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Will Global Climate Change Favor the Kissing bug (Triatoma infestans)?

Yıl 2024, Cilt: 7 Sayı: 3, 43 - 58, 28.10.2024
https://doi.org/10.46236/umbd.1546075

Öz

Triatoma infestans, known as the kissing bug, is one of the main causes of Chagas disease in the South American. Due to the parasite secreted by this species, many protection studies have been carried out by the World Health Organization. However, it has been determined that the conservation efforts are not model-based and at a sufficient level. This study was carried out to determine the effects of changing climate conditions on the kissing bug on a global scale. MaxEnt was preferred as the modelling method and Chelsa V2.1. was preferred as the climate variables. Kissing bug is in the “good” model category with ROC values of 0.867/0.866 on the training/test dataset of current model. According to the variable value results contributing to the present model, the Chelsa climate envelope models for the year 2100 were simulated. As a result, it was determined that the distribution of the kissing bug expanded according to different climate envelope models for the year 2100. This study raises alarms that serious health problems from Chagas disease will emerge in 2100 due to the expansion of the kissing bug.

Proje Numarası

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Kaynakça

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Küresel iklim Değişikliği Öpücük Böceğinin (Triatoma infestans) Yararına Mı Olacak?

Yıl 2024, Cilt: 7 Sayı: 3, 43 - 58, 28.10.2024
https://doi.org/10.46236/umbd.1546075

Öz

Öpücük böceği olarak bilinen Triatoma infestans Güney Amerika’da Chagas hastalığının başlıca sebeplerinden biridir. Bu türün salgıladığı parazit nedeniyle Dünya Sağlık Örgütü tarafından çok sayıda koruma çalışması yapılmıştır. Ancak koruma çalışmalarının modelleme tabanlı ve yeterli düzeyde olmadığı tespit edilmiştir. Bu çalışma, küresel ölçekte değişen iklim koşullarının öpücük böceği üzerindeki etkilerini belirlemek amacıyla yürütülmüştür. Modelleme yöntemi olarak MaxEnt, iklim değişkenleri olarak ise Chelsea V2.1 tercih edilmiştir. Öpücük böceği, günümüz modeli eğitim/test veri seti ROC değerleri
0,867/0,866 olmasıyla “iyi” model kategorisindedir. Modele katkı sağlayan değişkenlerin sırasıyla yıllık ortalama sıcaklık, mevsimsel sıcaklık, yağış mevsimselliği, engebelilik ve yükseklik olduğu tespit edilmiştir. Mevcut modele katkıda bulunan değişken değer sonuçlarına göre, 2100 yılı için Chelsa iklim zarfı modelleri simüle edilmiştir. Sonuç olarak öpücük böceğinin yayılışının 2100 yılına kadar farklı iklim zarfı modellerine göre genişlediği belirlenmiştir. Bu çalışma, öpücük böceğinin 2100 yılına kadar yayılmasıyla Chagas hastalığından kaynaklanan ciddi sağlık sorunlarının ortaya çıkacağına dair alarmlar vermektedir.

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Kaynakça

  • Abrahan, L. B., Gorla, D. E., & Catalá, S. S. (2011). Dispersal of Triatoma infestans and other Triatominae species in the arid Chaco of Argentina: flying, walking or passive carriage? The importance of walking females. Memórias do Instituto Oswaldo Cruz, 106, 232-239. https://doi.org/10.1590/S0074-02762011000200019
  • Acarer, A. (2024a). Brown bear (Ursus arctos L.) distribution model in Europe: Current situation and the potential role of climate change. Sumarski list, 148(5-6), 1-12. https://doi.org/10.31298/sl.148.5-6.4
  • Acarer, A. (2024b). Will cinereous vulture (Aegypius monachus L.) become extinct in the forests of Türkiye in the future?. Sumarski list, 148(7-8), 375-387. https://doi.org/10.31298/sl.148.7-8.5
  • Acarer, A. (2024c). A scenario-driven strategy for future habitat management of the Andean bear. Journal of Wildlife and Biodiversity, 8(4), 56-77. https://doi.org/10.5281/zenodo.13822908
  • Acarer, A. (2024d). Role of climate change on Oriental spruce (Picea orientalis L.): Modeling and mapping. BioResources, 19(2), 3845-3856. https://doi.org/10.15376/biores.19.2.3845-3856
  • Acarer, A. (2024e). Response of Black Pine (Pinus nigra) in Southwestern Anatolia to Climate Change. BioResources, 19(4), 8594-8607. https://doi.org/10.15376/biores.19.2.3845-3856
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  • Lorenzo, M. G., & Lazzari, C. R. (1999). Temperature and relative humidity affect the selection of shelters by Triatoma infestans, vector of Chagas disease. Acta tropica, 72(3), 241-249. https://doi.org/10.1016/S0001-706X(98)00094-1
  • Margalef‐Marrase, J., Pérez‐Navarro, M. Á., & Lloret, F. (2020). Relationship between heatwave‐induced forest die‐off and climatic suitability in multiple tree species. Global Change Biology, 26(5), 3134-3146. https://doi.org/10.1111/gcb.15042
  • Merow, C., Smith, M. J., & Silander Jr, J. A. (2013). A practical guide to MaxEnt for modeling species’ distributions: what it does, and why inputs and settings matter. Ecography, 36(10), 1058-1069. https://doi.org/10.1111/j.1600-0587.2013.07872.x
  • Mert, A., & Acarer, A. (2018). Wildlife Diversity in Reed Beds Around Beyşehir Lake. Bilge International Journal of Science and Technology Research, 2(1), 110-119.
  • Mert, A., & Acarer, A. (2021). Usage Rates of Reed Beds in Beysehir Lake of Some Wild Mammals. Feb Fresenıus Environmental Bulletin, 845.
  • Mert, A., Kıraç, A. (2017). Habitat Suitability Mapping of Anatololacerta danfordi (Günter, 1876) in Isparta-Sütçüler District. Bilge International Journal of Science and Technology Research, 1(1), 16-22.
  • Mert, A., Yalçınkaya, B. (2016). The relation of edge effect on some wild mammals in Burdur-Ağlasun (Turkey) district. Biological Diversity and Conservation, 9(2), 193-201.
  • Miller, J. (2010). Species distribution modeling. Geography Compass, 4(6), 490-509. https://doi.org/10.1111/j.1749-8198.2010.00351.x
  • Morera‐Pujol, V., Mostert, P. S., Murphy, K. J., Burkitt, T., Coad, B., McMahon, B. J., & Ciuti, S. (2023). Bayesian species distribution models integrate presence‐only and presence–absence data to predict deer distribution and relative abundance. Ecography, 2023(2), e06451. https://doi.org/10.1111/ecog.06451
  • Noireau, F. (2009). Wild Triatoma infestans, a potential threat that needs to be monitored. Memórias do Instituto Oswaldo Cruz, 104, 60-64. https://doi.org/10.1590/S0074-02762009000900010
  • Özdemir, S. (2024). Testing the Effect of Resolution on Species Distribution Models Using Two Invasive Species. Polish Journal of Environmental Studies, 33(2), 1325-1335. https://doi.org/10.15244/pjoes/166353
  • Özdemir, S., Gülsoy, S., & Mert, A. (2020). Predicting the effect of climate change on the potential distribution of Crimean Juniper. Kastamonu University Journal of Forestry Faculty, 20(2), 133-142. https://doi.org/10.17475/kastorman.801847
  • Özdemir, S., Özkan, K., & Mert, A. (2020). An ecological perspective on climate change scenarios. Biological Diversity and Conservation, 13(3), 361-371. https://doi.org/10.46309/biodicon.2020
  • Özkan, K. (2012). Modelling ecological data using classification and regression tree technique (CART), Süleyman Demirel University, Forestry Faculty of Journal, 13(1), 1-4.
  • Paranaiba, L. F., Guarneri, A. A., Torrecilhas, A. C., Melo, M. N., & Soares, R. P. (2019). Extracellular vesicles isolated from Trypanosoma cruzi affect early parasite migration in the gut of Rhodnius prolixus but not in Triatoma infestans. Memórias do Instituto Oswaldo Cruz, 114, e190217. https://doi.org/10.1590/0074-02760190217
  • Phillips, S. J. (2005). A brief tutorial on Maxent. At&t Research, 190(4), 231-259.
  • Phillips, S. J., & Dudík, M. (2008). Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation. Ecography, 31(2), 161-175. https://doi.org/10.1111/j.0906-7590.2008.5203.x
  • Phillips, S. J., Anderson, R. P., Dudík, M., Schapire, R. E., & Blair, M. E. (2017). Opening the black box: An open‐source release of Maxent. Ecography, 40(7), 887-893. https://doi.org/10.1111/ecog.03049
  • Picanço, M. M., Guedes, R. N. C., da Silva, R. S., Galvão, C., Souza, P. G. C., Barreto, A. B., & Picanço, M. C. (2024). Unveiling the overlooked: Current and future distribution dynamics of kissing bugs and palm species linked to oral Chagas disease transmission. Acta Tropica, 107367. https://doi.org/10.1016/j.actatropica.2024.107367
  • Pinto, J., Bonacic, C., Hamilton-West, C., Romero, J., & Lubroth, J. (2008). Climate change and animal diseases in South America. Rev Sci Tech, 27(2), 599-613.
  • Pureswaran, D. S., Roques, A., & Battisti, A. (2018). Forest insects and climate change. Current Forestry Reports, 4, 35-50. https://doi.org/10.1007/s40725-018-0075-6
  • Raven, P. H., & Wagner, D. L. (2021). Agricultural intensification and climate change are rapidly decreasing insect biodiversity. Proceedings of the National Academy of Sciences, 118(2), e2002548117. https://doi.org/10.1073/pnas.2002548117
  • Ribeiro, G. F. D. O. M. A. L., Castro, G. V. D. S., Menezes, A. L. R., Lima, R. A., Silva, R. P. M., & Meneguetti, D. U. D. O. (2018). Retrospective study of the epidemiological overview of the transmission of Chagas disease in the State of Acre, South-Western Amazonia, from 2009 to 2016. Journal of Human Growth and Development, 28(3), 329-336. https://doi.org/10.7322/jhgd.152187
  • Roca, M. J., & Lazzari, C. R. (1994). Effects of relative humidity on the haematophagous bug Triatoma infestans: hygropreference and eclosion success. Journal of Insect Physiology, 40(10), 901-907. https://doi.org/10.1016/0022-1910(94)90024-8
  • Rolandi, C., & Schilman, P. E. (2012). Linking global warming, metabolic rate of hematophagous vectors, and the transmission of infectious diseases. Frontiers in Physiology, 3, 75. https://doi.org/10.3389/fphys.2012.00075 Sbaraglia, C., Samraoui, K. R., Massolo, A., Bartoňová, A. S., Konvička, M., & Fric, Z. F. (2023). Back to the future: Climate change effects on habitat suitability of Parnassius apollo throughout the Quaternary glacial cycles. Insect Conservation and Diversity, 16(2), 231-242. https://doi.org/10.1007/s10841-024-00617-9
  • Schmidt, J. O., Miller, M. L., & Klotz, S. A. (2022). Seasonal flight pattern of the kissing bugs Triatoma rubida and T. protracta (Hemiptera: Reduviidae: Triatominae) in southern Arizona, United States. Insects, 13(3), 265. https://doi.org/10.3390/insects13030265
  • Schofield CJ (1988). Biosystematics of the Triatominae. In M Service (ed.), Biosystematics of Haematophagous Insects, Clarendon Press, Oxford, p. 284-312.
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  • Strasen, J., Williams, T., Ertl, G., Zoller, T., Stich, A., & Ritter, O. (2014). Epidemiology of Chagas disease in Europe: many calculations, little knowledge. Clinical Research in Cardiology, 103, 1-10. https://doi.org/10.1007/s00392-013-0613-y
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  • Tekin, S., Yalçınkaya, B., Acarer, A., & Mert, A. (2018). A research on usage possibilities of satellite data in wildlife: Modeling habitat suitability of Roe deer (Capreolus capreolus L.) with MaxEnt. Bilge International Journal of Science and Technology Research, 2(2), 147-156.
  • Usinger, R. L., Wygodzinsky, P., & Ryckman, R. E. (1966). The biosystematics of Triatominae. Annual Review of Entomology, 11(1), 309-330. https://doi.org/10.1146/annurev.en.11.010166.001521
  • Vassena, C. V., Picollo, M. I., & Zerba, E. N. (2000). Insecticide resistance in Brazilian Triatoma infestans and Venezuelan Rhodnius prolixus. Medical and Veterinary Entomology, 14(1), 51-55. https://doi.org/10.1186/s13071-024-06276-8
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  • 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
  • Zimmermann, N. E., Edwards, T. C., Graham C. E., Pearman P. B., Svenning J. C., (2010). New trends in species distribution modelling. Ecography, 33, 985-989. https://doi.org/10.1111/j.1600-0587.2010.06953.x
Toplam 77 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Coğrafi Bilgi Sistemleri, Fiziksel Coğrafya ve Çevre Jeolojisi (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Ahmet Acarer 0000-0003-0864-7880

Proje Numarası ---
Erken Görünüm Tarihi 28 Ekim 2024
Yayımlanma Tarihi 28 Ekim 2024
Gönderilme Tarihi 9 Eylül 2024
Kabul Tarihi 19 Ekim 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 7 Sayı: 3

Kaynak Göster

APA Acarer, A. (2024). Will Global Climate Change Favor the Kissing bug (Triatoma infestans)?. Uluborlu Mesleki Bilimler Dergisi, 7(3), 43-58. https://doi.org/10.46236/umbd.1546075
Creative Commons Lisansı
Isparta Uygulamalı Bilimler Üniversitesi Uluborlu Mesleki Bilimler Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı ile lisanslanmıştır.