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      Where communities intermingle, diversity grows – The evolution of topics in ecosystem service research

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      1 , 2 , 3 , * , 4 , 5
      PLoS ONE
      Public Library of Science

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          Abstract

          We analyze how the content of ecosystem service research has evolved since the early 1990s. Conducting a computational bibliometric content analysis we process a corpus of 14,118 peer-reviewed scientific article abstracts on ecosystem services (ES) from Web of Science records. To provide a comprehensive content analysis of ES research literature, we employ a latent Dirichlet allocation algorithm. For three different time periods (1990–2000, 2001–2010, 2011–2016), we derive nine main ES topics arising from content analysis and elaborate on how they are related over time. The results show that natural science-based ES research analyzes oceanic, freshwater, agricultural, forest, and soil ecosystems. Pollination and land cover emerge as traceable standalone topics around 2001. Social science ES literature demonstrates a reflexive and critical lens on the role of ES research and includes critiques of market-oriented perspectives. The area where social and natural science converge most is about land use systems such as agriculture. Overall, we provide evidence of the strong natural science foundation, the highly interdisciplinary nature of ES research, and a shift in social ES research towards integrated assessments and governance approaches. Furthermore, we discuss potential reasons for observable topic developments.

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          Most cited references39

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          Finding scientific topics.

          A first step in identifying the content of a document is determining which topics that document addresses. We describe a generative model for documents, introduced by Blei, Ng, and Jordan [Blei, D. M., Ng, A. Y. & Jordan, M. I. (2003) J. Machine Learn. Res. 3, 993-1022], in which each document is generated by choosing a distribution over topics and then choosing each word in the document from a topic selected according to this distribution. We then present a Markov chain Monte Carlo algorithm for inference in this model. We use this algorithm to analyze abstracts from PNAS by using Bayesian model selection to establish the number of topics. We show that the extracted topics capture meaningful structure in the data, consistent with the class designations provided by the authors of the articles, and outline further applications of this analysis, including identifying "hot topics" by examining temporal dynamics and tagging abstracts to illustrate semantic content.
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            Twenty years of ecosystem services: How far have we come and how far do we still need to go?

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              • Article: not found

              The history of ecosystem services in economic theory and practice: From early notions to markets and payment schemes

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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: InvestigationRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS ONE
                plos
                plosone
                PLoS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                28 September 2018
                2018
                : 13
                : 9
                : e0204749
                Affiliations
                [1 ] Department of Economics, UFZ—Helmholtz Centre for Environmental Research, Leipzig, Germany
                [2 ] Department of Economics, Martin-Luther University Halle-Wittenberg, Halle (Saale), Germany
                [3 ] Department of Development, Environment and Territory, FLACSO—Facultad Latinoamericana de Ciencias Sociales, Quito, Ecuador
                [4 ] Helsinki Institute of Sustainability Science, Department of Forest Sciences, University of Helsinki, Helsinki, Finland
                [5 ] Energy & Resources Group, University of California, Berkeley, California, United States of America
                KU Leuven, BELGIUM
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                [¤]

                Current address: Centre for Environment and Climate Research, Lund University, Lund, Sweden

                Author information
                http://orcid.org/0000-0003-4357-9115
                Article
                PONE-D-18-05138
                10.1371/journal.pone.0204749
                6161896
                30265733
                168358ed-795c-4d50-964a-a29878da0aba
                © 2018 Droste et al

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

                History
                : 16 February 2018
                : 13 September 2018
                Page count
                Figures: 4, Tables: 3, Pages: 19
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100009379, Heinrich Böll Stiftung;
                Award ID: P118873
                Award Recipient :
                Funded by: Metsäteollisuustuotteiden Vientikaupan Edistämissäätiö
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/501100004022, Jenny ja Antti Wihurin Rahasto;
                Award Recipient :
                Funded by: Center for European Studies at UC Berkeley
                Award Recipient :
                ND is grateful for a scholarship of the Heinrich-Böll-Foundation ( https://www.boell.de/en), grant no. P118873. DD is grateful to Metsäteollisuustuotteiden Vientikaupan Edistämissäätiö ( https://www.mves.info/), Jenny ja Antti Wihurin rahasto ( https://wihurinrahasto.fi/) and the Academy of Finland (funding decision 315912). JJG is grateful for a scholarship from the Center for European Studies at UC Berkeley ( https://ies.berkeley.edu/cges). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Biology and Life Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Marine Ecosystems
                Biology and Life Sciences
                Ecology
                Community Ecology
                Ecological Risk
                Ecology and Environmental Sciences
                Ecology
                Community Ecology
                Ecological Risk
                Biology and Life Sciences
                Ecology
                Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Biology and Life Sciences
                Ecology
                Ecosystems
                Ecosystem Functioning
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Ecosystem Functioning
                Social Sciences
                Sociology
                Social Research
                Ecology and Environmental Sciences
                Conservation Science
                Biology and Life Sciences
                Ecology
                Ecosystems
                Urban Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Urban Ecosystems
                Biology and Life Sciences
                Ecology
                Ecosystems
                Reef Ecosystems
                Ecology and Environmental Sciences
                Ecology
                Ecosystems
                Reef Ecosystems
                Custom metadata
                The data underlying this study belong to the Web of Science ( https://clarivate.com/products/web-of-science/web-science-form/web-science-core-collection/). Interested researchers can access the Web of Science data in the same manner as the authors if they meet the institutional access requirements following the search criteria provided within the article. The analytical code used to process Web of Science data has been uploaded to GitHub and is accessible using the following link: https://github.com/NilsDroste/ES-LDA. The results of this study are reproducible using this analytical code.

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