Экологическая безопасность в цифровую эпоху: новые методы и подходы
Статья боковой панели
Опубликован:
июл 27, 2025
Ключевые слова:
интернет-экология, экологическая безопасность, цифровые следы
Основное содержание статьи
Евгений Викторович Щекотин
Email: evgvik1978@mail.ru
https://orcid.org/0000-0001-7377-0645
Аннотация
В статье анализируются актуальные мировые тренды исследования различных аспектов экологической безопасности в условиях цифрового общества. Рассматривается развитие формирование взаимосвязанных исследовательских направлений на стыке экологии, социальных наук и информационных технологий – «интернет-экологии» (iEcology) и «экологическая культуромика» (conservation culturomics). Для изучения экологических процессов, оценки экологической ситуации и решения природоохранных задач в рамках этих направлений используются данные (цифровые следы), которые генерируют обычные интернет-пользователи в процессе своей повседневной жизни в онлайн-пространстве – общения, поиска информации, работы и т.д. Источником данных в этом случае выступают веб-страницы, поисковые запросы пользователей, посты в социальных сетях, платформ для размещения видео, книг, цифровых энциклопедий. Анализ научной литературы показывает, что уже сегодня цифровые следы используются в экологической гражданской науке, для оценки культурных экосистемных услуг и привлечения внимания общественности к экологическим проблемам, изучения поведения животных в естественной среде обитания и торговли животными в Интернете, получения информации о стихийных бедствиях и авариях.
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Как цитировать
Щекотин, Е. В. (2025). Экологическая безопасность в цифровую эпоху: новые методы и подходы. Society and Security Insights, 8(2), 101-115. https://doi.org/10.14258/SSI(2025)2-07
Раздел
СОЦИАЛЬНЫЕ, КУЛЬТУРНЫЕ, ИСТОРИЧЕСКИЕ ИССЛЕДОВАНИЯ И БЕЗОПАСНОСТЬ
Это произведение доступно по лицензии Creative Commons «Attribution» («Атрибуция») 4.0 Всемирная.
Authors retain the copyright of their manuscripts, and all Open Access articles are distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.
Литература
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McClure E.C., Sievers M., Brown C.J., Buelow C.A., Ditria E.M., Hayes M.A., Pearson R.M., Tulloch V.J., Unsworth R.K., Connolly R.M. Artificial Intelligence Meets Citizen Science to Supercharge Ecological Monitoring // Perspective. 2020. Vol.1, no. 7. P. 100109. https://doi.org/10.1016/j.patter.2020.100109
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Moon K., Blackman D.A., Adams V.M., Colvin R.M., Davila F., Evans M.C., Januchowski‐Hartley S.R., Bennett N.J., Dickinson H., Sandbrook C., Sherren K., St. John F.A., van Kerkhoff L., Wyborn C. Expanding the role of social science in conservation through an engagement with philosophy, methodology, and methods // Methods in Ecology and Evolution. 2019. No. 10. Р. 294-302. https://doi.org/10.1111/2041-210X.13126
Pecl G.T., Stuart-Smith J., Walsh P.W., Bray D.J., Kusetic M., Burgess M., Frusher S., Gledhill D.C., George O., Jackson G., Keane J.P., Martin V.Y., Nursey-Bray M., Pender A., Robinson L.M., Rowling K., Sheaves M., Moltschaniwskyj N.A. Redmap Australia: Challenges and Successes With a Large-Scale Citizen Science-Based Approach to Ecological Monitoring and Community Engagement on Climate Change // Frontiers in Marine Science. 2019. No. 6. P. 349. https://doi.org/10.3389/fmars.2019.00349
Richards D.R., Friess D.A. A rapid indicator of cultural ecosystem service usage at a fine spatial scale: Content analysis of social media photographs // Ecological Indicators. 2015. No. 53. P. 187-195. https://doi.org/10.1016/j.ecolind.2015.01.034
Smith K.H., Tyre A.J., Tang Z., Hayes M.J., Akyuz F.A. Calibrating Human Attention as Indicator Monitoring #drought in the Twittersphere // Bulletin of the American Meteorological Society. 2020. Vol. 101, no. 10. P. E1801-E1819. https://doi.org/10.1175/BAMS-D-19-0342.1
Troumbis A.Y. The time and timing components of conservation culturomics cycles and scenarios of public interest in the Google era // Biodiversity and Conservation. 2019. No. 28. Р. 1717-1727. https://doi.org/10.1007/s10531-019-01750-7
Troumbis A.Y., Iosifidis S. A decade of Google Trends-based Conservation culturomics research: A critical evaluation of an evolving epistemology // Biological Conservation. 2020. № 248. Р. 10864. https://doi.org/10.1016/j.biocon.2020.108647
Vieira F.A.S., Santos D.T.V., Bragagnolo C., Campos-Silva J.V., Correia R.A.H., Jepson P., Malhado A.C.M., Ladle R.J. Social media data reveals multiple cultural services along the 8.500 kilometers of Brazilian coastline // Ocean & Coastal Management. 2021. No. 214. P. 105918. https://doi.org/10.1016/j.ocecoaman.2021.105918
Wang Z., Zhu Z., Xu M., Qureshi S. Fine-grained assessment of greenspace satisfaction at regional scale using content analysis of social media and machine learning // Science of The Total Environment. 2021. No. 776. P. 145908. https://doi.org/10.1016/j.scitotenv.2021.145908
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Yang J. Big data and the future of urban ecology: From the concept to results // Science China Earth Sciences. 2020. № 63. Р. 1443-1456. https://doi.org/10.1007/s11430-020-9666-3
Young J.C., Arthur R., Spruce M., Williams H.T. Social Sensing of Heatwaves // Sensors. 2021. No. 21. P. 3717. https://doi.org/10.3390/s21113717
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