TY  - JOUR
T1  - ANALYSIS OF FOREST CONSERVATION PERFORMANCE OF MAJOR FORESTED COUNTRIES: AN APPLICATION USING TOPSIS AND WASPAS
TT  - BAŞLICA ORMAN VARLIĞINA SAHIP ÜLKELERIN ORMAN KORUMA PERFORMANSININ ANALIZI: TOPSIS VE WASPAS YÖNTEMLERİYLE BİR DEĞERLENDİRME
AU  - Altıntaş, Furkan Fahri
PY  - 2025
DA  - October
Y2  - 2025
DO  - 10.32328/turkjforsci.1687349
JF  - Turkish Journal of Forest Science
JO  - Turk J For Sci
PB  - Kahramanmaraş Sütçü İmam Üniversitesi
WT  - DergiPark
SN  - 2618-6616
SP  - 313
EP  - 338
VL  - 9
IS  - 2
LA  - en
AB  - Countries hosting extensive forest areas, particularly those encompassing a significant proportion of the world’s forests, play a critical role in global biodiversity, environmental stability, and economic systems. Within this framework, the forest conservation performance of nine nations—Russia, Brazil, Canada, the USA, China, the Democratic Republic of Congo (DRC), Indonesia, India, and Peru—representing 65% of global forest cover, was evaluated using the 2024 Forest Environmental Performance Index (EPI-F) criteria through the WASPAS (Weighted Aggregated Sum Product Assessment) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) methodologies. Results indicated that rankings derived from WASPAS and TOPSIS diverged only for China and India. Furthermore, average forest conservation performance scores were computed using both approaches. According to WASPAS, India, China, and Peru exceeded the average, whereas TOPSIS identified India, China, Peru, and Indonesia as above-average performers. Consequently, a joint evaluation of both methods suggests that Russia, Brazil, Canada, the USA, the DRC, and Indonesia, whose forest conservation performances fall below the average, should reinforce their conservation policies to more effectively support global environmental integrity, biodiversity preservation, and economic sustainability. Moreover, sensitivity and comparative analyses confirmed the suitability of WASPAS and TOPSIS within the EPI-F framework for assessing these countries’ forest conservation performance. Regarding limitations, the study exclusively employed data from 2024. Future research may benefit from longitudinal analyses spanning multiple years and incorporating additional multi-criteria decision-making (MCDM) techniques to broaden the methodological comparison.
KW  - MCDM
KW  - WASPAS
KW  - TOPSIS
KW  - environmental performance index
KW  - forest conservation performance
N2  - Dünyadaki ormanların önemli bir bölümüne ev sahipliği yapan geniş orman alanlarına sahip ülkeler, küresel biyolojik çeşitliliğin korunması, çevresel denge ve ekonomik sistemler üzerinde belirleyici bir role sahiptir. Bu bağlamda, dünya ormanlarının %65’ini barındıran dokuz ülkenin—Rusya, Brezilya, Kanada, ABD, Çin, Kongo Demokratik Cumhuriyeti (KDC), Endonezya, Hindistan ve Peru—orman koruma performansları, 2024 yılı Orman Çevresel Performans Endeksi (EPI-F) kriterleri doğrultusunda, WASPAS (Ağırlıklı Toplam Çarpım Değerlendirme Yöntemi) ve TOPSIS (İdeal Çözüme Benzerliğe Göre Tercih Sıralaması Tekniği) çok kriterli karar verme yöntemleri kullanılarak değerlendirilmiştir. Bulgular, WASPAS ve TOPSIS yöntemlerinden elde edilen sıralamaların yalnızca Çin ve Hindistan açısından farklılık gösterdiğini ortaya koymuştur. Ayrıca, her iki yöntemle ülkelerin ortalama orman koruma performans değerleri hesaplanmıştır. WASPAS yöntemine göre Hindistan, Çin ve Peru ortalamanın üzerinde performans sergilerken; TOPSIS yöntemi Hindistan, Çin, Peru ve Endonezya’yı ortalamanın üzerinde değerlendirmiştir. Dolayısıyla, her iki yöntemin ortak değerlendirilmesi sonucunda, Rusya, Brezilya, Kanada, ABD, KDC ve Endonezya gibi ülkelerin orman koruma performanslarının ortalamanın altında kaldığı ve bu ülkelerin küresel çevre sağlığı, biyolojik çeşitlilik ve ekonomik sürdürülebilirliğe daha etkin katkı sağlayabilmeleri için orman koruma politikalarını güçlendirmeleri gerektiği sonucuna ulaşılmıştır. Ayrıca yapılan duyarlılık ve karşılaştırmalı analizler, WASPAS ve TOPSIS yöntemlerinin EPI-F çerçevesinde bu ülkelerin orman performanslarının değerlendirilmesinde uygun ve geçerli araçlar olduğunu ortaya koymuştur. Çalışmanın sınırlılıkları bağlamında, yalnızca 2024 yılına ait veriler kullanılmıştır. Gelecek araştırmalarda, çok yıllı verilerin dikkate alındığı daha kapsamlı analizlerin yapılması ve ilave çok kriterli karar verme (ÇKKV) yöntemlerinin dahil edilmesi, yöntemsel karşılaştırmaların genişletilmesine olanak sağlayabilir.
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UR  - https://doi.org/10.32328/turkjforsci.1687349
L1  - https://dergipark.org.tr/tr/download/article-file/4820717
ER  -