Classification of birch forests of southern and middle taiga of the Komi Republic. I. Betuleta Herbosa

2001 ◽  
pp. 3-37 ◽  
Author(s):  
S. V. Degteva
Keyword(s):  
Komi Republic ◽  
Birch Forest ◽  
Middle Taiga ◽  
Herb Layer ◽  
Forest Types ◽  
Species Dominance ◽  
Plant Associations ◽  
Birch Forests

As a result of classification of the Komi Republic birch forests (within the southern and middle taiga subzones) the 5 birch forest types (grass, feathermoss, hairmoss, grass-peatmoss, and peatmoss), which are considered systems of associations in given type of habitat were distinguished. The birch stands of the grass type are considered in the present paper. The 16 plant associations are distinguished and characterized on the basis of species dominance in the herb layer and the combination of ecological-phytocoenotic groups of correlated species.

scholarly journals Comparison of macrofungi communities anti examination of macrofungi-plant interactions in forest stands in North Hungary

2005 ◽  
Vol 11 (2) ◽  
Author(s):  
L. Benedek ◽  
F. Pál-Fám ◽  
J. Nagy
Keyword(s):  
Soil Properties ◽  
Great Influence ◽  
Fungal Communities ◽  
Plant Interactions ◽  
Forest Types ◽  
Forest Stands ◽  
Plant Associations ◽  
Forestry Management ◽  
Layer Composition

Parallel phyto- and mycocoenological investigations have been made since 2001 in all characteristic forest types in Borzsony Mts., North Hungary. The main aim of this work was the examination of similarities between plant and fungal communities, as well as the plant—fungi connections within certain habitats. Among the total 381 macrofungi species documented, 330 occurred in the investigated 7 forest stands. Wood-inhabiting fungal communities of coniferous stands can be separated unambiguously from those of deciduous stands. Communities of deciduous stands can be divided into two subgroups: those fructifying in wet and in semidry stands. The main factors which influence the composition of wood inhabiting fungal communities seem to be, in decreasing order: (1) crown layer composition; and (2) soil properties (probably only humidity). Wood-inhabiting fungal communities do not show any relation with the underwood layer of particular plant associations. Amongst soil inhabiting fungal communities, three groups can be separated: (1) those of coniferous stands and alderwood; (2) those of the two climax stands; and (3) those of the two edaphic deciduous stands. Classification of these communities is similar to classification of plants of underwood layers. Probably both are dependent upon soil properties (humidity and pH) of particular habitats, but the range of mycorrhizal partners is also decisive for macrofungi communities. All investigated stands are under forestry management, with low quantity of dead and infected wood, so forestry management type may have a great influence in composition of both wood and soil saprotrophic fungal communities.

Vegetation on technogenic habitats in the far-north taiga and south forest-tundra of the European North-East of Russia. Alliance Chamerio angustifolii–Matricarion hookeri A. Ishbirdin et al. 1996

2019 ◽  
pp. 77-94
Author(s):  
I. A. Likhanova ◽  
G. S. Shushpannikova ◽  
L. P. Turubanova
Keyword(s):  
Komi Republic ◽  
Oil Fields ◽  
Soil Enrichment ◽  
Far North ◽  
North East ◽  
European North ◽  
Ecological Scales ◽  
Floristic Classification ◽  
Made In

The results of floristic classification of technogenic vegetation (alliance Chamerio angustifolii–Matricarion hookeri A. Ishbirdin et al. 1996, order Chamerio–Betuletalia nanae Khusainov et al. in Sumina 2012, class Matricario–Poetea arcticae A. Ishbirdin in Sumina 2012) conducted by the Braun-Blanquet method (Braun-Blanquet, 1964; Mirkin, Naumova, 1998) are given. 98 geobotanical relevés, made in 1981–2013 on areas of oil fields and suburbs of the Usinsk city (Komi Republic) (56–60о N, 67–66о E), were involved into analysis (Fig. 1). The ecological parameters like moisture (F) and mineral nitrogen soil enrichment (N) were assessed using the Ellenberg ecological scales (Ellenberg, 1974).

Numerical classification of French vegetation of Carici caryophylleae – Genistetea lobelii J.-C. Klein 1972

2021 ◽  
Vol 42 ◽  
pp. e68062
Author(s):  
Pauline Delbosc ◽  
Mathieu Le Dez ◽  
Jean-Bernard Bouzillé ◽  
Kevin Cianfaglione ◽  
Frédéric Bioret
Keyword(s):  
Expert System ◽  
Dominant Species ◽  
Numerical Classification ◽  
Distribution Map ◽  
Diagnostic Species ◽  
Plant Associations ◽  
Formal Definitions ◽  
Twinspan Classification ◽  
New Association

Carici-Genistetea lobelii Klein 1972 corresponds to cyrno-sardinian oromediterranean cushion scrub and related grasslands. In France, this class is only present in Corsica and the syntaxonomic scheme is debated among phytosociologists. The aim of this paper is to highlight the main plant associations of Carici-Genistetea lobelii Klein 1972 and to define the diagnostic species for each phytosociological unit. We compiled 519 vegetation plots and we applied EuropeanVegetationChecklist expert system for the classes of European vegetation to retain only vegetation plots belonging to Carici-Genistetea lobelii. We obtained a dataset with 189 vegetation plots and we classified them with Modified TWINSPAN classification. Our analyses recognized 6 plant associations and 3 sub-associations already described in the literature; and to describe a new alliance corresponding to the supra-mediterranean vegetations (Genistion salzmannii), a new association (Brimeuro fastigiatae-Juniperetum nanae) and its sub-association (alnetosum suaveolentis). For each of them, we identified diagnostic, constant and dominant species and produced their distribution map. Formal definitions were then written for each phytosociological unit (from subassociation to class) and grouped in an expert system to automatically classify the vegetations of Carici-Genistetea lobelii.

scholarly journals IDENTIFICATION AND CLASSIFICATION OF FOREST TYPES USING DATA LANDSAT 8 IN KARO, DAIRI, AND SAMOSIR DISTRICTS, NORTH SUMATRA

2017 ◽  
Vol 13 (2) ◽  
pp. 139
Author(s):  
Heru Noviar ◽  
Tatik Kartika
Keyword(s):  
Rehabilitation Program ◽  
Landsat 8 ◽  
Secondary Forests ◽  
Forest Types ◽  
Forest Classification ◽  
Hybrid Classification ◽  
Land Covers ◽  
Using Data ◽  
Identification Techniques

Forests have important roles in terms of carbon storage and other values. Various studies have been conducted to identify and distinguish the forest from non-forest classes. Several forest types classes such as secondary forests and plantations should be distinguished related to the restoration and rehabilitation program for dealing with climate change. The study was carried out to distinguish several classes of important forests such as the primary dryland forests, secondary dryland forest, and plantation forests using Landsat 8 to develop identification techniques of specific forests classes. The study areas selected were forest areas in three districts, namely Karo, Dairi, and Samosir of North Sumatera Province. The results showed that using composite RGB 654 of Landsat 8 imagery based on test results OIF for the forest classification, the forests could be distinguished with other land covers. Digital classification can be combined with the visual classification known as a hybrid classification method, especially if there are difficulties in border demarcation between the two types of forest classes or two classes of land covers.

MORPHOLOGICAL STRUCTURE AND SOME AGROPHYSICAL PROPERTIES OF SANDY LOAM AND LOAMY GRAY FOREST SOILS OF THE BIE-CHUMYSH UPLAND UNDER THE BIRCH FOREST

2021 ◽  
pp. 46-50
Author(s):  
Yu.V. Bekhovykh ◽  
◽  
E.G. Sizov
Keyword(s):  
Forest Soils ◽  
Sandy Loam ◽  
Morphological Structure ◽  
Birch Forest ◽  
Woody Vegetation ◽  
Gray Forest Soils ◽  
Research Goal ◽  
Birch Forests

The research goal was to study the morphological structure and some agrophysical properties of the gray forest soils of the Bie-Chumysh Upland under a birch forest. The study showed that under the birch forests, loamy and sandy loam soils were formed, belonging to the type of gray forest soils. All studied ag-rophysical characteristics are typical for this type of soil. The morphological structure also corresponds to the type of soil with clear signs of woody vegetation.

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).

A synopsis of the bryocorine tribes (Heteroptera : Miridae : Bryocorinae): key, diagnoses, hosts and distributional patterns

2018 ◽  
Vol 32 (4) ◽  
pp. 866 ◽  
Author(s):  
Fedor V. Konstantinov ◽  
Anna A. Namyatova ◽  
Gerasimos Cassis
Keyword(s):  
Host Plant ◽  
Tabular Form ◽  
Morphological Heterogeneity ◽  
Plant Associations ◽  
Phylogenetic Studies ◽  
Distributional Patterns ◽  
Five Tribes

The higher classification of the mirid subfamily Bryocorinae has received comparatively little attention. It is not highly species-rich in comparison with other mirid subfamilies but does exhibit extraordinary morphological heterogeneity. In this work we provide a synthesis of the subfamily on a global basis, providing a new key and updated diagnoses of supraspecific taxa. Five tribes are recognised: Bryocorini, Dicyphini, Eccritotarsini, Felisacini and Monaloniini. The genus Campyloneura Fieber is transferred from the tribe Dicyphini to the Eccritotarsini. Analysis of distributional patterns and a survey of host plant associations are provided. Available data on distribution of the main bryocorine lineages are summarised in tabular form and evaluated using UPGMA methods, and geographically structured patterns were detected. The synthesis will enable users to identify bryocorines to tribal level with confidence and provides a classificatory framework for future revisionary and phylogenetic studies.

Ecosystem management applications of resource objective wildfires in forests of the Grand Canyon National Park, USA

2020 ◽  
Vol 29 (2) ◽  
pp. 190
Author(s):  
Michael T. Stoddard ◽  
Peter Z. Fulé ◽  
David W. Huffman ◽  
Andrew J. Sánchez Meador ◽  
John Paul Roccaforte
Keyword(s):  
Ponderosa Pine ◽  
Grand Canyon ◽  
Canopy Cover ◽  
Basal Area ◽  
Natural Disturbance ◽  
Forest Types ◽  
Mixed Conifer ◽  
Species Dominance ◽  
Management Objectives ◽  
Large Trees

Forest managers of the western United States are increasingly interested in utilising naturally ignited wildfires to achieve management objectives. Wildfires can accomplish a range of objectives, from maintenance of intact ecological conditions, to ecosystem restoration, to playing vital natural disturbance roles; however, few studies have carefully evaluated long-term effectiveness and outcomes of wildfire applications across multiple forest types. We remeasured monitoring plots more than 10 years after ‘resource objective’ (RO) fires were allowed to burn in three main south-western forest types. Results showed minimal effects and effective maintenance of open conditions in an intact pine-oak site. Higher-severity fire and delayed mortality of larger and older trees contributed to reductions in basal area and canopy cover at the mixed-conifer and spruce-fir sites. Species dominance shifted towards ponderosa pine in both the mixed-conifer and spruce-fir sites. Although fires resulted in 46–68% mortality of smaller trees initially, substantial ingrowth brought tree density to near pre-fire levels in all forest types after 12 years. Overall, the 2003 RO fires were broadly successful at maintaining or creating open and heterogeneous conditions and resulted in fire- and drought-tolerant species composition. These conditions are likely to be resilient to changing climate, at least in the short term. Substantial mortality of large trees and continuing loss of basal area, however, are a concern, given further climate warming.

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