Iuliu Morariu

Aim Species occurrence data are valuable information that enables one to estimate geographical distributions, characterize niches and their evolution, and guide spatial conservation planning. Rapid increases in species occurrence data stem from increasing digitization and aggregation efforts, and citizen science initiatives. However, persistent quality issues in occurrence data can impact the accuracy of scientific findings, underscoring the importance of filtering erroneous occurrence records in biodiversity analyses.InnovationWe introduce an R package, occTest, that synthesizes a growing open‐source ecosystem of biodiversity cleaning workflows to prepare occurrence data for different modelling applications. It offers a structured set of algorithms to identify potential problems with species occurrence records by employing a hierarchical organization of multiple tests. The workflow has a hierarchical structure organized in testPhases (i.e. cleaning vs. testing) that encompass different testBlocks grouping different testTypes (e.g. environmental outlier detection), which may use different testMethods (e.g. Rosner test, jacknife,etc.). Four different testBlocks characterize potential problems in geographic, environmental, human influence and temporal dimensions. Filtering and plotting functions are incorporated to facilitate the interpretation of tests. We provide examples with different data sources, with default and user‐defined parameters. Compared to other available tools and workflows, occTest offers a comprehensive suite of integrated tests, and allows multiple methods associated with each test to explore consensus among data cleaning methods. It uniquely incorporates both coordinate accuracy analysis and environmental analysis of occurrence records. Furthermore, it provides a hierarchical structure to incorporate future tests yet to be developed.Main conclusionsoccTest will help users understand the quality and quantity of data available before the start of data analysis, while also enabling users to filter data using either predefined rules or custom‐built rules. As a result, occTest can better assess each record's appropriateness for its intended application.

Carex liparocarpos s. str., die Glanzfrüchtige Segge, wurde durch Albert Oesau im NSG Lennebergwald bei Mainz erstmals sicher für Deutschland nachgewiesen. Der Neufund wird hier areal- und vegetationskundlich eingeordnet und diskutiert. Dabei werden zahlreiche interessante Fakten, aber auch Fragen und Unklarheiten aufgeworfen. Die Art ist nah verwandt mit C. supina, mit der sie oft verwechselt wurde und wird. In der Ukraine ist die Abgrenzung zu C. schkuhrii (Syn. C. liparocarpos subsp. bordzilowskii) unklar. Mit C. turkestanica kommt der engere Verwandtschaftskreis als Subsektion Nitidae bis in mittelasiatische Gebirge vor. Das Hauptareal der Art wird – genauer als bisher – als submediterran-westpannonisch charakterisiert. Azonale Arealbereiche sind durch südatlantische, nordadriatische und pontische Dünenregionen repräsentiert. Mediterran-alpine, isolierte Vorposten wurden in Nordafrika bis auf ca. 30° n. Br. gefunden. In Frankreich gibt es wenige, bis auf ca. 50° n. Br. vorgeschobene, isolierte Vorposten, von denen viele gefährdet bzw. erloschen sind. C. liparocarpos s. str. besiedelt vorrangig neutral-basische Sandsteppen-, Dünen-, Fluss-Schotter- und Felserosionsstandorte und ist u. a. typisch für die Festucetalia vaginatae, Festucetalia valesiacae, Artemisio albae-Brometalia erecti, Scorzoneretalia villosae, Trachynietalia (Brachypodietalia) distachyi, Ononidetalia striatae und Artemisio-Koelerietalia. Auf Grundlage der gewonnenen Gesamtübersicht zu Verbreitung und Habitatbindung wird der Einbürgerungsstatus des Neufundes bewertet. Nach dem derzeitigem floristischen Kenntnisstand erscheint eine neophytische Einschleppung wahrscheinlich – ist aber nicht zwingend anzunehmen, da der Wuchsort in einem für die Art vegetationskundlich nahezu perfekt typischen Lebensraum liegt, der allerdings floristisch gut durchforscht ist.

Abstract. Artemisia, along with Chenopodiaceae, is the dominant component growing in the desert and dry grassland of the Northern Hemisphere. Artemisia pollen with its high productivity, wide distribution, and easy identification is usually regarded as an eco-indicator for assessing aridity and distinguishing grassland from desert vegetation in terms of the pollen relative abundance ratio of Chenopodiaceae/Artemisia (C/A). Nevertheless, divergent opinions on the degree of aridity evaluated by Artemisia pollen have been circulating in the palynological community for a long time. To solve the confusion, we first selected 36 species from nine clades and three outgroups of Artemisia based on the phylogenetic framework, which attempts to cover the maximum range of pollen morphological variation. Then, sampling, experiments, photography, and measurements were taken using standard methods. Here, we present pollen datasets containing 4018 original pollen photographs, 9360 pollen morphological trait measurements, information on 30 858 source plant occurrences, and corresponding environmental factors. Hierarchical cluster analysis on pollen morphological traits was carried out to subdivide Artemisia pollen into three types. When plotting the three pollen types of Artemisia onto the global terrestrial biomes, different pollen types of Artemisia were found to have different habitat ranges. These findings change the traditional concept of Artemisia being restricted to arid and semi-arid environments. The data framework that we designed is open and expandable for new pollen data of Artemisia worldwide. In the future, linking pollen morphology with habitat via these pollen datasets will create additional knowledge that will increase the resolution of the ecological environment in the geological past. The Artemisia pollen datasets are freely available at Zenodo (https://doi.org/10.5281/zenodo.6900308; Lu et al., 2022).

Climate change causes environmental variation worldwide, which is one of the most serious threats to global food security. In addition, more than 2 billion people in the world are reported to suffer from serious malnutrition, referred to as ‘hidden hunger.’ Dependence on only a few crops could lead to the loss of genetic diversity and high fragility of crop breeding in systems adapting to global scale climate change. The exploitation of underutilized species and genetic resources, referred to as orphan crops, could be a useful approach for resolving the issue of adaptability to environmental alteration, biodiversity preservation, and improvement of nutrient quality and quantity to ensure food security. Moreover, the use of these alternative crops will help to increase the human health benefits and the income of farmers in developing countries. In this review, we highlight the potential of orphan crops, especially amaranths, for use as vegetables and health-promoting nutritional components. This review highlights promising diversified sources of amaranth germplasms, their tolerance to abiotic stresses, and their nutritional, phytochemical, and antioxidant values for vegetable purposes. Betalains (betacyanins and betaxanthins), unique antioxidant components in amaranth vegetables, are also highlighted regarding their chemodiversity across amaranth germplasms and their stability and degradation. In addition, we discuss the physiological functions, antioxidant, antilipidemic, anticancer, and antimicrobial activities, as well as the biosynthesis pathway, molecular, biochemical, genetics, and genomic mechanisms of betalains in detail.

The Qinghai-Tibetan Plateau (QTP) harbors abundant and diverse plant life owing to its high habitat heterogeneity. However, the distribution pattern of biodiversity hotspots and their conservation status remain unclear. Based on 148,283 high-resolution occurrence coordinates of 13,450 seed plants, w…

Inventories of species recently extinct or threatened with extinction may be found in global databases. However, despite the large number of published fossil based-studies, specific databases on the vulnerability of species in the past are not available. We compiled a worldwide database of published…