Uydu Verisi ve AgrometShell Modülü ile Işık Kullanım Etkinliği LUE Modeli Kullanarak Çankırı İli Meralarının Birincil Üretim Tahmini

Abstract

Bu çalışmada, Çankırı meralarının 2000-2009 arasındaki aylık ve yıllık toplam birincil üretimleri ışık kullanım etkinliği modeli ile hesaplanmıştır. Elde edilen bulgulara göre il sınırları içinde kalan meraların son on yıllık ortalama birincil üretimi yaklaşık 17877 tondur ve bu üretim hem mevsimsel hem de yıllık olarak 12630-37701 ton arası değişkenlik göstermektedir. Bu değişkenliğin ana sebepleri içinde bölgeye düşen yağış miktarı ve otlayan hayvan sayısındaki değişimler gösterilebilir. Model performansı, toplanmış normalize edilmiş farklılık indeksi INDVI ile test edilmiştir. Test sonucuna göre, INDVI ve toplam birincil üretim arasında orta seviyede bir ilişki R2 = 0.69, P0.05, 2008; r= 0.41, P>0.05, 2009 . Örneklenen bitki türleri, kişisel örnekleme hataları ve uydu verileri ile örnekleme alanı arasındaki ölçek farklılığı ilişki çıkmamasının ana sebepleri olarak gösterilebilir. Bu çalışma, AgrometShell girdilerini kullanan LUE modelinin meralarda birincil üretim miktarının tahmin edilmesinde iyi bir araç olduğunu ortaya koymaktadır.

Keywords

• Biyokütle
• Çankırı
• Mera
• Uzaktan algılama
• Vejetasyon

Primary Production Estimation of Çankırı Province’s Rangelands Using Light Use Efficiency LUE Model with Satellite Data and AgrometShell Module

Abstract

In this study, monthly and annual gross primary production GPP of rangelands in Çankırı province for the period of 2000-2009 was calculated using light use efficiency LUE model with the inputs of satellite data and AgrometShell module. The average production of rangelands varied seasonally and annually from 12630 to 37701 tons and was approximately 17800 tons for the last ten years. The amount of rainfall and changing number of animal grazing in the region probably led to the variation. Model performance was tested with integrated normalized difference vegetation index INDVI approach which produced a moderate significant correlation R2= 0.69, P0.05 for 2008, r= 0.41, P>0.05 for 2009 due to some factors such as sampled plant type, scale differences between satellite data and ground sample size, and subjective sampling errors. This study indicates that LUE Model together with the inputs of AgrometShell module is suitable tool for estimation of rangeland primary production

Keywords

• Biomass
• Çankırı
• Range
• Remote sensing
• Vegetation

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