The formal description, published in the open-access journal PhytoKeys, rests on a substantial evidentiary base. The research team examined 56 herbarium specimens representing 41 unique collections of the unnamed taxon, held at herbaria in Nairobi, Kew, Missouri, Wuhan and Wageningen. The holotype, the single specimen that anchors the name, was collected in June 1957 by S. Rawlins at Witu in Kenya’s Lamu County and is deposited at the East African Herbarium in Nairobi, with an isotype at the Royal Botanic Gardens, Kew. In addition, the team studied roughly 140 digitized specimens of other Eureiandra species online, comparing the new plant against its closest relatives using both living material and dried collections, with measurements refined through image-analysis software.

Eureiandra is a small African genus of the gourd family comprising eight species, distributed mainly in tropical and subtropical eastern and southern Africa, with one species, E. balfourii, restricted to the island of Socotra. The genus sits within tribe Coniandreae of the subfamily Cucurbitoideae and is characterized by simple tendrils, five free petals, broad anther connectives, beaked fruits and dark, subglobose to ovate seeds. These features distinguish it from morphologically similar genera such as Coccinia. Despite its botanical interest, the genus has attracted little attention beyond a handful of taxonomic treatments, and its economic or ethnobotanical significance remains poorly understood, although the roots of the Socotran species are reportedly used in traditional medicine and crude extracts have shown some biological activity in preliminary pharmacological studies.

The new species is a climber reaching up to four meters long, rising from a tuberous rootstock that can measure up to 17 centimeters in diameter. Its annual herbaceous stems are nearly glabrous, with sparse hairs mainly restricted to the nodes, a subtle but taxonomically telling feature. The leaves are dark green and glossy, broadly ovate to reniform-cordate in outline and palmately divided into three to five lobes, with blades ranging from 6.6 to 18.7 centimeters long and 6.1 to 26.0 centimeters wide. Male flowers are borne in clusters of two to fourteen on short peduncles, with pale orange petals marked by darker centers, while female flowers are solitary or paired. The fruits are ovoid to ellipsoid, pale green with conspicuous white blotches, fleshy, and taper into a stout beak about 15 millimeters long. The seeds are oblong-elliptic, blackish brown with a pale raphe and a slightly fibrous testa.

What sets Eureiandra orientalis apart most clearly is its similarity to, and simultaneous divergence from, its presumed closest relative, Eureiandra fasciculata. The two species share annual herbaceous stems, palmately lobed leaves and female flowers with five staminodes, yet they differ consistently across a suite of vegetative and reproductive characters. E. orientalis has larger, darker, glossy leaves with hairs confined to the veins and margins, whereas E. fasciculata has smaller, paler leaves that feel rough or puberulous. The male inflorescences of the new species are shortly pedunculate, while those of E. fasciculata are solitary or in fewer-flowered clusters lacking a distinct peduncle. The petals are ovate rather than obovate, the fruits larger, at 6.5 to 11.5 centimeters long compared with 4.5 to 8.5 centimeters, and the seeds oblong-elliptic with indistinct margins and a fibrous testa rather than subglobose with a distinct margin and smooth surface.

Perhaps the most evocative difference lies in the species’ phenology, the timing of its life cycle events. In Eureiandra orientalis, the leaves are fully developed at flowering time, draping the vines in glossy green as the pale orange blossoms open. In Eureiandra fasciculata, by contrast, the stems are often leafless at anthesis, producing flowers on bare stems. The new species flowers from January to August, with peak activity coinciding mainly with the coastal long rains of March to June and adjacent months, and it may also respond to local rainfall at individual sites. Notably, its flowering does not correspond to the short rains of October to December. Fruiting begins toward the end of the long rains and continues through the dry season, a rhythm shaped by East Africa’s bimodal rainfall regime.

The species’ name, orientalis, refers to its eastern African distribution and honors the unpublished name used by Luke in 2005. It is currently known from the coastal lowlands of Kenya and Tanzania, with most records from Kilifi County in Kenya and the coastal forest areas of Dar es Salaam and Tanga in Tanzania. The plant occupies low elevations between sea level and 760 meters, growing commonly on rocky limestone or coral rag slopes, at the edges of coastal forests, and in the understory of semi-deciduous forest. The paratype collections trace a rich history of botanical exploration, from specimens gathered in the Usambara Mountains in the 1890s to recent field collections made in 2024 on limestone slopes near Kilifi, documenting the plant across more than a century of East African botany.

Conservation assessment offers a measure of reassurance, though not complacency. With 39 georeferenced occurrences across roughly 15 locations, an extent of occurrence of about 130,000 square kilometers and an area of occupancy of 148 square kilometers, the species has been evaluated as Least Concern under the IUCN Red List Categories and Criteria. Yet the authors caution that coastal forest at several localities is already being lost to agricultural clearance and to quarrying of coral rag and limestone for cement. These activities are ongoing and are likely to reduce some populations in the near term, meaning that remaining forest fragments require prompt monitoring and protection even though the species does not yet meet the thresholds for a threatened category.

The long interval between the taxon’s first recognition in 1967 and its formal description today highlights the incomplete documentation of plant diversity in East Africa, a pattern echoed by a series of previously overlooked gourd family species described from Kenya during the past decade, including members of the genera Peponium and Zehneria. The discovery also underscores the importance of the coastal forests of Kenya, Tanzania and northern Mozambique, a region widely recognized as a center of exceptional plant diversity and endemism that continues to reveal significant taxonomic novelties.

One question remains open: the phylogenetic position of Eureiandra orientalis within the genus has yet to be confirmed with molecular data. The authors note that morphology alone may not fully capture evolutionary history in understudied tropical lineages, and they call for future studies integrating expanded field sampling, herbarium revision and phylogenomic data to clarify species limits, relationships within Eureiandra and the biogeographic significance of this eastern African coastal lineage. For now, a plant that waited nearly sixty years for a name has finally claimed its place in the botanical record, a reminder of how much undiscovered diversity still clings to the fragments of East Africa’s coastal forests.

Subject of Research: Taxonomic description of a new gourd family species from East African coastal forests

Article Title: Eureiandra orientalis ( Cucurbitaceae ), a new species from Kenya and Tanzania

Article References: Wang, R.-Z., Ran, Z.-H., Schaefer, H., Luke, Q., Mollel, N. P., Kirika, P. M., Chapano, C., Yan, X., Wang, S.-W., Wei, N., & Wang, Q.-F. (2026). Eureiandra orientalis (Cucurbitaceae), a new species from Kenya and Tanzania. PhytoKeys, 280, 133-146. https://doi.org/10.3897/phytokeys.280.206680

Image Credits: AI Generated

DOI: 10.3897/phytokeys.280.206680

Keywords: Eureiandra orientalis, Cucurbitaceae, new species, Kenya, Tanzania, coastal forests, taxonomy, plant diversity, biodiversity hotspot, herbarium, East Africa, conservation

The research team, led by graduate researcher Titilayo Tajudeen alongside co-authors Marcelo Ardon, Mirela Tulbure and Katherine Martin, focused on the Albemarle-Pamlico Peninsula, one of the largest expanses of coastal forest on the Atlantic seaboard and a region exceptionally vulnerable to rising seas. By training artificial intelligence models on decades of satellite imagery, the researchers reconstructed a 36-year history of land cover change, distinguishing healthy forest from marshland, shrub-dominated thickets and ghost forest. The results reveal a landscape under mounting pressure from saltwater intrusion, saturated soils and the compounding effects of extreme weather events.

The headline numbers tell a story of acceleration. Between 1985 and 2010, some 16,968 hectares of forest were converted into marsh, ghost forest or shrubland. Between 2010 and 2021, that figure climbed to 23,876 hectares, one and a half times the loss recorded over the preceding 25 years, despite covering less than half the time span. The transition into ghost forest, where salt-poisoned trees die but remain standing, accelerated even more dramatically. Ghost forest extent grew by 7,561 hectares between 2010 and 2021, a rate two and a half times faster than the 3,087 hectares gained between 1985 and 2010. In other words, the most visible and haunting symptom of coastal degradation is intensifying faster than overall forest loss itself.

At the heart of this transformation lies sea level rise, which the study identified as the chief driver of forest loss. As relative sea level climbs along the North Carolina coast, salty water pushes into freshwater wetlands and low-elevation upland forests, elevating soil salinity and waterlogging the root systems of salt-intolerant trees. The abstract accompanying the paper describes how healthy coastal forests that depend on freshwater are transitioning into landscapes dominated by dead or dying trees, which are in turn flanked by salt-tolerant shrubs and grasses before eventually giving way to marshes or open water. This progression, from forest to ghost forest to marsh, represents a one-way ecological ratchet in which each stage is harder to reverse than the last.

Geography matters as much as chemistry. The researchers found that the most heavily affected areas were concentrated within one kilometer of the coast, where proximity to channels exposes the land most directly to saltwater intrusion and storm-driven surges. Salinity and the increasing rate of relative sea level rise emerged as the key environmental drivers of the observed conversions, alongside the simple fact of being close to tidal waters. These findings provide a spatial template for identifying which remaining forest tracts are most vulnerable, information the authors say can form the basis for targeted conservation strategies before more land crosses the threshold of no return.

Yet sea level rise does not act alone. The study highlights how a sequence of extreme events compounded the slow creep of the ocean. The region endured a severe drought from 2007 to 2011, followed by Hurricane Irene in 2011, a one-two punch that stressed forests already contending with encroaching salt. Tajudeen noted that while these events occurred long before the end of the study period, some of the affected areas simply never recovered. Even lands that enjoy formal protection were not spared, as the combination of extreme events and rising seas pushed them into new ecological states, including ghost forest. The lesson for coastal managers is sobering: protected status cannot shield an ecosystem from a changing climate, and disturbance events can permanently tip vulnerable forests over the edge.

The methodological machinery behind these findings is as noteworthy as the results themselves. The researchers harnessed two complementary satellite imagery systems, Landsat 8 and Sentinel-2, and trained a convolutional neural network, a class of artificial intelligence model particularly adept at processing the grid-like structure of satellite raster data. By feeding the network multispectral, bi-seasonal, topographical and phenological metrics derived from the imagery, the team enabled it to classify which pixels represented intact forest and which had been converted to marsh, ghost forest or shrub. The study found that incorporating phenology and topographical indices significantly enhanced the separability of the ghost forest class from all other vegetation types, a critical technical achievement given how visually similar dying forests can appear from orbit.

Each satellite platform brought distinct strengths to the analysis. Sentinel-2 imagery offers a resolution of 10 meters, sharper and more detailed than the 30-meter resolution of Landsat 8, and in a head-to-head comparison for the year 2021, when both datasets were available, the higher-resolution Sentinel-2 data outperformed Landsat, achieving an F1 score of 96.3 against Landsat’s 93.4. But Landsat holds an irreplaceable advantage in its archive, which stretches back decades and allowed the researchers to extend their analysis all the way to 1985. The team therefore relied on Landsat for the long-term reconstruction while using the comparison to validate the accuracy of their approach, demonstrating that deep learning models can deliver reliable land cover classification across both modern and legacy satellite records.

Beyond its regional significance, the study offers a replicable framework for tracking coastal ecosystem degradation worldwide. Ghost forests are appearing along shorelines from the Chesapeake Bay to the Gulf Coast and beyond, wherever rising seas meet flat, forested terrain. Quantifying the dynamics and pathways of forest-to-marsh conversion, as this research does, is vital for understanding the progression of degradation and for forecasting future change. By pinpointing the regions most exposed to salinity, proximity to channels and accelerating sea level rise, the North Carolina work gives conservation planners a way to prioritize interventions, whether protecting migration corridors for marshes, managing hydrology to limit saltwater intrusion, or accepting conversion in some areas while defending others.

What the bleached trunks of the Albemarle-Pamlico Peninsula signal, ultimately, is a coastline in motion. Forests that took centuries to establish are being converted to marsh and open water within a few human generations, and the study’s evidence that loss may still be speeding up suggests the coming decades will bring further, faster change. The ghost forest is more than a haunting photograph; it is a measurable, accelerating indicator of how rising seas are redrawing the boundary between land and water, and thanks to the marriage of long-term satellite archives and modern machine learning, scientists can now watch that boundary shift year by year, hectare by hectare.

Subject of Research: Accelerating coastal forest loss and ghost forest formation driven by sea level rise on North Carolina's Albemarle-Pamlico Peninsula

Article Title: Forests are dying along North Carolina’s coast – and it’s speeding up

Article References: Forests are dying along North Carolina’s coast – and it’s speeding up. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: ghost forests, sea level rise, coastal forests, North Carolina, saltwater intrusion, remote sensing, convolutional neural networks, Landsat, Sentinel-2, marsh conversion, Albemarle-Pamlico Peninsula, PLOS One