The Spermonde Archipelago, which stretches off the coast of South Sulawesi near Makassar, contains roughly 120 coral islands and sits within one of the planet’s great centers of marine biodiversity. The reefs of this region are part of the Coral Triangle, an area renowned for its extraordinary species richness. Yet the archipelago’s reefs are under mounting stress from pollution, destructive fishing practices, coastal development, and a range of other human activities. The scale of the decline is sobering: live coral cover in the region has fallen from 45 percent to 28 percent over the past two decades. That downward trajectory underscores why effective, repeatable monitoring is not a luxury but a necessity. Without accurate information about what is happening on the reef, managers cannot target interventions, evaluate their success, or adapt to changing conditions. The new study set out to address a deceptively simple question that had never before been systematically answered for this region: which monitoring approach works best under the dynamic and often challenging conditions of the Spermonde Archipelago?

To answer that question, the researchers evaluated three widely used methods for assessing reef condition. The first, Line Intercept Transects, or LIT, is a classic technique in which divers record the type of substrate found at intervals along a measured line laid across the reef. It yields precise, quantitative data about what covers the seafloor, but it demands trained divers, careful underwater work, and specialized equipment. The second method, Underwater Photo Transects, or UPT, involves photographing the seafloor along transect lines and then estimating substrate coverage from those images, either by manual annotation or software analysis. UPT reduces the time divers spend underwater and creates a permanent visual record, but it still depends on diving expertise and clear water for usable images. The third approach, drone surveys, captures broad aerial views of the reef from above the water surface. Drones can cover large areas quickly and safely, without the need for experienced divers, but their ability to distinguish fine substrate categories is limited, particularly when the water itself is murky.

The study sites were chosen to represent a gradient of water-quality conditions across the archipelago. Lae-Lae Island, located close to the mainland and the city of Makassar, experiences highly turbid water clouded by sediment and influenced by urban runoff. Kodingareng Lompo Island, farther offshore, has moderate water clarity. Lanyukang Island, the most distant of the three, enjoys relatively clear water. By applying the same monitoring toolkit across these contrasting environments, the team could assess not only how the reefs differed but also how the reliability of each method changed with water conditions. The results were instructive. Both LIT and UPT showed better reef conditions in the clearer waters of Kodingareng Lompo and Lanyukang, where live hard coral remained relatively abundant. In contrast, the turbid waters surrounding Lae-Lae revealed a reef dominated by rock, coral rubble, and dead coral covered with algae, a signature of degradation. Drone mapping delivered a valuable broader perspective of reef structure, but in the highly turbid waters of Lae-Lae it could not reliably distinguish between different substrate types, a limitation that matters when the goal is to quantify coral cover.

These findings point to a practical conclusion: the three methods are complementary rather than interchangeable. LIT and UPT provide the detailed, substrate-level information needed to track coral health and mortality, but they require trained divers and specialized gear, which raises costs and limits how often surveys can be repeated. Drone mapping, by contrast, can survey large reef areas efficiently and without diving expertise, making it attractive for routine, wide-scale surveillance, but it sacrifices the fine detail that underwater methods capture. For a country with thousands of islands and limited monitoring resources, the implication is that a tiered strategy, using drones for broad coverage and underwater surveys for detailed assessment at key sites, offers the most realistic path to sustained reef monitoring. Such a strategy aligns directly with United Nations Sustainable Development Goal 14, Life Below Water, which calls for the conservation and sustainable use of marine ecosystems, and it supports SDG 13, Climate Action, by strengthening the capacity to detect and respond to climate-driven pressures on reefs.

What elevates the study beyond a technical comparison of methods is its second pillar: the systematic incorporation of community perspectives. The researchers conducted focus group discussions with 33 residents across the three islands, exploring how local people perceive reef degradation and what conservation measures they believe would work in their own contexts. The results were revealing in both encouraging and sobering ways. On the encouraging side, communities were clearly aware that their reefs are in decline. More than half of the respondents considered reef conditions to be either deteriorating or severely deteriorating, a perception that matched the ecological data. On the sobering side, their understanding of the causes of decline was more limited. Only 26.5 percent of participants were able to correctly identify different stages of coral health when shown images, suggesting a gap between lived awareness of decline and the ecological literacy needed to interpret it precisely.

Despite that gap, the discussions demonstrated that residents recognize the specific environmental problems affecting their islands and can propose solutions tailored to local conditions. On Lae-Lae, where turbid and waste-affected water was the dominant concern, participants emphasized waste management as the priority. On Kodingareng Lompo, residents proposed combining patrols and enforcement with coral transplantation, an approach that pairs protection with active restoration. On Lanyukang, where water clarity remains relatively high and the reef is in better condition, participants placed greater emphasis on controlling destructive fishing, aiming to prevent the degradation that has already occurred elsewhere. This pattern is significant for conservation planners: communities are not blank slates waiting for external prescriptions. They hold contextual knowledge about their environment and can articulate locally appropriate responses, but they need support to translate that knowledge into effective action.

The study also quantified a critical barrier to community-driven conservation: readiness. Only 29.4 percent of respondents reported a high level of readiness to participate in reef conservation and monitoring, and half said they had never taken part in any conservation activity organized by outside groups. These numbers reveal an unmet demand for engagement infrastructure. The researchers argue that the way to close this gap is through simple monitoring tools that non-specialists can use, practical training that builds ecological and technical skills, and financial support that makes participation sustainable for people who depend on the sea for their livelihoods. They further recommend embedding community-based efforts within integrated coastal zone management, marine protection, and climate adaptation programs at the provincial and national levels, so that local action is reinforced rather than isolated. As Professor Jompa explained, the team aimed to provide an evidence-based foundation for conservation policies while enhancing the adaptive capacity of local communities and stakeholders in responding to evolving ecological challenges in the Spermonde Archipelago.

The broader lesson from the Spermonde Archipelago extends well beyond Indonesia. Around the world, coral reef conservation has often been designed top-down, with scientists and governments setting priorities and communities cast as implementers or bystanders. This study demonstrates a different model, one in which scientific monitoring defines the ecological baseline and the most reliable tools for tracking change, while community knowledge identifies local pressures, shapes acceptable solutions, and provides the sustained presence that no external project can match. Empowering communities with the knowledge, tools, and resources to participate in monitoring and management could produce conservation strategies better suited to the diverse conditions of Indonesia’s reef ecosystems, which vary enormously in water quality, exposure, and human use. As Professor Jompa noted, successful mitigation requires partnerships involving communities, government support, NGO training, and academic assistance. With live coral cover already down to 28 percent and climate pressures intensifying, the window for such partnerships is narrowing, but the Spermonde study shows that the ingredients for effective, locally grounded reef stewardship are already present, waiting to be combined.

Subject of Research: Comparative coral reef monitoring methods and community-based conservation in Indonesia's Spermonde Archipelago

Article Title: How combining science and community knowledge could shape coral reef conservation in Indonesia

Article References: How combining science and community knowledge could shape coral reef conservation in Indonesia. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: coral reefs, Indonesia, Spermonde Archipelago, marine conservation, community-based monitoring, Line Intercept Transects, Underwater Photo Transects, drone surveys, water turbidity, SDG 14, climate resilience, Hasanuddin University

The research, led by Navya Vikraman Nair of the University of Waterloo together with Jeremy Pittman and Prateep Kumar Nayak, examines how local ecological knowledge, often abbreviated as LEK, can inform participatory biodiversity monitoring in a climate-vulnerable blue carbon ecosystem. Blue carbon ecosystems, which include seagrasses, salt marshes, and mangroves, are among the planet’s most effective natural carbon sinks, but they are also among the most rapidly disappearing. Global assessments have documented accelerating losses of seagrass meadows worldwide and a rising pace of human impact on the ocean, making robust monitoring urgently important. In many data-limited regions, however, the ecological baselines needed to detect change simply do not exist, and that is precisely the gap the researchers set out to explore.

To gather evidence, the team combined structured surveys involving 47 participants with semi-structured interviews and participatory ranking exercises involving 28 fishers and other lagoon-dependent stakeholders. This dual approach allowed the researchers not only to document what people were observing in the lagoon but also to understand which observations communities themselves considered most important to monitor. The methodological design reflects a growing recognition in the environmental social sciences that monitoring is not merely a technical exercise but a social process, shaped by whose knowledge counts, whose priorities are heard, and who benefits from the resulting data.

The findings are striking in their breadth. Participants reported changes spanning six ecological and environmental domains: biodiversity, the condition of blue carbon ecosystems, water quality, ecosystem functions, climate and hydrological change, and anthropogenic and governance pressures. In other words, the fishers and other residents of Chilika were not simply reporting on fish catches. Their observations extended to the health of seagrass beds, the salinity and clarity of the water, the timing of seasonal floods, the behavior of migratory species, and the effects of management decisions on the lagoon’s ecology. This multidomain richness suggests that local knowledge can capture dimensions of ecosystem change that conventional monitoring programs, often constrained by budget and personnel, routinely miss.

From this empirical material the researchers developed what they call the LEK Ecological Indicator Wheel, a conceptual framework for organizing LEK-derived observations and potential monitoring variables. The framework arranges participant-reported observations across the six domains, providing a structured way to translate lived experience into candidate indicators for future monitoring programs. Crucially, the authors are careful about what the wheel is and is not. It is not a validated ecological index, and the observations it organizes are candidates for future monitoring and ecological testing rather than established measurements. This distinction matters, because the scientific credibility of community-derived indicators depends on rigorous validation against independent ecological data.

The study also confronts an important limitation with unusual candor. Although the instrument addressed multiple taxonomic groups, the prioritized observations turned out to be predominantly fisheries oriented. Fishers, naturally enough, notice what affects their livelihoods: the abundance of fish, prawns, and crabs, the state of the habitats that support them, and the water conditions that determine productivity. This orientation limits the extent to which the findings can support inference about lagoon-wide biodiversity, since birds, benthic invertebrates, and other components of the ecosystem receive less attention. The authors acknowledge this constraint explicitly, and it highlights a broader challenge for community-based monitoring: the knowledge a community holds reflects the relationships that community has with its environment, and those relationships are often selective.

Why does this matter beyond Chilika? The answer lies in the global context of biodiversity governance. The Kunming-Montreal Global Biodiversity Framework commits nations to halting and reversing biodiversity loss, and meeting those commitments will require monitoring at scales and in places where professional scientific capacity is thin. Multicountry assessments have shown that local communities can monitor tropical resources with accuracy comparable to professional scientists, and recent work argues for involving citizens directly in tracking progress toward global biodiversity targets. In this light, the Chilika study offers a template for how LEK might be systematically harvested, organized, and tested in blue carbon ecosystems around the world, from Southeast Asian seagrass meadows to West African mangrove deltas.

The technical logic of the approach deserves attention. Structured biodiversity monitoring, as the monitoring literature emphasizes, requires clear objectives, repeatable methods, and indicators that respond predictably to ecological change. LEK-derived observations can enter this machinery at the indicator-selection stage, where they can suggest variables that scientists might not have thought to measure, flag changes that occurred before formal monitoring began, and identify spatial and temporal patterns worth investigating. Participatory ranking exercises add a second layer of value by revealing community monitoring priorities, which can align research agendas with local needs and increase the legitimacy and durability of monitoring programs. When communities help choose what is measured, they are more likely to sustain the measurement over time.

There are also deeper epistemological stakes. Scholars of traditional ecological knowledge have long argued that ignoring fishers’ knowledge means missing the boat, both figuratively and literally, because resource users accumulate observations across seasons and decades that no research program could replicate. Frameworks such as the multiple evidence base approach call for connecting diverse knowledge systems on equal footing rather than treating local knowledge as raw material to be extracted and validated by science. The Chilika study sits squarely within this tradition, but it pushes further by attempting to structure LEK into a form that can interface with formal monitoring design, a step that many earlier studies stopped short of taking.

The path forward, the authors argue, requires two things: ecological validation and community co-design. Validation means testing LEK-derived indicators against independent ecological measurements to establish their reliability and sensitivity. Co-design means involving fishers and other stakeholders in every stage of developing monitoring programs, from selecting indicators to interpreting results to shaping management responses. If both conditions are met, LEK-derived observations could complement conventional monitoring, strengthen participatory assessment, and support adaptive management in climate-vulnerable blue carbon ecosystems. For Chilika Lagoon, whose social-ecological history includes dramatic hydrological interventions and contested governance, that prospect is more than academic. For coastal communities worldwide watching their seagrasses thin and their catches shift, the study offers a hopeful message: the people who live closest to change may hold some of the most valuable data about it, provided science learns to listen systematically and communities remain partners rather than subjects.

Subject of Research: Local ecological knowledge for participatory biodiversity monitoring in the blue carbon ecosystems of Chilika Lagoon, India

Article Title: Can local ecological knowledge inform biodiversity monitoring in climate-vulnerable blue carbon ecosystems?

Article References: Can local ecological knowledge inform biodiversity monitoring in climate-vulnerable blue carbon ecosystems?. (n.d.). https://doi.org/10.1007/s10113-026-02699-4

Image Credits: AI Generated

DOI: 10.1007/s10113-026-02699-4

Keywords: local ecological knowledge, biodiversity monitoring, blue carbon ecosystems, Chilika Lagoon, seagrass, small-scale fisheries, community-based monitoring, climate change, participatory research, adaptive management, water quality, Regional Environmental Change