scholarly journals CONCEPTUAL ISSUES OF IMPROVING THE FORESTRY SYSTEM OF REFORESTATION AND ITS USE

ÈKOBIOTEH ◽  
2020 ◽  
Vol 3 (3) ◽  
pp. 457-471
Author(s):  
V.I. Zheldak ◽  
◽  
A.A. Kulagin ◽  
E.V. Doroschenkova ◽  
T.V. Lipkina ◽  
...  
Keyword(s):  
Species Composition ◽  
Natural Regeneration ◽  
Forest Ecosystems ◽  
Forest Vegetation ◽  
Target Species ◽  
Rational Use ◽  
Limited Availability ◽  
Detailed Classification ◽  
Negative Factors

Discusses the principle issues of the maximum rational use of the potential for natural regeneration of target species in operational and protective forests, including in conditions of limited availability for carrying out intensive reforestation and forest care activities. Herewith, in order to improve the species composition, the value of restored forest ecosystems in view to logging, as well as their loss during fires, the spread of pathology and other negative factors, it is planned to use a detailed classification of methods and types of renewal measures, caring for renewed target species plants, expanding the possibilities of using these most important forestry activities. In these purposes formed based on existing advanced classification of activities of renewal on the types and kinds of objects cutting change forest generations, plots covered by forest vegetation to varying degrees as well as complex - with considering methods of renewal forests, species specificity, typology and diversity of the target purpose of forests. A conceptual (principle) composition scheme and content methods and types of renewal forests have been formed based on which provides the ability to choose options the most acceptable, available in specific conditions these forestry activities.

scholarly journals Composition and diversity of psocid (Insecta: Psocoptera) taxocoenoses in forest ecosystems of the Abieti-fageta s. lat. zone in the Western Carpathian Mts.

2009 ◽  
Vol 55 (No. 4) ◽  
pp. 184-192 ◽  
Author(s):  
O. Holuša
Keyword(s):  
Cluster Analysis ◽  
Species Composition ◽  
Correspondence Analysis ◽  
Dominant Species ◽  
Forest Ecosystems ◽  
Forest Type ◽  
Detrended Correspondence Analysis ◽  
Vegetation Zones ◽  
Characteristic Species

Psocid (Psocoptera) taxocoenoses were studied in forest ecosystems of the Western Carpathian Mts. in 1997–2001. As a study frame, vegetation tiers (VT = altitudinal vegetation zones) of geobiocoenological or forest-typological system were used. Lower units of forest typological system (forest type complexes) were used for the classification of ecological conditions and the material found in forest ecosystems of <I>Abieti-fageta</I> s. lat. communities (5<sup>th</sup> fir-beech VT) was evaluated in detail. This VT is the most widespread in the regions under study (the Moravskoslezské Beskydy Mts., the Vsetínské vrchy Hills and Javorníky). 2,023 adults comprising 28 species were found in the 5<sup>th</sup> VT. <I>Caecilius burmeisteri</I> was found as eudominant species; <I>Philotarsus picicornis, Caecilius flavidus</I> and <I>Peripsocus subfasciatus</I> were found as dominant species. In natural geobiocoenoses with the level of naturalness 1 or 2, the following species were found: <I>Mesopsocus unipunctatus, Caecilius flavidus</I>, and <I>Caecilius burmeisteri</I> as eudominant and <I>Caecilius despaxi</I> as dominant. Taxocoenoses of psocids were evaluated by Detrended Correspondence Analysis (DCA) and Divisive Cluster Analysis (DvClA). The axes were interpreted in DCA-analysis as follows: the <I>x</I>-axis denotes the influence of VTs and the <I>q</I>-axis refers to the influence of hydricity. This material was compared with other material obtained from various vegetation tiers in the Western Carpathians Mts. The characteristic species composition of psocids in the 5<sup>th</sup> VT was as follows: <I>Caecilius flavidus – C. burmeisteri – C. despaxi – Metylophorus nebulosus – Philotarsus picicornis</I>.

scholarly journals Finite Mixture Model-based classification of a complex vegetation system

2020 ◽  
Vol 1 ◽  
pp. 77-86
Author(s):  
Fabio Attorre ◽  
Vito E. Cambria ◽  
Emiliano Agrillo ◽  
Nicola Alessi ◽  
Marco Alfò ◽  
...  
Keyword(s):  
Species Composition ◽  
Multidimensional Scaling ◽  
Mixture Model ◽  
Finite Mixture Model ◽  
Forest Vegetation ◽  
Finite Mixture ◽  
Environmental Niche ◽  
Environmental Predictors ◽  
Metric Multidimensional Scaling

Aim: To propose a Finite Mixture Model (FMM) as an additional approach for classifying large datasets of georeferenced vegetation plots from complex vegetation systems. Study area: The Italian peninsula including the two main islands (Sicily and Sardinia), but excluding the Alps and the Po plain. Methods: We used a database of 5,593 georeferenced plots and 1,586 vascular species of forest vegetation, created in TURBOVEG by storing published and unpublished phytosociological plots collected over the last 30 years. The plots were classified according to species composition and environmental variables using a FMM. Classification results were compared with those obtained by TWINSPAN algorithm. Groups were characterized in terms of ecological parameters, dominant and diagnostic species using the fidelity coefficient. Interpretation of resulting forest vegetation types was supported by a predictive map, produced using discriminant functions on environmental predictors, and by a non‐metric multidimensional scaling ordination. Results: FMM clustering obtained 24 groups that were compared with those from TWINSPAN, and similarities were found only at a higher classification level corresponding to the main orders of the Italian broadleaf forest vegetation: Fagetalia sylvaticae, Carpinetalia betuli, Quercetalia pubescenti-petraeae and Quercetalia ilicis. At lower syntaxonomic level, these 24 groups were referred to alliances and sub-alliances. Conclusions: Despite a greater computational complexity, FMM appears to be an effective alternative to the traditional classification methods through the incorporation of modelling in the classificatory process. This allows classification of both the co-occurrence of species and environmental factors so that groups are identified not only on their species composition, as in the case of TWINSPAN, but also on their specific environmental niche. Taxonomic reference: Conti et al. (2005). Abbreviations: CLM = Community-level models; FMM = Finite Mixture Model; NMDS = non‐metric multidimensional scaling.

scholarly journals Modern Classification of Forest Vegetation and Assessment of Rare Species of the Zagatala State Nature Reserve

2020 ◽  
Vol 6 (7) ◽  
pp. 42-49
Author(s):  
N. Salmanova
Keyword(s):  
Rare Species ◽  
Forest Ecosystems ◽  
Nature Reserve ◽  
Red List ◽  
Forest Vegetation ◽  
Endangered Plants ◽  
Modern Classification ◽  
State Nature Reserve ◽  
State Nature

Data about flora and vegetation of forest ecosystems of the Zagatala State Reserve located in Azerbaijan have been shown in the paper. The distribution of about 200 plants in the territory was revealed as a result of research. Vegetation is classified into 4 formation classes, 12 formations, 18 associations related to 2 types of vegetation. An analysis of 43 rare species was made, of which 2 species were Atropa caucasica Kreyer., and Rhododendron caucasicum L. are recommended for inclusion in the next edition of the Red List of endangered plants of Azerbaijan.

scholarly journals Psocid taxocenoses structure and diversity (Insecta: Psocoptera) in the forest ecosystems of the Piceeti–fageta s. lat. zone in the Western Carpathian Mts.

2011 ◽  
Vol 59 (5) ◽  
pp. 95-104 ◽  
Author(s):  
Otakar Holuša
Keyword(s):  
Cluster Analysis ◽  
Species Composition ◽  
Correspondence Analysis ◽  
Dominant Species ◽  
Forest Ecosystems ◽  
Forest Type ◽  
Detrended Correspondence Analysis ◽  
Vegetation Zones ◽  
Characteristic Species

Psocid taxocenoses (Psocoptera) were studied in forest ecosystems of the Western Carpathian Mts. during 1997–2001. As a study frame, vegetation tiers (= altitudinal vegetation zones) were used. Lower units of forest typological system (forest type complexes) were used for a classification of ecological conditions as well. Only a part of material, i.e. individuals that was found in the forest ecosystems of Piceeti-fageta s. lat. communities (= the 6th spruce-beech vegetation tier) was evaluated for purpose of this work. This vegetation tier is widespread in higher parts of mountains (the Moravskoslezské Beskydy Mts. and partly in the Oravské Beskydy Mts.). 554 adults comprising 17 species were found in total in the 6th vegetation tier. As eudominant species, the following ones were found: Caecilius despaxi, Caecilius burmeisteri, Mesopsocus unipunctatus, and Stenopsocus lachlani; as dominant species, the following ones were found: Caecilius flavidus and Reuterella helvimacula. In natural geobiocenoses with the level of naturalness of 1 or 2, the following species were found: as eudominant species: Mesopsocus unipunctatus, Stenopsocus lachlani, Caecilius despaxi, Amphigerontia bifasciata and Reuterella helvimacula. Dominant species was Caecilius burmeisteri and Caecilius flavidus. Taxocenoses of psocids were evaluated by Detrended Correspondence analysis (DCA) and Divisive Cluster analysis (DvClA). This material was compared to another material gained from various vegetation tiers in the Western Carpathians Mts. The characteristic species composition of psocids in the 6th vegetation tier was as follows – Cecilius despaxi – Stenopsocus lachlani – Mesopsocus unipunctatus – Reuterella helvimacula.

scholarly journals Evaluación del uso de LiDAR discreto, full-waveform y TLS en la clasificación por composición de especies en bosques mediterráneos

2018 ◽  
pp. 27 ◽  
Author(s):  
J. Torralba ◽  
P. Crespo-Peremarch ◽  
L. A. Ruiz
Keyword(s):  
Species Composition ◽  
Vegetation Cover ◽  
Forest Ecosystems ◽  
Pinus Halepensis ◽  
Laser Scanner ◽  
Understory Vegetation ◽  
Data Sets ◽  
Full Waveform ◽  
Understory Vegetation Cover

<p>LiDAR technology –airborne and terrestrial- is becoming more relevant in the development of forest inventories, which are crucial to better understand and manage forest ecosystems. In this study, we assessed a classification of species composition in a Mediterranean forest following the C4.5 decision tree. Different data sets from airborne laser scanner full-waveform (ALS<sub>FW</sub>), discrete (ALS<sub>D</sub>) and terrestrial laser scanner (TLS) were combined as input data for the classification. Species composition were divided into five classes: pure Quercus ilex plots (QUI); pure Pinus halepensis dense regenerated (HALr); pure P. halepensis (HAL); pure P. pinaster (PIN); and mixed P. pinaster and Q. suber (mPIN). Furthermore, the class HAL was subdivided in low and dense understory vegetation cover. As a result, combination of ALS<sub>FW</sub> and TLS reached 85.2% of overall accuracy classifying classes HAL, PIN and mPIN. Combining ALS<sub>FW</sub> and ALS<sub>D</sub>, the overall accuracy was 77.0% to discriminate among the five classes. Finally, classification of understory vegetation cover using ALS<sub>FW</sub> reached an overall accuracy of 90.9%. In general, combination of ALS<sub>FW</sub> and TLS improved the overall accuracy of classifying among HAL, PIN and mPIN by 7.4% compared to the use of the data sets separately, and by 33.3% with respect to the use of ALS<sub>D</sub> only. ALS<sub>FW</sub> metrics, in particular those specifically designed for detection of understory vegetation, increased the overall accuracy 9.1% with respect to ALS<sub>D</sub> metrics. These analyses show that classification in forest ecosystems with presence of understory vegetation and intermediate canopy strata is improved when ALS<sub>FW</sub> and/or TLS are used instead of ALS<sub>D</sub>.</p>

Effect of the Gabčíkovo Waterworks (Slovakia) on riparian floodplain forest ecosystems in the Danube inland delta: vegetation dynamics and trends

Biologia ◽  
2017 ◽  
Vol 72 (7) ◽  
Author(s):  
Mária Petrášová-Šibíková ◽  
Igor Matečný ◽  
Eva Uherčíková ◽  
Peter Pišút ◽  
Silvia Kubalová ◽  
...  
Keyword(s):  
Species Composition ◽  
Forest Ecosystems ◽  
Supply System ◽  
Floodplain Forest ◽  
Soil Conditions ◽  
Plant Species Composition ◽  
Forest Species ◽  
The Past ◽  
The Impact ◽  
Rare Opportunity

AbstractHuman alteration of watercourses is global phenomenon that has had significant impacts on local ecosystems and the services they provide. Monitoring of abiotic and biotic changes is essential to mitigating long-lasting effects, and the 23-year dataset from the Gabčíkovo Waterworks provided a rare opportunity to assess the impact of groundwater regimes on vegetation. The main aim of this study was to describe the effect of the Gabčíkovo Waterworks on vegetation structure and species composition of the adjacent riparian floodplain forests over the past 23 years. The results are based on studies of three permanent monitoring plots (PMPs) located in the Danube inland delta – two outside (PMP 1 and 3) and one (PMP 2) fully under the influence of the artificial supply system. Our results demonstrate that the Danube inland delta was negatively affected by the Gabčíkovo construction, particularly for sites outside of the artificial supply system. There was a significant decrease in soil moisture and increase in nitrogen at both external PMPs (1 and 3). Alter soil conditions were accompanied by negative changes in plant species composition demonstrated by decreases in the number of typical floodplain forest species that are characteristic for the alliance

scholarly journals Modeling of Forest Ecosystem Degradation Due to Anthropogenic Stress: The Case of Rohingya Influx into the Cox’s Bazar–Teknaf Peninsula of Bangladesh

Environments ◽  
2021 ◽  
Vol 8 (11) ◽  
pp. 121
Author(s):  
Mohammad Emran Hasan ◽  
Li Zhang ◽  
Riffat Mahmood ◽  
Huadong Guo ◽  
Guoqing Li
Keyword(s):  
Forest Ecosystem ◽  
Forest Ecosystems ◽  
Forest Vegetation ◽  
Rapid Decline ◽  
Sudden Increase ◽  
Refugee Crisis ◽  
Anthropogenic Stress ◽  
Ecosystem Integrity ◽  
Humanitarian Response ◽  
The Impact

Overdependence and cumulative anthropogenic stresses have caused world forests to decrease at an unprecedented rate, especially in Southeast Asia. The Cox’s Bazar–Teknaf Peninsula of Bangladesh is not an exception and follows the global deforestation trend. Despite being one of the country’s richest forest ecosystems with multiple wildlife sanctuaries, reserve forests, and influential wildlife habitats, the peninsula is now providing shelter for nearly one million Rohingya refugees. With the global deforestation trend coupled with excessive anthropogenic stresses from the Rohingya population, the forests in the peninsula are continuously deteriorating in terms of quality and integrity. In response to deforestation, the government invested in conservation efforts through afforestation and restoration programs, although the peninsula faced a refugee crisis in August 2017. The impact of this sudden increase in population on the forest ecosystem is large and has raised questions and contradictions between the government’s conservation efforts and the humanitarian response. Relocation of the refugees seems to be a lengthy process and the forest ecosystem integrity needs to be preserved; therefore, the degree of stresses, level of impacts, and pattern of deforestation are crucial information for forest conservation and protection strategies. However, there are a lack of quantitative analyses on how the forest ecosystem is deteriorating and what future results would be in both space and time. In this study, the impact of the sudden humanitarian crisis (i.e., Rohingya refugees) as anthropogenic stress in Cox’s Bazar–Teknaf peninsula has been spatiotemporally modeled and assessed using Sentinel-2 satellite imagery and other collateral data. Using the density and accessibility of the Rohingya population along with the land cover and other physiographic data, a multi-criteria evaluation (MCE) technique was applied through the Markov cellular automata technique to model the forest vegetation status. The impact of deforestation differs in cost due to variability of the forest vegetation covers. The study, therefore, developed and adopted three indices for assessment of the forest ecosystem based on the variability and weight of the forest cover loss. The spatial severity of impact (SSI) index revealed that out of 5415 ha of total degraded forest lands, 650 ha area would have the highest cost from 2017 to 2027. In the case of the ecosystem integrity (EI) index, a rapid decline in ecosystem integrity in the peninsula was observed as the integrity value fell to 1190 ha (2019) from 1340 ha (2017). The integrity is expected to further decline to 740 ha by 2027, if the stress persists in a similar fashion. Finally, the findings of ecosystem integrity depletion (EID) elucidated areas of 540 and 544 hectares that had a severe EID score of (−5) between 2017 and 2019 and 2017 and 2027, respectively. The displacement and refugee crisis is a recurrent world event that, in many cases, compromises the integrity and quality of natural space. Therefore, the findings of this study are expected to have significant global and regional implications to help managers and policymakers of forest ecosystems make decisions that have minimal or no impact to facilitate humanitarian response.

scholarly journals Honey flora of forest plant community

2021 ◽  
Vol 39 ◽  
pp. 01008
Author(s):  
V.P. Naumkin ◽  
N.A. Lopachev ◽  
V.T. Lobkov
Keyword(s):  
Species Composition ◽  
Plant Community ◽  
Forest Cover ◽  
Flowering Plants ◽  
Deciduous Forests ◽  
Forest Community ◽  
Rational Use ◽  
Late Autumn ◽  
Flower Nectar ◽  
Oak Ash

The honey flora of the forest plant community is an important forage resource for the development of beekeeping. That’s why it is desirable to assess species composition and total number of honey plants and to determine the honey reserve of the area of the forest community plant. The forest cover of the Orel region is 9.3%, and this cover is distributed on its territory very irregularly. 257 species out of the total number of honey plants in the region are found in the forests. Deciduous forests are dominant in the Orel region including oak, ash, linden, birch and aspen. The results of studies of flowering plants in the forest plant community showed that there is a sufficient number of honey plants in the forest to provide bee families with nectar from spring to late autumn due to the natural flower-nectar conveyor. The assessment of the honey stock of this community shows that the stock equals 4,872 tons from 203 thousand hectares of forest. And bees can sip only about 30% (1,626 tons). It proves that significant honey reserves are concentrated in the forest plant community of the Orel region. The rational use of these reserves will help to solve the problem of reproduction of new bee families of the aboriginal Central Russian breed and to organize a long honey gathering by bees that provide people of the region with honey.

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