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Mapping linkages between ecosystem services and agricultural and landscape management using structural topic modeling of scientific literature

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  • Villa-Cox, Gonzalo
  • Bucaram-Villacís, Santiago J.
  • Goethals, Peter
  • Speelman, Stijn

Abstract

This paper provides a systematic overview of existing literature on the interdependence between terrestrial Ecosystem Services (ES) and agricultural landscape management. To this end, we constructed a structured methodological approach that future researchers and other stakeholders may use to explore potential gaps for potential avenues for research. The framework starts with a constructed bibliometric dataset comprising 2478 paper abstracts (and associated metadata) published between 2010 and 2019 that contain references to specific ES classes and case study location references worldwide. Next, the dataset was used to construct a Structural Topic Model (STM), which features marginal effect estimation of metadata covariates on topic prevalence and topic prevalence correlation. The estimated topic graph structure is then used for community detection of interconnected topics via cluster identification, which allowed us to determine the current structure of the academic discourse on the interaction between terrestrial ES and agricultural landscape management. We expect this novel approach to enable identification of research priorities, prioritization of project portfolios for our field of interest, and reusable methodological guidelines that can be employed to target other fields of knowledge similarly.

Suggested Citation

  • Villa-Cox, Gonzalo & Bucaram-Villacís, Santiago J. & Goethals, Peter & Speelman, Stijn, 2023. "Mapping linkages between ecosystem services and agricultural and landscape management using structural topic modeling of scientific literature," Ecosystem Services, Elsevier, vol. 61(C).
    • Handle: RePEc:eee:ecoser:v:61:y:2023:i:c:s2212041623000177
    DOI: 10.1016/j.ecoser.2023.101525
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    References listed on IDEAS

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    1. Fisher, Brendan & Turner, R. Kerry & Morling, Paul, 2009. "Defining and classifying ecosystem services for decision making," Ecological Economics, Elsevier, vol. 68(3), pages 643-653, January.
    2. Margaret Roberts & Brandon Stewart & Tingley, Dustin & Edoardo Airoldi, 2013. "The structural topic model and applied social science," Working Paper 132666, Harvard University OpenScholar.
    3. Bing Wang & Su-Yan Pan & Ruo-Yu Ke & Ke Wang & Yi-Ming Wei, 2014. "An overview of climate change vulnerability: a bibliometric analysis based on Web of Science database," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 74(3), pages 1649-1666, December.
    4. Zhang, Wei & Ricketts, Taylor H. & Kremen, Claire & Carney, Karen & Swinton, Scott M., 2007. "Ecosystem services and dis-services to agriculture," Ecological Economics, Elsevier, vol. 64(2), pages 253-260, December.
    5. Perevochtchikova, Maria & Castro-Díaz, Ricardo & Langle-Flores, Alfonso & Von Thaden Ugalde, Juan José, 2021. "A systematic review of scientific publications on the effects of payments for ecosystem services in Latin America, 2000–2020," Ecosystem Services, Elsevier, vol. 49(C).
    6. Dale, Virginia H. & Polasky, Stephen, 2007. "Measures of the effects of agricultural practices on ecosystem services," Ecological Economics, Elsevier, vol. 64(2), pages 286-296, December.
    7. Margaret E. Roberts & Brandon M. Stewart & Edoardo M. Airoldi, 2016. "A Model of Text for Experimentation in the Social Sciences," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 988-1003, July.
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