Easy and Quick Survey Method to Estimate Quantitative Characteristics in the Thin Forests

Mirzaei, Mehrdad; Bonyad, Amir Eslam; Bijarpas, Mahboobeh Mohebi; Golmohamadi, Fatemeh

doi:10.7747/jfes.2015.31.2.73

Cited by 3 publications

(1 citation statement)

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“…Thus, the results of E% 2 × T criteria showed that the inventory grid of 200 × 100 m (25 plots) had the lowest value of E% 2 × T and, consequently, this grid dimension is the most appropriate for the estimation of biodiversity indices in semi-arid forests of Iran (Table 6). The results also showed that the grid dimension of 100 × 100 m (50 plots) had a higher value of E% 2 × T. Various studies have been carried out on the use of E% 2 × T criteria in order to select the most suitable sampling method (Mirzaei and Bonyad, 2014;Mirzaei et al, 2015) or the most appropriate plot size (Etemad et al, 2014). The proper selection of inventory grid and number of plots with the purpose to estimate the forest variables can to a considerable extent prevent the current and future costs and provide the forest managers with accurate information about the forest condition in as short time as possible, to ensure as much as possible effectiveness in the management and planning of forest units.…”

Section: Discussionmentioning

confidence: 99%

Effects of inventory grids on estimation of tree species diversity in semi-arid forests of Iran

et al. 2019

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Mirzaei, M., Bonyad, A.E., Moradi Emamgheysi, I., Hassanzad Navroodi, I., 2019. Effects of inventory grids on estimation of tree species diversity in semi-arid forests of Iran. Folia Oecologica, 46: 24-29.Species diversity is one of the most important indices used to evaluate the sustainability of forest communities. The sampling method and the number of plots are factors affecting the estimation of plant biodiversity. In the present study, effects of different inventory grids on estimation of tree species diversity were compared in semi-arid forests of Iran. There were selected 50 hectares of these forests representing the regional forests. Sampling procedures were carried out on circular plots (1,000m 2 ) within inventory grids, with dimensions of 50 × 50 m (200 plots), 100 × 50 m (100 plots), 100 × 100 m (50 plots), 200 × 50 m (50 plots), 200 × 100 m (25 plots), and 250 × 200 m (10 plots). For each plot, the type of the species and the number of trees were recorded. Simpson (1-D), Hill (N 2 ), Shannon-Wiener (H ' ), Mc Arthur (N 1 ), Smith-Wilson (E var ) and Margalef (R 1 ) indices were used to estimate the tree species diversity. The inventory grid was evaluated based on the precision and cost criteria (E% 2 × T). The obtained sampling error values showed that the inventory grid consisting of 200 plots exhibited more accuracy for estimating the biodiversity indices. But based on the results of E% 2 × T, the inventory grid with 25 plots was selected as the most appropriate one for estimating the tree species diversity in semi-arid forests. The results of this study can also serve to estimate the tree species diversity in other semi-arid forests of Iran.

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Section: Discussionmentioning

confidence: 99%

Effects of inventory grids on estimation of tree species diversity in semi-arid forests of Iran

et al. 2019

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Mapping Soil Characteristics: Spatio-Temporal Comparison of Land Use Regression and Ordinary Kriging in an Arid Environment

pirestani,

Ahmadi Nadoushan,

Abolhasani

et al. 2024

J Indian Soc Remote Sens

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A Study on the Accuracy and Precision of Estimation of the Number, Basal Area and Standing Trees Volume per Hectare Using of some Sampling Methods in Forests of NavAsalem

Navroodi

Ahmadzadeh

Bonyad

2019

ifej

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The present study aimed to investigate the accuracy and precision estimation of the number, basal area and volume of the standing trees by methods of random and systematic random sampling in the forests of West Guilan. The cost or inventory time was determined using the criteria (E% × T). Inventory was carried out by complete sampling (census) in an area of hectares. The study area (section , district , Nav forests, Asalem) was divided into rectangular plots ( m× m) and each plot was measured separately. Measured characteristics were the kind of tree species, diameter at breast height and height. After inventory operation, the study area was stratified based on forest density. In each stratum, sampling was carried out by simple random sampling and systematic random sampling. The results showed that implementation of stratified sampling has reduced the sampling error and increased the sampling time for estimating the characteristics of abundance, basal area and standing volume of trees per ha in the study area. Amount of criterion (E% × T) in stratified sampling was less than sampling without stratification and between stratified samplings; stratified random systematic sampling had the lowest value. Therefore, among the studied methods, stratified random systematic sampling, due to high precision and minimum criteria of (E% × T), was a suitable method for evaluation of the number, Basal area and volume of standing trees in the study area.

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Easy and Quick Survey Method to Estimate Quantitative Characteristics in the Thin Forests

Cited by 3 publications

References 9 publications

Effects of inventory grids on estimation of tree species diversity in semi-arid forests of Iran

Effects of inventory grids on estimation of tree species diversity in semi-arid forests of Iran

Mapping Soil Characteristics: Spatio-Temporal Comparison of Land Use Regression and Ordinary Kriging in an Arid Environment

A Study on the Accuracy and Precision of Estimation of the Number, Basal Area and Standing Trees Volume per Hectare Using of some Sampling Methods in Forests of NavAsalem

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