Plant Extinction Research Articles

Spatiotemporal assessment of land use land cover change, driving forces, and consequences using geospatial techniques: The case of Naqamte city and hinterland, western Ethiopia

Land use and land cover change (LULCC) is the result of both anthropogenic and natural activities. LULCC has caused biodiversity and climate change in the study area. Land use and land cover (LULC) datasets for the investigation site were created from Landsat images in 1987, 2004, and 2021 using the maximum likelihood method. After LULCC the cross-tabulation and trend-surface analyses were performed to identify dominant land transitions in post-classification maps. The driving forces that caused LULCC and its consequences were examined using qualitative data. Study results show that spatial and temporal LULC classes were significantly changed except for waterbodies. The estimated aerial extent of forest land has decreased dramatically by 14.5 % over the last 34 years (1987–2021), while bare land, built-up land, and agricultural land have increased by 6.83 %, 4.33 %, and 3.21 %, respectively. According to this study, the main causes of LULCC in the district were population increase, growing cropland, the need for firewood, building supplies, and coal, as well as the ineffective use of natural resources and land monitoring systems. Forest deterioration, extinction of plant and animal species, soil degradation, and a lack of animal feed were the primary effects of changes in LULC. The overall accuracy of the three classified images of the years 1987, 2004, and 2021 was 86 %, 94 %, and 97 %, respectively. Lastly, our work used Markov chain analysis to examine LULCC in a spatiotemporal manner. These findings would provide decision support for policymakers to frame future sustainable land use policies.

Advancements of ”CAPTAIN” in Plants Conservation Compared to Traditional Techniques

The rapid decline in plant diversity has become a pressing issue with significant implications for humanity. Numerous methods and technologies are being developed to address this problem. Traditional methods, primarily based on statistical analysis, are being used alongside modern conservation methods that leverage AI (Artificial Intelligence) technology. Among many conservation approaches, we compare the traditional and modern methods to find out how AI has been involved. Based on our research, two traditional models have been chosen for this report. Marxan has been widely used since it was developed. Based on the IUCN Red List database, PACA accelerates plant extinction risk assessments. However, these models have some limitations, including unsuitability for rapid and urgent conservation management, poor adaptability, etc. In contrast, CAPTAIN, based on artificial intelligence technology, not only overcomes the limitations of traditional models but also offers advantages such as non-locality and upgradability. By analysing the differences and correlations between statistical technology and AI technology, we aim to enhance our understanding of the advancements of AI in plant conservation and summarize their development status and prospects.

Spatial patterns and predictors of seed plants' extinction risks in Asian countries

Asian countries are experiencing severe biodiversity loss, so it is crucial to develop practical conservation actions and strategies. Threats to species are often dynamic, as their impacts on extinction risk change over time. There is an urgent need to better understand how these factors are interrelated and how they vary spatially with extinction risk. Here, we presented a spatially explicit method to evaluate the dynamic trends and predictors of seed plants' extinction risks across countries, using National Red List data from China, Japan, and Sri Lanka as case studies, by calculating the Red List Index (RLI) and mapping the percentage of seed plants facing increasing risks and pressures. We found overall decrease in extinction risks, however, a substantial number of species, ranging from 328 to 1343 depending on the country, still showed increasing extinction risks. Increasing extinction risks of plants was strongly correlated with changes in threats, such as urban expansion, temperature changes, and tree canopy cover changes, rather than static threat intensity. Specifically, increasing tree canopy cover significantly associated with plant extinction risks in both China and Sri Lanka, where large-scale afforestation and economic forest plantation probably resulted in habitat degradation and species loss. Concerningly, our findings indicated that land-use change was the dominant driver of increased species extinction risk in these two countries, in contrast to climate change in Japan. As governments commit to the Kunming-Montreal Global Biodiversity Framework, we suggest them to make site-specific or taxa-specific policies to ensure the effectively prevention of biodiversity loss.

PERSEPSI MASYARAKAT TERKAIT PENERAPAN KONSEP DESAIN EKOLOGI TERHADAP PEMBANGUNAN BERKELANJUTAN PADA TEPIAN SUNGAI AYUNG

The concept of sustainable development has basically become the concern of all parties, especially in tourist destination areas. The Ayung riverside area is one of the tourist destinations for local and foreign residents. The rapid development of the Ayung riverside environment has a great impact on the environment around the village. The environment around the village sometimes becomes a place of uncontrolled development that causes environmental damage characterized by decreased air, water and soil quality, resulting in the extinction of animals, plants, wildlife and damage to ecosystems. In this context, it is necessary to apply ecological architecture to the construction of urban support works, including riverside areas. This study aims to determine public perceptions related to the application of ecological design concepts to sustainable development in the Ayung riverside area. The method used is descriptive with a qualitative approach, analyzing according to the principles of ecological design. The application of ecological architecture on the banks of the Ayung river is expected to ensure the sustainability of the ecosystem and minimize negative impacts on the environment due to improper ecological design. The results of this study show that ecological principles can be applied in the Ayung riverside area, including the arrangement of several buildings to create dynamic green spaces while still based on local wisdom

Fossil Wood Analyses: Several Examples from Five Case Studies in the Area of Central and NW Bohemia, Czech Republic.

In the area of the Central and NW Bohemia, Czech Republic, the fossil wood is quite abundant, found in different states of preservation and present from Paleozoic (Pennsylvanian), through Mesozoic (Upper Cretaceous), to Cenozoic (upper Eocene to lower Miocene). So, this small area is ideal to demonstrate various aspects of the fossil wood analyses, including anatomy (unifacial vs. bifacial cambium, formation of tyloses and its significance, early vs. late wood, unambiguity of scientific terminology, stem vs. root wood), taphonomy (completeness of fossil record, influence of environment on mode of preservation, influence of preservation on wood anatomy and preservation potential, discrepancy between the record of wood and other organs), systematics (stem vs. crown group, wide concept of fossil wood genera, "mosaic" species, wood of extinct plants), and palaeoclimatic reconstruction (definition of "wood type," subjective vs. objective methods). The majority of the studied woods were thin-sectioned following the standard techniques and observed with a compound light microscope.

Accelerating local extinction associated with very recent climate change.

Climate change has already caused local extinction in many plants and animals, based on surveys spanning many decades. As climate change accelerates, the pace of these extinctions may also accelerate, potentially leading to large-scale, species-level extinctions. We tested this hypothesis in a montane lizard. We resurveyed 18 mountain ranges in 2021-2022 after only ~7 years. We found rates of local extinction among the fastest ever recorded, which have tripled in the past ~7 years relative to the preceding ~42 years. Further, climate change generated local extinction in ~7 years similar to that seen in other organisms over ~70 years. Yet, contrary to expectations, populations at two of the hottest sites survived. We found that genomic data helped predict which populations survived and which went extinct. Overall, we show the increasing risk to biodiversity posed by accelerating climate change and the opportunity to study its effects over surprisingly brief timescales.

Metabolite profiling of Borneo’s Gonystylusbancanus through comprehensive extraction from various polarity of solvents

Gonystylus bancanus wood or ramin wood has been generally known as a source of agarwood (gaharu) bouya, a kind of agarwood inferior type, or under the exported trading name of aetoxylon oil. The massive exploitation of ramin wood is causing this plant's extinction and putting it on Appendix II CITES and IUCN Red List of Threatened Species. To date, no scientific publication concerns the chemical exploration of G. bancanus wood and preserving this germplasm through its metabolite profiling. Therefore, research focused on chemical components profiling of G. bancanus is promised. This research is aimed to explore metabolomics and analyze the influence of solvent polarities on the partitioning of metabolites in G. bancanus wood. A range of solvents in different polarities was applied to provide comprehensive extraction of metabolites in G. bancanus wood. Moreover, a hydrodistillation was also carried out to extract the volatile compounds despite the non-volatile ones. LCMS and GCMS analyses were performed to identify volatile and non-volatile components in the extracts and essential oil. Multivariate data analysis was processed using Principal Component Analysis (PCA) and agglomerative hierarchical clustering. 142 metabolites were identified by LCMS analysis, while 89 metabolites were identified by GCMS analysis. Terpenoids, flavonoids, phenyl propanoids, and saccharides are some major compound classes available from LCMS data. Oxygenated sesquiterpenes, especially 10-epi-γ-eudesmol, and β-eudesmol, are the major volatile components identified from GCMS analysis. PCA of LCMS analysis demonstrated that PC1 discriminated two clusters: essential oil, dichloromethane, and n-hexane extracts were in the positive quadrant, while methanol and ethyl acetate extracts were in the negative quadrant. Three-dimensional analysis of GCMS data revealed that n-hexane extract was in the superior quadrant, and its composition can be significantly distinguished from other extracts and essential oil. G. bancanus wood comprises valuable metabolites, i.e., terpenoids, which benefit the essential oil industry. Comprehensive extraction by performing solvents in different polarities on G. bancanus wood could allow exploration of fully extracted metabolites, supported by the exhibition of identified metabolites from LCMS and GCMS analysis.

Improving the mapping of coastal invasive species using UAV imagery and deep learning

ABSTRACT Spartina anglica C. E. Hubb. is an invasive species of saltmarsh and mudflats in Ireland. It spreads quickly and can form extensive meadows, which can lead to the extinction of native plant and animal species. Traditional ground-based field surveys would be expensive for the scale of monitoring needed to formulate site-specific management strategies. Advanced mapping techniques, such as Unoccupied Aerial Vehicle (UAV) remote sensing and deep learning (DL), offer an opportunity to automatically map invasive species’ occurrence. However, training a DL model requires lots of labelled data which can be prohibitively difficult and expensive to obtain. We implemented a DL semantic segmentation technique on UAV imagery of Spartina-invaded habitats and tested a range of hyperparameters—model architectures, encoder backbones and input image patch sizes—to determine an effective segmentation network structure. We also investigated applying data augmentation and pseudo-labelling techniques to increase the size of the labelled dataset. U-Net architecture with Inception-v3 as its backbone trained on 128 × 128-pixel image patches offered the best model performance: mean Intersection-Over-Union (mIOU) score = 0.832. The model trained on the combined augmented and pseudo-labelled data achieved an mIOU score of 0.712 on a test dataset, while there was a decrease of 0.158 in model performance when only the original labelled data were used. This result suggests the potential for using these techniques in creating more robust models. The proposed methodology demonstrates that the combination of UAV imagery and deep learning could be a promising tool for mapping the distribution of invasive plant species.

Drivers, predictors, and probabilities of plant extinctions in South Africa

Understanding how and why plants are driven to extinction is important if future extinctions are to be prevented. Here we examined reasons for extinctions of plants using data from the South African Red List, which includes 33 Extinct taxa from 15 families and 24 genera including seven infraspecific taxa. We also compared Extinct taxa with those that are threatened and not-threatened, exploring predictors of extinction based on traits, distribution, and anthropogenic threats. Finally, we applied two structured approaches to estimate the probability of extinction—the first uses argument-maps based on threat information and the second is based on survey-effort. We found that most extinctions were recorded in the Cape Floristic Region and were of perennial shrubs. Most taxa recorded as Extinct were only known from one site and are assumed to have been range restricted. Range size was, therefore, unsurprisingly the strongest predictor of extinction. The next strongest predictor was habitat loss. Based on the argument-map approach only 36% of Extinct taxa met an assigned extinction threshold, with most taxa categorised as Critically Endangered Possibly Extinct (50%). Only two taxa had sufficient data to evaluate the survey-effort approach. We support the use of both the argument-map and the survey-effort approaches to evaluate evidence for extinction but caution against strictly applying these methods as the only assessment tools. These approaches provide an evidence-based, quantitative, and well-documented process to support Red List assessments. Furthermore, they highlight knowledge gaps, the value of surveys and the need to improve threat documentation and monitoring. Use of these approaches can improve understanding of species ecology, thereby providing an essential foundation for conservation efforts to prevent extinctions.

Ethnobotanical study on medicinal plants used by Bulang people in Yunnan, China

BackgroundDespite the popularity of modern medicine, medicinal plants remain a cornerstone of treatment for numerous diseases, particularly among ethnic groups and tribal communities around the globe. Ethnomedicine offers advantages such as ease of use, convenience, and economic benefits. Medicinal plant knowledge within Bulang ethnic community of southwest China is a valuable complement to Chinese ethnomedicine systems. Accumulated medical knowledge is due to the extensive length of occupation by Bulang People, considered the earliest inhabitants of Xishuangbanna; this has resulted in the development of various traditional treatment methods with local characteristics and unique curative effects. Therefore, there is exceeding value in exploring the medical knowledge of Bulang.MethodsA total of 175 local informants participated in the interviews and distribution of questionnaires in 10 Bulang villages in Menghai County, Xishuangbanna Prefecture, Yunnan Province, China. We documented the community of Bulang's use of medicinal herbs, and we used both the informant consensus factor (ICF) and use value (UV) methodologies to analyze the data. Furthermore, we conducted a comparative study to explore the potential of Bulang traditional medicine by comparing it to traditional Dai medicine.ResultsThe study recorded 60 medicinal plant species belonging to 41 families and 59 genera, including 22 species of herb, 22 species of shrub, nine species of trees, and seven species of liana. Araceae, Compositae, Lamiaceae and Leguminosae were found to have the highest number of species. The affordability and cultural heritage of Bulang medicine make it advantageous, Investigated Informants report that increased usage of Western medicine (88%), less availability of herbal medicine (95.43%), and the reduction in medicinal plant resources (80.57%) pose significant threats to Bulang medicine. All Bulang medicinal plants are naturally grown, with only 22 per cent being cultivated. Camellia sinensis (0.94) and Zingiber officinale (0.89) showed the highest UV values, while the function of Phyllanthus emblica L. and Houttuynia cordata Thunb. were also noted. The ICF revealed digestive system related diseases were the most commonly treated, with conditions of the motor system using the highest number of plant species. Finally, a comparison with traditional Dai medicine determined that 22 plants (36.67%) of the 60 surveyed had higher medicinal value in Bulang medicine.ConclusionBulang communities primarily source medicinal plants from the wild. Should environmental damage lead to the extinction of these medicinal plants, it could result in a shift toward modern Western medicine as a preferred medical treatment. Bulang ethnomedicine is a vital supplement to China's traditional medicine, particularly aspects of ethnic medicine relevant to daily life. Future research should emphasize inter-ethnic medical studies to reveal the untapped potential of medicinal plants.

A preliminary assessment of faunal mortality on a road through Mannur Reserve Forest, Kanchipuram, Tamil Nadu, India

Many studies have shown that anthropological acts driven by human demands have led to the extinction of numerous plant and animal species, or have put them in danger of becoming extinct. Deforestation is a serious occurrence that damages the ecosystem permanently, reduces biodiversity, and interferes with an entire ecological niche's capacity to function. Evidence on the causes and impacts of vehicle mobility in a forest reserve area is provided by the present research. Animal mortality was shown to be higher during the lockdown with traffic relaxation and somewhat lower during the lockdown without relaxation. The present study shows how unregulated automobile access into the Mannur Protected Forest results in significant faunal fatalities. The state has to be persuaded to exclusively adopt Good Environmental Practices (GEP) while constructing roads through the forest, and the appropriate authorities must keep an eye on the movement of automobiles through the remote forest zone.

Environmental impact screening for urban land use transitions - a perspective from developing a hill land development in Penang Island and shaping community acceptance

The current rate of urbanisation is unprecedented in human history, particularly in Malaysia’s densely populated areas. Natural constraints and hazards are frequently ignored in this informal and sprawling urban growth, exposing the population to these hazards. Deforestation, water catchment loss, extinction of protected species and plants, soil erosion, landslides, water pollution, sedimentation, and downstream flooding have all resulted from inadequate environmental mitigation. Hence, this research quantifies and assesses the environmental and social impacts of hill land development on the affected areas. The community’s opinion on such growth and environmental mitigation measures will be assessed and evaluated at a study site on Penang Island, Malaysia. Environmental Impact Screening (EIS) was conducted by distributing questionnaires to affected residents and businesses, with 69 respondents. Descriptive statistical analysis was performed using the Statistical Package (SPSS), followed by a thorough elaboration on the pros and cons of expanding this steep land by considering social, economic, and environmental consequences. From the evaluation, most respondents were opposed to hill land development that can harmed community’s ecosystem. As a result, numerous efforts have been made to reduce community and environmental impacts. This study enables stakeholders to assess the environmental impacts from this type of developments and conduct necessary steps to mitigate or eliminate them.

Hidden functional complexity in the flora of an early land ecosystem.

The first land ecosystems were composed of organisms considered simple in nature, yet the morphological diversity of their flora was extraordinary. The biological significance of this diversity remains a mystery largely due to the absence of feasible study approaches. To study the functional biology of Early Devonian flora, we have reconstructed extinct plants from fossilised remains in silico. We explored the morphological diversity of sporangia in relation to their mechanical properties using finite element method. Our approach highlights the impact of sporangia morphology on spore dispersal and adaptation. We discovered previously unidentified innovations among early land plants, discussing how different species might have opted for different spore dispersal strategies. We present examples of convergent evolution for turgor pressure resistance, achieved by homogenisation of stress in spherical sporangia and by torquing force in Tortilicaulis-like specimens. In addition, we show a potential mechanism for stress-assisted sporangium rupture. Our study reveals the deceptive complexity of this seemingly simple group of organisms. We leveraged the quantitative nature of our approach and constructed a fitness landscape to understand the different ecological niches present in the Early Devonian Welsh Borderland flora. By connecting morphology to functional biology, these findings facilitate a deeper understanding of the diversity of early land plants and their place within their ecosystem.

Achieving zero extinction for land plants.

Despite the importance of plants for humans and the threats to their future, plant conservation receives far less support compared with vertebrate conservation. Plants are much cheaper and easier to conserve than are animals, but, although there are no technical reasons why any plant species should become extinct, inadequate funding and the shortage of skilled people has created barriers to their conservation. These barriers include the incomplete inventory, the low proportion of species with conservation status assessments, partial online data accessibility, varied data quality, and insufficient investment in both in and ex situ conservation. Machine learning, citizen science (CS), and new technologies could mitigate these problems, but we need to set national and global targets of zero plant extinction to attract greater support.

Active community for climate change: a Dynamic Performance Governance analysis of a biodiversity preservation program

PurposeThis study aims to illustrate how collaborative platforms may leverage active community for climate change adaptation to implement biodiversity preservation policies.Design/methodology/approachThis study adopts the Dynamic Performance Governance methodological framework to analyze the causal relationships affecting biodiversity preservation policy outcomes.FindingsActive community reduces harmful factors for biodiversity (i.e. biological threats and anthropogenic pressure), limiting the risk of extinction of perennial plants. Stakeholders’ prior knowledge is an enabling condition of climate adaptation processes as it triggers the adoption of prescriptions and cultural changes in a community.Practical implicationsThe study provides methodological guidance to define measures to deliver material information to support environmental performance governance. It elaborates an inventory of short- and long-term performance indicators integrating natural-science targets into accounting measures that can support policymakers operating in other contexts to implement climate change adaptation policies.Social implicationsAs a response to the study findings, social implications provide insights into how active community in collaborative platforms for climate change may support stakeholders to address natural resources imbalances, define strategies to share the burden among them and intervene on multiple policy domains (e.g. financial, environmental and social).Originality/valueClimate change adaptation challenges are conceptualized as “super wicked problems,” and the collaborative platforms designed to address them are rendered as complex adaptive systems. This makes the paper go beyond traditional environmental governance, demonstrating that stakeholders’ interactions within collaborative platforms harness active community specialized knowledge.

Curculigo Species: A Wide Spectrum Research Review

Tropical regions of Asia, Africa, Australia, and the Americas are rich with Curculigo species belongs to family Hypoxidaceae. There are six species are reported of Curculigo, out of which, Curculigo orchioides (Gaertn.), is the most popular medicinally used species and commonly known as ‘kali musali’. Curculigo rhizome has been used for management for different ailments including for impotency, joint pain related problems, and diarrhoea in Chinese medicine and also used as a powerful immune-modulator with aphrodisiac property in the old traditional medical system. Present review covers the various aspects of Curculigo genus such as cultivation, phytochemical, pharmacognosy and biotechnological. After reviewing the medicinal value of Curculigo species, it can be concluded that the plant having tremendous potential for wide spectrum management of enormous diseases. The bioactive compound can be isolated and characterized for giving a model system for development of new drug hence this review will be useful for new drug discovery. The molecular aspect of the review will be helpful to identify the genuine plant material, which will be further used for development of novel herbal medicines. The illustration of Biotechnological approaches will be immensely applicable to develop new protocol for micro-propagation of this valuable and extinct plant species. The new and economically feasible technique for curculigoside extraction can be developed after knowing the basic knowledge of phytochemicals of this plant and will be given a source of entrepreneurship and empowerment of tribals. The developed technology for characterization and identification of bioactive principals of Curculigo species, will be useful for herbal based pharma industry, thus this review could be a mean to attain whole picture of Curculigo genus.

A Systems Approach to Understanding How Plants Transformed Earth's Environment in Deep Time

Terrestrial plants have transformed Earth's surface environments by altering water, energy, and biogeochemical cycles. Studying vegetation-climate interaction in deep time has necessarily relied on modern-plant analogs to represent paleo-ecosystems—as methods for reconstructing paleo- and, in particular, extinct-plant function were lacking. This approach is potentially compromised given that plant physiology has evolved through time, and some paleo-plants have no clear modern analog. Advancements in the quantitative reconstruction of whole-plant function provide new opportunities to replace modern-plant analogs and capture age-specific vegetation-climate interactions. Here, we review recent investigations of paleo-plant performance through the integration of fossil and geologic data with process-based ecosystem- to Earth system–scale models to explore how early vascular plants responded to and influenced climate. First, we present an argument for characterizing extinct plants in terms of ecological and evolutionary theory to provide a framework for advancing reconstructed vegetation-climate interactions in deep time. We discuss the novel mechanistic understanding provided by applying these approaches to plants of the late Paleozoic ever-wet tropics and at higher latitudes. Finally, we discuss preliminary applications to paleo-plants in a state-of-the-art Earth system model to highlight the potential implications of different plant functional strategies on our understanding of vegetation-climate interactions in deep time. ▪For hundreds of millions of years, plants have been a keystone in maintaining the status of Earth's atmosphere, oceans, and climate.▪Extinct plants have functioned differently across time, limiting our understanding of how processes on Earth interact to produce climate.▪New methods, reviewed here, allow quantitative reconstruction of extinct-plant function based on the fossil record.▪Integrating extinct plants into ecosystem and climate models will expand our understanding of vegetation's role in past environmental change.

Quantifying Endangerment Value: a Promising Tool to Support Curation Decisions

Botanic garden collections are increasingly seeking to quantify and improve the value of their collections for science, horticulture, conservation and other uses. Quantifying the value of a collection depends on the mission of the institution. Many botanic gardens are prioritising the conservation of rare and threatened species towards preventing plant extinctions. In doing so, botanic gardens must make decisions about which plants should remain, be replaced or be added to their collections, and how to allocate staff and resources to care for individual plants, while considering funding and space limits. So, how can curators make the biggest impact towards conserving plant species? We present a promising method to quantitatively assess which plant species might be higher or lower conservation priority to an ex situ collection, using what we term ‘endangerment value’ – the value of collections for preventing plant extinction. We apply this method to four genera of high importance at The Morton Arboretum and showcase advantages of this approach as well as pitfalls. We found this method useful for priority setting, but note that the inclusion and exclusion of different data and how they are weighted impacts the ranking of priority species – an important lesson for any prioritisation method. We hope this method will inspire and help other botanic gardens to evaluate their current and future endangerment value and set priorities for maintaining and growing ex situ collections globally.

Prioritize grassland restoration to bend the curve of biodiversity loss

In times of unprecedented climate change, ecological restoration efforts have a strong focus on forests for the purpose of carbon sequestration. Grasslands, in contrast, remain relatively neglected in global restoration policies. Concurrently, we are in the midst of a biodiversity crisis—it is estimated that 1 million species are globally threatened with extinction. Here, we present analyses from central Europe and southern Brazil that show that the majority of our endangered plant species are in fact found in open ecosystems. Using Germany as an example, we show that we could reduce plant extinction risk by up to 82% if we restore open, grassy ecosystems. This also holds true for southern Brazil, where grassland species constitute the single largest share of endangered species, but where grassy ecosystems continue to be systematically neglected by restoration policies. We further expand on our biodiversity argument to include the role that grassland restoration can play in mitigating climate change. We posit that ramping up grassland restoration efforts may not only be our best bet to bend the curve of biodiversity loss, but it will also make a critical contribution to the resilience of ecosystems in the dynamic decades to come. It is time for grassland restoration to receive higher priority in global restoration efforts and policy.

Proposal of Christiangramia gen. nov., Neomelitea gen. nov. and Nicoliella gen. nov. as replacement names for the illegitimate prokaryotic generic names Gramella Nedashkovskaya et al. 2005, Melitea Urios et al. 2008 and Nicolia Oliphant et al. 2022, respectively.

The prokaryotic generic names Gramella Nedashkovskaya et al. 2005, Melitea Urios et al. 2008 and Nicolia Oliphant et al. 2022 are illegitimate because they are later homonyms of the names Gramella Kozur 1971, a genus of fossil ostracods, Melitea Péron and Lesueur 1810 (Scyphozoa, Cnidaria), Melitea Lamouroux 1812 (Anthozoa, Cnidaria), Nicolia Unger 1842, an extinct plant genus, and Nicolia Gibson-Smith and Gibson-Smith 1979 (Bivalvia, Mollusca), respectively (Principle 2 and Rule 51b(4) of the International Code of Nomenclature of Prokaryotes). For Gramella, we therefore propose the replacement generic name Christiangramia with type species Christiangramia echinicola comb. nov. and we propose the reclassification of 18 other species of Gramella in the genus Christiangramia as new combinations. In addition, we propose the replacement generic names Neomelitea with type species Neomelitea salexigens comb. nov. and Nicoliella with type species Nicoliella spurrieriana comb. nov.