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      Madagascar’s extraordinary biodiversity: Threats and opportunities

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      American Association for the Advancement of Science (AAAS)

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          Abstract

          Madagascar’s unique biota is heavily affected by human activity and is under intense threat. Here, we review the current state of knowledge on the conservation status of Madagascar’s terrestrial and freshwater biodiversity by presenting data and analyses on documented and predicted species-level conservation statuses, the most prevalent and relevant threats, ex situ collections and programs, and the coverage and comprehensiveness of protected areas. The existing terrestrial protected area network in Madagascar covers 10.4% of its land area and includes at least part of the range of the majority of described native species of vertebrates with known distributions (97.1% of freshwater fishes, amphibians, reptiles, birds, and mammals combined) and plants (67.7%). The overall figures are higher for threatened species (97.7% of threatened vertebrates and 79.6% of threatened plants occurring within at least one protected area). International Union for Conservation of Nature (IUCN) Red List assessments and Bayesian neural network analyses for plants identify overexploitation of biological resources and unsustainable agriculture as the most prominent threats to biodiversity. We highlight five opportunities for action at multiple levels to ensure that conservation and ecological restoration objectives, programs, and activities take account of complex underlying and interacting factors and produce tangible benefits for the biodiversity and people of Madagascar.

          Protecting Madagascar

          Madagascar has been isolated from mainland Africa and Asia for more than 80 million years and has developed a distinctive flora and fauna, with more than 90% of its species endemic to the island nation. It is also home to the Malagasy people, with a population of about 30 million, and was first colonized by humans around the first century BCE. The island’s biodiverse wildlife is highly threatened, and much of its human population lives below the poverty line. In Reviews, Antonelli et al . and Ralimanana et al . characterize the biological history and diversity of the island and examine conservation status and actions required to protect biodiversity and improve living standards and well-being for the Malagasy people. —SNV

          Abstract

          A review of current knowledge on Madagascar’s biodiversity and its decline indicates an urgent need for inclusive actions.

          Abstract

          BACKGROUND

          Madagascar is one of the world’s foremost biodiversity hotspots. Its unique assemblage of plants, animals, and fungi—the majority of which evolved on the island and occur nowhere else—is both diverse and threatened. After human arrival, the island’s entire megafauna became extinct, and large portions of the current flora and fauna may be on track for a similar fate. Conditions for the long-term survival of many Malagasy species are not currently met because of multiple anthropogenic threats.

          ADVANCES

          We review the extinction risk and threats to biodiversity in Madagascar, using available international assessment data as well as a machine learning analysis to predict the extinction risks and threats to plant species lacking assessments. Our compilation of global International Union for Conservation of Nature (IUCN) Red List assessments shows that overexploitation alongside unsustainable agricultural practices affect 62.1 and 56.8% of vertebrate species, respectively, and each affects nearly 90% of all plant species. Other threats have a relatively minor effect today but are expected to increase in coming decades. Because only one-third (4652) of all Malagasy plant species have been formally assessed, we carried out a neural network analysis to predict the putative status and threats for 5887 unassessed species and to evaluate biases in current assessments. The percentage of plant species currently assessed as under threat is probably representative of actual numbers, except in the case of the ferns and lycophytes, where significantly more species are estimated to be threatened. We find that Madagascar is home to a disproportionately high number of Evolutionarily Distinct and Globally Endangered (EDGE) species. This further highlights the urgency for evidence-based and effective in situ and ex situ conservation.

          Despite these alarming statistics and trends, we find that 10.4% of Madagascar’s land area is protected and that the network of protected areas (PAs) covers at least part of the range of 97.1% of terrestrial and freshwater vertebrates with known distributions (amphibians, freshwater fishes, reptiles, birds, and mammal species combined) and 67.7% of plant species (for threatened species, the percentages are 97.7% for vertebrates and 79.6% for plants). Complementary to this, ex situ collections hold 18% of vertebrate species and 23% of plant species. Nonetheless, there are still many threatened species that do not occur within PAs and are absent from ex situ collections, including one amphibian, three mammals, and seven reptiles, as well as 559 plants and more yet to be assessed. Based on our updated vegetation map, we find that the current PA network provides good coverage of the major habitats, particularly mangroves, spiny forest, humid forest, and tapia, but subhumid forest and grassland-woodland mosaic have very low areas under protection (5.7 and 1.8% respectively).

          OUTLOOK

          Madagascar is among the world’s poorest countries, and its biodiversity is a key resource for the sustainable future and well-being of its citizens. Current threats to Madagascar’s biodiversity are deeply rooted in historical and present social contexts, including widespread inequalities. We therefore propose five opportunities for action to further conservation in a just and equitable way.

          First, investment in conservation and restoration must be based on evidence and effectiveness and be tailored to meet future challenges through inclusive solutions. Second, expanded biodiversity monitoring, including increased dataset production and availability, is key. Third, improving the effectiveness of existing PAs—for example through community engagement, training, and income opportunities—is more important than creating new ones. Fourth, conservation and restoration should not focus solely on the PA network but should also include the surrounding landscapes and communities. And finally, conservation actions must address the root causes of biodiversity loss, including poverty and food insecurity.

          In the eyes of much of the world, Madagascar’s biodiversity is a unique global asset that needs saving; in the daily lives of many of the Malagasy people, it is a rapidly diminishing source of the most basic needs for subsistence. Protecting Madagascar’s biodiversity while promoting social development for its people is a matter of the utmost urgency

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            Array programming with NumPy

            Array programming provides a powerful, compact and expressive syntax for accessing, manipulating and operating on data in vectors, matrices and higher-dimensional arrays. NumPy is the primary array programming library for the Python language. It has an essential role in research analysis pipelines in fields as diverse as physics, chemistry, astronomy, geoscience, biology, psychology, materials science, engineering, finance and economics. For example, in astronomy, NumPy was an important part of the software stack used in the discovery of gravitational waves 1 and in the first imaging of a black hole 2 . Here we review how a few fundamental array concepts lead to a simple and powerful programming paradigm for organizing, exploring and analysing scientific data. NumPy is the foundation upon which the scientific Python ecosystem is constructed. It is so pervasive that several projects, targeting audiences with specialized needs, have developed their own NumPy-like interfaces and array objects. Owing to its central position in the ecosystem, NumPy increasingly acts as an interoperability layer between such array computation libraries and, together with its application programming interface (API), provides a flexible framework to support the next decade of scientific and industrial analysis.
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              WorldClim 2: new 1-km spatial resolution climate surfaces for global land areas

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                Journal
                Science
                Science
                American Association for the Advancement of Science (AAAS)
                0036-8075
                1095-9203
                December 02 2022
                December 02 2022
                : 378
                : 6623
                Affiliations
                [1 ]Royal Botanic Gardens, Kew, Kew Madagascar Conservation Centre, Antananarivo, Madagascar.
                [2 ]Department of Biological and Environmental Sciences, University of Gothenburg, Gothenburg, Sweden.
                [3 ]Gothenburg Global Biodiversity Centre, University of Gothenburg, Gothenburg, Sweden.
                [4 ]Royal Botanic Gardens, Kew, Richmond, Surrey, UK.
                [5 ]UK Centre for Ecology and Hydrology, Wallingford, UK.
                [6 ]School of GeoSciences, University of Edinburgh, Edinburgh, UK.
                [7 ]Royal Botanic Garden Edinburgh, Edinburgh, UK.
                [8 ]Centre for Biodiversity and Environment Research, Department of Genetics, Evolution and Environment, University College London, London, UK.
                [9 ]School of Earth and Environmental Sciences, Cardiff University, Cardiff, Wales, UK.
                [10 ]Department of Organismal Biology, SciLifeLab, Uppsala University, Uppsala, Sweden.
                [11 ]Department of Biology, University of Fribourg, Fribourg, Switzerland.
                [12 ]Missouri Botanical Garden, Madagascar Program, Antananarivo, Madagascar.
                [13 ]CIBIO, Centro de Investigação em Biodiversidade e Recursos Genéticos, InBIO Laboratório Associado, Universidade do Porto, Vairão, Portugal.
                [14 ]Departamento de Biologia, Faculdade de Ciências, Universidade do Porto, Porto, Portugal.
                [15 ]BIOPOLIS Program in Genomics, Biodiversity and Land Planning, CIBIO, Campus de Vairão, Vairão, Portugal.
                [16 ]Missouri Botanical Garden, St. Louis, MO, USA.
                [17 ]Natural History Museum of Denmark, University of Copenhagen, Copenhagen, Denmark.
                [18 ]CR2P, Muséum National d’Histoire Naturelle, Paris, France.
                [19 ]Swiss Institute of Bioinformatics, Fribourg, Switzerland.
                [20 ]Department of Geography, University of Exeter, Exeter, Devon, UK.
                [21 ]Departamento de Botânica e Zoologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brazil.
                [22 ]Integrated Science Lab, Department of Physics, Umeå University, Umeå, Sweden.
                [23 ]Faculty of Natural Sciences, Lúrio University, Pemba, Cabo Delgado Province, Mozambique.
                [24 ]Biology Centre CAS, Institute of Entomology, České Budějovice, Czech Republic.
                [25 ]California Academy of Sciences, San Francisco, CA, USA.
                [26 ]Cambridge University Herbarium, Department of Plant Sciences, University of Cambridge, Cambridge, UK.
                [27 ]Association Vahatra, Antananarivo, Madagascar.
                [28 ]Field Museum of Natural History, Chicago, IL, USA.
                [29 ]Instituto de Biologia, Universidade Estadual de Campinas, Unicamp, Campinas, São Paulo, Brazil.
                [30 ]School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK.
                [31 ]Institut de Systématique, Évolution, et Biodiversité (ISYEB), Muséum National d’Histoire Naturelle, Paris, France.
                [32 ]Museu Nacional, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
                [33 ]Naturalis Biodiversity Center, Leiden, Netherlands.
                [34 ]German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Leipzig, Germany.
                [35 ]School of Natural Sciences, Bangor University, Bangor, Gwynedd, Wales, UK.
                [36 ]UN Environment Programme World Conservation Monitoring Centre (UNEP-WCMC), Cambridge, UK.
                [37 ]Department of Anthropology, Smithsonian National Museum of Natural History, Washington, DC, USA.
                [38 ]Department of Plant Biology and Ecology, University of Antananarivo, Antananarivo, Madagascar.
                [39 ]Instituto de Ecología y Biodiversidad, University of La Serena, La Serena, Chile.
                [40 ]Programa de Doctorado en Biología y Ecología Aplicada, Universidad Católica del Norte, Universidad de La Serena, La Serena, Chile.
                [41 ]Ileiry Geospatial Services, Antananarivo, Madagascar.
                [42 ]WWF, Antananarivo, Madagascar.
                [43 ]Plant Conservation Unit, Department of Biological Sciences, University of Cape Town, South Africa.
                [44 ]Botanic Gardens Conservation International, Kew, Richmond, Surrey, UK.
                [45 ]Institute of Biosciences, Life Sciences Centre, Vilnius University, Vilnius, Lithuania.
                [46 ]Royal Holloway, University of London, Egham, Surrey, UK.
                [47 ]Cologne Zoo, Cologne, Germany.
                [48 ]Institute of Zoology, University of Cologne, Cologne, Germany.
                [49 ]Department of Biology, Philipps-University Marburg, Marburg, Germany.
                [50 ]Department of Biology, University of Oxford, Oxford, UK.
                Article
                10.1126/science.adf1466
                36454830
                539a0a42-1a1b-4995-bad7-d52e3e034aeb
                © 2022
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