scholarly journals DETERMINATION OF PINUS SYLVESTRIS L. TRUNK DIAMETER BASED ON STUMP DIAMETER IN DIFFERENT BOREAL CONIFEROUS FOREST CONDITIONS OF PERMSKII KRAI (RUSSIA)

AGROFOR ◽  
2018 ◽  
Vol 2 (2) ◽  
Author(s):  
Aleksandr ROMANOV ◽  
Victoria BUTORINA
Keyword(s):  
Pinus Sylvestris ◽  
Forest Type ◽  
Coniferous Forest ◽  
Urban Forestry ◽  
Stand Density ◽  
Southern Taiga ◽  
Middle Taiga ◽  
Forest Plot ◽  
Forest Types ◽  
Trunk Diameter

Sometimes there are situations when it is necessary to determine the size of cutlogs in the logging area in its absence. Mostly such situations arise in the detectionof illegal logging. They can also occur in the case legal harvesting, when the tenantof a forest plot does not receive the scheduled volumes of timber for which he paidthe money. In this case, the diameters of the felled trees are determined by the treestumps. Recalculation of diameters is carried out on special tables developed in theearly 20th century. Studies conducted in Krasnoyarsk, Khabarovsk, Bryansk(Russia), Gomel (Belarus), showed the need to refine the data of scaling tables forlocal conditions. Large discrepancies between actual and tabular trees appear withthe increasing diameter of the tree. Studies of the relation of the formation of thebutt log of pine (Pinus sylvestris L.) in the Perm region was carried out in 2015-2016. Forest plots were selected in different forest types of the middle taiga(Nirobskii forestry) and southern taiga (Perm urban forestry). Measurement of treeswas carried out in pure pine stands at the age of 75-130 years. The stand density ofthe plantings was of 0.6-0.8. In each forest type the replication of studies wasthreefold. Studies have shown that trunks of pines formed a fuller bole in the Permregion, than the established scaling tables. For trees 40cm in diameter,recalculation leads to underestimation of the pine tree trunk diameter by 1-2diameter class. That is understating the actual volume of felled tree by (16-20 %).There were no significant differences in the formation of the pine bole between theforest zones or by the corresponding types of forest. Also, there were no significantdifferences between forest types, which allows using a single conversion scale forthe taiga part of the Perm Territory. Due to the fact that the relative completenessof the comparative stands were close, the influence of the distance between thetrees on the development of the butt of pine trunks was not detected.

scholarly journals Age structure of coniferous saplings in mountain old-growth forests of the Middle Urals

2021 ◽  
Vol 265 ◽  
pp. 01024
Author(s):  
Natalya Ivanova ◽  
Irina Petrova
Keyword(s):  
Old Age ◽  
Age Structure ◽  
Forest Type ◽  
Coniferous Forest ◽  
Pine Forests ◽  
Coniferous Forests ◽  
Middle Urals ◽  
Forest Types ◽  
Ural Mountains ◽  
The Middle Urals

The processes of natural reforestation play a crucial role for the preservation of primary coniferous forests and the success of their restoration after catastrophic impacts. The objective of our research was to identify the features of the natural renewal of the main coniferous forest-forming plants under the canopy of stands in the mountains of the Middle Urals, to establish dependencies on the forest type not only the total number of tree saplings, but also its age structure. The research was carried out in the mountainous part of the Sverdlovsk region (Russia) on the eastern macroslope of the Ural Mountains. We studied old-age pine forests, which belong to the 4 most common forest types. The tree saplings were counted into account on 2-4 subplots with a length of 20 meters and a width of 2 meters. It is established that under the canopy of all types of forest there is a different age coniferous saplings, despite significant differences in habitats. The most abundant pine saplings are found in pine forests with Vaccinium vitis-idaea, and the most abundant spruce saplings is found in pine forest with spruce and moss cover.

Susceptibility of balsam fir to spruce budworm defoliation as affected by thinning

1979 ◽  
Vol 9 (3) ◽  
pp. 428-435 ◽  
Author(s):  
Gregory W. Crook ◽  
Paul E. Vézina ◽  
Yvan Hardy
Keyword(s):  
Forest Type ◽  
Coniferous Forest ◽  
Basal Area ◽  
Spruce Budworm ◽  
White Spruce ◽  
Balsam Fir ◽  
Stand Age ◽  
Forest Types ◽  
Mixed Stands ◽  
Number Of Stems

Spruce budworm, Choristoneurafumiferana (Clemens), defoliation of balsam fir, Abiesbalsamea (L.) Mill., was studied in thinned stands of the Lower St. Lawrence region of Quebec. The object of the study was to quantify defoliation levels in treated and control plots in order to determine what effect, if any, thinning had on the susceptibility of balsam fir.Three main forest types were studied: (a) coniferous, (b) mixed, and (c) hardwood with a fir understory. The coniferous forest type was subdivided into three types: (1) pure balsam fir; (2) balsam fir – white spruce, Piceaglauca (Moench) Voss; (3) balsam fir – hardwoods. Defoliation levels were estimated using two current techniques: the Dorais–Hardy (1976) and the Fettes (1950) methods.Susceptibility of balsam fir to spruce budworm defoliation was not affected after thinning in coniferous and hardwood forest types; however, susceptibility was increased in mixed stands when part of the hardwood cover was removed. In any situation, defoliation of fir was found to be more intense with an increase of the basal area of the coniferous species (balsam fir, red spruce, Picearubens Sarg., and white spruce) while an increase of the basal area of hardwoods resulted in lower defoliation levels; likewise, a higher number of stems per hectare brought higher defoliation levels of fir. Defoliation was also found to vary with stand composition; susceptibility of fir in the three main cover types decreased in the following order: (a) coniferous, (b) mixed, (c) hardwood. Stand age was not a factor influencing the susceptibility of balsam fir for the two age classes studied (30 and 50 years).

scholarly journals Effects of Urban Forest Types and Traits on Soil Organic Carbon Stock in Beijing

Forests ◽  
2021 ◽  
Vol 12 (4) ◽  
pp. 394
Author(s):  
Xinhui Xu ◽  
Zhenkai Sun ◽  
Zezhou Hao ◽  
Qi Bian ◽  
Kaiyue Wei ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Organic Carbon ◽  
Carbon Stock ◽  
Urban Forest ◽  
Coniferous Forest ◽  
Predictor Variable ◽  
Urban Forests ◽  
Least Squares Regression ◽  
Forest Types ◽  
Organic Carbon Stock

Forests can affect soil organic carbon (SOC) quality and distribution through forest types and traits. However, much less is known about the influence of urban forests on SOC, especially in the effects of different forest types, such as coniferous and broadleaved forests. Our objectives were to assess the effects of urban forest types on the variability of SOC content (SOC concentration (SOCC) and SOC density (SOCD)) and determine the key forest traits influencing SOC. Data from 168 urban forest plots of coniferous or broadleaved forests located in the Beijing urban area were used to predict the effects of forest types and traits on SOC in three different soil layers, 0–10 cm, 10–20 cm, and 20–30 cm. The analysis of variance and multiple comparisons were used to test the differences in SOC between forest types or layers. Partial least squares regression (PLSR) was used to explain the influence of forest traits on SOC and select the significant predictors. Our results showed that in urban forests, the SOCC and SOCD values of the coniferous forest group were both significantly higher than those of the broadleaved group. The SOCC of the surface soil was significantly higher than those of the following two deep layers. In PLSR models, 42.07% of the SOCC variance and 35.83% of the SOCD variance were explained by forest traits. Diameter at breast height was selected as the best predictor variable by comparing variable importance in projection (VIP) scores in the models. The results suggest that forest types and traits could be used as an optional approach to assess the organic carbon stock in urban forest soils. This study found substantial effects of urban forest types and traits on soil organic carbon sequestration, which provides important data support for urban forest planning and management.

scholarly journals The woody flora of Shettihalli Wildlife Sanctuary, central Western Ghats of Karnataka, India - A checklist

2021 ◽  
Vol 13 (13) ◽  
pp. 20033-20055
Author(s):  
Naveen Babu Kanda ◽  
Kurian Ayushi ◽  
Vincy K. Wilson ◽  
Narayanan Ayyappan ◽  
Narayanaswamy Parthasarathy
Keyword(s):  
Western Ghats ◽  
Forest Cover ◽  
Forest Type ◽  
Human Impacts ◽  
Forest Types ◽  
Wildlife Sanctuary ◽  
Peninsular India ◽  
Ecological Features ◽  
Central Western Ghats ◽  
The Western Ghats

Documenting the biodiversity of protected areas and reserve forests is important to researchers, academicians and forest departments in their efforts to establish policies to protect regional biodiversity. Shettihalli Wildlife Sanctuary (SWS) is an important protected area located in the central Western Ghats of Karnataka state known for its diverse flora and fauna with distinct ecological features. For the last four decades the sanctuary has witnessed the loss of forest cover, yet the vegetation in few locations is relatively undisturbed. The current inventory was undertaken during 2019–2020 to provide a checklist of woody species from SWS under-researched earlier. The list comprises 269 species of trees, lianas and shrubs distributed in 207 genera and 68 families. The most diverse families are Fabaceae, Moraceae, Rubiaceae, Rutaceae, Lauraceae, Apocynaceae, Meliaceae, Malvaceae, Phyllanthaceae, and Anacardiaceae, representing 48% of total woody flora. The sanctuary shelters 263 native and six exotic plant species. Thirty-nine species were endemic to the Western Ghats, five species to peninsular India and one species to the Western Ghats and Andaman & Nicobar Islands. Four forest types, i.e., dry deciduous, moist deciduous, semi-evergreen, and evergreen forests, are represented in the sanctuary. Of the total species, only seven occurred in all forest types, while 111 species are exclusive to a single forest type. One-hundred-and-four taxa were assessed for the International Union for Conservation of Nature & Natural Resources (IUCN) Red List. Ten species that fall under Near Threatened, Vulnerable, and Endangered categories were encountered occasionally. The baseline data generated on plant diversity will be useful in highlighting the importance of these forests for species conservation and forest management. Such data form a cornerstone for further research. For instance, to understand the effect of invasive species and human impacts on the diversity of the region. 

scholarly journals Terrestrial Carbon Stock Potential in Selected Forest in Bhutan, India and Nepal

2021 ◽  
pp. 21-32
Author(s):  
Kezang Choden ◽  
Bhagat Suberi ◽  
Purna Chettri
Keyword(s):  
Climate Change ◽  
Forest Management ◽  
Carbon Stock ◽  
Sustainable Forest Management ◽  
Regional Scale ◽  
Stand Density ◽  
Forest Products ◽  
Forest Types ◽  
Sequestration Potential ◽  
The Government

Forests are natural carbon reservoirs that play an important role in the global carbon cycle for storing large quantities of carbon in vegetation and soils. Carbon stored in pool helps in mitigating climate change by carbon sequestration. The vulnerable countries to changing climate such as Bhutan, Nepal, and India require a full understanding of carbon dynamics as well as baseline data on carbon stock potential to mitigate anticipated risks and vulnerabilities (RVs) through climate change. The scope of such RVs are trans boundary in nature, however, the comparative studies at regional scale are still scanty. Therefore, the aim of this review is to assess the carbon stock potentials of selected forest types in the eastern Himalayan area, with an emphasis on Bhutan, India, and Nepal. This review paper is based on published articles, information from websites and considerable data from National forestry reports of India and Bhutan; emphasizing on aboveground biomass and soil organic carbon stock. The review showed that carbon stock potential is highly dependent on stand density, above-ground biomass, species richness and forest types. The sub-tropical forest was found to have larger carbon capacity and sequestration potential. SOC concentration and tree biomass stocks were significantly higher at the high altitude where there is less human disturbance. In general, forest coverage has increased compare to previous year in Bhutan, India and Nepal which ultimately leads to higher carbon stock potential. It is mainly due to strong policies and different strategies for conservation of forest management have reduced mass destruction despite a growing population. Despite the rules, deforestation continues to occur at various scales. However, it can be stated that the government and citizens are working hard to increase carbon stock potential, mostly through afforestation and community forest creation. In addition, it is recommended to practice sustainable forest management, regulated and planned cutting of trees and proper forest products utilization.

Habitat Use by Arboreal Mammals along an Environment Gradient in North-eastern Victoria

1991 ◽  
Vol 18 (2) ◽  
pp. 125 ◽  
Author(s):  
AF Bennett ◽  
LF Lumsden ◽  
JSA Alexander ◽  
PE Duncan ◽  
PG Johnson ◽  
...  
Keyword(s):  
Habitat Use ◽  
Environmental Gradient ◽  
Forest Type ◽  
High Elevation ◽  
Annual Rainfall ◽  
Distributional Pattern ◽  
Forest Types ◽  
Phascolarctos Cinereus ◽  
North Eastern ◽  
Arboreal Mammal

A total of 1487 observations of nine species of arboreal mammal, Acrobates pygmaeus, Phascolarctos cinereus, Petauroides volans, Petaurus australis, P. breviceps, P. norfolcensis, Pseudocheirusperegrinus, Trichosurus caninus and T. vulpecula, were made during surveys of the vertebrate fauna of northeastern Victoria. Habitat use by each species was examined in relation to eight forest types that occur along an environmental gradient ranging from sites at high elevation with a high annual rainfall, to sites on the dry inland and riverine plains. Arboreal mammals were not evenly distributed between forest types. Three species (P. australis, P. volans and T. caninus) were mainly associated with moist tall forests; two species (P. norfolcensis and T. vulpecula) were primarily associated with drier forests and woodlands of the foothills; the remaining three species (A. pygmaeus, P. breviceps and P. peregrinus) occurred widely throughout the forests. The composition of the arboreal mammal assemblage changed along the environmental gradient, but species displayed gradual changes in abundance with forest type rather than marked discontinuities in distributional pattern. The highest overall frequencies of occurrence of arboreal mammals were in forests typically dominated by a mixture of eucalypt species. The position at first sighting of an animal, and the relative height in the forest stratum, were used to describe the micro-habitats utilised. In general, the microhabitats occupied by each species are consistent with the distribution of their known food resources.

Characterizing Canopy Openness Across Large Forested Landscapes Using Spherical Densiometer and Smartphone Hemispherical Photography

2021 ◽  
Author(s):  
Katie L Beeles ◽  
Jordon C Tourville ◽  
Martin Dovciak
Keyword(s):  
United States ◽  
Large Range ◽  
Forest Type ◽  
High Elevation ◽  
Canopy Openness ◽  
Hemispherical Photography ◽  
Forest Types ◽  
Northeastern United States ◽  
Closed Canopy ◽  
The Right

Abstract Canopy openness is an important forest characteristic related to understory light environment and productivity. Although many methods exist to estimate canopy openness, comparisons of their performance tend to focus on relatively narrow ranges of canopy conditions and forest types. To address this gap, we compared two popular approaches for estimating canopy openness, traditional spherical densiometer and modern smartphone hemispherical photography, across a large range of canopy conditions (from closed canopy to large gaps) and forest types (from low-elevation broadleaf to high-elevation conifer forests) across four states in the northeastern United States. We took 988 field canopy openness measurements (494 per instrument) and compared them across canopy conditions using linear regression and t-tests. The extensive replication allowed us to quantify differences between the methods that may otherwise go unnoticed. Relative to the densiometer, smartphone photography overestimated low canopy openness (<10%) but it underestimated higher canopy openness (>10%), regardless of forest type. Study Implications We compared two popular ways of measuring canopy openness (smartphone hemispherical photography and spherical densiometer) across a large range of forest structures encountered in the northeastern United States. We found that, when carefully applied, the traditional spherical densiometer can characterize canopy openness across diverse canopy conditions (including closed canopies) as effectively as modern smartphone canopy photography. Although smartphone photography reduced field measurement time and complexity, it was more susceptible to weather than the densiometer. Although selection of the right method depends on study objectives, we provide a calibration for these two popular methods across diverse canopies.

scholarly journals Boreal coniferous forest density leads to significant variations in soil physical and geochemical properties

2017 ◽  
Vol 14 (14) ◽  
pp. 3445-3459 ◽  
Author(s):  
Carole Bastianelli ◽  
Adam A. Ali ◽  
Julien Beguin ◽  
Yves Bergeron ◽  
Pierre Grondin ◽  
...  
Keyword(s):  
Organic Carbon ◽  
Soil Properties ◽  
Forest Ecosystems ◽  
Coniferous Forest ◽  
Base Cations ◽  
Stand Density ◽  
Environmental Parameters ◽  
Fe Oxides ◽  
Geochemical Properties ◽  
Closed Canopy

Abstract. At the northernmost extent of the managed forest in Quebec, Canada, the boreal forest is currently undergoing an ecological transition between two forest ecosystems. Open lichen woodlands (LW) are spreading southward at the expense of more productive closed-canopy black spruce–moss forests (MF). The objective of this study was to investigate whether soil properties could distinguish MF from LW in the transition zone where both ecosystem types coexist. This study brings out clear evidence that differences in vegetation cover can lead to significant variations in soil physical and geochemical properties.Here, we showed that soil carbon, exchangeable cations, and iron and aluminium crystallinity vary between boreal closed-canopy forests and open lichen woodlands, likely attributed to variations in soil microclimatic conditions. All the soils studied were typical podzolic soil profiles evolved from glacial till deposits that shared a similar texture of the C layer. However, soil humus and the B layer varied in thickness and chemistry between the two forest ecosystems at the pedon scale. Multivariate analyses of variance were used to evaluate how soil properties could help distinguish the two types at the site scale. MF humus (FH horizons horizons composing the O layer) showed significantly higher concentrations of organic carbon and nitrogen and of the main exchangeable base cations (Ca, Mg) than LW soils. The B horizon of LW sites held higher concentrations of total Al and Fe oxides and particularly greater concentrations of inorganic amorphous Fe oxides than MF mineral soils, while showing a thinner B layer. Overall, our results show that MF store three times more organic carbon in their soils (B+FH horizons, roots apart) than LW. We suggest that variations in soil properties between MF and LW are linked to a cascade of events involving the impacts of natural disturbances such as wildfires on forest regeneration that determines the vegetation structure (stand density) and composition (ground cover type) and their subsequent consequences on soil environmental parameters (moisture, radiation rate, redox conditions, etc.). Our data underline significant differences in soil biogeochemistry under different forest ecosystems and reveal the importance of interactions in the soil–vegetation–climate system for the determination of soil composition.

scholarly journals Machine Learning for Tree Species Classification Using Sentinel-2 Spectral Information, Crown Texture, and Environmental Variables

2020 ◽  
Vol 12 (12) ◽  
pp. 2049
Author(s):  
Joongbin Lim ◽  
Kyoung-Min Kim ◽  
Eun-Hee Kim ◽  
Ri Jin
Keyword(s):  
Machine Learning ◽  
South Korea ◽  
Tree Species ◽  
North Korea ◽  
Forest Type ◽  
Forest Area ◽  
Training Data ◽  
Machine Learning Techniques ◽  
Forest Types

The most recent forest-type map of the Korean Peninsula was produced in 1910. That of South Korea alone was produced since 1972; however, the forest type information of North Korea, which is an inaccessible region, is not known due to the separation after the Korean War. In this study, we developed a model to classify the five dominant tree species in North Korea (Korean red pine, Korean pine, Japanese larch, needle fir, and Oak) using satellite data and machine-learning techniques. The model was applied to the Gwangneung Forest area in South Korea; the Mt. Baekdu area of China, which borders North Korea; and to Goseong-gun, at the border of South Korea and North Korea, to evaluate the model’s applicability to North Korea. Eighty-three percent accuracy was achieved in the classification of the Gwangneung Forest area. In classifying forest types in the Mt. Baekdu area and Goseong-gun, even higher accuracies of 91% and 90% were achieved, respectively. These results confirm the model’s regional applicability. To expand the model for application to North Korea, a new model was developed by integrating training data from the three study areas. The integrated model’s classification of forest types in Goseong-gun (South Korea) was relatively accurate (80%); thus, the model was utilized to produce a map of the predicted dominant tree species in Goseong-gun (North Korea).

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