Social media photo content for Sierra Nevada: a dataset to support the assessment of cultural ecosystem services in protected areas
| Autor: | Andrea Ros-Candeira, Ana Sofia Vaz, Francisco J. Bonet-García, Domingo Alcaraz-Segura, Ricardo Moreno-Llorca |
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| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
lcsh:QH1-199.5 cultural ecosystem service Social media content lcsh:General. Including nature conservation geographical distribution 010501 environmental sciences 010603 evolutionary biology 01 natural sciences Ecosystem services lcsh:QH540-549.5 Biosphere reserve cultural ecosystem service nature-based experience social media content social-ecological research Social media social-ecological research 0105 earth and related environmental sciences Nature and Landscape Conservation Biosphere reserve business.industry social media content Environmental resource management nature-based experience 15. Life on land Geography Cultural ecosystem service Nature-based experience lcsh:Ecology business |
| Zdroj: | Nature Conservation 38: 1-12 Nature Conservation, Vol 38, Iss, Pp 1-12 (2020) Digibug. Repositorio Institucional de la Universidad de Granada instname |
| ISSN: | 1314-3301 1314-6947 |
| Popis: | This dataset provides crowd-sourced and georeferenced information useful for the assessment of cultural ecosystem services in the Sierra Nevada Biosphere Reserve (southern Spain). Data were collected within the European project ECOPOTENTIAL focused on Earth observations of ecosystem services. The dataset comprises 778 records expressing the results of the content analysis of social media photos published in Flickr. Our dataset is illustrated in this data paper with density maps for different types of information. This work has been carried out within the H2020 project “ECOPOTENTIAL: Improving future ecosystem benefits through earth observations” (http://www.ecopotential- project.eu/), which has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 641762. |
| Databáze: | OpenAIRE |
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