The problem at Breem Island is a product of unfortunate geography. More than 95 percent of the island’s nesting activity occurs along a six-kilometer stretch of coastline on its south and west sides, and while most of the terrain there is sandy and flat, three sections of low rocky sea cliffs sit immediately adjacent to high-density nesting beaches. Female green turtles, hauling themselves ashore at night to lay their clutches, sometimes stray into the areas above these cliffs. On their return journey, they fall over the edge. The consequences are often fatal: turtles have been found dead after falls, or stranded on their backs, unable to right themselves under the weight of their own shells. Between 2018 and 2023, researchers documented nine known mortalities from these cliff falls, a toll that may sound modest until it is placed in the context of the population it affects.

That context is what makes the numbers genuinely alarming. Using recent estimates of nesting activity, and applying standard demographic assumptions—a clutch frequency of 5.9 nests per female per breeding season and an interval of roughly three years between breeding seasons—the research team estimates that only around 135 green sea turtles nest on Breem Island. An average observed mortality rate of 1.5 turtles per year therefore represents approximately one percent of the entire female breeding population dying from cliff falls annually. For a long-lived, slow-reproducing species in which adult survival is the single most important demographic parameter, the sustained removal of even this level of mortality could meaningfully influence population trajectory. Sea turtle populations are shaped by many factors, but every adult female lost represents decades of accumulated reproductive potential, and conservation biologists have long emphasized that protecting adults yields the greatest returns for species of this kind.

The response, launched in 2024 as the Breem Island Cliff Barrier Project, drew inspiration from an unlikely but proven source: the turtle protection fences deployed on Raine Island in Australia, where similar hazard-mitigation strategies have been used to safeguard nesting turtles. The design brief for Breem was demanding. The team wanted an approach requiring limited maintenance, with a natural aesthetic that would not mar the island’s landscape, and crucially one that could be installed without heavy machinery in an ecologically sensitive location. The island also supports significant seabird colonies and other wildlife, meaning any intervention had to minimize noise, disturbance, and transport requirements. The solution they settled on was elegantly low-tech: gabion boxes, lightweight wire structures wrapped in sand-colored fabric, which could be transported to the island empty and then filled in situ with sand by hand.

The technical specifications reveal the care embedded in the design. Each gabion box has a footprint of one meter by one meter and a height of 80 centimeters. When filled with roughly 50 centimeters of sand, each box weighs approximately 800 kilograms—substantial enough to deter a determined adult green turtle, which can weigh well over 100 kilograms itself, yet simple enough to be positioned manually. Critically, the boxes were installed with 30-centimeter gaps between them. These gaps are deliberate: they allow smaller fauna, including seabirds, reptiles, and invertebrates, and potentially even sea turtle hatchlings, to move freely through the barrier line, while still blocking the passage of adult turtles. This attention to bycatch of the non-target kind—ensuring the barrier solves one problem without creating another—reflects a mature conservation engineering philosophy that considers the whole ecosystem rather than a single species.

The geometry of the barriers was equally considered. Rather than running a straight line across the beach, the team deployed two 200-meter-long curved barriers, positioned at the northern and southern edges of one of the main cliff areas surrounded by high-density nesting beaches. The curvature is functional, not decorative: it allows controlled redirection of turtles away from the dangerous area above the cliffs and back toward beaches from which they can safely return to the ocean. Crucially, the alignment was designed so that no main nesting area would be impeded. A turtle encountering the barrier is gently channeled along its curve until it reaches safe ground, rather than being trapped or forced to retrace a long and exhausting crawl. For an animal that may expend enormous energy during the nesting process, this matters.

The results from the first monitored season exceeded expectations. During the 2024 nesting season, which runs from March through November, field assessments recorded 23 successful redirections of green turtles—14 at the southern barrier and 9 at the northern barrier—identified through direct observation or, more commonly, through tracks showing turtles interacting with and being diverted by the structures. Even more telling were the negative results: no turtle tracks were observed in the hazardous area above the managed cliff zone, indicating that the barriers achieved complete effectiveness in preventing access, and no turtle mortalities were recorded within the protected zone across the two nesting seasons since installation. For an intervention costing relatively little and requiring no ongoing active management, the first-year return on investment, measured in turtle lives, is difficult to overstate.

The significance of the Breem barrier system extends well beyond a single island. It represents the first cliff-hazard mitigation project for sea turtles anywhere in the Red Sea, and it offers a template for other rookeries in Saudi Arabia and the wider region where natural topography or anthropogenic structures create hazardous dead-ends for nesting females. The most obvious candidate is Ras Baridi, the region’s most important green turtle nesting site, where sea cliffs have been documented contributing to strandings and falls of nesting females, with several mortalities recorded from this cause both recently and historically. No barrier system has yet been installed there, but the Breem pilot demonstrates that even small, strategically placed barriers can drastically reduce mortality risk. The approach could also prove relevant far beyond the Red Sea, wherever cliffs, seawalls, or other obstacles adjoin turtle nesting beaches—a hazard that researchers have flagged as an emerging concern in the face of sea-level rise and coastal development.

The research team is candid about the limits of the current evidence. A full assessment of the barriers’ impacts on sea turtle populations, on other fauna, and potentially on beach dynamics themselves will only become evident over longer timeframes. Coastal armoring structures are well documented to alter sand transport and beach morphology in some contexts, and introducing any hard structure onto a dynamic coastline warrants continued monitoring. Encouragingly, the gabion design’s permeability and natural appearance were chosen specifically to minimize such risks, but the authors acknowledge that unintended consequences for other species or for sediment movement cannot be ruled out without longer observation. Given the promising first-year results, the team intends to expand protection to the other two Breem cliff areas where mortalities have been recorded, extending the coverage of what has so far proven a remarkably effective solution.

What makes this story resonate beyond the technical details is its demonstration that conservation does not always require heroic, expensive, or technologically sophisticated interventions. Two hundred meters of sand-filled wire boxes, positioned with ecological insight and geometric care, appear to have closed a lethal gap in the life cycle of an isolated turtle population. In a world where marine conservation often grapples with intractable problems—bycatch in industrial fisheries, warming oceans, plastic pollution—the Breem Island project is a reminder that sometimes the right answer is local, specific, and refreshingly simple. For the roughly 135 female green turtles that return to Breem’s beaches year after year, the cliffs that once claimed one of their number annually now stand behind a humble line of sand-colored barriers, and the path from nest to sea is safe once more.

Subject of Research: Cliff-hazard mitigation barriers protecting nesting green sea turtles on Breem Island, Saudi Arabia

Article Title: Innovative barriers reduce risk of injury and mortality for nesting green sea turtles on Breem Island, Saudi Arabia

Article References: Jabby, K., Williams, I. D., Hardenstine, R. S., Barrios-Garrido, H., Al-Ansari, A., & Al-Attas, O. (2026). Innovative barriers reduce risk of injury and mortality for nesting green sea turtles on Breem Island, Saudi Arabia. Discover Oceans, 3(1), Article 14. https://doi.org/10.1007/s44289-026-00130-8

Image Credits: AI Generated

DOI: 10.1007/s44289-026-00130-8

Keywords: green sea turtle, Chelonia mydas, Breem Island, Red Sea, nesting beaches, conservation engineering, gabion barriers, hazard mitigation, Saudi Arabia, sea turtle mortality, hawksbill turtle, coastal management

The Western Ghats are naturally susceptible to rainfall-triggered landslides because several risk factors overlap. The region has steep, deeply dissected terrain, weathered basaltic rocks and soil-like regolith that can lose strength when saturated. Miraswadi receives approximately 1,733 millimetres of rain annually, much of it during the southwest monsoon. During prolonged or unusually intense storms, water infiltrates the slope, raises groundwater levels and increases pore-water pressure between grains. That pressure reduces the friction and effective stress holding the material together, lowering its shear strength. Surface runoff can then concentrate in channels, erode exposed soil and mobilize loose debris. The July 2021 event occurred during an extreme rainfall episode that triggered thousands of landslides across Maharashtra’s Western Ghats. The local landscape also includes agricultural terraces, settlements, drainage modifications and other human changes that can redirect runoff or alter infiltration. The researchers did not identify these activities as the primary cause of the Miraswadi failure, but they concluded that such modifications may influence local susceptibility when combined with steep slopes, weathered materials and exceptional rainfall. Seismic activity in the nearby Koyna–Varna zone may contribute to long-term fracturing, although rainfall remains the principal trigger in this setting.

To reconstruct the terrain, the team flew a DJI Phantom 4 Pro equipped with a 20-megapixel, one-inch sensor camera at roughly 200 metres above ground level. The mission collected 283 georeferenced high-resolution images, with about 80 per cent forward overlap and 30 per cent side overlap between photographs. Overlapping images allow photogrammetry software to identify the same surface points from multiple viewpoints and calculate their three-dimensional positions. The resulting dataset produced an orthomosaic, a digital elevation model, contour information and a dense point cloud containing approximately 31 million points. Its mean ground sampling distance was 5.52 centimetres, meaning that individual image-derived cells represented only a few centimetres of ground surface. Image calibration was reported as 100 per cent successful, with a mean reprojection error of approximately 0.143 pixels. Handheld GPS measurements supplied ground control points to improve positional consistency and elevation calibration. The researchers emphasize that the products were intended primarily for relative geomorphological analysis rather than survey-grade geodetic measurement. Recreational-grade GPS accuracy and the absence of a pre-failure drone survey limit the precision with which surface movement and lost volume can be interpreted. Even so, the model provided sufficient detail to identify cracks, scarps, slumps and debris pathways across a hazardous slope.

The mapped landslide began approximately 125 metres northeast of Miraswadi on 23 July 2021. Its visible failure area covered about 1.34 hectares, while the associated debris spread extended across roughly 2.95 hectares. From crown to toe, the movement reached approximately 255 metres, with widths ranging from 112 to 162 metres. The researchers estimated that between 42,050 and 46,076 cubic metres of material had been displaced, presenting the result as a range because the pre-failure surface had to be reconstructed from surrounding undisturbed terrain. Morphological evidence suggests that the event began as a debris slide, in which weathered soil and rock moved downslope as a relatively coherent mass. Once the material entered a pre-existing second-order drainage channel, it became more confined and flow-like, evolving into a channelized debris movement. The terrain model divided the slope into an initiation zone between approximately 747 and 690 metres above mean sea level, a transport zone from about 690 to 665 metres, and a deposition zone from roughly 665 to 642 metres. The upper initiation area included steep slopes exceeding 45 degrees and locally surpassing 60 degrees. Lower gradients allowed transported soil, rock fragments and uprooted vegetation to accumulate across the broader depositional area.

The most consequential discovery was not confined to the old landslide scar. Immediately upslope of the habitation, researchers identified a deformation area containing three to four major tension cracks between approximately 70 and 90 metres long and up to half a metre wide. Several cracks coincided with localized ground settlement and slumping, with vertical displacement reaching about 0.5 metres. Their roughly slope-parallel alignment and position on a hillside directly above homes indicate that the ground has continued to adjust after the 2021 failure. A second area, above the original crown, contained two or three smaller cracks approximately 10 to 15 metres long and 0.1 metres wide. These may represent instability propagating upslope, although the study does not establish a precise rate or direction of movement. Field inspections confirmed active slumping, regolith displacement, minor scarps, surface undulations and additional cracks within the weathered soil. Tilting vegetation supplied another visible sign that the ground beneath roots may be shifting. The researchers carefully distinguish these observations from pre-failure warning signs: because the survey was conducted after the landslide, the features document ongoing post-failure deformation rather than proven precursors. Their location nevertheless matters for risk assessment. A hazard map drawn only around the original scar could overlook unstable ground that threatens the settlement from above.

The team also compared land use in satellite imagery from 2011 and 2022 to examine how the surrounding landscape had changed. Settlement area increased from approximately 8,014 square metres to 15,403 square metres, an expansion of about 92 per cent. Over the same period, terrace farming declined from about 454,746 to 409,114 square metres, while barren or fallow land decreased from approximately 115,372 to 105,709 square metres. Forest cover increased from about 170,695 to 218,601 square metres, suggesting that vegetation expanded overall even as localized changes occurred near the hamlet. The researchers observed the growth of residential structures, modifications to agricultural terraces and exposed soil surfaces, particularly on slopes northeast of the settlement where active instability was detected. These changes can affect how water travels across a hillside. A building platform, track, terrace or altered drainage line may concentrate runoff in one place, increase infiltration in another or remove material that previously protected the soil. The study does not claim that settlement growth caused the landslide. Instead, it presents human landscape modification as a factor that can interact with natural controls and increase exposure. In a small rural community, even modest expansion can place more homes, fields and livestock facilities beneath an unstable slope.

The findings have immediate implications for monitoring and preparedness, but the authors caution against treating their preliminary recommendations as final engineering plans. The deformation zone above the hamlet should receive continued attention, particularly during and after periods of intense rainfall. Repeated drone surveys could compare successive digital elevation models and orthomosaics to detect crack widening, new scarps, changing vegetation tilt or accelerated ground displacement. Field observations remain essential because dense vegetation, shadows and image geometry can obscure features in aerial data. Surface drainage management may reduce water concentration and infiltration in unstable areas, while vegetation-based measures could help control erosion and reinforce shallow soil. Retaining structures might be appropriate in selected locations, but their design would require detailed geotechnical, hydrogeological and engineering investigations. The study also identifies a potential temporary refuge area chosen using topography, distance from unstable slopes, access and proximity to agricultural and livestock resources. That site is not validated as a permanent rehabilitation location; no dedicated land-suitability, geotechnical or hydrogeological assessment was performed. Because many residents depend on farming and livestock and maintain strong ties to their homes, temporary evacuation during extreme rainfall may be more realistic than immediate permanent relocation. Warning signs such as widening cracks, renewed slumping or rapidly increasing deformation could help guide such decisions.

Miraswadi illustrates both the power and the limits of high-resolution remote sensing in landslide science. Regional susceptibility maps can identify broad patterns of danger, but they cannot always show whether a particular crack runs behind a house, whether a drainage channel links a scar to a settlement or whether deformation extends beyond a mapped failure. A drone can be deployed quickly over a relatively small area and generate detailed terrain information without exposing surveyors to the most hazardous ground. Yet a single post-event flight cannot reveal how fast the slope is moving, what is happening underground or whether another failure will occur. The study therefore calls for repeated UAV acquisitions combined with rainfall records, hydrological monitoring, geotechnical testing, geophysical surveys and analysis of rainfall thresholds. Such integration could turn a detailed snapshot into an early-warning system. For communities across the Western Ghats and other tropical mountain regions, the approach offers a practical way to document landslides after extreme storms and identify danger zones that remain active after the debris has stopped moving. In Miraswadi, the central message is straightforward: the end of a landslide’s visible movement does not necessarily mean the slope has stabilized. High-resolution mapping can make that hidden continuation visible before the next monsoon tests the hillside again.

Subject of Research: UAV mapping of landslide morphology and post-failure slope instability in Miraswadi, India

Article Title: UAV based assessment of landslide morphology and slope instability in Miraswadi, Western Ghats, India

Article References: Shirke, A. V., Khandge, A., Umrikar, B. N., & Asim, M. (2026). UAV based assessment of landslide morphology and slope instability in Miraswadi, Western Ghats, India. Discover Geoscience, 4(1), Article 334. https://doi.org/10.1007/s44288-026-00707-y

Image Credits: AI Generated

DOI: 10.1007/s44288-026-00707-y

Keywords: landslides, UAV mapping, Western Ghats, slope instability, debris flows, remote sensing, monsoon rainfall, hazard mitigation, based, assessment, landslide, morphology