AI-supported statistical analysis of livestock biodiversity trends in Türkiye using ecological diversity indices (1991-2024)

Ayşe Özge Demir; Sinan Hakan

doi:10.20289/zfdergi.1705688

TR EN

Türkiye’de hayvancılık biyoçeşitliliği eğilimlerinin ekolojik çeşitlilik indeksleri kullanılarak yapay zekâ destekli istatistiksel analizi (1991-2024)

Öz

Amaç: Bu çalışma, Türkiye’deki 13 önemli çiftlik hayvanı türünün popülasyon dinamiklerindeki uzun dönemli eğilimleri (1991–2024) inceleyerek tür bolluğu, ırk kompozisyonu ve biyoçeşitlilik yapısındaki değişimleri değerlendirmektedir. Çalışmada özellikle yoğun yetiştirme uygulamalarının yerel genetik kaynaklar üzerindeki etkilerine odaklanılmıştır. Materyal ve Yöntem: Tür ve ırk eğilimlerini analiz etmek amacıyla Türkiye İstatistik Kurumu’nun (TÜİK) yıllık hayvan varlığı istatistikleri kullanılmıştır. Biyoçeşitlilik; Shannon, Simpson, Pielou’nun eşitlik indeksi, Berger–Parker ve Margalef gibi ekolojik indeksler kullanılarak değerlendirilmiştir. Çok değişkenli analizler (PCA ve hiyerarşik kümeleme) ile görselleştirmeler (ısı haritaları, radar grafikleri ve dendrogramlar) Python 3.11 ortamında gerçekleştirilmiştir. Türler arasında karşılaştırılabilirliği sağlamak amacıyla veriler normalize edilmiştir. Bulgular: Ticari sığır ve broyler tavuk popülasyonlarında belirgin artış gözlenirken, yerli koyun ve keçi ırklarında azalma tespit edilmiştir. Biyoçeşitlilik indeksleri özellikle 2000 yılı sonrasında tür zenginliği ve eşitliğinde azalma olduğunu göstermiştir. Bray–Curtis analizleri, beş yıllık dönemler arasında tür kompozisyonunda istatistiksel olarak anlamlı farklılıklar bulunduğunu ortaya koymuştur (F = 8.06, p<0.001). Sonuç: Yerel ırkların azalması genetik sürdürülebilirliği tehdit etmekte olup verimlilik ile genetik kaynakların korunmasını dengeleyen hayvancılık politikalarına ihtiyaç olduğunu göstermektedir.

Anahtar Kelimeler

Yapay zeka , Biyoçeşitlilik indeksleri , Pielou'nun eşitlik indeksi , Shannon çeşitlilik indeksi , Simpson çeşitlilik indeksi

AI-supported statistical analysis of livestock biodiversity trends in Türkiye using ecological diversity indices (1991-2024)

Abstract

Objective: This study investigates long-term trends (1991–2024) in the population dynamics of 13 major livestock species in Türkiye by examining changes in species abundance, breed composition and biodiversity structure, with emphasis on the impacts of intensive breeding practices on local genetic resources. Material and Methods: Annual livestock statistics from the Turkish Statistical Institute (TUIK) were used to analyse species and breed trends. Biodiversity was assessed using ecological indices including Shannon, Simpson, Pielou’s Evenness, Berger–Parker and Margalef. Multivariate analyses (PCA and hierarchical clustering) and visualizations (heat maps, radar charts and dendrograms) were conducted in Python 3.11. Data were normalized to ensure comparability among species. Results: Commercial cattle and broiler chicken populations increased markedly, whereas native sheep and goat breeds declined. Biodiversity indices showed reductions in species richness and evenness after 2000. Bray–Curtis analyses revealed significant differences in species composition across five-year periods (F = 8.06, p<0.001). Conclusion: The decline of local breeds threatens genetic sustainability and highlights the need for balanced livestock policies.

Keywords

Artificial intelligence , Biodiversity indices , Pielou’s evenness index , Shannon diversity index , Simpson diversity index

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Details

Primary Language

English

Subjects

Animal Reproduction and Breeding

Journal Section

Research Article

Authors

Ayşe Özge Demir ^*
0000-0001-7203-4734
Türkiye

Sinan Hakan
0009-0001-0468-2091
Türkiye

Publication Date

April 17, 2026

Submission Date

June 2, 2025

Acceptance Date

March 19, 2026

Published in Issue

Year 2026 Volume: 63 Number: 1

DOI

https://doi.org/10.20289/zfdergi.1705688

IZ

https://izlik.org/JA48DW76FL

APA

Demir, A. Ö., & Hakan, S. (2026). AI-supported statistical analysis of livestock biodiversity trends in Türkiye using ecological diversity indices (1991-2024). Journal of Agriculture Faculty of Ege University, 63(1), 113-129. https://doi.org/10.20289/zfdergi.1705688

Türkiye’de hayvancılık biyoçeşitliliği eğilimlerinin ekolojik çeşitlilik indeksleri kullanılarak yapay zekâ destekli istatistiksel analizi (1991-2024)

Öz

Anahtar Kelimeler

AI-supported statistical analysis of livestock biodiversity trends in Türkiye using ecological diversity indices (1991-2024)

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Publication Date

Submission Date

Acceptance Date

Published in Issue

DOI

IZ

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