Template-Type: ReDIF-Article 1.0 Author-Name: editors Title: LIST OF REVIEWERS - 2018 Journal: Journal of Forest Science Pages: I-II Volume: 65 Issue: 1 Year: 2019 DOI: 10.17221/11625-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/11625-JFS.html File-Format: text/html Handle: RePEc:caa:jnljfs:v:65:y:2019:i:1:id:11625-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Vít Šrámek Author-Name: Věra Fadrhonsová Author-Workplace-Name: Department of Forest Ecology, Forestry and Game Management Research Institute, Jíloviště-Strnady, Czech Republic Author-Name: Kateřina Neudertová Hellebrandová Author-Workplace-Name: Department of Forest Ecology, Forestry and Game Management Research Institute, Jíloviště-Strnady, Czech Republic Title: Nutrition of Douglas-fir in four different regions of the Czech Republic Abstract: 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 foliage discoloration nor the growth suppression has been observed. Sensitive management to ensure the nutritional balance sustainability is proposed. Keywords: Pseudotsuga menziesii, soil chemistry, foliage chemistry, acidification Journal: Journal of Forest Science Pages: 1-8 Volume: 65 Issue: 1 Year: 2019 DOI: 10.17221/130/2018-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/130/2018-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201901-0002.txt Handle: RePEc:caa:jnljfs:v:65:y:2019:i:1:id:130-2018-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Marjan Goodarzi Author-Workplace-Name: Department of Remote Sensing and GIS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran Author-Name: Mehdi Pourhashemi Author-Workplace-Name: Research Institute of Forests and Rangelands, Agricultural Research, Education and Extension Organization (AREEO), Tehran, Iran Author-Name: Zahra Azizi Author-Workplace-Name: Department of Remote Sensing and GIS, Faculty of Natural Resources and Environment, Science and Research Branch, Islamic Azad University, Tehran, Iran Title: Investigation on Zagros forests cover changes under the recent droughts using satellite imagery Abstract: 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 with annual rainfall and the modification of normalized difference water index was correlated with average annual temperature by 75%. Using the numerical value changes of the indices, a map of forest cover change was prepared in four classes; healthy, weak, moderate and severe dieback and the process of its change were compared with the trend of variations in regard with rainfall values in the study period. There was a close relationship between changes in the area of forest cover dieback and rainfall and temperature values. Keywords: oak, decline, Landsat, Lorestan, vegetation index Journal: Journal of Forest Science Pages: 9-17 Volume: 65 Issue: 1 Year: 2019 DOI: 10.17221/61/2018-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/61/2018-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201901-0003.txt Handle: RePEc:caa:jnljfs:v:65:y:2019:i:1:id:61-2018-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Sinan Bulut Author-Name: Alkan Günlü Author-Workplace-Name: Department of Forest Engineering, Faculty of Forestry, Çankiri Karatekin University, Çankiri, Turkey Author-Name: Sedat Keleş Author-Workplace-Name: Department of Forest Engineering, Faculty of Forestry, Çankiri Karatekin University, Çankiri, Turkey Title: Estimation of forest development stage and crown closure using different classification methods and satellite images: A case study from Turkey Abstract: 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 support vector machine (polynomial) method with a 0.94 and 0.88 kappa statistic value, and 95.95 and 91.17% overall accuracy assessments, respectively. Our results demonstrated that IKONOS satellite image and support vector machine (polynomial) method produced a better estimation of SDS and SCC as compared to Landsat 7 ETM+ and other supervised classification methods used in this study. Keywords: supervised classification, stand attributes, support vector machine, artificial neural network, Landsat 7 ETM+, IKONOS Journal: Journal of Forest Science Pages: 18-26 Volume: 65 Issue: 1 Year: 2019 DOI: 10.17221/127/2018-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/127/2018-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201901-0004.txt Handle: RePEc:caa:jnljfs:v:65:y:2019:i:1:id:127-2018-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Marjan Firoozy Nejad Author-Name: Amin Zoratipour Author-Workplace-Name: Department of Range and Watershed Management, Faculty of Natural Resources, Khuzestan Agricultural Sciences and Natural Resources University, Ahvaz, Iran Title: Assessment of LST and NDMI indices using MODIS and Landsat images in Karun riparian forest Abstract: 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 (root mean square error = 3.45). In addition, the used polynomial support vector machine algorithm for classification by four classes (forest, agriculture, river, and others) and the validity of classification in these areas were suitable (overall accuracy = 95%, kappa coefficient = 0.93). Also, the NDMI index was dependent on changes in LST and Pearson coefficients were 0.94 and 0.84 for Landsat 8 and MODIS data, respectively. The average temperature of the area was obtained as 43.22 and 42.77 for Landsat 8 and MODIS, respectively. Finally, more protection of this forest against LST enhancement and reduction in soil moisture is necessary. Keywords: moisture index, temperature, forestry, river, climate, infrared thermal method Journal: Journal of Forest Science Pages: 27-32 Volume: 65 Issue: 1 Year: 2019 DOI: 10.17221/121/2018-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/121/2018-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201901-0005.txt Handle: RePEc:caa:jnljfs:v:65:y:2019:i:1:id:121-2018-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Olga N. Tyukavina Author-Workplace-Name: Department of Biology, Ecology and Biotechnology, Faculty of Natural Sciences and Technology, North (Arctic) Federal University named after M.V. Lomonosov, Arkhangelsk, Russia Author-Name: Nikolay A. Neverov Author-Workplace-Name: Federal Center for Integrated Arctic Research named after N.P. Laverov, Russian Academy of Sciences, Arkhangelsk, Russia Author-Name: Denis N. Klevtsov Author-Workplace-Name: Department of Biology, Ecology and Biotechnology, Faculty of Natural Sciences and Technology, North (Arctic) Federal University named after M.V. Lomonosov, Arkhangelsk, Russia Title: Influence of growing conditions on morphological and anatomical characteristics of pine needles in the northern taiga Abstract: 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 soils (blueberry, cowberry type) varies in the range of 112-124 mm2. In extreme growing conditions pine needles area is reduced by 27-33% and equals 76-86 mm2. These ranges of values of the areas of needles are typical for plantings of the third and fourth classes of age. Changing the width and thickness of the needles is aimed at compensating for changes in the length of the needles in the direction of maintaining the optimal area for these conditions needles. In extreme conditions, the area of the assimilating tissue increases, and the area of the conducting tissue (stele) decreases. Correlation dependences of the area of the stele of needles with the cross-sectional area, with the area of conducting beams, with the number of resin canals and with the cover fabric are revealed. Keywords: needles length, needles area, stele, mesophyll, resin canal, transfusion tissue Journal: Journal of Forest Science Pages: 33-39 Volume: 65 Issue: 1 Year: 2019 DOI: 10.17221/126/2018-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/126/2018-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201901-0006.txt Handle: RePEc:caa:jnljfs:v:65:y:2019:i:1:id:126-2018-JFS