Category: Biodiversity Data Journal

Poison ivy an unlikely hero in warding off exotic invaders?

Dozens of studies have looked at the effects of Japanese knotweed on natural communities in Europe and North America. Yet Bucknell University professor Chris Martine still felt there was something important to learn about what the plant was doing along the river in his own backyard.

“The more time I spent in the forests along the Susquehanna River, the more it seemed like something was really going wrong there,” said Martine. “In addition to the prevalence of this single invasive species, it looked like the very existence of these forests was under threat.”

What Martine noticed was similar to what local nature lovers and biologists with the Pennsylvania Natural Heritage Program were also starting to see: these forests, specifically those classified as Silver Maple Floodplain Forests, were not regenerating themselves where knotweed had taken a foothold.

In a new study published in the open access Biodiversity Data Journal, Martine and two recent Bucknell alumni conclude that Japanese knotweed has not only excluded nearly all of the native understory plant species in these forests, but it has prevented the trees already established in the canopy from leaving behind more of themselves.

“If you were to fly over these forests, or even look at a Google Earth image, you’d see a nice green canopy along the river consisting of mature silver maples, river birches, and sycamores,” explained Martine. “But below that canopy there is almost nothing for tens of feet before you reach an eight-to-twelve-foot-tall thicket of knotweed. Few new trees have been able to grow through that in the last 50-60 years and our surveys found that seedlings of these species are quite rare.”

The authors suggest that as mature trees die of natural causes over the next several decades and are not replaced, these systems will shift from tree-dominated riverbank habitats to “knotweed-dominated herbaceous shrublands” incapable of supporting a rich diversity of insects, birds, and other wildlife. Loss of trees in these habitats could likely also lead to riverbank erosion and increase the severity of flood events.

The few places where knotweed has not taken over offer a bit of hope, however, from an unlikely hero: poison-ivy, which Martine calls “perhaps the least popular plant in America.”

“What we see in the data is that poison-ivy often trades understory dominance with knotweed. That is, when knotweed isn’t the big boss, poison-ivy usually is. The difference is that whereas knotweed knocks everyone else out of the system, poison-ivy is more of a team player. Many other native plants can co-occur with it and it even seems to create microhabitats that help tree seedlings get established.”

The prevalence of poison-ivy in these sites didn’t go unnoticed by undergraduate Anna Freundlich, who collected most of the plant community data — more than 1,000 data points — in a single summer as a research fellow.

“Anna developed a pretty serious methodology for avoiding a poison-ivy rash that included long sleeves, long pants, gloves, duct tape, and an intense wash-down protocol,” said her research advisor, “and even after crawling through the plant for weeks she managed to never once get a rash.”

Martine cautions against too much optimism regarding the chances of one itch-inducing native plant saving the day, however.

“Righting this ship is going to require eradicating knotweed from some of these sites, and that won’t be easy work. It will take some hard manual labor. But it’s worth doing if we want to avoid the imminent ecological catastrophe. These forests really can’t afford another half-century of us letting knotweed run wild.”

Freundlich is a now pursuing a Master’s degree in plant ecology at the University of Northern Colorado. Lead author Matt Wilson, a Bucknell Master’s student at the time of the study who analyzed the dataset, now works for the Friends of the Verde River in Cottonwood, AZ.

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Original source:

Wilson M, Freundlich A, Martine C (2017) Understory dominance and the new climax: Impacts of Japanese knotweed (Fallopia japonica) invasion on native plant diversity and recruitment in a riparian woodland. Biodiversity Data Journal 5: e20577. https://doi.org/10.3897/BDJ.5.e20577

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About Japanese knotweed:

Japanese knotweed is considered to be one of the toughest, most damaging and insidious plants in the world. Native to East Asia, the species has already established successfully in many parts throughout North America and Europe, where it can easily grow and invade private properties and homes. It is hardy enough to penetrate patios, house foundations and concrete. Given it spreads easily and can grow underground to a depth of 3 metres with a horizontal range of up to 7 metres, it is extremely difficult to eradicate and its treatment requires special attention. To find advice on recognition, hazards and treatment, you can check out The Ultimate Japanese Knotweed Guide.

Artificial neural networks could power up curation of natural history collections

Deep learning techniques manage to differentiate between similar plant families with up to 99 percent accuracy, Smithsonian researchers reveal

Millions, if not billions, of specimens reside in the world’s natural history collections, but most of these have not been carefully studied, or even looked at, in decades. While containing critical data for many scientific endeavors, most objects are quietly sitting in their own little cabinets of curiosity.

Thus, mass digitization of natural history collections has become a major goal at museums around the world. Having brought together numerous biologists, curators, volunteers and citizens scientists, such initiatives have already generated large datasets from these collections and provided unprecedented insight.

Now, a study, recently published in the open access Biodiversity Data Journal, suggests that the latest advances in both digitization and machine learning might together be able to assist museum curators in their efforts to care for and learn from this incredible global resource.

A team of researchers from the Smithsonian Department of Botany, Data Science Lab, and Digitization Program Office recently collaborated with NVIDIA to carry out a pilot project using deep learning approaches to dig into digitized herbarium specimens.

*Smithsonian researchers classifying digitized herbarium sheets.*

Their study is among the first to describe the use of deep learning methods to enhance our understanding of digitized collection samples. It is also the first to demonstrate that a deep convolutional neural network–a computing system modelled after the neuron activity in animal brains that can basically learn on its own–can effectively differentiate between similar plants with an amazing accuracy of nearly 100%.

In the paper, the scientists describe two different neural networks that they trained to perform tasks on the digitized portion (currently 1.2 million specimens) of the United States National Herbarium.

The team first trained a net to automatically recognize herbarium sheets that had been stained with mercury crystals, since mercury was commonly used by some early collectors to protect the plant collections from insect damage. The second net was trained to discriminate between two families of plants that share a strikingly similar superficial appearance.

*Sample herbarium specimen image of stained clubmoss.*

The trained neural nets performed with 90% and 96% accuracy respectively (or 94% and 99% if the most challenging specimens were discarded), confirming that deep learning is a useful and important technology for the future analysis of digitized museum collections.

“The results can be leveraged both to improve curation and unlock new avenues of research,” conclude the scientists.

“This research paper is a wonderful proof of concept. We now know that we can apply machine learning to digitized natural history specimens to solve curatorial and identification problems. The future will be using these tools combined with large shared data sets to test fundamental hypotheses about the evolution and distribution of plants and animals,” says Dr. Laurence J. Dorr, Chair of the Smithsonian Department of Botany.

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Original source:

Schuettpelz E, Frandsen P, Dikow R, Brown A, Orli S, Peters M, Metallo A, Funk V, Dorr L (2017) Applications of deep convolutional neural networks to digitized natural history collections. Biodiversity Data Journal 5: e21139. https://doi.org/10.3897/BDJ.5.e21139

A Bed & Breakfast in L.A. reveals the lifestyle of a secretive fly species

For nearly 30 years, Dr. Brian Brown knew about a mysterious unidentified phorid fly species, whose females would often be spotted flying above mushrooms, while the males were nowhere to be found.

Little did anyone know that this years-long puzzle would be solved once and for all after a surprising call came in earlier this year, in April.

Los Angeles Bed & Breakfast owners Patsy Carter and Lisa Carter-Davis had decided to alert entomologists about the newly emerged numerous mushrooms in their yard.

The study is published in the open access Biodiversity Data Journal by Dr. Brian Brown and his colleague at the Natural History Museum of Los Angeles County, Emily A. Hartop. It is the latest in a series of publications resulting from the extensive BioScan Project, which surveys the biodiversity in the Los Angeles area and was launched in 2012 by the NHMLA.

It turned out that these mushrooms were hosting the mysterious flies. Females were ovipositing in the mushroom caps with the larvae subsequently developing and feeding on the lower surface of the fungi, deep within the gills. Later, the larvae would exit the mushroom to pupate into the soil underneath before emerging as adults.

Most importantly, the team managed to collect specimens of the previously unknown males, which allowed them to successfully identify the mysterious species as Megaselia marquezi. Over the span of the BioScan Project, the species had already been known to be the sixth most commonly collected one around Los Angeles, yet its lifestyle has remained a secret until now.

“About 100 species, mostly of Megaselia, are known from Los Angeles, but many were new to science and had nothing known of their lifestyle,” explain the authors. “Matching a lifestyle with a species previously known only from a name is a significant accomplishment.”

They also noted that, “We can do great things with the help of citizen scientists, who extend our reach into urban areas that are generally off-limits”.

“Possibly, the widespread irrigation of lawns allows fungal growth that supports an abundant fungivore community, but our ignorance of the fauna of the surrounding natural areas makes such statements highly speculative.”

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Original source:

Brown B, Hartop E (2017) Mystery mushroom malingerers: Megaselia marquezi Hartop et al. 2015 (Diptera: Phoridae). Biodiversity Data Journal 5: e15052. https://doi.org/10.3897/BDJ.5.e15052

Beetle’s Best Friend: Trained dogs most efficient in monitoring hermit beetle larvae

Hermit beetles (Osmoderma eremita) are considered at risk, but in order to be effectively protected, they first need to be identified and consistently monitored.

However, this turns out to be a tough task, given that the species is only present for a short time as an adult while it is also extremely elusive. On the other hand, although it remains as a larva for up to three years, once again, it is difficult to spot as it hides inside hollow trees living in the wood mould.

The standard method for detecting hermit beetles involves wood mould sampling which is not only arguable in its overall efficiency, but is also unreasonably time-consuming and quite damaging to both the species communities and their habitat.

Searching for an alternative, Italian scientists, led by Dr. Fabio Mosconi of the Italian Agricultural Research Council and Sapienza University of Rome, suggested that trained dogs might be more successful. Such conservation detection dogs are currently being widely deployed when searching for mammals, reptiles and birds and have already been tested for locating a number of invertebrates.

In their paper, published in the open access journal Nature Conservation, the team tested a training programme before comparing it with the traditional method. The study has been conducted as part of the MIPP Project aimed at the development of non-invasive methods for monitoring selected saproxylic beetles.

Starting from the choice of a dog, the scientists carefully made their choice from a number of individuals as well as breeds. They settled on a Golden Retriever – a breed widely used in searches for biological targets. As for the particular dog, they chose Teseo – a six-month pup coming from a line with a strong background in locating illegally imported animals and animal parts.

The training of Teseo began with the assignment of a trainer/handler and some basic obedience training, involving teaching simple commands, search games and agility activities.

The next step was introducing the dog to various types of odours, since the hermit beetles might give off a different odour dependent on their habitats, such as the presence of fungi, sawdust and other organic materials. Immediately after detecting the target smell, the animal would be given a reward such as food or play, so that its behaviour could be positively reinforced.

Then, the dog was taught to differentiate between different odours. The researchers presented a number of targets to the animal where it needed to select the right one. At this stage, the dog was only rewarded for correct signalling. Should the dog be distant from the trainer, a special clicker was used to ‘announce’ the treat in advance. The researchers noted that it was at this stage when the relationship between the dog and the handler needed to be really strong, so that the training was as efficient as possible.

In conclusion, the scientists reported a significantly higher probability (73%) of Teseo successfully detecting a tree colonised by the larvae, as opposed to two people conducting the traditional wood mould sampling (34-50%). Moreover, the dog would cover a particular area in a very short time when compared to the traditional method – on average it would take it 6 minutes and 50 seconds to examine the whole tree, while the operators using wood mould sampling would need about 80 minutes. Additionally, searching for larvae with dogs poses no risk to either the insects or other organisms that might be living in the trees.

Furthermore, the researchers provided a list of precautions in order to increase the efficiency when searching for beetle larvae with the help of trained dogs. The list included familiarising the dog with the survey site beforehand, opting for the part of the day with the most favourable atmospheric conditions and carefully monitoring the dog for signs of fatigue.

“A conservation detection dog is a powerful tool for locating O. eremita and these results can be useful for other related European species of Osmoderma“, commented the scientists.

“In fact, the use of a trained dog is a fast, accurate and non-invasive method that allows the detection of a target species in an area and to identify the colonised trees; this means that a conservation detection dog can locate new populations, can confirm the presence of the target species and can assist in the mapping of colonised trees in an area, accurately and efficiently.”

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Original source:

Mosconi F, Campanaro A, Carpaneto GM, Chiari S, Hardersen S, Mancini E, Maurizi E, Sabatelli S, Zauli A, Mason F, Audisio P (2017) Training of a dog for the monitoring of Osmoderma eremita. In: Carpaneto GM, Audisio P, Bologna MA, Roversi PF, Mason F (Eds) Guidelines for the Monitoring of the Saproxylic Beetles protected in Europe. Nature Conservation 20: 237-264. https://doi.org/10.3897/natureconservation.20.12688

A decade of monitoring shows the dynamics of a conserved Atlantic tropical forest

Characterised with its immense biodiversity and high levels of endemism, the Atlantic Tropical Forest has been facing serious anthropogenic threats over the last several decades, demanding for such activities and their effects to be closely studied and monitored as part of the forest dynamics.

Cattle farming, expanding agricultural land areas and mining have reduced the Atlantic Forest to many small patches of vegetation. As a result, important ecosystem services, such as carbon stock, are steadily diminishing as the biomass decreases.

Brazilian researchers, led by Dr. Écio Souza Diniz, Federal University of Viçosa, spent a decade monitoring a semi-deciduous forest located in an ecological park in Southeast Brazil. Their observations are published in the open access Biodiversity Data Journal.

The team surveyed two stands within the forest to present variations in the structure and diversity of the plants over time, along with their dynamics, including mortality and establishment rates. They based their findings on the most abundant tree species occurring within each stand.

At the forest stands, the most abundant and important species for biomass accumulation are concluded to be trees larger than 20 cm in diameter, which characterise advanced successional stage within the forest.

“It is fundamental that opportunities to monitor conserved sites of the Atlantic Forest are taken, so that studies about their dynamics are conducted in order to better understand how they work,” note the scientists.

“The information from such surveys could improve the knowledge about the dynamics at anthropised and fragmented sites compared with protected areas.”

In order to encourage further research into the composition, diversity and structure of the Atlantic Forest over time and the subsequent contributions to the preservation of this threatened ecosystem, the authors made their data publicly available. The datasets, including species occurrences, are now openly accessible via the Global Biodiversity Information Facility(GBIF) and the biodiversity informatics data standard Darwin Core.

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Original source:

Diniz ES, Carvalho W, Santos R, Gastauer M, Garcia P, Fontes M, Coelho P, Moreira A, Menino G, Oliveira-Filho A (2017) Long-term monitoring of diversity and structure of two stands of an Atlantic Tropical Forest. Biodiversity Data Journal 5: e13564. https://doi.org/10.3897/BDJ.5.e13564

Effects of soil and drainage on the savanna vegetation in the northern Brazilian Amazonia

It is a well-known fact that environmental factors such as soil texture and drainage determine to a very large degree the vegetation appearance, richness and composition at any site. However, there has been little research on how these variables influence the flora in the marvellous savannas – large open areas characterised by a complex and unique network of natural resources and life forms.

Consequently, a Brazilian research team, led by Dr. Maria Aparecida de Moura Araújo, Universidade Federal de Roraima, investigated the hydro-edaphic conditions in the savanna areas in the northern Brazilian Amazonia. Their study, complete with an openly available and ready for re-use dataset, is published in the open access Biodiversity Data Journal.

In the course of the Program for Biodiversity Research, managed by the Brazilian government, the scientists sampled 20 permanent plots in two savanna areas in the state of Roraima, located in the northern of the Brazilian Amazon. As a result, the team reports a total of 128 plant species classified into 34 families from three savanna habitats with different levels of hydro-edaphic restrictions.

Amongst the various factors playing a role in the soil characteristics of the area, are the tectonic events and past climatic fluctuations which have occurred in the most recent period of the Cenozoic era. Paleo, as well as modern fires are likely to be other culprits for the specific conditions.

In conclusion, the authors suggest that the most restrictive savanna habitats – the wet grasslands, represent the home to less structurally complex plants, compared to the well-drained shrubby localities.

“The present study highlights the environmental heterogeneity and the biological importance of Roraima’s savanna regarding the conservation of natural resources from the Amazon,” say the scientists.

“In addition, it points out the need for greater investment in floristic inventories associated with greater diversification of sites, since this entire ecosystem has been rapidly modified by agribusiness.”

Licensed under a Creative Commons License (CC-BY 4.0) and available in a Darwin Core Archive DwC-A format; the complete dataset is openly available via the Global Biodiversity Information Facility (GBIF).

Original source:
Araújo M, Rocha A, Miranda I, Barbosa R (2017) Hydro-edaphic conditions defining richness and species composition in savanna areas of the northern Brazilian Amazonia. Biodiversity Data Journal 5: e13829. https://doi.org/10.3897/BDJ.5.e13829

Shadow-loving insect named after Tuomas Holopainen of Nightwish

Tuomas Holopainen, the multi-talented musician and founder of the symphonic metal band Nightwish, is also a full-blooded nature person. This gave conservation biologist Jukka Salmela of Metsähallitus Parks & Wildlife Finland an idea for the name of a new species he found in Finland. Discovered in eastern Lapland during an insect survey, the fungus gnat was given the scientific name Sciophila holopaineni after Tuomas. The new species is described in the open access Biodiversity Data Journal.

“I am very, very touched. This is the highest honour a nature nerd like me can receive,” Tuomas Holopainen replied after Jukka, who collected and described the fungus gnat, asked him for permission to name the species after him.

The idea for the name came up to Salmela while he was thinking about the habitat and appearance of the species. Then, he recalled Tuomas Holopainen’s interest in the natural sciences.

So far, the new species of fungus gnat has been only known from two locations: the Törmäoja Natura Area in Savukoski, eastern Lapland, and a meadow close to the White Sea, Russian Karelia.

The dark and beautiful gnat thrives in shadowy environments. In Törmäoja, it was caught in a river gulch next to the river source, while hiding under the shelter of the forest. Salmela proposes ‘tuomaanvarjokainen’ as the common Finnish name, inspired by the latest Nightwish album. After all, the themes of the album, Endless Forms Most Beautiful, are evolution and the diversity of nature.

Fungus gnats are flies, which feed on dead wood or fungi. Some of the larvae are predaceous. At current count, there are almost 800 species in Finland and about 1,000 in the Nordic countries. In fact, the Fennoscandia region is one of Europe’s biodiversity hotspots for this group of insects.

The Tuomas Holopainen’s species is only one of the eight new flies described in the study. Among them are the Boletina norokorpii fungus gnat, named after Docent Yrjö Norokorpi and known only from Ylitornio; Phronia reducta, which inhabits Salla and Siberia; and Orfelia boreoalpina found in Törmäoja and the German Alps.

The Parks & Wildlife Finland of Metsähallitus is responsible for the management and species surveys of the State’s nature reserves. The collected data is needed in activities such as assessing the status of biodiversity, the protection of species, and planning the management and use of the reserves. Insects are as good an indicator of the state of the natural environment as better-known vertebrates or plants. The diversity of insect species forms part of natural biodiversity and is necessary to human well-being.

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Original source:

Salmela J, Kolcsár L (2017) New and poorly known Palaearctic fungus gnats (Diptera, Sciaroidea). Biodiversity Data Journal 5: e11760. https://doi.org/10.3897/BDJ.5.e11760

Gehry’s Biodiversity Museum – favorite attraction for the butterflies and moths in Panama

Ahead of Gehry’s Biodiversity Museum‘s opening in October 2014, PhD candidate Patricia Esther Corro Chang, Universidad de Panama, studied the butterflies and moths which had been attracted by the bright colours of the walls and which were visiting the grounds of the tourist site.

The resulting checklist, published in the open access journal Biodiversity Data Journal, aims to both evaluate the biodiversity and encourage the preservation and development of the Amador Causeway (Calzada de Amador) and the four Causeway Islands. The name of the islands derives from their being linked to each other and the mainland via a causeway made of rocks excavated during the construction of the Panama Canal.

The researcher reports a total of six butterfly and eight moth families, identified from the 326 specimens collected over the course of 10 months from the botanical garden of the museum and adjacent areas. They represent a total of 52 genera and 60 species.

Interestingly, the eye-catching bright colours of the walls of the museum seem to play an important role for the insect fauna of the area. Not only are numerous butterflies and moths being attracted to the site, but they also express curious behaviour. On various occasions, for example, a species of skipper butterfly was seen to show a clear preference for yellowish surfaces. In their turn, a number of butterfly predators, such as jumping spiders, are also frequenting the walls.

The article in the journal provides knowledge of the butterfly and moth fauna at the mainly vegetated study area, located on a narrow strip of water distant from the city of Panama.

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Original source:

Corro-Chang P (2017) Behavioural notes and attraction on Lepidoptera around the Gehry’s Biodiversity Museum (Causeway, Calzada de Amador, Panamá, República de Panamá). Biodiversity Data Journal 5: e11410. https://doi.org/10.3897/BDJ.5.e11410

Rarely-seen event of ant brood parasitism by scuttle flies video-documented

While many species of scuttle flies are associated with ants, their specific interactions with their hosts are largely unknown. Brood parasitism (attacking the immature stages, rather than the adult ants), for example, is an extremely rarely observed and little-studied phenomenon. However, a research team from the USA and Brazil, led by Dr. Brian Brown, Natural History Museum of Los Angeles County, have recently video-documented two such occasions. The observations are published in the open access Biodiversity Data Journal.

One of the videos, taken in Brazil, shows female scuttle flies attacking ants evacuating their nest. Having had their colony exposed, worker ants try to carry the brood to the nearest shelter. The flies follow these workers on foot, and bump into them in attempt to make them drop the larvae. The scientists have provided a video of an ant which, when harassed, left a larva in a partially exposed position and fled. Immediately, the fly attacked the larva, laying an egg inside its body. The fact that the flies attack the relatively soft-bodied larvae explains the puzzling structure of the ovipositor (egg-layer) of this species (Ceratoconus setipennis), which appears much less hardened than the ovipositor of species attacking adult ants. As a result of the present observation, however, their association with ants is no longer a mystery.

The second footage, filmed in Costa Rica, shows an undescribed species of scuttle fly (genus Apocephalus) that fly above the ants. When they spot a worker carrying brood, it would plunge down to it, approach the ant from behind and land on the (in this case) pupa. Then, it flips over onto its back, keeping the pupa between itself and the ant, while it lays an egg into the pupa from an upside-down position.

“The video documentation of two very different types of brood parasitism of ant species by scuttle flies was recorded in two countries within just a few months of one another,” conclude the authors. “This hints at the many remarkable behaviors of phorid flies that may still await discovery by the patient observer. It appears brood parasitism may not be as rare as was once assumed, and that there may be a tremendous amount of information to uncover about these behaviors.”

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Original source:

Brown B, Hash J, Hartop E, Porras W, Amorim D (2017) Baby Killers: Documentation and Evolution of Scuttle Fly (Diptera: Phoridae) Parasitism of Ant (Hymenoptera: Formicidae) Brood. Biodiversity Data Journal 5: e11277. https://doi.org/10.3897/BDJ.5.e11277

Robust rattan palm assessed as Endangered, new Species Conservation Profile shows

An African rattan palm species has recently been assessed as Endangered, according to the IUCN Red List criteria. Although looking pretty robust at height of up to 40 m, the palm is restricted to scattered patches of land across an area of 40 km². It grows in reserves and conservation areas in Ghana and a single forest patch in Côte d’Ivoire. Its Species Conservation Profile is published in the open access Biodiversity Data Journal by an international research team, led by Thomas Couvreur, Institut de Recherche pour le Développement (IRD), France, in collaboration with the University of Yaoundé, Cameroon, Royal Botanic Gardens, Kew, UK, and the Conservatoire et jardin botaniques, Geneva, Switzerland.

The rattan palm is confined to moist evergreen forests with high rainfall, located at 100 to 200 meters above sea level. The species is poorly known, yet it is likely very rare judging from the limited amount of forest habitat remaining across its range. Furthermore, the known populations are isolated from each other by large distances, which makes them particularly vulnerable.

Even though there are gaps of knowledge concerning the rattan palm species, the research team conclude that it is most likely currently declining, due to habitat loss, fragmentation and over-harvesting. Often mistaken for a sister species, commonly used in trade, the stems of the endangered species are largely used in furniture production. When longitudinally split into ribbons, the canes are also used as ropes for thatching, for making baskets and sieves, and to make traps.

“As with most African rattan species, there is inadequate information on the international trade, but it is likely to be negligible,” explain the scientists.

“Conservation measures are urgently needed to protect the habitat of this species and to control the unsustainable harvest of the stems. A promising solution might be sustainable cultivation of rattans to avoid the exploitation of wild populations,” suggests Ariane Cosiaux (IRD), the lead author of the study currently based in Cameroon.

With their present paper, the authors make use of a specialised novel publication type feature, called Species Conservation Profile, created by Biodiversity Data Journal, to provide scholarly credit and citation for the IUCN Red List species page, as well as pinpoint the population trends and the reasons behind them.

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Original source:

Cosiaux A, Gardiner L, Ouattara D, Stauffer F, Sonké B, Couvreur T (2017) An endangered West African rattan palm: Eremospatha dransfieldii. Biodiversity Data Journal 5: e11176. https://doi.org/10.3897/BDJ.5.e11176