Template-Type: ReDIF-Article 1.0 Author-Name: Aleksey Semenovich OVCHINNIKOV Author-Workplace-Name: Department of Agroecology and Forest Melioration of Landscapes, Faculty of Agricultural Technology, Volgograd State Agrarian University, Volgograd, Russian Federation Author-Name: Evgeniy Aleksandrovich LITVINOV Author-Workplace-Name: Department of Agroecology and Forest Melioration of Landscapes, Faculty of Agricultural Technology, Volgograd State Agrarian University, Volgograd, Russian Federation Author-Name: Aleksandr Sergeevich RULEV Author-Workplace-Name: Federal Science Center of Agroecology, Russian Academy of Science, Volgograd, Russian Federation Author-Name: Sergey Denisovich FOMIN Author-Workplace-Name: Department of Agroecology and Forest Melioration of Landscapes, Faculty of Agricultural Technology, Volgograd State Agrarian University, Volgograd, Russian Federation Author-Name: Maksim Mikhaylovich KOCHKAR' Author-Workplace-Name: Federal Science Center of Agroecology, Russian Academy of Science, Volgograd, Russian Federation Author-Name: Olga Mikhaylovna VOROBEVA Author-Workplace-Name: Department of Agroecology and Forest Melioration of Landscapes, Faculty of Agricultural Technology, Volgograd State Agrarian University, Volgograd, Russian Federation Title: Remote cartographic assessment of the erosion condition of agrolandscapes Abstract: The article provides an assessment methodology of the erosion condition of agricultural landscapes based on remote sensing data. The methodology is based on a multi-parametric cartographic analysis with the use of geoinformation technologies. Currently, only a cartographic image can give a holistic view of the landscape erosion and the processes occurring in them, and resorting to the modern geoinformation systems (GIS) for its obtaining and analysis is becoming a compulsory requirement of our time. The practical use of modern GIS technology in agroforestry practice allows automating the process of working with aero and space images and cartographic materials drawing up, which fully characterize the object of study. Remote cartographic studies have shown that the agricultural landscapes of the Dono-Chirskiy interfluve area need optimizing in land use and integrated agroforestry arrangement. Keywords: geoinformation technologies, geoinformation systems, erosion-control agroforestry complex Journal: Journal of Forest Science Pages: 485-489 Volume: 63 Issue: 11 Year: 2017 DOI: 10.17221/71/2016-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/71/2016-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201711-0001.txt Handle: RePEc:caa:jnljfs:v:63:y:2017:i:11:id:71-2016-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Benyamin MATINNIA Author-Workplace-Name: Department of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Author-Name: Aidin PARSAKHOO Author-Name: Jahangir MOHAMMADI Author-Workplace-Name: Department of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Author-Name: Shaban SHATAEE JOUIBARI Author-Workplace-Name: Department of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Title: Monitoring geometric properties of an existing forest road using airborne Lidar data Abstract: Accurate information about geometric properties of a forest road is essential for the sustainable forestry and transportation safety. In this study the ability of airborne Lidar in detecting vertical and horizontal profiles and cross section elements of a forest road was investigated in a deciduous forest of Hyrcanian zone. Moreover, Lidar-derived road data was compared with field surveyed data by Leica Total Station device. The results indicated that the average error of Lidar in assessing vertical and horizontal profiles of the existing road was 0.57 m and 4.9°, respectively. The average error of Lidar in detecting the roadbed was 0.78 m. Lidar had an average error of 1.36% in assessing the longitudinal gradient. Based on findings of this study it was concluded that geometric properties of existing forest roads can be monitored rapidly under dense tree canopy using high-resolution Lidar data and without field survey. Keywords: vertical profile, cross section, horizontal profiles, total station, roadbed Journal: Journal of Forest Science Pages: 490-495 Volume: 63 Issue: 11 Year: 2017 DOI: 10.17221/95/2017-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/95/2017-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201711-0002.txt Handle: RePEc:caa:jnljfs:v:63:y:2017:i:11:id:95-2017-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Seyed Ata Ollah HOSSEINI Author-Workplace-Name: Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Tehran, Iran Author-Name: Elham Fazeli SHAHROODI Author-Workplace-Name: Department of Forestry, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran Author-Name: Majid LOTFALIAN Author-Workplace-Name: Department of Forestry, Faculty of Natural Resources, Sari Agricultural Sciences and Natural Resources University, Sari, Iran Author-Name: Aidin PARSAKHOO Author-Workplace-Name: Department of Forestry, Faculty of Forest Sciences, Gorgan University of Agricultural Sciences and Natural Resources, Gorgan, Iran Title: Evaluating the effect of biological stabilization on landslide control at the edge of forest road Abstract: Landslide is one of the negative sides of building non-standard roads in forest areas. The aim of the present study was to assess the effect of biological stabilization on landslide at the edge of forest roads in south and north aspects. For this purpose, in Neka forest (Mazandaran province) three treatments including control, sliding and stabilized areas covered by 35-years-old even-aged alder trees were selected. Benchmarking and soil sampling were conducted during three periods including July, November after rainfall events and March after rainfall events. The results showed that the mean movement of landslide in north direction was 9 cm, while this value was 6 cm in south direction. Sliding in north direction was 32% more than that in south direction. Biological stabilization by alder in north and south direction caused a 33 and 66% reduction in landslide movement, respectively. The characteristics of soil mechanics were different between stabilized and sliding areas. Besides, the soil texture in north direction for control and stabilized areas was clay with high liquid limit (CH) and for sliding area it was clay with low liquid limit, while this value in south direction was CH for three treatments of control, stabilized and sliding areas. To plan biological stabilization, the mechanical characteristics of soil, site features, and appropriate plant species should be considered as important factors. Keywords: sliding area, stabilized area, alder trees, soil mechanics, benchmarking Journal: Journal of Forest Science Pages: 496-502 Volume: 63 Issue: 11 Year: 2017 DOI: 10.17221/99/2017-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/99/2017-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201711-0003.txt Handle: RePEc:caa:jnljfs:v:63:y:2017:i:11:id:99-2017-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Sándor KESZTHELYI Author-Name: Zsolt PÓNYA Author-Workplace-Name: Department of Plant Production and Protection, Faculty of Agricultural and Environmental Sciences, Kaposvár University, Kaposvár, Hungary Author-Name: Ferenc PÁL-FÁM Author-Workplace-Name: Department of Plant Production and Protection, Faculty of Agricultural and Environmental Sciences, Kaposvár University, Kaposvár, Hungary Title: Climate-induced seasonal activity and flight period of cerambycid beetles in the Zselic forests, Hungary Abstract: The longhorn beetle fauna (Coleoptera: Cerambycidae) was studied in the Zselic region (Somogy county) in Hungary in seven consecutive years (2009-2015). In total 2,931 specimens were observed and the presence of 83 species was identified during the sampling period. The most abundant species were: Plagionotus arcuatus (Linnaeus, 1758) (pi = 10.542); Cerambyx scopoli Füssli, 1775 (pi = 8.359), Dorcadion aethiops (Scopoli, 1763) (pi = 6.653) and Strangalia melanura (Redtenbacher, 1867) (pi = 6.209). According to our examinations, individual meteorological factors, particularly temperature, directly influenced the dispersal and the activity of longhorn beetles (P = 0.038) as well as the species richness (P = 0.047), as did weather systems formation and movement of air masses, cold and warm fronts. It is also shown that the activity of the insects is influenced by daily weather conditions. The activity of arthropods was higher during warm, dry days and less pronounced during cold, wet ones coupled with high air pressure values. A conspicuous relationship was observable between the appearance of cerambycid beetles and their time period. According to the results of Principal Coordinate Analysis four major groups can be distinguished: early-flight, late spring-flight, summer-flight and late-flight species. Keywords: abiotic factors, abundance, Cerambycidae, activity of adults, faunistic data Journal: Journal of Forest Science Pages: 503-510 Volume: 63 Issue: 11 Year: 2017 DOI: 10.17221/82/2017-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/82/2017-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201711-0004.txt Handle: RePEc:caa:jnljfs:v:63:y:2017:i:11:id:82-2017-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Zohreh MOHAMMADI Author-Workplace-Name: Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran Author-Name: Soleiman MOHAMMADI LIMAEI Author-Workplace-Name: Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran Author-Name: Peter LOHMANDER Author-Workplace-Name: Optimal Solutions, Umeå, Sweden Author-Name: Leif OLSSON Author-Workplace-Name: Department of Information Systems and Technology, Faculty of Sciences, Technology and Media, Mid Sweden University, Sundsvall, Sweden Title: Estimating the aboveground carbon sequestration and its economic value (case study: Iranian Caspian forests) Abstract: The aim of the study is to estimate the aboveground carbon sequestration and to determine the economic value of forests in carbon sequestration as a way of mitigating climate change. This research was conducted at Asalem forests in the north of Iran. In order to estimate the amount of annual carbon sequestration, the annual volume growth of stand was determined using the diameter increment data and tariff. The amount of carbon sequestration was estimated based on wood density and using the allometric equation. The carbon model was obtained for each species. The value of sequestrated carbon in stumpage and the net present value of carbon sequestration were determined in order to estimate the economic value of carbon sequestration. Results indicated that the annual volume growth per hectare and the carbon stored are 6.023 m3.yr-1 and 2.307 t.ha-1, respectively. Finally, the carbon sequestration value of stumpage and the net present value of carbon sequestration are 11,023.753 and 790.361 (10,000 IRR.t-1.ha-1), respectively. Our results are very useful in estimating the total economic value of Asalem forests and other Iranian Caspian forests in the future. Keywords: allometric equation, economic value of carbon, density of wood, forest inventory Journal: Journal of Forest Science Pages: 511-518 Volume: 63 Issue: 11 Year: 2017 DOI: 10.17221/88/2017-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/88/2017-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201711-0005.txt Handle: RePEc:caa:jnljfs:v:63:y:2017:i:11:id:88-2017-JFS Template-Type: ReDIF-Article 1.0 Author-Name: Soleiman MOHAMMADI LIMAEI Author-Workplace-Name: Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh Sara, Iran Author-Name: Peter LOHMANDER Author-Workplace-Name: Optimal Solutions, Umeå, Sweden Author-Name: Leif OLSSON Author-Workplace-Name: Department of Information Systems and Technology, Faculty of Science, Technology and Media, Mid Sweden University, Sundsvall, Sweden Title: Dynamic growth models for continuous cover multi-species forestry in Iranian Caspian forests Abstract: This study concerns some of the relevant topics of the Iranian Caspian forestry planning problem, in particular the first central components in this modelling process, such as forest modelling, forest statistics and growth function estimations. The required data was collected from Iranian Caspian forests. To do so, 201 sample plots were determined and the parameters such as number of trees, tree diameter at breast height and tree height were measured at each sample plot. Three sample plots at different 3 elevations were chosen to measure the tree increment. Data has been used to estimate a modified logistic growth model and a model that describes the growth of the basal area of individual trees as a function of basal area. General function analysis has been applied in combination with regression analysis. The results are interpreted from ecological perspectives. Furthermore, a dynamic multi-species growth model theory is developed and analysed with respect to dynamic behaviour, equilibria, convergence and stability. Logistic growth models have been found applicable for continuous cover forest management optimization. Optimization of management decisions in a changing and not perfectly predictable world should always be based on adaptive optimization. Keywords: forest statistics, forest modelling, growth function, forest management Journal: Journal of Forest Science Pages: 519-529 Volume: 63 Issue: 11 Year: 2017 DOI: 10.17221/32/2017-JFS File-URL: http://jfs.agriculturejournals.cz/doi/10.17221/32/2017-JFS.html File-Format: text/html X-File-Ref: http://agriculturejournals.cz/RePEc/caa/references/jfs-201711-0006.txt Handle: RePEc:caa:jnljfs:v:63:y:2017:i:11:id:32-2017-JFS