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      Looking back on biodiversity change: lessons for the road ahead

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          Abstract

          Estimating biodiversity change across the planet in the context of widespread human modification is a critical challenge. Here, we review how biodiversity has changed in recent decades across scales and taxonomic groups, focusing on four diversity metrics: species richness, temporal turnover, spatial beta-diversity and abundance. At local scales, change across all metrics includes many examples of both increases and declines and tends to be centred around zero, but with higher prevalence of declining trends in beta-diversity (increasing similarity in composition across space or biotic homogenization) and abundance. The exception to this pattern is temporal turnover, with changes in species composition through time observed in most local assemblages. Less is known about change at regional scales, although several studies suggest that increases in richness are more prevalent than declines. Change at the global scale is the hardest to estimate accurately, but most studies suggest extinction rates are probably outpacing speciation rates, although both are elevated. Recognizing this variability is essential to accurately portray how biodiversity change is unfolding, and highlights how much remains unknown about the magnitude and direction of multiple biodiversity metrics at different scales. Reducing these blind spots is essential to allow appropriate management actions to be deployed.

          This article is part of the theme issue ‘Detecting and attributing the causes of biodiversity change: needs, gaps and solutions’.

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          Ecological Diversity and Its Measurement

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            High-resolution global maps of 21st-century forest cover change.

            Quantification of global forest change has been lacking despite the recognized importance of forest ecosystem services. In this study, Earth observation satellite data were used to map global forest loss (2.3 million square kilometers) and gain (0.8 million square kilometers) from 2000 to 2012 at a spatial resolution of 30 meters. The tropics were the only climate domain to exhibit a trend, with forest loss increasing by 2101 square kilometers per year. Brazil's well-documented reduction in deforestation was offset by increasing forest loss in Indonesia, Malaysia, Paraguay, Bolivia, Zambia, Angola, and elsewhere. Intensive forestry practiced within subtropical forests resulted in the highest rates of forest change globally. Boreal forest loss due largely to fire and forestry was second to that in the tropics in absolute and proportional terms. These results depict a globally consistent and locally relevant record of forest change.
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              Quantifying biodiversity: procedures and pitfalls in the measurement and comparison of species richness

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                Author and article information

                Contributors
                Journal
                Philosophical Transactions of the Royal Society B: Biological Sciences
                Phil. Trans. R. Soc. B
                The Royal Society
                0962-8436
                1471-2970
                July 17 2023
                May 29 2023
                July 17 2023
                : 378
                : 1881
                Affiliations
                [1 ]Centre for Biological Diversity, University of St Andrews, St Andrews KY16 9TH, UK
                [2 ]Guia Marine Laboratory, MARE, Faculdade de Ciencias da Universidade de Lisboa, Cascais 2750-374, Portugal
                [3 ]Leverhulme Centre for Anthropocene Biodiversity, Department of Biology, University of York, Wentworth Way, York YO10 5DD, UK
                [4 ]German Centre for Integrative Biodiversity Research (iDiv), Halle-Jena-Leipzig 04103, Germany
                [5 ]Department of Computer Sciences, Martin Luther University, Halle-Wittenberg 06099, Germany
                [6 ]Department of Biology, University of Vermont, Burlington, VT, USA
                [7 ]School of Biology and Ecology and Mitchell Center for Sustainability Solutions, University of Maine, Orono, ME, USA
                [8 ]Research Centre for Ecological Change, Faculty of Biological and Environmental Sciences, University of Helsinki, 00014 Helsinki, Finland
                [9 ]International Institute for Applied Systems Analysis (IIASA), Laxenburg 2361, Austria
                [10 ]Department of Biology, McGill University, Montreal, Canada H3A 1B1
                [11 ]School of GeoSciences, University of Edinburgh, Edinburgh EH9 3FF, UK
                [12 ]Département de biologie, Université de Sherbrooke, Québec, Canada J1K 2R1
                Article
                10.1098/rstb.2022.0199
                7e554ebf-40f8-42f6-a81a-b382d929dcbd
                © 2023

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