scholarly journals Типологічне різноманіття лісів на водозборі річки Сіверський Донець на території Луганської області

2017 ◽  
Vol 7 (3) ◽  
pp. 120-127
Author(s):  
O. B. Bondar ◽  
L. I. Tkach ◽  
O. O. Chuikova ◽  
A. S. Zolotarova
Keyword(s):  
Tree Species ◽  
Age Groups ◽  
Growth Conditions ◽  
Pine Forest ◽  
Forest Growth ◽  
Forest Area ◽  
Conifer Forest ◽  
Nature Protection ◽  
Total Size ◽  
Total Forest Area

Typological analysis of watershed forests of the Seversky Donets River was carried out on the basis of forest management data with electronic databases of "Ukrderzhlisproekt" Production Association. More than 27 types of forest were analyzed with total size of 228.2 thousand hectares. The classification of forest growth conditions, forest types and tree species on the left and right banks of the Seversky Donets River was done for the Luhansk region. We determined that the forest fund of the Luhansk region consists from the oak forests – 46.4 %, sudubrava – 21.1 %, conifer forest – 17.5 %. The proportion of coniferous forests makes up to 15.0 % of total forest area. We calculated that the area of common oak and common pine is 86.9 and 70.9·103 ha respectively. The following types of forests are prevailing: dry birchbark-marple sudubrava (30.8 %), fresh oak-pine sudubrava (13.1%), dry Tatarian maple sudubrava (12.9%), and fresh pine forest (10.6%). In the forest area of the Luhansk region we registered 70 tree species, of which 19 species – in oak-pine forest; 37 – in conifer forest; 55 – in sudubrava; 59 – in oak forest. By categories of protection the recreation forests (51.7 %) and protective forests (42.0 %) are the dominant. The forests of nature protection, forests of scientific, historical and cultural significance have only 6.4 % from the total forest area. The structure of forests by age groups was: middle-aged forests – 41.3 %, young growths – 17.8 %, ripening forests – 15.5 %, mature forests – 16.7 %, and old growth forests – 13.3 % from total forest area of Luhansk region.

Mehr Mut zur Wildnis (Essay) | A more courageous attitude to wilderness (essay)

2010 ◽  
Vol 161 (8) ◽  
pp. 286-290
Author(s):  
Adrian Borgula
Keyword(s):  
Forest Area ◽  
Expert Assessment ◽  
Natural State ◽  
Nature Protection ◽  
Forest Reserves ◽  
Natural Processes ◽  
Wilderness Areas ◽  
Long Time ◽  
Basic Functions ◽  
Total Forest Area

Where nature protection is concerned, the expert assessment of an environment poses questions about its natural and cultural heritage and its potential, about how representative it may be, about biodiversity in all its facets and about its development or potential threats to its existence. Although the forest was the dominant habitat in the original natural European landscape, for a long time nature protection has devoted too little attention to it. There are diverse threats and deficiencies. However, in the Swiss forests positive developments are discernible. Thus nature protection is one of the basic functions of the forest, nature reserves are being created, the area of the forest is increasing, as are reserves of deadwood, and greater importance is being given to regeneration suited to the site. Nevertheless much remains to be done to really achieve the goal of biodiversity and sus-tainability. For this purpose segregative and integrative measures are required. Since diversity needs surface area, in the first place it must be possible to set aside as forest reserves a quarter of the total forest area, spread over the whole country and preferably as natural forest reserves, in order to start the process of a long-term restoration to the natural state. Here the conservation of natural self-regulating processes supersedes classical nature protection. With a series of further integrative measures, biodiversity must also be promoted over the whole remaining forest area and in the areas of transition to other habitats. An abundance of varied structures is the key to diversity of species. A more courageous attitude to wilderness and “untidiness” when dealing with the forest is to be recommended. Nature experiences in wilderness areas give the population the possibility of discovering diversity and natural processes and encourage respect for the innumerable other species and habitats.

scholarly journals Rozsoshentsy forest area of Poltava-city green belt (soil-geobotanical and typological and characteristic)

2015 ◽  
Vol 16 (3-4) ◽  
pp. 18-24
Author(s):  
N. O. Vlasenko
Keyword(s):  
Forest Type ◽  
Sandy Loam ◽  
Growth Conditions ◽  
Forest Growth ◽  
Forest Area ◽  
Forest Types ◽  
White Poplar ◽  
Green Belt ◽  
Bottomland Forests ◽  
Forest Typology

Natural forests have their own ancient history, for this reason, their composition and structure reflect their existing conditions. In the artificial forests, only growth class and plantations general conditions can be in part the indicator of this residence. O. L. Belgard investigated natural biogeocoenosis and artificial cultural geocoenosis and worked up the detailed forest typology. The peculiarity of O. L. Belgard typology is biogeocoenological approach to the understanding and forest investigating based on G. M. Vysotskiy, G. F. Morozov, V. M. Suchkov ideas.  O. L. Belgard accepted the conception of forest biogeocoenosis the components of which are phytocoenosis, zoocoenosis, microbiota, climatope and adaphotope. Rozsoshentsy forestry consists of 87 planning compartments with a total area of 3130.0 hectares, is a part of National Enterprise “Poltava forestry” and is situated on its southern part on the territory of Poltava administrative district and Poltava city. There are no publications in the science literature that could systematically reflect the results of investigations taken place in Rozsoshentsy forest area.  Different scientists in different times investigated particular types of vegetations; the general characteristic of forests was specified in some works. The aim of our work is the forest typology investigation, ecological and biological, typological, soil and geobotanical peculiarities of natural and artificial forests of Rozsoshentsy forest area. For the fist time the investigation of natural and artificial forests of Rozsoshentsy forest area of Poltava-city green belt has been started according to the method of O. L. Belgard forest typology. Groups that were investigated inside the forestry are related to hydrotopes of bottomland forests with long-term flooding, bottomland forests with short-term flooding, noninundated with arena and ravine forests.  The forest type is defined by accessories to specific trophotope and hydrotope and connected with floodplain factor of certain place of existence. The main place in definition of ecotope peculiarities takes vegetations that fully reflect the dimensionality of conditions. There are some plant associations inside the forest type that give an idea about coenosis from the floristic point of view.  One or several associations can correspond to each forest type with direct species structure of tree, bushy and herbaceous layers. Artificial forests typological characteristic based on three taxonomic rank units: forest growth conditions type, ecological structure type and forest stand type. It was found out that the main forest types in structure of investigated forest area are oak, pine, sticky alder and aspen, poplar and birch forests. It means that main forest forming types are six types of wood.  Rozsoshentsy forest area of Poltava-city green belt dendroflora has 33 tree and bushy types, 24 genuses, 14 families, 2 rooms. The most popular forest types on the investigated territory according to the forest typology are new oak and pine trees – 31.9 % , new pine forests – 9.1 %, new and dry maple and linden forests – 27.2 % and 6.3 % correspondently. Forest accounts for 5.3 % of forested areas with excessive wet ground. The investigation that was carried out gave us an opportunity to find out four natural forest vegetation types: (new linden and hornbeam forest with wide grasses), Dn4 (alder forest with moist tall grasses), Dc3 (wet aspen forest with aise-weed), De3 (wet white poplar forest); and two types of artificial forest vegetations: De3 (wet white poplar forest) and AB1 (birch forest with dryish miscellaneous). Different variations of soils have been investigated. It was found out that in investigated natural phytocoenosis the type of forest growth conditions is clay loam with different variations: new (СГ2), wet (СГ3),  moist (СГ4); and wet sandy loam (СП3); in artificial cultural phytocoenosis the sandy loam is wet and dryish. The prevailing soil types on the territory of Rozsoshentsy forestry are dark grey podzolized forest loam, typical chernozem and podzolized hard loamy chernoozem, but in floodplain of the river Vorskla  is a peat-bog soils. The content of humus is 7–8 %. The depth of ground water deposits connected with deposits of brown-red underclay (impermeable horizon) and ranges according to the relief elements and soil degree of erosion from 15 to 34 m. Carbonates are absent in soil of Rozsoshentsy forest area. Water extract analysis tells about the lack of salinity, dry particles ranges between 0.05–0.2 %, PH is mostly alkaline. Detailed ecological and biological characteristics and establishing peculiarities of Rozsoshentsy forest area adaphotope will give an opportunity to reconstruct the existing Poltava-city green belt plantations and organize the stationary investigations with the aim of their employment and saving. 

scholarly journals Method of Estimating Degraded Forest Area: Cases from Dominant Tree Species from Guangdong and Tibet in China

Forests ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 930 ◽  
Author(s):  
Biyun Wu ◽  
Xiang Meng ◽  
Qiaolin Ye ◽  
Ram P. Sharma ◽  
Guangshuang Duan ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Tree Species ◽  
Guangdong Province ◽  
Forest Degradation ◽  
Forest Area ◽  
Forest Site ◽  
Degraded Forest ◽  
Autonomous Region ◽  
Tibet Autonomous Region ◽  
Total Forest Area

Forest degradation has been considered as one of the main causes of climate change in recent years. The knowledge of estimating degraded forest areas without the application of remote sensing tools can be useful in finding solutions to resolve degradation problems through appropriate restoration methods. Using the existing knowledge through literature review and field-based primary information, we generated new knowledge by combining the information obtained from multi-criteria decision analyses with an analytic hierarchy process, and this was then used to estimate degraded forest area. Estimation involves determining forest degradation index (FDI) and degradation threshold. Continuous inventory data of permanent sample plots collected from degraded forests, consisting of various forest types divided by dominant tree species in the Guangdong province and Tibet autonomous region of China, were used for the purposes. We identified four different forest degradation levels through the determination and comprehensive evaluation of FDI. The degraded forest area with broad-leaved species as dominant tree species in the Guangdong province was estimated to be 83.3% of a total forest area of 24,037 km2. In the same province, the degraded forest area with eucalyptus as a dominant tree species was 59.5% of a total forest area of 18,665 km2. In the Tibet autonomous region, the degraded forest area with spruce as a dominant tree species was 99.1% of a total forest area of 17,614 km2, and with fir as a dominant tree species, the degraded area was 98.4% of a forest area of 12,103 km2. A sampling accuracy of forest areas with national forest inventory was about 95% in both provinces. Our study concludes that the FDI method used has a certain scientific rationality in estimating degraded forest area. The forest provides a variety of tangible and intangible goods and services for humans. Therefore, forest management should focus on the improvement of its overall productivity, which is only possible with improving forest site quality. One of the important steps to improve the quality of a forest site is to resolve its degradation issues. The presented method in this article will be useful in finding the solutions to forest degradation problems. This method, which does not need any remote sensing tool, is simple and can be easily applied for estimating any degraded forest area and developing effective forest restoration plans.

scholarly journals Effect of Competition and Climatic Conditions on the Growth of Beech in the Mixed Pine Beech Stand: Lithuanian Case Study

2020 ◽  
Vol 3 (1) ◽  
pp. 49
Author(s):  
Edgaras Linkevičius ◽  
Gerda Junevičiūtė
Keyword(s):  
Intraspecific Competition ◽  
Tree Species ◽  
Forest Growth ◽  
Competition Effect ◽  
Diameter Increment ◽  
Cart Analysis ◽  
Crown Width ◽  
Beech Stand ◽  
Negative Effect ◽  
The Impact

Climate change and warming will potentially have profound effects on forest growth and yield, especially for pure stands in the near future. Thus, increased attention has been paid to mixed stands, e.g., pine and beech mixtures. However, the interaction of tree species growing in mixtures still remains unknown. Thus, the aim of this study was to investigate the impact of the interspecific and intraspecific competition to diameter, height, and crown width of pine and beech trees growing in mixtures, as well as to evaluate the impact of climatic indicators to the beech radial diameter increment. The data was collected in 2017 at the mixed mature pine beech double layer stand, located in the western part of Lithuania. The sample plot of 1.2 hectare was established and tree species, diameter at the breast height, tree height, height-to-crown base, height-to-crown width, and position were measured for all 836 trees. Additionally, a representative sample of radial diameter increments were estimated only for the beech trees by taking out core discs at the height of 1 m when the stand was partially cut. Competition analysis was based on the distance-dependent competition index, which was further based on crown parameters. Climatic effect was evaluated using classification and regression tree (CART) analysis. We found almost no interspecific competition effect to diameter, height, or crown width for both tree species growing in the first layer. However, it had an effect on beeches growing in the second layer. The intraspecific competition effect was important for pine and beech trees, showing a negative effect for both of them. Our results show the possible coexistence of these tree species due to niche differentiation. An analysis of climatic indicators from 1991–2005 revealed that precipitation from February–May of the current vegetation year and mean temperatures from July to September expressed radial diameter increment effects for beech trees. Low temperatures during March and April, as well as high precipitation during January, had a negative effect on beech radial increments. From 2006–2016, the highest effect on radial diameter increments was the mean temperatures from July to September, as well as the precipitation in January of the current year. From 1991–2016, the highest effect on radial diameter increments was the temperature from July to September 1991–2016 and the precipitation in June 1991–2016. Generally, cool temperatures and higher precipitation in June had a positive effect on beech radial increments. Therefore, our results show a sensitivity to high temperatures and droughts during summer amid Lithuanian’s growth conditions.

Ontario's forest growth and yield modelling program: Advances resulting from the Forestry Research Partnership

2008 ◽  
Vol 84 (5) ◽  
pp. 694-703 ◽  
Author(s):  
Mahadev Sharma ◽  
John Parton ◽  
Murray Woods ◽  
Peter Newton ◽  
Margaret Penner ◽  
...  
Keyword(s):  
Tree Species ◽  
Stand Density ◽  
Forest Growth ◽  
Growth And Yield ◽  
Research Partnership ◽  
Wood Supply ◽  
Permanent Sample Plots ◽  
Forestry Research ◽  
Research Activities ◽  
Forest Growth And Yield

The province of Ontario holds approximately 70.2 million hectares of forests: about 17% of Canada’s and 2% of the world’s forests. Approximately 21 million hectares are managed as commercial forests, with an annual harvest in the early part of the decade approaching 200 000 ha. Yield tables developed by Walter Plonski in the 1950s provide the basis for most wood supply calculations and growth projections in Ontario. However, due to changes in legislation, policy, and the planning process, they no longer fully meet the needs of resource managers. Furthermore, Plonski`s tables are not appropriate for the range of silvicultural options now practised in Ontario. In October 1999, the Canadian Ecology Centre- Forestry Research Partnership (CEC-FRP) was formed and initiated a series of projects that collectively aimed at characterizing, quantifying and ultimately increasing the economically available wood supply. Comprehensive, defensible, and reliable forecasts of forest growth and yield were identified as key knowledge gaps. The CEC-FRP, with support from the broader science community and forest industry, initiated several new research activities to address these needs, the results of which are outlined briefly in this paper. We describe new stand level models (e.g., benchmark yield curves, FVS Ontario, stand density management diagrams) that were developed using data collected from permanent sample plots and permanent growth plots established and remeasured during the past 5 decades. Similarly, we discuss new height–diameter equations developed for 8 major commercial tree species that specifically account for stand density. As well, we introduce a CEC-FRP-supported project aimed at developing new taper equations for plantation grown jack pine and black spruce trees established at varying densities. Furthermore, we provide an overview of various projects undertaken to explore measures of site productivity. Available growth intercept and site index equations are being evaluated and new equations are being developed for major commercial tree species as needed. We illustrate how these efforts are advancing Ontario’s growth and yield program and supporting the CEC-FRP in achieving its objective of increasing the supply of fibre by 10% in 10 years while maintaining forest sustainability. Key words: permanent sample plots (PSPs), permanent growth plots (PGPs), normal yield tables, sustainable forest management, NEBIE plot network, forest inventory, Forest Vegetation Simulator

scholarly journals Environmental change impacts on the C- and N-cycle of European forests: a model comparison study

2013 ◽  
Vol 10 (3) ◽  
pp. 1751-1773 ◽  
Author(s):  
D. R. Cameron ◽  
M. Van Oijen ◽  
C. Werner ◽  
K. Butterbach-Bahl ◽  
R. Grote ◽  
...  
Keyword(s):  
Carbon Sequestration ◽  
Central Europe ◽  
Tree Species ◽  
Carbon Sink ◽  
N2o Emission ◽  
Forest Growth ◽  
N2o Emissions ◽  
European Forests ◽  
Considerable Uncertainty ◽  
Carbon And Nitrogen

Abstract. Forests are important components of the greenhouse gas balance of Europe. There is considerable uncertainty about how predicted changes to climate and nitrogen deposition will perturb the carbon and nitrogen cycles of European forests and thereby alter forest growth, carbon sequestration and N2O emission. The present study aimed to quantify the carbon and nitrogen balance, including the exchange of greenhouse gases, of European forests over the period 2010–2030, with a particular emphasis on the spatial variability of change. The analysis was carried out for two tree species: European beech and Scots pine. For this purpose, four different dynamic models were used: BASFOR, DailyDayCent, INTEGRATOR and Landscape-DNDC. These models span a range from semi-empirical to complex mechanistic. Comparison of these models allowed assessment of the extent to which model predictions depended on differences in model inputs and structure. We found a European average carbon sink of 0.160 ± 0.020 kgC m−2 yr−1 (pine) and 0.138 ± 0.062 kgC m−2 yr−1 (beech) and N2O source of 0.285 ± 0.125 kgN ha−1 yr−1 (pine) and 0.575 ± 0.105 kgN ha−1 yr−1 (beech). The European average greenhouse gas potential of the carbon sink was 18 (pine) and 8 (beech) times that of the N2O source. Carbon sequestration was larger in the trees than in the soil. Carbon sequestration and forest growth were largest in central Europe and lowest in northern Sweden and Finland, N. Poland and S. Spain. No single driver was found to dominate change across Europe. Forests were found to be most sensitive to change in environmental drivers where the drivers were limiting growth, where changes were particularly large or where changes acted in concert. The models disagreed as to which environmental changes were most significant for the geographical variation in forest growth and as to which tree species showed the largest rate of carbon sequestration. Pine and beech forests were found to have differing sensitivities to environmental change, in particular the response to changes in nitrogen and precipitation, with beech forest more vulnerable to drought. There was considerable uncertainty about the geographical location of N2O emissions. Two of the models BASFOR and LandscapeDNDC had largest emissions in central Europe where nitrogen deposition and soil nitrogen were largest, whereas the two other models identified different regions with large N2O emission. N2O emissions were found to be larger from beech than pine forests and were found to be particularly sensitive to forest growth.

scholarly journals Impact of forest growth conditions on the wood density: the case of Amur Region

2018 ◽  
Vol 60 (4) ◽  
pp. 292-298
Author(s):  
Natalia A. Romanova ◽  
Alexander B. Zhirnov ◽  
Natalia A. Yust ◽  
Xu Fucheng
Keyword(s):  
Wood Density ◽  
Far East ◽  
Growth Conditions ◽  
Amur Region ◽  
Forest Growth ◽  
Far East Of Russia ◽  
Density Determination ◽  
The Far East ◽  
First Time

Abstract The problem of determining the dependence of the chainsaw on the density of wood, substantiation of effective options for the number of chainsaws in the assortment and whiplash method of logging is quite relevant. In the Far East of Russia, in particular, in the Amur region, the forest growth conditions are different from the western ones, and therefore, the properties of the wood differ from the generally accepted ones. The article describes forest growth conditions that influence the properties of the wood in areas of the Amur region. Using the method of density determination, the density of larch, pine and birch were studied for first time in the areas of the region. The dependence of the density on humidity, age, species, season of the year and the area of growth was found out. The results of the research showed that under humidity of 70%, the density of larch was 1088.99 kg/m3, it was 919.8 kg/m3 for pine and it was for birch 915.9 kg/m3.

scholarly journals KEANEKARAGAMAN JENIS POHON SEBAGAI SALAH SATU INDIKATOR KESEHATAN HUTAN LINDUNG (Studi Kasus di Kawasan Hutan Lindung yang Dikelola oleh HKm Beringin Jaya)

2021 ◽  
Vol 4 (1) ◽  
Author(s):  
Rahmat Safei ◽  
Hari Kaskoyo ◽  
Arief Darmawan ◽  
Fansuri Fikri Haikal
Keyword(s):  
Tree Species ◽  
Life Support ◽  
Great Influence ◽  
Forest Health ◽  
Stable Condition ◽  
Health Condition ◽  
Forest Area ◽  
Main Function ◽  
Biodiversity Indicators ◽  
Protected Forests

Protection forest becomes a forest area with the main function as protection of life support systems. The health condition of protected forests has a great influence on the environment of the ecosystem. It is important to assess the health of protected forests in view of their main function. Thus to determine the health condition of the forest, one indicator that can be used is tree biodiversity. Biodiversity is the richness of life found on earth. Assessment of biodiversity indicators is very necessary to do because it is sensitive to changes, ecological system indicators, spatial heterogeneity, temporal, and and the order in the food chain. This study aims to determine the diversity of tree species in protected forest areas managed by HKm Beringin Jaya as an indicator of forest health assessment. The study was conducted using the Forest Health Monitoring (FHM) method. The results showed that the final value of forest health status with indicators of biodiversity (tree species diversity) in the protected forest area managed by HKm Beringin Jaya was in the good category of 50% in cluster plots (2, 5 and 6) and bad by 50% on cluster plots (1, 3 and 4), thus showing that the protected forest area managed by HKm Beringin Jaya has a fairly healthy (stable) condition with a moderate category.

scholarly journals Plântulas de espécies arbóreas na floresta ciliar do rio Mogi Guaçu, Pirassununga, SP, Brasil

Hoehnea ◽  
2021 ◽  
Vol 48 ◽  
Author(s):  
Israel Henrique Buttner Queiroz ◽  
Ricardo Augusto Gorne Viani ◽  
Renata Sebastiani
Keyword(s):  
River Basin ◽  
Plant Species ◽  
Tree Species ◽  
Riparian Forest ◽  
The State ◽  
Forest Area ◽  
Forest Community ◽  
Adult Individual ◽  
Morphological Aspects ◽  
Forest Remnant

RESUMO The permanence of a plant species in a forest community depends on its number of specimens and its distribution in the various sizes of individuals, including seedlings. Seedlings and seeds from a forest remnant in Pirassununga were collected and analyzed for the degree of threat, possible height of the adult individual, occurrence in phytophysiognomies and region and morphological aspects. 116 seedlings available in 39 morphospecies were collected, and the germination of collected seeds provided 40 species. The present study brought news regarding the morphological aspects, the identification and the distribution of seedlings of tree species in a riparian forest area in the Mogi Guaçu River Basin and in the State of São Paulo.

scholarly journals National mapping and estimation of forest area by dominant tree species using Sentinel-2 data

2020 ◽  
Author(s):  
Johannes Breidenbach ◽  
Lars T. Waser ◽  
Misganu Debella-Gilo ◽  
Johannes Schumacher ◽  
Johannes Rahlf ◽  
...  
Keyword(s):  
Tree Species ◽  
Deciduous Forest ◽  
National Level ◽  
National Forest Inventory ◽  
Forest Area ◽  
Forest Resource ◽  
Species Specific ◽  
Minimum Numbers ◽  
Generate Model ◽  
Sentinel 2

Nation-wide Sentinel-2 mosaics were used with National Forest Inventory (NFI) plot data for modelling and subsequent mapping of spruce-, pine- and deciduous-dominated forest in Norway at a 16m×16m resolution. The accuracies of the best model ranged between 74% for spruce and 87% for deciduous forest. An overall accuracy of 90% was found on stand level using independent data from more than 42,000 stands. Errors mostly resulting from a forest mask reduced the model accuracies by approximately 10%. The produced map was subsequently used to generate model-assisted (MA) and post stratified (PS) estimates of species-specific forest area. At the national level, efficiencies of the estimates increased by 20% to 50% for MA and up to 90% for PS. Greater minimum numbers of observations constrained the use of PS. For MA estimates of municipalities, efficiencies improved by up to a factor of 8 but were sometimes also less than 1. PS estimates were always equally as or more precise than direct and MA estimates but were applicable in fewer municipalities. The tree species prediction map is part of the Norwegian forest resource map and is used, among others, to improve maps of other variables of interest such as timber volume and biomass.

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