98 research outputs found
Short stories from Sphagnum of rare species, taxonomy, and speciation
Conserving species and their genetic variation are a global priority to safeguard evolu-tionary potential in a rapidly changing world. Species are fundamental units in research and nature management, but taxonomic work is increasingly undermined. Increasing knowledge on the species genetic diversity would aid in prioritizing conservation ef -forts. Sphagnum is a diverse, well- known bryophyte genus, which makes the genus suited to study speciation and cryptic variation. The species share specific character-istics and can be difficult to separate in the field. By combining molecular data with thorough morphological examination, new species have recently been discovered. Still, there are taxonomic uncertainties, even for species assessed on the IUCN Red List of threatened species. Here, we use molecular data to examine three rare species within the subgenus Acutifolia described based on morphological characters. All spe -cies have narrow distributions and limited dispersability. First, we confirm the genetic origin of S. skyense. Second, we show that S. venustum is a haploid species genetically distinct from morphologically similar species. Lastly, S. nitidulum was found to have a distinct haplotype, but cannot be genetically separated from other red Acutifoliaspecies. We also found high genetic variation within red Acutifolia specimens, indicat -ing the need of further morphological examination and possibly taxonomic revision. Until then, our results have shown that genetic data can aid in prioritizing targets of conservation efforts when taxonomy is unresolved. All three taxa should be further searched for by field biologists to increase knowledge about their distribution ranges. genetic structure, microsatellites, molecular data, morphology, peatmosses, speciation, species identification, TaxonomypublishedVersio
Assessing the effect of mitigation efforts to improve vegetation recovery inpowerline construction sites across Norway
Land-use related to technical infrastructure puts great pressure on nature and landscapes globally. We used a screening approach to evaluate vegetation development in 295 construction sites related to upkeeping of the national power grid in Norway and assessed if and how active measures for vegetation recovery can contribute to mitigate negative impacts on biodiversity and natural carbon storage. Bayesian networks were developed to assess the effect of interventions on the vegetation cover, and an ensemble learning algorithm (Boruta) was used to assess variable importance. Multivariate analysis was run to investigate plant functional group composition. The screening approach uncovered some broad results; A large diversity of installation types are associated with gridline-systems, and the large variation of mitigation measures are hard to classify and evaluate. Years since restoration, region and site ID were important to explain the total vegetation cover, while restoration treatment, soil and installation type were not important. Graminoids dominate the total vegetation cover, in both seeded and non-seeded sites. More detailed studies will contribute to more accurate evaluation of different measures and vegetation recovery. Lack of documentation and well-designed monitoring hamper the development of reliable procedures of mitigation in construction projects, as the ecological outcome of the efforts can be questioned.e efforts of municipalities and tour operators to develop sustainable local nature-based tourism products, particularly in remote areas. Construction sites Evaluation Land-use Mitigation Revegetation Vegetation coverpublishedVersio
Sphagnum magniporosum (Sphagnaceae, subgenus Subsecunda) a new peatmoss species from Venezuela
Publisher Copyright: © 2022 The Authors. This is an Open Access article.We describe Sphagnum magniporosum sp. nov. in Sphagnum subgen. Subsecunda (Sphagnaceae) Bryophyta. The new species is described and characterized using morphological methods. The description is based on qualitative examination of morphological characters of shoots, stems, branches and leaves. The new peatmoss is known from a single locality at a tabletop (tepui) mountain in the Chimantá Massif, Canima National Park in the state Bolívar of Venezuela. The morphology of the species is compared and evaluated using keys, descriptions and illustrations of ten South American and one African Subsecunda species.Peer reviewe
Quantifying and mapping species threat abatement opportunitiesto support national target setting
The successful implementation of the Convention on Biological Diversity’s post-2020Global Biodiversity Framework will rely on effective translation of targets from global tonational level and increased engagement across diverse sectors of society. Species conserva-tion targets require policy support measures that can be applied to a diversity of taxonomicgroups, that link action targets to outcome goals, and that can be applied to both global andnational data sets to account for national context, which the species threat abatement andrestoration (STAR) metric does. To test the flexibility of STAR, we applied the metric to vascular plants listed on national red lists of Brazil, Norway, and South Africa. The STARmetric uses data on species’ extinction risk, distributions, and threats, which we obtainedfrom national red lists to quantify the contribution that threat abatement and habitatrestoration activities could make to reducing species’ extinction risk. Across all 3 coun-tries, the greatest opportunity for reducing plant species’ extinction risk was from abatingthreats from agricultural activities, which could reduce species’ extinction risk by 54% inNorway, 36% in South Africa, and 29% in Brazil. Species extinction risk could be reducedby a further 21% in South Africa by abating threats from invasive species and by 21% inBrazil by abating threats from urban expansion. Even with different approaches to red-listing among countries, the STAR metric yielded informative results that identified wherethe greatest conservation gains could be made for species through threat-abatement andrestoration activities. Quantifiably linking local taxonomic coverage and data collection toglobal processes with STAR would allow national target setting to align with global targetsand enable state and nonstate actors to measure and report on their potential contributionsto species conservation. habitat restoration, national red lists, species’ extinction risk, threat reduction, threatened species, vascular plantspublishedVersio
GrassPlot - a database of multi-scale plant diversity in Palaearctic grasslands
GrassPlot is a collaborative vegetation-plot database organised by the Eurasian Dry Grassland Group (EDGG) and listed in the Global Index of Vegetation-Plot Databases (GIVD ID EU-00-003). GrassPlot collects plot records (releves) from grasslands and other open habitats of the Palaearctic biogeographic realm. It focuses on precisely delimited plots of eight standard grain sizes (0.0001; 0.001;... 1,000 m(2)) and on nested-plot series with at least four different grain sizes. The usage of GrassPlot is regulated through Bylaws that intend to balance the interests of data contributors and data users. The current version (v. 1.00) contains data for approximately 170,000 plots of different sizes and 2,800 nested-plot series. The key components are richness data and metadata. However, most included datasets also encompass compositional data. About 14,000 plots have near-complete records of terricolous bryophytes and lichens in addition to vascular plants. At present, GrassPlot contains data from 36 countries throughout the Palaearctic, spread across elevational gradients and major grassland types. GrassPlot with its multi-scale and multi-taxon focus complements the larger international vegetationplot databases, such as the European Vegetation Archive (EVA) and the global database " sPlot". Its main aim is to facilitate studies on the scale-and taxon-dependency of biodiversity patterns and drivers along macroecological gradients. GrassPlot is a dynamic database and will expand through new data collection coordinated by the elected Governing Board. We invite researchers with suitable data to join GrassPlot. Researchers with project ideas addressable with GrassPlot data are welcome to submit proposals to the Governing Board
- …