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      Biodiversidata: A novel dataset for the vascular plant species diversity in Uruguay

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          Abstract

          Background

          South America hosts some of the world’s most prominent biodiversity hotspots. Yet, Uruguay – a country where multiple major ecosystems converge – ranks amongst the countries with the lowest levels of available digital biodiversity data in the continent. Such prevalent data scarcity has significantly undermined our ability to progress towards evidence-based conservation actions – a critical limitation for a country with a strong focus on agricultural industries and only 1.3% of the land surface guarded by protected areas. Under today’s rapid biodiversity loss and environmental changes, the need for open-access biodiversity data is more pressing than ever before. To address this national issue, Biodiversidata – Uruguay’s first Consortium of Biodiversity Data – has recently emerged with the aim of assembling a constantly growing database for the biodiversity of this country. While the first phase of the project targeted vertebrate biodiversity, the second phase presented in this paper spans the biodiversity of plants.

          New information

          As part of the second phase of the Biodiversidata initiative, we present the first comprehensive open-access species-level database of the vascular plant diversity recorded in Uruguay to date (i.e. all species for which data are currently available and species presence has been confirmed). It contains 12,470 occurrence records from across 1,648 species and 160 families, which roughly represents 60% of the total recorded flora of Uruguay. The primary biodiversity data include extant native and introduced species from the lycophytes, ferns, gymnosperms and angiosperms groups. Records were collated from multiple sources, including data available in peer-reviewed scientific literature, institutional scientific collections and datasets contributed by members of the Biodiversidata initiative. The complete database can be accessed at the Zenodo repository: doi.org/10.5281/zenodo.3954406

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          Most cited references60

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          The FAIR Guiding Principles for scientific data management and stewardship

          There is an urgent need to improve the infrastructure supporting the reuse of scholarly data. A diverse set of stakeholders—representing academia, industry, funding agencies, and scholarly publishers—have come together to design and jointly endorse a concise and measureable set of principles that we refer to as the FAIR Data Principles. The intent is that these may act as a guideline for those wishing to enhance the reusability of their data holdings. Distinct from peer initiatives that focus on the human scholar, the FAIR Principles put specific emphasis on enhancing the ability of machines to automatically find and use the data, in addition to supporting its reuse by individuals. This Comment is the first formal publication of the FAIR Principles, and includes the rationale behind them, and some exemplar implementations in the community.
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            Ecological and Evolutionary Responses to Recent Climate Change

            Ecological changes in the phenology and distribution of plants and animals are occurring in all well-studied marine, freshwater, and terrestrial groups. These observed changes are heavily biased in the directions predicted from global warming and have been linked to local or regional climate change through correlations between climate and biological variation, field and laboratory experiments, and physiological research. Range-restricted species, particularly polar and mountaintop species, show severe range contractions and have been the first groups in which entire species have gone extinct due to recent climate change. Tropical coral reefs and amphibians have been most negatively affected. Predator-prey and plant-insect interactions have been disrupted when interacting species have responded differently to warming. Evolutionary adaptations to warmer conditions have occurred in the interiors of species' ranges, and resource use and dispersal have evolved rapidly at expanding range margins. Observed genetic shifts modulate local effects of climate change, but there is little evidence that they will mitigate negative effects at the species level.
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              Biodiversity hotspots for conservation priorities.

              Conservationists are far from able to assist all species under threat, if only for lack of funding. This places a premium on priorities: how can we support the most species at the least cost? One way is to identify 'biodiversity hotspots' where exceptional concentrations of endemic species are undergoing exceptional loss of habitat. As many as 44% of all species of vascular plants and 35% of all species in four vertebrate groups are confined to 25 hotspots comprising only 1.4% of the land surface of the Earth. This opens the way for a 'silver bullet' strategy on the part of conservation planners, focusing on these hotspots in proportion to their share of the world's species at risk.
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                Author and article information

                Contributors
                Journal
                Biodivers Data J
                Biodivers Data J
                1
                urn:lsid:arphahub.com:pub:F9B2E808-C883-5F47-B276-6D62129E4FF4
                urn:lsid:zoobank.org:pub:245B00E9-BFE5-4B4F-B76E-15C30BA74C02
                Biodiversity Data Journal
                Pensoft Publishers
                1314-2836
                1314-2828
                2020
                26 October 2020
                : 8
                : e56850
                Affiliations
                [1 ] School of Life Sciences, University of Lincoln, Lincoln, United Kingdom School of Life Sciences, University of Lincoln Lincoln United Kingdom
                [2 ] Museo Nacional de Historia Natural, Montevideo, Uruguay Museo Nacional de Historia Natural Montevideo Uruguay
                [3 ] Departamento de Ecología y Gestión Ambiental, Centro Universitario Regional del Este (CURE), Universidad de la República, Maldonado, Uruguay Departamento de Ecología y Gestión Ambiental, Centro Universitario Regional del Este (CURE), Universidad de la República Maldonado Uruguay
                [4 ] Departamento Interdisciplinario de Sistemas Costeros y Marinos, Centro Universitario Regional del Este (CURE), Universidad de la República, Rocha, Uruguay Departamento Interdisciplinario de Sistemas Costeros y Marinos, Centro Universitario Regional del Este (CURE), Universidad de la República Rocha Uruguay
                [5 ] MacroBiodiversity Lab, School of Biological Sciences, Queen’s University Belfast, Belfast, United Kingdom MacroBiodiversity Lab, School of Biological Sciences, Queen’s University Belfast Belfast United Kingdom
                Author notes
                Corresponding authors: Florencia Grattarola ( fgrattarola@ 123456lincoln.ac.uk ), Daniel Pincheira-Donoso ( d.pincheira-donoso@ 123456qub.ac.uk ).

                Academic editor: Gianniantonio Domina

                Author information
                https://orcid.org/0000-0001-8282-5732
                Article
                56850 14369
                10.3897/BDJ.8.e56850
                7606476
                ddc89361-553c-4325-a70d-4092ad37e4ad
                Florencia Grattarola, Andrés González, Patricia Mai, Laura Cappuccio, César Fagúndez-Pachón, Florencia Rossi, Franco Teixeira de Mello, Lucía Urtado, Daniel Pincheira-Donoso

                This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 23 July 2020
                : 27 August 2020
                Page count
                Figures: 3, Tables: 2, References: 68
                Funding
                Funded by: Agencia Nacional de Investigación e Innovación 100008725 http://doi.org/10.13039/100008725
                Categories
                Data Paper (Biosciences)
                Monilophytes
                Angiospermae
                Gymnospermae
                Lycopodiophyta
                Plantae
                Data Management
                Data analysis & Modelling
                Biodiversity & Conservation
                South America
                Uruguay

                species occurrence records,biodiversity data gaps,data mobilisation, tracheophyta ,río de la plata grasslands,south america,uruguay

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