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      Social Media Data Can Be Used to Understand Tourists’ Preferences for Nature-Based Experiences in Protected Areas : Social media data in protected areas

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          Users of the world, unite! The challenges and opportunities of Social Media

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            DeepFace: Closing the Gap to Human-Level Performance in Face Verification

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              Fifteen forms of biodiversity trend in the Anthropocene.

              Humans are transforming the biosphere in unprecedented ways, raising the important question of how these impacts are changing biodiversity. Here we argue that our understanding of biodiversity trends in the Anthropocene, and our ability to protect the natural world, is impeded by a failure to consider different types of biodiversity measured at different spatial scales. We propose that ecologists should recognize and assess 15 distinct categories of biodiversity trend. We summarize what is known about each of these 15 categories, identify major gaps in our current knowledge, and recommend the next steps required for better understanding of trends in biodiversity.
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                Author and article information

                Journal
                Conservation Letters
                CONSERVATION LETTERS
                Wiley
                1755263X
                January 2018
                January 2018
                February 22 2017
                : 11
                : 1
                : e12343
                Affiliations
                [1 ]Amarula Elephant Research Programme, School of Life Sciences; University of KwaZulu-Natal; Durban 4041 South Africa
                [2 ]Department of Geosciences and Geography; University of Helsinki; FI-00014 Helsinki Finland
                [3 ]Department of Genetics, Evolution and Environment; University College; London WC1E 6BT UK
                [4 ]Finnish Centre of Excellence in Metapopulation Research, Department of Biosciences; University of Helsinki; 00014 Helsinki Finland
                Article
                10.1111/conl.12343
                2c48725a-910e-47e6-aedb-30666f6f6688
                © 2017

                http://doi.wiley.com/10.1002/tdm_license_1.1

                http://creativecommons.org/licenses/by/4.0/

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