Volume 4, Issue 1 (reserch article 2024)                   jfer 2024, 4(1): 69-80 | Back to browse issues page


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modaberi A. (2024). A comparison distance sampling methods for estimating the plant density and canopy cover in different inventory net (Case study: Manesht and ghalarang forest of ilam, Iran). jfer. 4(1), 69-80. doi:DOI: 10.21859/jfer.4.1.69
URL: http://yujs.yu.ac.ir/jzfr/article-1-125-en.html
Ilam university , modaberi.amir@yahoo.com
Abstract:   (95 Views)
Background and objectives: Primary information about different methods of vegetation sampling is important to researchers to decide about their sampling.
Materials and methods: In this study we applied five distance methods (closest individual, nearest neighbor, second nearest neighbor, joint-point and point- centered quarter method) to estimate plant density and canopy cover based on different inventory net (100×100, 150×150, 200×100 and 200×200)m in Manesht and ghalarang ilam province were compared according to their accuracy.  
Results : The result showed that among the distance sampling methods mentioned with different inventory net according to accuracy for density second nearest neighbor in 200×200 inventiry net and for canopy cover respectively point- centered quarter method in 200×100 and 150×150 were more suitable methods  for this region. Because this formulas could provide an acceptable estimate based on ±10% accepted accuracy.
Conclusion : According to this study distance sampling methods in Zagros forest was relatively good accuracy and can be used in other research and executive censuses.
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Type of Study: Research | Subject: Special
Received: 2020/03/24 | Accepted: 2020/07/8

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