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    Plant conservation assessment at scale: Rapid triage of extinction risks
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    Abstract:
    Societal Impact Statement The current rate of global biodiversity loss creates a pressing need to increase efficiency and throughput of extinction risk assessments in plants. We must assess as many plant species as possible, working with imperfect knowledge, to address the habitat loss and extinction threats of the Anthropocene. Using the biodiversity database, Botanical Information and Ecology Network (BIEN), and the Andropogoneae grass tribe as a case study, we demonstrate that large‐scale, preliminary conservation assessments can play a fundamental role in accelerating plant conservation pipelines and setting priorities for more in‐depth investigations. Summary The International Union for the Conservation of Nature (IUCN) Red List criteria are widely used to determine extinction risks of plant and animal life. Here, we used The Red List's criterion B, Geographic Range Size, to provide preliminary conservation assessments of the members of a large tribe of grasses, the Andropogoneae, with ~1100 species, including maize, sorghum, and sugarcane and their wild relatives. We used georeferenced occurrence data from the Botanical Information and Ecology Network (BIEN) and automated individual species assessments using ConR to demonstrate efficacy and accuracy in using time‐saving tools for conservation research. We validated our results with those from the IUCN‐recommended assessment tool, GeoCAT. We discovered a remarkably large gap in digitized information, with slightly more than 50% of the Andropogoneae lacking sufficient information for assessment. ConR and GeoCAT largely agree on which taxa are of least concern (>90%) or possibly threatened (<10%), highlighting that automating assessments with ConR is a viable strategy for preliminary conservation assessments of large plant groups. Results for crop wild relatives are similar to those for the entire dataset. Increasing digitization and collection needs to be a high priority. Available rapid assessment tools can then be used to identify species that warrant more comprehensive investigation.
    Keywords:
    Extinction (optical mineralogy)
    Data deficient
    Abstract Despite being central to the implementation of conservation policies, the usefulness of the International Union for Conservation of Nature (IUCN) Red List of Threatened Species is hampered by the 14% of species classified as data‐deficient (DD) because information to evaluate these species’ extinction risk was lacking when they were last assessed or because assessors did not appropriately account for uncertainty. Robust methods are needed to identify which DD species are more likely to be reclassified in one of the data‐sufficient IUCN Red List categories. We devised a reproducible method to help red‐list assessors prioritize reassessment of DD species and tested it with 6887 DD species of mammals, reptiles, amphibians, fishes, and Odonata (dragonflies and damselflies). For each DD species in these groups, we calculated its probability of being classified in a data‐sufficient category if reassessed today from covariates measuring available knowledge (e.g., number of occurrence records or published articles available), knowledge proxies (e.g., remoteness of the range), and species characteristics (e.g., nocturnality); calculated change in such probability since last assessment from the increase in available knowledge (e.g., new occurrence records); and determined whether the species might qualify as threatened based on recent rate of habitat loss determined from global land‐cover maps. We identified 1907 species with a probability of being reassessed in a data‐sufficient category of >0.5; 624 species for which this probability increased by >0.25 since last assessment; and 77 species that could be reassessed as near threatened or threatened based on habitat loss. Combining these 3 elements, our results provided a list of species likely to be data‐sufficient such that the comprehensiveness and representativeness of the IUCN Red List can be improved.
    Data deficient
    Extinction (optical mineralogy)
    Conservation-dependent species
    Global biodiversity
    Citations (21)
    The solution of transnational environmental problems in the field of the protection of threatened species and conservation biology directly depends on the level of international communication, which can significantly decrease due to differences in Red Lists and Red Data Books of different levels. In order to identify the similarities and differences in approaches to the assessment of national Red Lists and Books of the Baltic Sea region countries (Russia, Denmark, Germany, Lithuania, Finland, Poland and Sweden) with the IUCN Red List, a comparative analysis was carried out. It was determined that the level of discrepancy between Red Data Lists and Books varies considerably, with differences in the scales of species categories, species lists and categories. Most of the threatened species at the national level are not listed under the IUCN Red List, while species in a more stringent category at the national level prevail (37% and 3% on average, respectively). However, national Red Lists and Red Data Books do not take into account the global trend of the risk of extinction of species. The percentage of species with insufficient information to define a category at the national or global level ranges from 6% to 28%. These discrepancies make it difficult to exchange data on threatened species and create a unified database with information on protected species at different levels and, therefore, reduce the effectiveness of biodiversity conservation activities at regional and international levels. The results also demonstrate that countries have an international responsibility to conserve a species, and the cases identified can provide useful additional information to guide a national conservation strategy.
    Conservation-dependent species
    Data deficient
    Global biodiversity
    Extinction (optical mineralogy)
    Citations (1)
    Abstract Many thousands of plant species remain unknown to science, most being range-restricted and/or rare – both factors that increase extinction risk. Here, we show that more than 75% of species described after 2020 would qualify as threatened if assessed for the IUCN Red List. We recommend that newly described species are assumed to be threatened and encourage taxonomists to partner with assessors at the time of description to formally evaluate the extinction risk of new species using the IUCN Red List Categories and Criteria.
    Conservation-dependent species
    Extinction (optical mineralogy)
    Abstract Many thousands of plant species remain unknown to science, most being range-restricted and/or rare – both factors that increase extinction risk. Here, we show that more than 75% of species described after 2020 would qualify as threatened if assessed for the IUCN Red List. We recommend that newly described species are assumed to be threatened and encourage taxonomists to partner with assessors at the time of description to formally evaluate the extinction risk of new species using the IUCN Red List Categories and Criteria.
    Extinction (optical mineralogy)
    Conservation-dependent species
    <p><em>Cryptocoryne cognata</em> Schott is a threatened species distributed in the entire Konkan stretch covering Goa, Karnataka and Maharashtra. It was rediscovered in 1990 after not being documented for one and half centuries. The data concerning its morphology, distribution and ecological preferences are presented in this paper in order to contribute to the Global Strategy for Plant Conservation (GSPC) goals and to assist taxonomists in assessing and protecting this species from extinction in future. </p><div> </div>
    Araceae
    Extinction (optical mineralogy)
    Data deficient
    Abstract The IUCN Red List (RL) provides high-quality conservation assessments for individual species, yet the rate and scale of environmental deterioration globally challenges the conservation community to develop expedited methods for risk assessment. Here we compare threat assessments for 3,001 species of Neotropical freshwater fishes (NFF) in the IUCN–RL using readily accessible data types as proxies for extinction risk: geographic range, elevation, and species publication date. Furthermore, using geographic and taxonomic data alone, we generated preliminary conservation assessments for 2,334 NFF species currently awaiting IUCN assessment, identifying an additional 671 NFF species as potentially threatened. This number of potentially threatened species represents an increase of 59% over the number of species currently assigned to threat categories by the IUCN–RL. These results substantially expand the number of threatened NFF species from 422 currently on the IUCN RL to 1,093 species as threatened or potentially threatened, representing about 18% of all NFF species. Extinction risk is greater in species with smaller geographic ranges, which inhabit upland rivers, and which were described more recently. We propose the Central and Southern Andes, and Eastern Guiana Shield as priorities in the upcoming IUCN RL assessment of NFF species conservation risk.
    Conservation-dependent species
    Data deficient
    Extinction (optical mineralogy)
    Citations (17)