -0.58, -0.38, -0.35, -0.61, 0.16, -0.25, -0.06, and -0.59, with the exceptions being July (r2 = 0.01), August (r2 = 0.19), September (r2 = 0.33), and October (r2 = 0.24). Additionally, seasonal fluctuations were evident, with increased SST levels and reduced Chlorophyll-a concentrations during the summer season, and decreased SST levels and heightened Chlorophyll-a concentrations during the monsoon period. To effectively conclude, extensive research utilizing MODIS data has revealed significant trends and relationships between SST and Chlorophyll-a concentrations over the Bay of Bengal along the Visakhapatnam Coast. SST has been observed to increase significantly over recent decades, while Chlorophyll-a concentrations peak during the northeast monsoon season and decline during the southwest monsoon. A robust inverse correlation exists between SST and Chlorophyll-a concentrations, indicating that elevated SSTs are associated with decreased Chlorophyll-a levels, with exceptions during periods of heightened precipitation. Seasonal fluctuations further emphasize the dynamic nature of these parameters, with implications for marine ecosystem management and conservation efforts in the face of climate change, overfishing, and pollution. Remote sensing remains a crucial tool for monitoring these variables and understanding the marine ecosystem's dynamics in the Bay of Bengal.

Changing the focus: The need for cross-scale dynamic management in the Southern Ocean and implications for holistic conservation of Antarctic marine living resources

The Convention on the Conservation of Antarctic Marine Living Resources (CCAMLR) establishes the regulatory framework for fisheries management and the establishment of Marine Protected Areas (MPA) in the Southern Ocean. Identifying foraging areas regularly used by penguins provides valuable information for the small-scale management of the krill fishery and the design of MPAs, currently under discussion in CCAMLR. We used geolocators to identify the areas used by Adélie penguins from Ardley Island (South Shetlands Islands) during the non-breeding season and Stable Isotope Analysis (SIA) (δ13 C and δ15 N) on feathers to study the trophic niche. Adélie penguins depended on resources available in CCAMLR subareas 48.1 and 48.5 during the post-breeding and molting stage, the subarea 48.5 during the post-molting stage and subareas 48.1, 48.2 and 48.5 during the pre-breeding stage, critical moments of the species’ annual cycle. The Domain 1, Weddell Sea and SOISS MPA proposal areas were extensively used. SIA results show the use of coastal and off-shore foraging areas in 2022, but principally off-shore areas in 2021. Adélie penguins dependence on resources from different subareas in different times of the year emphasizes the need of incorporating the temporal dimension of resources utilization when designing conservation measures in the Southern Ocean. With an increasing pressure on Adélie penguin colonies in the western Antarctic Peninsula, its long-term protection might depend on both 1) well designed and managed MPAs in the Domain 1 and the Weddell Sea, and 2) small-scale fisheries management that simultaneously consider activities undertaken in different small-scale management units.

Enhancing Underwater Object Detection and Classification Using Advanced Imaging Techniques: A Novel Approach with Diffusion Models

Underwater object detection and classification pose significant challenges due to environmental factors such as water turbidity and variable lighting conditions. This research proposes a novel approach that integrates advanced imaging techniques with diffusion models to address these challenges effectively, aligning with Sustainable Development Goal (SDG) 14: Life Below Water. The methodology leverages the Convolutional Block Attention Module (CBAM), Modified Swin Transformer Block (MSTB), and Diffusion model to enhance the quality of underwater images, thereby improving the accuracy of object detection and classification tasks. This study utilizes the TrashCan dataset, comprising diverse underwater scenes and objects, to validate the proposed method’s efficacy. This study proposes an advanced imaging technique YOLO (you only look once) network (AIT-YOLOv7) for detecting objects in underwater images. This network uses a modified U-Net, which focuses on informative features using a convolutional block channel and spatial attentions for color correction and a modified swin transformer block for resolution enhancement. A novel diffusion model proposed using modified U-Net with ResNet understands the intricate structures in images with underwater objects, which enhances detection capabilities under challenging visual conditions. Thus, AIT-YOLOv7 net precisely detects and classifies different classes of objects present in this dataset. These improvements are crucial for applications in marine ecology research, underwater archeology, and environmental monitoring, where precise identification of marine debris, biological organisms, and submerged artifacts is essential. The proposed framework advances underwater imaging technology and supports the sustainable management of marine resources and conservation efforts. The experimental results demonstrate that state-of-the-art object detection methods, namely SSD, YOLOv3, YOLOv4, and YOLOTrashCan, achieve mean accuracies (mAP@0.5) of 57.19%, 58.12%, 59.78%, and 65.01%, respectively, whereas the proposed AIT-YOLOv7 net reaches a mean accuracy (mAP@0.5) of 81.4% on the TrashCan dataset, showing a 16.39% improvement. Due to this improvement in the accuracy and efficiency of underwater object detection, this research contributes to broader marine science and technology efforts, promoting the better understanding and management of aquatic ecosystems and helping to prevent and reduce the marine pollution, as emphasized in SDG 14.

Using cumulative human impact assessment to support adaptive management of the threatened species’ habitats in the Yangtze River Estuary

The conflict between multiple functions of human use and habitat conservation represents an intractable challenge for environmental management. While numerous studies on marine conservation prioritize cumulative impact assessments (CIA) to tackle this issue, estuaries — despite their immense conservation significance amidst intense human activities — remain overlooked. Taking the Yangtze River Estuary (YRE) as the case study area, it is one of the most intensely human-utilized estuaries globally, yet it serves as a critical habitat and migratory corridor for the endangered Chinese sturgeon (Acipenser sinensis).We employed ecological indicators and quantitative modeling to assess habitat suitability and cumulative anthropogenic impacts on this endangered species in the YRE. The results demonstrated that suitable habitat distribution and human impact varied for juvenile Chinese sturgeon in the YRE. The suitable habitat distribution for juvenile Chinese sturgeon was concentrated in Chongming Dongtan and the North Channel. Ship density, submarine optical cables, and smooth cord grass invasion were the main anthropogenic factors impacting the Chinese sturgeon's migrating habitat in the YRE. Moreover, existing Chinese sturgeon habitats remain at risk, with 36.24 % of potential habitats and 56.60 % of high human impact areas requiring enhanced protection. Adaptive management strategies were proposed, tailored to the spatial and environmental protection needs across the dynamic habitat demands of aquatic species. Our spatially explicit and indicator-based findings provide key scientific support for enlarging protected areas and implementing adaptive management of human activities to balance conservation and sustainable use in this highly utilized ecosystem.

Stakeholder Engagement as a Core Component of Recreational Marine Fisheries Research, Education, and Conservation

Effective modern conservation depends on active stakeholder participation. Although stakeholder engagement is increasing, the extent of this engagement and the successful application of outcomes to science and management varies regionally and among types of fisheries. A collaborative model that emphasizes knowledge coproduction with stakeholders better identifies research needs and conservation threats, and influences research and policy outcomes. Stakeholder integration can be facilitated by nongovernment organizations, such as boundary organizations. Bonefish and Tarpon Trust is a science‐based, conservation organization founded in 1998 by recreational fishers and fishing guides that focuses on marine recreational fisheries in the Caribbean Sea and western North Atlantic Ocean. The Trust engages fishers directly, incorporating their knowledge and perspectives to identify conservation concerns, shape research, contribute to data collection, and disseminate information, and work with resource managers and scientific researchers to address conservation and management needs. This approach is demonstrated in case studies that show integration of recreational fishers in science, assessment of conservation threats, and application of findings to management for the recreational flats fishery in the Caribbean Sea and western North Atlantic Ocean, in the context of broader efforts of stakeholder collaboration toward actionable science to inform management.

The blue economy effects on EUROMED tourism: forecasting approach

This study examines the factors that influence the blue economy in EUROMED, aiming at promoting economic growth in line with the UN Sustainable Development Goals. EUROMED was chosen because all of its nations have fisheries and marine tourism, which are the two key indicators of the blue economy. Blue economy contributes to sustainable development in the fisheries and marine tourism sectors. A commitment to sustainability has sped up national and regional blue economy policy development. The study uses secondary qualitative data and literature review to analyse the synergies and conflicts between EUROMED blue economy strategies and the UN Sustainable Development Goals. The findings suggest that GDP growth, aqua production, open trade, CO2 emissions, and inflation rate influence the blue economy, and that ecotourism that considers education, society, and the environment may generate sustainable fisheries and marine tourism. Only 21 countries gave the ARDL test between 2000 and 2019. This study analyses synergies and conflicts between EUROMED blue economy strategies and UN Sustainable Development Goals. Location-based contextual development of blue economies that suit all players' requirements is essential to maintain sustainability objectives. Ensure resilience against future environmental and political shocks, preserve the ecological underpinning for vibrant blue economies, and create capacity at all levels to promote effective and fair governance. This study tries to make good use of ocean conservation and aquaculture within the context of the blue economy. This is the first EUROMED blue economy study and contributes to the theoretical and methodological development of blue economy research.

On the development of criteria for determining the effectiveness of technical working groups: A case study about information processes in marine conservation and fisheries management in Belize

Use of scientific information in evidence-based decision-making is critically important in addressing coastal and ocean management concerns. In an ecosystem-based management context, ensuring that the “right” information (reliable) is available can be particularly challenging as the information often resides in different organizations with different management mandates. Many governmental and intergovernmental organizations have used a range of approaches, including technical advisory committees and working groups, to facilitate multidisciplinary input into the development of appropriate policies and management practices. This study examined the roles of multiple stakeholders participating in technical working groups that assist in decision-making for marine fisheries management in Belize, a coastal country in Central America. Through interviews with members of three working groups – the Spawning Aggregation Working Group, the Managed Access Working Group, and the National Hicatee Conservation and Monitoring Network – and decision-makers in the Belize Fisheries Department, information production processes and pathways for information uptake into policy were investigated. Major characteristics of communication at the science-policy interface associated with each working group were revealed. Important communication enablers and barriers were identified related to the operation of the working groups, such as membership commitment and resource availability, which influenced knowledge exchange within and outside the groups. Based on the results, a set of requirements for the creation and operation of effective working groups was formulated with regard to requisite inputs, the operational processes, and the types and uses of the information outputs of the groups. These requirements serve as a foundation for development of indicators of the effectiveness of working groups in environmental management contexts that support communication and decision-making at science-policy interfaces.

Distribution of pelagic and demersal fish assemblages by video prospection in the archipelago of Fernando de Noronha

This study presents an approach that complements previously identified trends in the distribution of acoustic biomass of demersal and pelagic fishes in Fernando de Noronha. Using underwater video as the main method of analysis, patterns of relative fish abundance were evaluated as indicators of biomass, richness, and trophic levels of demersal and pelagic assemblages. Thus, depth stratum, Marine Protected Area (MPA) including the National Marine Park and the Sustainable Fishing Zone, and oceanographic/abiotic factors (e.g., winds, currents, and substrate complexity) were considered. The results confirm that complex substrates and shallow areas (0–20 m) are characterised by greater abundance and species richness. However, it is important to note the limitation of video in detecting fish in deeper areas. Wind exposure also positively influences the abundance and diversity of demersal fish, demonstrating the impact of the "island effect" on species distribution. The research also highlights the relevance of the MPA in Fernando de Noronha for both biodiversity conservation and the sustainability of fishing activities. However, the analysis of trophic levels revealed an increased prevalence of higher trophic levels outside the MPA, mainly due to the abundance of the species Melichthys niger. The presence of complex substrates and lower trophic competition may explain this observation. Therefore, the study provides important insights for the planning of MPAs and the need to include the spatial distribution of higher trophic level species for marine conservation.

Triboelectrically active and wettability-swichable magnetic textile for self-powered intelligent marine conservation

Intelligent materials that are built with reversibly switchable wettability between superhydrophilicity-hydrophobicity are crucial for combating environmental challenges such as spill oil cleanup and fuel purification. In this work, inspired by mussel, a robust magnetic textile was prepared by anchoring titanium dioxide and magnetic carbon nanotubes onto textile through Schiff condensation between the amine groups of dopamine and the carboxyl groups of lauric acid. Reversibly switchable wettability was presented on the as-fabricated textile, where superhydrophobic/oleophilic could be achieved at pH 3–7 and hydrophilic/underwater oleophobic were achieved at pH 13. With a maximum saturation magnetization of 17.99 emu/g, it achieves non-contact oil spill recovery through its response to pH and magnetic fields. Interestingly, the asymmetric electric field of M−TENG accelerate the coalescence of water on fabric and oil–water mixture separation. Furthermore, the output performance of M−TENG was dielectrically and magnetically enhanced, with a power density of 0.837 W·m−2. Additionally, a self-powered marine protection system was developed by integrating cathodic protection principles with M−TENG, where the three-dimensionally accommodated triboelectric unit enhanced the efficiency for collecting wave energy, thereby protecting marine vessel components effectively. This work provides guiding strategies for developing self-powered devices for marine conservation and protection based on smart materials and TENG.

Scaling up ocean conservation through recognition of key biodiversity areas in the Southern Ocean from multispecies tracking data.

Biodiversity is critical for maintaining ecosystem function but is threatened by increasing anthropogenic pressures. In the Southern Ocean, a highly biologically productive region containing many endemic species, proactive management is urgently needed to mitigate increasing pressures from fishing, climate change, and tourism. Site-based conservation is one important tool for managing the negative impacts of human activities on ecosystems. The Key Biodiversity Area (KBA) Standard is a standardized framework used to define sites vital for the persistence of global biodiversity based on criteria and quantitative thresholds. We used tracking data from 14 species of Antarctic and subantarctic seabirds and pinnipeds from the publicly available Retrospective Analysis of Antarctic Tracking Data (RAATD) data set to define KBAs for a diverse suite of marine predators. We used track2kba, an R package that supports identification of KBAs from telemetry data through identification of highly used habitat areas and estimates of local abundance within sites. We compared abundance estimates at each site with thresholds for KBA criteria A1, B1, and D1 (related to globally threatened species, individual geographically restricted species, and demographic aggregations, respectively). We identified 30 potential KBAs for 13 species distributed throughout the Southern Ocean that were vital for each individual species, population, and life-history stage for which they were determined. These areas were identified as highly used by these populations based on observational data and complement the ongoing habitat modeling and bioregionalization work that has been used to prioritize conservation areas in this region. Although further work is needed to identify potential KBAs based on additional current and future data sets, we highlight the benefits of utilizing KBAs as part of a holistic approach to marine conservation, given their significant value as a global conservation tool.

Transcriptomic analysis of mRNA and miRNA reveals new insights into the regulatory mechanisms of Anadara granosa responses to heat stress

Temperature fluctuations resulting from climate change and global warming pose significant threats to various species. The blood clam, Anadara granosa, a commercially important marine bivalve, predominantly inhabits intertidal mudflats that are especially susceptible to elevated temperatures. This vulnerability has led to noticeable declines in the survival rates of A. granosa larvae, accompanied by an increase in malformations. Despite these observable trends, there is a lack of comprehensive research on the regulatory mechanisms underlying A. granosa's responses to heat stress. In this study, we examined the survival rates of A. granosa under varying high temperature conditions, selecting 34 °C as heat stress temperature. Enzyme activity assays have shed light on A. granosa's adaptive response to heat stress, revealing its ability to maintain redox balance and transition from aerobic to anaerobic metabolic pathways. Subsequently, mRNA and miRNA transcriptome analyses were conducted, elucidating several key responses of A. granosa to heat stress. These responses include the upregulation of transcription and protein synthesis, downregulation of proteasome activity, and metabolic pattern adjustments. Furthermore, we identified miRNA-mRNA networks implicated in heat stress responses, potentially serving as valuable candidate markers for A. granosa's heat stress response. Notably, we validated the involvement of agr-miR-3199 in A. granosa's heat stress response through its regulation of the target gene Foxj1. These findings not only deepen our understanding of the molecular mechanisms underlying the blood clam's response to heat stress but also offer valuable insights for enhancing heat stress resilience in the blood clam aquaculture industry. Moreover, they contribute to improved cultivation strategies for molluscs in the face of global warming and have significant implications for the conservation of marine resources and the preservation of ecological balance.

Tourists’ behavioural intention to participate in marine citizen science: a South African case study

ABSTRACT The increasing demand for coastal and marine tourism and the negative impact of its exploitation call for strategies to promote sustainable forms of marine tourism. Citizen science (CS) as part of the marine tourism experience could support sustainable tourism by providing opportunities for people to learn about the natural environment and take actions that can influence conservation policy and encourage pro-environmental behaviours. The present study assessed marine tourists’ disposition towards marine conservation and their intention to participate in kelp CS in South Africa, using a modified version of the Theory of Planned Behaviour. A total of 250 people participated in a questionnaire survey from 10 August to 24 September 2021, in Simon’s Town, Cape Town. Although the tourists possessed moderate knowledge of kelp forests and a favourable disposition towards the environment, behavioural intention to participate in kelp monitoring/conservation as part of tourism was relatively low. Perceived behavioural control was the only factor influencing behavioural intention. These results offer insight into the drivers and barriers to participation in CS by tourists. There are opportunities for marine tourism businesses and organisations to package forms of CS-based tourism that can be educative and provide opportunities to actively participate in science for marine conservation.

Financial Commitment to a Greener Future: Investigating Environmental Protection Spending and Its Impact on Sustainable Development Goals

This research examines the role of environmental protection expenditure (EPE) in advancing the Sustainable Development Goals (SDGs) within seven Asian countries: China, Indonesia, Israel, South Korea, Malaysia, the Philippines, and Thailand. Focusing on SDG 6 (Clean Water and Sanitation), SDG 11 (Sustainable Cities and Communities), SDG 12 (Responsible Consumption and Production), SDG 14 (Life Below Water), and SDG 15 (Life on Land), the research assesses the impact of financial commitments on sustainable development outcomes. Using panel data analysis, the study evaluates the relationship between EPE and the selected SDGs while controlling for economic growth, foreign direct investment (FDI), income inequality, and trade as a percentage of GDP. Results show that increased environmental spending significantly improves clean water access, urban sustainability, responsible consumption, marine conservation, and terrestrial biodiversity. Countries with robust environmental protection frameworks and higher investments in green technologies demonstrate better SDG performance. South Korea's Green New Deal and China's renewable energy investments serve as successful models of integrating economic growth with environmental sustainability. Conversely, Indonesia and the Philippines face challenges in enforcing environmental regulations, underscoring the need for stronger governance. The study highlights the importance of strategic financial commitments to environmental protection in driving sustainable development. It provides insights for policymakers, businesses, and international organizations aiming to align economic activities with sustainability goals. Emphasizing effective governance, innovative financing, and public-private partnerships, the research contributes to the discourse on achieving a greener future for Asia