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      A new endangered species of Mollinedia (Monimiaceae, Laurales) endemic to the Atlantic forest in the state of Espírito Santo, Brazil, supported by morphology and genome size estimation

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          Abstract

          Abstract Mollinedia (Monimiaceae) presents numerous microendemic species, and its centre of diversity is in the Brazilian Atlantic rainforest, where more than half of the species occur. The taxonomy of microendemic species can be challenging because their morphological and genetic variations can be interpreted as a response to geographic isolation rather than a circumscription for different species. In this paper, we describe Mollinedia pignalii Lírio & Pauli, a microendemic species from the Espírito Santo state, Brazil. Vegetatively, M. pignalii is similar to Mollinedia elegans Tul. and Mollinedia schottiana (Spreng.) Perkins; however, it presents the following differences: white-puberulous leaves, staminate flowers with a flat receptacle and 6 to 14 stamens, white-puberulous pistillate flowers with a cupuliform receptacle and 8 to 22 carpels, and white-puberulous drupelets. Due to the similarity between the three species, M. pignalii has been collected and deposited in herbaria under different names. Here, we describe the new species based on morphology and genome size, a comparison with similar species, and ecological comments in an integrative approach. We also provide its conservation status and an identification key for the species of Monimiaceae occurring in the state of Espírito Santo.

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          Supporting Red List threat assessments with GeoCAT: geospatial conservation assessment tool

          Abstract GeoCAT is an open source, browser based tool that performs rapid geospatial analysis to ease the process of Red Listing taxa. Developed to utilise spatially referenced primary occurrence data, the analysis focuses on two aspects of the geographic range of a taxon: the extent of occurrence (EOO) and the area of occupancy (AOO). These metrics form part of the IUCN Red List categories and criteria and have often proved challenging to obtain in an accurate, consistent and repeatable way. Within a familiar Google Maps environment, GeoCAT users can quickly and easily combine data from multiple sources such as GBIF, Flickr and Scratchpads as well as user generated occurrence data. Analysis is done with the click of a button and is visualised instantly, providing an indication of the Red List threat rating, subject to meeting the full requirements of the criteria. Outputs including the results, data and parameters used for analysis are stored in a GeoCAT file that can be easily reloaded or shared with collaborators. GeoCAT is a first step toward automating the data handling process of Red List assessing and provides a valuable hub from which further developments and enhancements can be spawned.
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            The number of known plants species in the world and its annual increase

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              Morphological Phylogenetic Analysis of Basal Angiosperms: Comparison and Combination with Molecular Data

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                Author and article information

                Journal
                abb
                Acta Botanica Brasilica
                Acta Bot. Bras.
                Sociedade Botânica do Brasil (Alta Floresta, MT, Brazil )
                0102-3306
                1677-941X
                2023
                : 37
                : e20230174
                Affiliations
                [2] Rio de Janeiro RJ orgnameInstituto de Pesquisa do Jardim Botânico do Rio de Janeiro Brazil
                [3] São Bernardo do Campo São Paulo orgnameUniversidade Federal do ABC orgdiv1Centro de Ciências Naturais e Humanas Brazil
                [5] Belém Pará orgnameInstituto Tecnológico Vale Brazil
                [1] São Paulo São Paulo orgnameUniversidade de São Paulo orgdiv1Instituto de Biociências orgdiv2Departamento de Botânica Brazil
                [4] London orgnameRoyal Botanic Gardens United Kingdom
                Article
                S0102-33062023000100131 S0102-3306(23)03700000131
                10.1590/1677-941x-abb-2023-0174
                2ab02807-b30a-42fc-b760-dce9f2cc8c83

                This work is licensed under a Creative Commons Attribution 4.0 International License.

                History
                : 18 July 2023
                : 11 July 2023
                Page count
                Figures: 0, Tables: 0, Equations: 0, References: 72, Pages: 0
                Product

                SciELO Brazil

                Categories
                Original Article

                Plant conservation,Flora of Brazil,Flora of the state of Espírito Santo,Tropical biodiversity,Endemism

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