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      Global marine biodiversity in the context of achieving the Aichi Targets: ways forward and addressing data gaps

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          Abstract

          In 2010, the Conference of the Parties of the Convention on Biological Diversity agreed on the Strategic Plan for Biodiversity 2011–2020 in Aichi Prefecture, Japan. As this plan approaches its end, we discussed whether marine biodiversity and prediction studies were nearing the Aichi Targets during the 4th World Conference on Marine Biodiversity held in Montreal, Canada in June 2018. This article summarises the outcome of a five-day group discussion on how global marine biodiversity studies should be focused further to better understand the patterns of biodiversity. We discussed and reviewed seven fundamental biodiversity priorities related to nine Aichi Targets focusing on global biodiversity discovery and predictions to improve and enhance biodiversity data standards (quantity and quality), tools and techniques, spatial and temporal scale framing, and stewardship and dissemination. We discuss how identifying biodiversity knowledge gaps and promoting efforts have and will reduce such gaps, including via the use of new databases, tools and technology, and how these resources could be improved in the future. The group recognised significant progress toward Target 19 in relation to scientific knowledge, but negligible progress with regard to Targets 6 to 13 which aimed to safeguard and reduce human impacts on biodiversity.

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          Evolution and the latitudinal diversity gradient: speciation, extinction and biogeography.

          A latitudinal gradient in biodiversity has existed since before the time of the dinosaurs, yet how and why this gradient arose remains unresolved. Here we review two major hypotheses for the origin of the latitudinal diversity gradient. The time and area hypothesis holds that tropical climates are older and historically larger, allowing more opportunity for diversification. This hypothesis is supported by observations that temperate taxa are often younger than, and nested within, tropical taxa, and that diversity is positively correlated with the age and area of geographical regions. The diversification rate hypothesis holds that tropical regions diversify faster due to higher rates of speciation (caused by increased opportunities for the evolution of reproductive isolation, or faster molecular evolution, or the increased importance of biotic interactions), or due to lower extinction rates. There is phylogenetic evidence for higher rates of diversification in tropical clades, and palaeontological data demonstrate higher rates of origination for tropical taxa, but mixed evidence for latitudinal differences in extinction rates. Studies of latitudinal variation in incipient speciation also suggest faster speciation in the tropics. Distinguishing the roles of history, speciation and extinction in the origin of the latitudinal gradient represents a major challenge to future research.
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            Critical considerations for the application of environmental DNA methods to detect aquatic species

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              The magnitude of global marine species diversity.

              The question of how many marine species exist is important because it provides a metric for how much we do and do not know about life in the oceans. We have compiled the first register of the marine species of the world and used this baseline to estimate how many more species, partitioned among all major eukaryotic groups, may be discovered. There are ∼226,000 eukaryotic marine species described. More species were described in the past decade (∼20,000) than in any previous one. The number of authors describing new species has been increasing at a faster rate than the number of new species described in the past six decades. We report that there are ∼170,000 synonyms, that 58,000-72,000 species are collected but not yet described, and that 482,000-741,000 more species have yet to be sampled. Molecular methods may add tens of thousands of cryptic species. Thus, there may be 0.7-1.0 million marine species. Past rates of description of new species indicate there may be 0.5 ± 0.2 million marine species. On average 37% (median 31%) of species in over 100 recent field studies around the world might be new to science. Currently, between one-third and two-thirds of marine species may be undescribed, and previous estimates of there being well over one million marine species appear highly unlikely. More species than ever before are being described annually by an increasing number of authors. If the current trend continues, most species will be discovered this century. Copyright © 2012 Elsevier Ltd. All rights reserved.
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                Author and article information

                Contributors
                Journal
                PeerJ
                PeerJ
                peerj
                peerj
                PeerJ
                PeerJ Inc. (San Diego, USA )
                2167-8359
                29 October 2019
                2019
                : 7
                : e7221
                Affiliations
                [1 ]Senckenberg Research Institute and Natural History Museum , Frankfurt am Main, Germany
                [2 ]FB 15 Biological Sciences Institute for Ecology, Diversity and Evolution Biologicum, Goethe University of Frankfurt , Frankfurt am Main, Germany
                [3 ]Senckenberg Research Institute and Natural History Museum, OBIS Data Manager, Deep-sea Node , Frankfurt am Main, Germany
                [4 ]Marine Invertebrate Systematics & Ecology Laboratory, Faculty of Science, University of the Ryukyus, Nishihara , Okinawa, Japan
                [5 ]IMARBEC, fremer, IRD, CNRS, Univ. Montpellier , Sète, France
                [6 ]Benthic Ecology Laboratory, Biology Department, Université Laval , Québec, Canada
                [7 ]Laboratory of Polar Biology and Oceanobiology, Department of Invertebrate Zoology and Hydrobiology, Faculty of Biology and Environmental Protection, University of Lodz , Lodz, Poland
                [8 ]Fisheries and Oceans Canada, Bedford Institute of Oceanography , Dartmouth, Nova Scotia, Canada
                [9 ]Research and Exploratory Development Department, Johns Hopkins Applied Physics Laboratory , Laurel, MD, United States of America
                [10 ]Institute of Marine Science, University of Auckland , Auckland, New Zealand
                Article
                7221
                10.7717/peerj.7221
                6824330
                31681508
                8379e5f7-5056-496e-8434-1fdbce845bd5
                ©2019 Saeedi et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.

                History
                : 5 February 2019
                : 31 May 2019
                Funding
                Funded by: NSERC Canadian Healthy Oceans Network and its Partners: Department of Fisheries and Oceans Canada
                Funded by: INREST (representing the Port of Sept-Îles and City of Sept-Îles)
                This research is sponsored by the NSERC Canadian Healthy Oceans Network and its Partners: Department of Fisheries and Oceans Canada and INREST (representing the Port of Sept-Îles and City of Sept-Îles). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Biodiversity
                Marine Biology
                Molecular Biology
                Taxonomy
                Data Mining and Machine Learning

                aichi targets,marine biodiversity,prediction,discovery,biodiversity tools and pipelines,biogeography,data standard,stewardship and dissemination,stewardship,data standards,dissemination,tools and pipelines

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