Modelling of Cultural Ecosystem Services Using Maximum Entropy Algorithm

Yıl 2022, Cilt: 5 Sayı: 2, 93 - 101, 30.12.2022

Müjde Taş E. Seda Arslan

https://doi.org/10.51552/peyad.1222298

Öz

Various methods are being developed to map of cultural ecosystem services, which represents the intangible benefits provided by ecosystems. In recent years, it is possible to understand human perceptions according to the photos they share because of the increasing importance of social media for society. The aim of this study is to model the cultural ecosystem services within the administrative borders of Aydın province, determined as the study area, using the maximum entropy algorithm and the species distribution model, with geotagged photos obtained from social media. In the study, environmental variables were combined with user perception by running QGIS, ArcMap and MaxEnt programs. CES modeled in the study area are recreation, tourism, cultural heritage, inspiration, spiritual values, and aesthetic values. The outputs of the model show that its performance is reliable. For each CES considered in the study, it is seen that the areas where the model is concentrated spatially are water coasts and green areas. It is thought that the findings obtained from this study can be used effectively in decision-making processes, especially for the management and planning of natural resources, and it is predicted to be used as a method for CES mapping.

Anahtar Kelimeler

MaxEnt, Aydın, Cultural ecosystem services, Social media, Geographical information system

Kültürel Ekosistem Hizmetlerinin Maksimum Entropi Algoritması Kullanılarak Modellenmesi

Öz

Ekosistemlerin sağladığı somut olmayan faydaları ifade eden kültürel ekosistem hizmetlerinin haritalanması konusunda çeşitli yöntemler geliştirilmektedir. Son yıllarda sosyal medyanın insanlar için öneminin artması dolayısıyla, onların algılarını, paylaştıkları fotoğraflara göre belirlemek mümkün olabilmektedir. Bu çalışmanın amacı maksimum entropi algoritması ve tür dağılım modelini kullanarak sosyal medyadan elde edilen coğrafi etiketli fotoğraflar vasıtası ile çalışma alanı olarak belirlenen Aydın ili idari sınırları içinde kültürel ekosistem hizmetlerinin modellenmesidir. Çalışmada QGIS, ArcMap ve MaxEnt programları entegre şekilde çalıştırılarak belirlenen çevresel değişkenler, kullanıcı algısıyla birleştirilmiştir. Çalışmada modellenen kültürel ekosistem hizmetleri (KEH), spor ve rekreasyon değeri, turizm değeri, kültürel miras değeri, ilham değeri, manevi değerler ve de estetik ve manzara değeridir. Modelin sayısal çıktıları performansının yüksek olduğunu göstermektedir. Çalışmada ele alınan her bir KEH için modelin mekânsal olarak yoğunluk gösterdiği alanların su kıyıları ve yeşil alanlar olduğu görülmektedir. Bu çalışmadan elde edilen bulguların özellikle doğal kaynakların yönetimi ve planlanması için karar alma süreçlerinde etkin şekilde kullanılabileceği düşünülmekte ve KEH haritalanması sürecinde bir yöntem olarak kullanılması öngörülmektedir.

Anahtar Kelimeler

Kültürel ekosistem hizmetleri, sosyal medya, MaxEnt, coğrafi bilgi sistemleri, Aydın, Cultural ecosystem services, Social media, Geographical information system

Kaynakça

• Albayrak, İ. (2012). Ekosistem servislerine dayalı havza yönetim modelinin İstanbul-Ömerli havzası örneğinde uygulanabilirliği.
• Arslan, E. S., & Örücü, Ö. K. (2020). Kültürel ekosistem hizmetlerinin sosyal medya fotoğrafları kullanılarak modellenmesi: Eskişehir örneği. Turkish Journal of Forestry, 21(1), Art. 1. https://doi.org/10.18182/tjf.651453
• Arslan, E. S., & Örücü, Ö. K. (2021). MaxEnt modelling of the potential distribution areas of cultural ecosystem services using social media data and GIS. Environment, Development and Sustainability, 23(2), 2655-2667. https://doi.org/10.1007/s10668-020-00692-3
• Chan, K. M. A., Shaw, M. R., Cameron, D. R., Underwood, E. C., & Daily, G. C. (2006). Conservation planning for ecosystem services. PLoS biology, 4(11), e379.
• Clemente, P., Calvache, M., Antunes, P., Santos, R., Cerdeira, J. O., & Martins, M. J. (2019). Combining social media photographs and species distribution models to map cultural ecosystem services: The case of a Natural Park in Portugal. Ecological indicators, 96, 59-68.
• Egoh, B., Reyers, B., Rouget, M., Richardson, D. M., Le Maitre, D. C., & van Jaarsveld, A. S. (2008). Mapping ecosystem services for planning and management. Agriculture, Ecosystems & Environment, 127(1), 135-140. https://doi.org/10.1016/j.agee.2008.03.013
• Figueroa-Alfaro, R. W., & Tang, Z. (2017). Evaluating the aesthetic value of cultural ecosystem services by mapping geo-tagged photographs from social media data on Panoramio and Flickr. Journal of Environmental Planning and Management, 60(2), 266-281.
• Ghermandi, A., Camacho-Valdez, V., & Trejo-Espinosa, H. (2020). Social media-based analysis of cultural ecosystem services and heritage tourism in a coastal region of Mexico. Tourism Management, 77, 104002.
• Giné, D. S., Albert, M. Y. P., Callau, A. À., & Rota, J. J. (2020). Dataset on georeferenced and tagged photographs for ecosystem services assessment, Ebro Delta, NE Spain. Data in brief, 29, 105178.
• Guerrero, P., Møller, M. S., Olafsson, A. S., & Snizek, B. (2016). Revealing cultural ecosystem services through Instagram images: The potential of social media volunteered geographic information for urban green infrastructure planning and governance. Urban Planning, 1(2), 1-17.
• Langemeyer, J., Calcagni, F., & Baro, F. (2018). Mapping the intangible: Using geolocated social media data to examine landscape aesthetics. Land use policy, 77, 542-552.
• MEA. (2005). Ecosystems and Human Well-‐Being: Synthesis: Island Press. Millennium Ecosystem Assessment.
• Milcu, A. I., Hanspach, J., Abson, D., & Fischer, J. (2013). Cultural ecosystem services: A literature review and prospects for future research. Ecology and society, 18(3).
• Muñoz, L., Hausner, V. H., Runge, C., Brown, G., & Daigle, R. (2020). Using crowdsourced spatial data from Flickr vs. PPGIS for understanding nature’s contribution to people in Southern Norway. People and Nature, 2(2), 437-449. https://doi.org/10.1002/pan3.10083
• Nahuelhual, L., Carmona, A., Lozada, P., Jaramillo, A., & Aguayo, M. (2013). Mapping recreation and ecotourism as a cultural ecosystem service: An application at the local level in Southern Chile. Applied geography, 40, 71-82.
• Oteros-Rozas, E., Martín-López, B., Fagerholm, N., Bieling, C., & Plieninger, T. (2018). Using social media photos to explore the relation between cultural ecosystem services and landscape features across five European sites. Ecological Indicators, 94, 74-86.
• Retka, J., Jepson, P., Ladle, R. J., Malhado, A. C., Vieira, F. A., Normande, I. C., Souza, C. N., Bragagnolo, C., & Correia, R. A. (2019). Assessing cultural ecosystem services of a large marine protected area through social media photographs. Ocean & Coastal Management, 176, 40-48.
• Richards, D. R., & Friess, D. A. (2015). A rapid indicator of cultural ecosystem service usage at a fine spatial scale: Content analysis of social media photographs. Ecological Indicators, 53, 187-195.
• Richards, D. R., & Tunçer, B. (2018). Using image recognition to automate assessment of cultural ecosystem services from social media photographs. Ecosystem Services, 31, 318-325. https://doi.org/10.1016/j.ecoser.2017.09.004
• Ruiz-Frau, A., Ospina-Alvarez, A., Villasante, S., Pita, P., Maya-Jariego, I., & de Juan, S. (2020). Using graph theory and social media data to assess cultural ecosystem services in coastal areas: Method development and application. Ecosystem Services, 45, 101176.
• Schirpke, U., Kohler, M., Leitinger, G., Fontana, V., Tasser, E., & Tappeiner, U. (2017). Future impacts of changing land-use and climate on ecosystem services of mountain grassland and their resilience. Ecosystem Services, 26, 79-94. https://doi.org/10.1016/j.ecoser.2017.06.008
• Sinclair, M., Ghermandi, A., & Sheela, A. M. (2018). A crowdsourced valuation of recreational ecosystem services using social media data: An application to a tropical wetland in India. Science of the total environment, 642, 356-365.
• Tieskens, K. F., Van Zanten, B. T., Schulp, C. J. E., & Verburg, P. H. (2018). Aesthetic appreciation of the cultural landscape through social media: An analysis of revealed preference in the Dutch river landscape. Landscape and Urban Planning, 177, 128-137. https://doi.org/10.1016/j.landurbplan.2018.05.002
• Tonyaloğlu, E. E., & Atak, B. K. (2020). Kentsel eksosistem servislerinin haritalanması ve analizi: Aydın İli Efeler İlçesi Örneği. Akademik Ziraat Dergisi, 9(1), Art. 1. https://doi.org/10.29278/azd.732799
• Van Jaarsveld, A., Biggs, R., Scholes, R., Bohensky, E., Reyers, B., Lynam, T., Musvoto, C., & Fabricius, C. (2005). Measuring conditions and trends in ecosystem services at multiple scales: The Southern African Millennium Ecosystem Assessment (SA f MA) experience. Philosophical Transactions of the Royal Society B: Biological Sciences, 360(1454), 425-441.
• Wood, S. A., Guerry, A. D., Silver, J. M., & Lacayo, M. (2013). Using social media to quantify nature-based tourism and recreation. Scientific reports, 3(1), 1-7.
• Yoshimura, N., & Hiura, T. (2017). Demand and supply of cultural ecosystem services: Use of geotagged photos to map the aesthetic value of landscapes in Hokkaido. Ecosystem services, 24, 68-78.
• Zhang, K., Yao, L., Meng, J., & Tao, J. (2018). Maxent modeling for predicting the potential geographical distribution of two peony species under climate change. Science of The Total Environment, 634, 1326-1334. https://doi.org/10.1016/j.scitotenv.2018.04.112