Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım

Hüseyin Can Öngül; Şevki Danacıoğlu

doi:10.32003/igge.1430386

Araştırma Makalesi

Spatio-temporal analysis of relationship between artificial light pollution and bird observations in Turkey: a geostatistical approach

Yıl 2024, Sayı: 52, 159 - 178, 25.05.2024

Hüseyin Can Öngül Şevki Danacıoğlu

https://doi.org/10.32003/igge.1430386

Öz

Light pollution constitutes an environmental risk arising from the excessive and intense scattering of artificial light sources within a specific geographical area. This environmental pollution has substantial impacts on diverse species. Specifically, it interferes with behaviors such as feeding, migration, and reproduction in avian populations. In recent years, nocturnal light images acquired through remote sensing have been extensively employed for the detection of artificial light pollution. The aim of this research is to investigate the temporal and spatial correlation between artificial light pollution and avian observations in Turkey. Nighttime light images obtained from DMSP and VIIRS satellites between 2000 and 2022, along with the eBird database, the world’s largest citizen science project related to biodiversity, were utilized. In this context, a Space Time Cube data model was created for the temporal and spatial evaluation of observation points. The Emerging Hot Spot and Getis-Ord General G analyses were applied to test the statistical significance of the spatial distribution using the obtained data structure. Consequently, the relationship between the observed changes in pixel-scale nighttime light reflection values and observation points was assessed spatially and temporally. The results indicated a correlation between the numbers of observed avian species and areas with high artificial light changes.

Anahtar Kelimeler

Artificial Light Pollution, Bird Species Diversity, Environmental Risk, Spatial Statistics, Remote Sensing

Kaynakça

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Baştürk, K., & Aladağ, C. (2009). Maki ve garig topluluklarının Türkiye’deki yayılış alanları ve ekolojik özelliklerinin incelenmesi. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 22, 67-80.
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Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım

Yıl 2024, Sayı: 52, 159 - 178, 25.05.2024

Hüseyin Can Öngül Şevki Danacıoğlu

https://doi.org/10.32003/igge.1430386

Öz

Işık kirliliği, belirli bir bölge içerisinde bulunan yapay ışık kaynağının gereğinden fazla ve şiddetli ışık saçması sonucunda oluşan çevresel bir risktir. Bu kirlilik, canlı türleri üzerinde önemli etkilere sahiptir. Örneğin; kuşların, beslenme, göç hareketi ve üreme gibi davranışlarında bozulmalara neden olmaktadır. Yapay ışık kirliliğinin tespit edilebilmesinde son yıllarda uzaktan algılanmış gece ışığı görüntüleri yaygın şekilde kullanılmaktadır. Bu araştırmanın amacı, Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal olarak incelenmesidir. Bu kapsamda, 2000—2022 yılları arasındaki DMSP ve VIIRS uydularından elde edilen gece ışığı görüntüleri ile dünyanın en büyük biyoçeşitlilik ile ilgili vatandaş bilimi projesi olan eBird veri tabanı kullanılmıştır. Buna göre gözlem noktalarının zamansal ve mekânsal değerlendirilmesinde Space Time Cube veri modeli oluşturulmuştur. Elde edilen veri yapısı ile Emerging Hot Spot ve Getis-Ord General G* analizi uygulanarak mekânsal dağılımın istatiksel olarak anlamlılığı test edilmiştir. Sonuç olarak, piksel ölçeğinde elde edilen gece ışığı yansıma değerlerindeki değişim ile gözlem noktaları arasındaki ilişki mekânsal ve zamansal olarak değerlendirilmiştir. Elde edilen sonuçlar gözlemlenen kuş türü sayıları ile yapay ışık değişimin yüksek olduğu alanlar arasında bir ilişki olduğu tespit edilmiştir.

Anahtar Kelimeler

Yapay Işık Kirliliği, Kuş Tür Çeşitliliği, Çevresel Risk, Mekânsal İstatistik, Uzaktan Algılama

Kaynakça

Adelabu, S. A., & Olusola, A. O. (2021,July 11-16). Remote sensing of nighttime light: progress, prospects and possibilities in Africa (2013–2021). In 2021 IEEE International Geoscience and Remote Sensing Symposium,Brussels,Belgium, 4484-4487. https://doi.org/10.1109/IGARSS47720.2021.9553473
Avcı, M. (2000). Yeryüzünün Zoocoğrafya bölgeleri ve Türkiye’nin yeri. Coğrafya Dergisi, 8, 157-200.
Bach, B., Dragicevic, P., Archambault, D., Hurter, C., & Carpendale, S. (2014, Jun 25). A review of temporal data visualizations based on space-time cube operations. In Eurographics Conference on Visualization, Swansea, Wales, United Kingdom,1-19. http://dx.doi.org/10.2312/eurovisstar.20141171
Barré, K., Vernet, A., Azam, C., Le Viol, I., Dumont, A., Deana, T., & Kerbiriou, C. (2022). Landscape composition drives the impacts of artificial light at night on insectivorous bats. Environmental Pollution, 292, 118394.https://doi.org/10.1016/j.envpol.2021.118394
Baştürk, K., & Aladağ, C. (2009). Maki ve garig topluluklarının Türkiye’deki yayılış alanları ve ekolojik özelliklerinin incelenmesi. Selçuk Üniversitesi Sosyal Bilimler Enstitüsü Dergisi, 22, 67-80.
Burt, C. S., Kelly, J. F., Trankina, G. E., Silva, C. L., Khalighifar, A., Jenkins-Smith, H. C., ve Horton, K. G. (2023). The effects of light pollution on migratory animal behavior. Trends in Ecology ve Evolution, 38(4), 355-368. https://doi.org/10.1016/j.tree.2022.12.006
Cabrera-Cruz, S. A., Smolinsky, J. A., & Buler, J. J. (2018). Light pollution is greatest within migration passage areas for nocturnally-migrating birds around the world. Scientific Reports, 8(1), 3261. https://www.nature.com/articles/s41598-018-21577-6
Camacho, L. F., Barragán, G., & Espinosa, S. (2021). Local ecological knowledge reveals combined landscape effects of light pollution, habitat loss, and fragmentation on insect populations. Biological Conservation, 262, 109311.https://doi.org/10.1016/j.biocon.2021.109311
Chen, Z., Yu, B., Yang, C., Zhou, Y., Yao, S., Qian, X., Wang, C., Wu, B., & Wu, J. (2020). An extended time series (2000–2018) of global NPP-VIIRS-like nighttime light data from a cross-sensor calibration. Earth System Science Data, 13, 889–906. http://dx.doi.org/10.5194/essd-2020-201
Çakıcı, A. C. ve Harman, S. (2006). Kuş gözlemciliğinin önemi: Türkiye’de kuş gözlemciliğinin profili. Anatolia: Turizm Araştırmaları Dergisi, 17(2), 161-168.
Çelik, G. (2000). Çevre Yönetiminde Ekolojik Risk Değerlendirmesi ve Uluabat Ramsar Alanı İçin Problem Formülasyonu,(Doktora Tezi) Bursa Uludağ Üniversitesi, Bursa, Türkiye.
Doğanay, H., Özdemir, Ü., & Şahin, İ. F. (2011). Genel beşerî ve ekonomik coğrafya. PEGEM Akademi yayınları, Ankara.
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Kumar, P., Ashawat, M. S., Pandit, V., & Sharma, D. K. (2019). Artificial Light Pollution at Night: A risk for normal circadian rhythm and physiological functions in humans. Current Environmental Engineering, 6(2), 111- 125.https://doi.org/10.2174/2212717806666190619120211
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Meng, L., Zhou, Y., Román, M. O., Stokes, E. C., Wang, Z., Asrar, G. R., & Wang, Y. (2022). Artificial light at night: an underappreciated effect on phenology of deciduo etecody plants. PN etecxus, 1(2), pgac 046. https://doi.org/10.1093/pnasnexus/pgac046
Mo, C., Tan, D., Mai, T., Bei, C., Qin, J., Pang, W., & Zhang, Z. (2020). An analysis of spatiotemporal pattern for COIVD‐19 in China based on space‐time cube. Journal of Medical Virology, 92(9), 1587- 1595.https://doi.org/10.1002/jmv.25834
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Toplam 66 adet kaynakça vardır.

Ayrıntılar

Birincil Dil	Türkçe
Konular	Coğrafi Bilgi Sistemleri, Çevre Sorunları , Uzaktan Algılama
Bölüm	ARAŞTIRMA MAKALESİ
Yazarlar	Hüseyin Can Öngül 0000-0003-1383-3442 Şevki Danacıoğlu 0000-0003-1118-352X
Yayımlanma Tarihi	25 Mayıs 2024
Gönderilme Tarihi	1 Şubat 2024
Kabul Tarihi	29 Mart 2024
Yayımlandığı Sayı	Yıl 2024 Sayı: 52

Kaynak Göster

APA	Öngül, H. C., & Danacıoğlu, Ş. (2024). Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım. Lnternational Journal of Geography and Geography Education(52), 159-178. https://doi.org/10.32003/igge.1430386
AMA	Öngül HC, Danacıoğlu Ş. Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım. IGGE. Mayıs 2024;(52):159-178. doi:10.32003/igge.1430386
Chicago	Öngül, Hüseyin Can, ve Şevki Danacıoğlu. “Türkiye’de Yapay ışık kirliliği Ile Kuş gözlemleri arasındaki ilişkinin Zamansal Ve mekânsal Analizi: Jeoistatistiksel Bir yaklaşım”. Lnternational Journal of Geography and Geography Education, sy. 52 (Mayıs 2024): 159-78. https://doi.org/10.32003/igge.1430386.
EndNote	Öngül HC, Danacıoğlu Ş (01 Mayıs 2024) Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım. lnternational Journal of Geography and Geography Education 52 159–178.
IEEE	H. C. Öngül ve Ş. Danacıoğlu, “Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım”, IGGE, sy. 52, ss. 159–178, Mayıs 2024, doi: 10.32003/igge.1430386.
ISNAD	Öngül, Hüseyin Can - Danacıoğlu, Şevki. “Türkiye’de Yapay ışık kirliliği Ile Kuş gözlemleri arasındaki ilişkinin Zamansal Ve mekânsal Analizi: Jeoistatistiksel Bir yaklaşım”. lnternational Journal of Geography and Geography Education 52 (Mayıs 2024), 159-178. https://doi.org/10.32003/igge.1430386.
JAMA	Öngül HC, Danacıoğlu Ş. Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım. IGGE. 2024;:159–178.
MLA	Öngül, Hüseyin Can ve Şevki Danacıoğlu. “Türkiye’de Yapay ışık kirliliği Ile Kuş gözlemleri arasındaki ilişkinin Zamansal Ve mekânsal Analizi: Jeoistatistiksel Bir yaklaşım”. Lnternational Journal of Geography and Geography Education, sy. 52, 2024, ss. 159-78, doi:10.32003/igge.1430386.
Vancouver	Öngül HC, Danacıoğlu Ş. Türkiye’de yapay ışık kirliliği ile kuş gözlemleri arasındaki ilişkinin zamansal ve mekânsal analizi: Jeoistatistiksel bir yaklaşım. IGGE. 2024(52):159-78.

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