Journal of Forest Science, 2019 (vol. 65), issue 1
LIST OF REVIEWERS - 2018List of reviewers
editors
J. For. Sci., 2019, 65(1):I-II | DOI: 10.17221/11625-JFS 
Nutrition of Douglas-fir in four different regions of the Czech RepublicOriginal Paper
Vít ©rámek, Věra Fadrhonsová, Kateřina Neudertová Hellebrandová
J. For. Sci., 2019, 65(1):1-8 | DOI: 10.17221/130/2018-JFS
Soil properties and foliar chemistry of Douglas-fir stands were evaluated in four regions with historical cultivation of this introduced species in the Czech Republic. All the localities are on acidic sites with pH (KCl) ranging between 4 and 5, low in concentrations of base cations particularly at the soil depth between 10 and 40 cm and also low in phosphorus. Sufficient to increased content of nitrogen and, on the other hand, the deficiency of phosphorus, potassium and occasional deficiency of magnesium were found in foliage. Studied Douglas-fir stands are apparently proximate to the acidic limit of convenient site conditions, however, neither the...
Investigation on Zagros forests cover changes under the recent droughts using satellite imageryOriginal Paper
Marjan Goodarzi, Mehdi Pourhashemi, Zahra Azizi
J. For. Sci., 2019, 65(1):9-17 | DOI: 10.17221/61/2018-JFS
Oak decline phenomenon has recently led to considerable dieback within Zagros forests, western Iran. In the present study, Landsat imagery (2005 to 2016) and synoptic station data were used to study the forest dieback in Dorood, Lorestan province. Sixteen vegetation indices were calculated and values in each year were obtained. The correlations between the index and climatic parameters of rainfall, temperature and relative humidity were investigated. Results showed that the correlation of some indices with rainfall and the correlation of other indices with temperature were more than 70%. Optimized soil adjusted vegetation index had 80% correlation...
Estimation of forest development stage and crown closure using different classification methods and satellite images: A case study from TurkeyOriginal Paper
Sinan Bulut, Alkan Günlü, Sedat Keleş
J. For. Sci., 2019, 65(1):18-26 | DOI: 10.17221/127/2018-JFS
The objective of this study is to estimate stand development stages (SDS) and stand crown closures (SCC) of forest using different classification methods (maximum likelihood, support vector machine: linear, polynomial, radial and sigmoid kernel functions and artificial neural network) based on satellite imagery of different resolution (Landsat 7 ETM+ and IKONOS). The results showed that SDS and SCC were estimated with Landsat 7 ETM+ image using the artificial neural network with a 0.83 and 0.78 kappa statistic value, and 92.57 and 89.77% overall accuracy assessments, respectively. On the other hand, SDS and SCC were predicted with IKONOS image using...
Assessment of LST and NDMI indices using MODIS and Landsat images in Karun riparian forestOriginal Paper
Marjan Firoozy Nejad, Amin Zoratipour
J. For. Sci., 2019, 65(1):27-32 | DOI: 10.17221/121/2018-JFS
Riparian forest plays a significant role in ecosystems. Also, research on land surface temperature and soil moisture is essential in earth science and forest studies. Because measuring methods are difficult to apply in large areas and especially in dense forests, in this study normalized difference moisture index (NDMI) and land surface temperature (LST) were estimated using the infrared thermal method by data of Landsat 8 and Moderate Resolution Imaging Spectroradiometer (MODIS) in the Karun riparian forest that is of ecological importance in the Khuzestan province of Iran. The results showed that the accuracy for estimated NDMI and LST was appropriate...
Influence of growing conditions on morphological and anatomical characteristics of pine needles in the northern taigaOriginal Paper
Olga N. Tyukavina, Nikolay A. Neverov, Denis N. Klevtsov
J. For. Sci., 2019, 65(1):33-39 | DOI: 10.17221/126/2018-JFS
The aim of the study was to determine the adaptive characteristics of pine needles associated with age and different growing conditions. The length of the needles decreases and its variability reduces with increasing dryness and poverty of the soil. In oppressed trees, the coefficient of variability of the length of the needles on the tree is 8%. The coefficient of variation in the length of needles approaching 20% will indicate the best conditions for the growth of a particular tree. Trends of the dependence of width and thickness of needles on growing conditions were not identified. The area of needles in pine forests with optimal water regime of...