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Two decades of citizen science reveal spatial biases and conservation gaps for elasmobranchs along the Mozambican coast

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This study evaluates two decades of citizen science contributions to elasmobranch records along the Mozambican coast, highlighting the role of platforms like iNaturalist in addressing knowledge gaps in the Western Indian Ocean. By analyzing 408 records from 2007 to 2025, we documented 44 species, revealing significant increases in data collection, particularly since 2019. While a high percentage of species are classified as threatened, spatial biases in data reflect inconsistencies in sampling across regions.
Two decades of citizen science reveal spatial biases and conservation gaps for elasmobranchs along the Mozambican coast

In recent years, citizen science has emerged as a pivotal tool in the ongoing quest to understand and conserve biodiversity, especially in regions that have historically been under-sampled, such as the Western Indian Ocean (WIO). The recent study on elasmobranchs along the Mozambican coast exemplifies this trend, demonstrating how citizen-generated data can illuminate critical conservation gaps and support effective policy revisions. By utilizing the iNaturalist platform, researchers gathered insights from 408 elasmobranch records spanning nearly two decades, revealing not only the species composition but also spatio-temporal patterns that underscore the need for targeted conservation efforts. This study contributes significantly to our understanding of marine biodiversity and aligns with other findings, like those in Islands of biodiversity created by remote Arctic kelp forests of the central Kitikmeot Sea, which highlight the importance of diverse ecosystems in sustaining global biodiversity.

One of the standout findings from this research is the alarming conservation status of the recorded elasmobranch species, with 71% classified as threatened according to the IUCN Red List. This statistic is not merely a number; it serves as a clarion call for action in addressing the dire state of marine life. The study also notes spatial biases in data collection, where southern Mozambique is heavily represented, leaving central and northern regions under-sampled. Such imbalances can lead to incomplete conservation strategies, emphasizing the need for a more integrated approach in data gathering and policy enforcement. The findings resonate with the insights from the Giant squid discovery uncovers a hidden deep-sea world off Australia, which further illustrates how expanding our understanding of marine ecosystems is crucial for effective management.

The implications of this study extend beyond mere documentation; they call for a reevaluation of existing Marine Protected Areas (MPAs) in Mozambique. The research reveals that only 17% of elasmobranch records overlapped with designated MPAs, indicating a significant misalignment between conservation priorities and protective measures. This gap highlights the necessity for evidence-based management practices that incorporate citizen science data to create a more effective and responsive conservation strategy. Such an approach not only enriches the scientific community but also fosters a sense of shared responsibility among local stakeholders, enhancing community engagement in conservation efforts.

Looking ahead, the role of citizen science in marine conservation is poised to grow even more critical. As climate change and other anthropogenic pressures continue to impact marine ecosystems, the need for real-time, validated data will be paramount. This study serves as a reminder that informed conservation efforts depend on comprehensive data collection and collaboration. The question remains: how can we leverage citizen science more effectively to fill these knowledge gaps and ensure that our oceans are protected for future generations? Engaging diverse communities in this endeavor may hold the key to unlocking innovative solutions for marine conservation, fostering a global movement toward ocean stewardship that is both impactful and sustainable.

Citizen science platforms play a crucial role in filling knowledge gaps and documenting global biodiversity trends, especially in under-sampled regions such as the Western Indian Ocean (WIO). Here, we assessed the contribution of citizen science data to elasmobranch records in Mozambique, examining species composition, spatio-temporal patterns, and conservation status. This study helps inform policy revision, targeted monitoring, and national reporting in Mozambique using existing citizen science datasets. Using 408 elasmobranch records from the iNaturalist platform collected between 2007 and 2025, we documented 44 species and noted that species records increased significantly over the last decade, particularly since 2019. Rays dominated the dataset, particularly the Dasyatiids and Mobuliids, whereas sharks were primarily represented by Carcharhiniids and Rhincodontiids. A high proportion of recorded species (71%) were classified as threatened on the IUCN Red List, with 10% listed as Critically endangered, 51% as Endangered, 38% as Vulnerable. Most records (82%) were classified as research grade, supporting the reliability of iNaturalist data for scientific applications. Overall, the iNaturalist dataset accounted for 32% of the 137 elasmobranch species previously reported from past studies in Mozambique. Observations were spatially biased toward southern areas of Mozambique, especially Inhambane and Maputo provinces, reflecting known inconsistencies in sampling effort in central and northern regions. Record density overlapped strongly with Important Shark and Ray Areas (ISRA), which accounted for over 90% of all records, whereas only 17% of records overlapped with Marine Protected Areas (MPAs), revealing a clear mismatch between priority areas and formal protection. Our findings demonstrate that citizen science provides a valuable and cost-effective complementary tool to traditional surveys and can meaningfully inform conservation planning, identify protection gaps, and support evidence-based management in data-limited contexts such as Mozambique and the WIO region.

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#citizen science#marine science#ocean data#data visualization#marine biodiversity#research datasets#climate monitoring#in-situ monitoring#interactive ocean maps#research collaboration#ocean circulation#marine life databases#elasmobranchs#Mozambique#IUCN Red List#Important Shark and Ray Areas#biodiversity trends#species composition#Marine Protected Areas#marine conservation