Template-Type: ReDIF-Article 1.0 Author-Name: Jamshid Eslamdoust Author-Workplace-Name: Department of Forestry, Faculty of Natural Resources, Tarbiat Modares University, Tehran, Iran Author-Name: Seyed Mohsen Hosseini Author-Workplace-Name: Department of Forestry, Faculty of Natural Resources, Tarbiat Modares University, Tehran, Iran Author-Name: Fatemeh Kardel Author-Workplace-Name: Department of Environmental Sciences, Faculty of Sciences, University of Mazandaran, Babolsar, Mazandaran, Iran Title: Responses in leaf water status of Quercus castaneifolia C.A.Mey and Carpinus betulus L. exposed to cement dust pollution in Northern Iran Abstract: Industrial air pollution, particularly cement dust, affects the leaf water status and resource utilisation and finally decreases primary production. Evaluating the relative water content (RWC), leaf mass per unit area (LMA), specific leaf area (SLA), and leaf water per unit area (LWA) helps selecting more tolerant species for dusty polluted areas. In this study, we compare two species of Quercus castaneifolia C.A.Mey and Carpinus betulus L. in a polluted site (PL) around a cement factory, and a unpolluted site (UPL) in Mazandaran province, Northern Iran. Ten individual trees of each species were tagged at each site, and twenty fully developed leaves were collected for further analysis and calculation. Based on the results, RWC and LWA were significantly lower in the PL site (61.0% and 0.0075 g.cm-2, respectively) compared to the UPL site (71.1% and 0.0114 g.cm-2, respectively) for Q. castaneifolia. However, no significant differences were observed in selected variables between PL and UPL sites for C. betulus. Among the studied variables, SLA was significantly higher in C. betulus (259.1 cm2.g-1) compared to Q. castaneifolia (189.8 cm2.g-1). Our results indicated that C. betulus responds better to dust pollution in terms of leaf water variables. Keywords: Hyrcanian forest, primary production, resource utilisation, specific leaf area, transpiration Journal: Journal of Forest Science Pages: 325-333 Volume: 69 Issue: 8 Year: 2023 DOI: 10.17221/14/2023-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/14/2023-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-202308-0001.txt Handle: RePEc:caa:jnljfs:v:69:y:2023:i:8:id:14-2023-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Tomáš Čihák Author-Workplace-Name: Forestry and Game Management Research Institute, Jíloviště, Czech Republic Author-Name: Monika Vejpustková Author-Workplace-Name: Forestry and Game Management Research Institute, Jíloviště, Czech Republic Title: Comparison of nutrient and carbon stocks in the aboveground biomass of mature silver fir (Abies alba Mill.) and Norway spruce (Picea abies L. Karst) stands Abstract: The aim of the study was to compare the stock of essential nutrients and carbon in the aboveground biomass of mature stands of silver fir and Norway spruce. A comparison was carried out for 14 mixed stands of spruce and fir. The tree-level dendrometric characteristics were taken from experimental measurements or were generated using the SIBYLA growth simulator. The amount of biomass was calculated using allometric equations. Samples of stem wood, stem bark, and needles were taken and analysed for carbon, nitrogen, calcium, magnesium, potassium, phosphorus, and sulphur concentrations. Using biomass data, the concentrations of the elements were converted into the stock at the stand level. Overall, spruce fixes a greater amount of carbon. The difference is in the carbon allocation, where fir allocates more carbon in the crown and spruce in the stem. Fir needles contain a greater amount of nutrients than spruce needles. A higher supply of phosphorus, nitrogen, and especially potassium was found in the stem wood and bark of fir, the amount of which is more than twice that of spruce. The stem wood of spruce, on the other hand, fixes more calcium and magnesium. As part of the study, linear regression models predicting the stock of nutrients and carbon depending on the stand basal area were parameterised. Keywords: allometric models, needle biomass, nutrient content, stem bark biomass, stem wood biomass Journal: Journal of Forest Science Pages: 334-347 Volume: 69 Issue: 8 Year: 2023 DOI: 10.17221/37/2023-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/37/2023-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-202308-0002.txt Handle: RePEc:caa:jnljfs:v:69:y:2023:i:8:id:37-2023-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Nuray Öztürk Author-Workplace-Name: Department of Forest Engineering, Faculty of Forestry, Düzce University, Düzce, Türkiye Author-Name: Beşir Yüksel Author-Workplace-Name: Department of Forest Engineering, Faculty of Forestry, Düzce University, Düzce, Türkiye Title: First report of Thanasimus femoralis (Zetterstedt, 1828) (Coleoptera: Cleridae) in forest nursery in the Western Black Sea Region of Türkiye Abstract: In this study, the first observation of Thanasimus femoralis was conducted in Türkiye. Adults of T. femoralis and Thanasimus formicarius were collected from pheromone traps together with Ips sexdentatus, Ips acuminatus, Ips mannsfeldi and Scolytus intricatus in forest nurseries located in the Western Black Sea Region, between 2021 and 2022. The clerid and bark beetles were morphologically described. The aedeagus and antennae of T. femoralis were observed by scanning electron microscopy. Keywords: clerid beetle, Curculionidae, forest nursery, pheromone trap, predator Journal: Journal of Forest Science Pages: 360-365 Volume: 69 Issue: 8 Year: 2023 DOI: 10.17221/50/2023-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/50/2023-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-202308-0003.txt Handle: RePEc:caa:jnljfs:v:69:y:2023:i:8:id:50-2023-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Tomáš Mikita Author-Workplace-Name: Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic Author-Name: Zdeněk Patočka Author-Workplace-Name: Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic Author-Name: Elizaveta Avoiani Author-Workplace-Name: Department of Forest Management and Applied Geoinformatics, Faculty of Forestry and Wood Technology, Mendel University in Brno, Brno, Czech Republic Title: Sap flow modelling based on global radiation and canopy parameters derived from a digital surface model Abstract: Sap flow represents water transport from roots to leaves through the xylem and is used to describe tree transpiration. This paper proposed and tested a procedure to estimate sap flow by calculating global radiation in a digital model of the tree canopy surface obtained by unmanned aerial vehicle imaging. The sap flow of nine trees was continuously measured in the field. In the digital surface model, individual canopies were automatically delineated, their parameters were determined and the global radiation incident on their surface on specific days was calculated. A polynomial relationship was found between sap flow and the calculated incident solar radiation during the morning hours with a coefficient of determination of 0.98, as well as a linear relationship between the decrease in radiation and sap flow during the afternoon with a correlation coefficient of 0.99. Using the Random Forest machine learning method, a model predicting the sap flow of the trees was created based on the global radiation and canopy parameters determined from the digital surface model of tree canopies. The resulting model was deployed on additional days and compared to field measurements of sap flow, achieving a correlation coefficient of 0.918. In addition, two linear regression models were created for a tree group, achieving coefficients of determination of 0.66 and 0.90. Keywords: GIS, Random Forest, remote sensing, solar radiation, transpiration, unmanned aircraft vehicle (UAV) Journal: Journal of Forest Science Pages: 348-359 Volume: 69 Issue: 8 Year: 2023 DOI: 10.17221/191/2022-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/191/2022-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-202308-0004.txt Handle: RePEc:caa:jnljfs:v:69:y:2023:i:8:id:191-2022-JFS