Academic literature on the topic 'Ecological vegetation classes'

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Journal articles on the topic "Ecological vegetation classes"

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Dubyna, D. V., Т. P. Dziuba, S. M. Iemelianova, and P. A. Tymoshenko. "Syntaxonomy and ecological differentiation of the pioneer vegetation of Ukraine. 2. Helichryso-Crucianelletea maritimae, Festucetea vaginatae, Koelerio-Corynephoretea canescentis classes." Biosystems Diversity 28, no. 3 (August 9, 2020): 298–319. http://dx.doi.org/10.15421/012039.

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Pioneer psammophytic vegetation is usually developed on wind-drift sandy substrates such as arenas, spits, beaches, river terraces, and this vegetation occupies significant areas in all three natural zones of Ukraine. The Koelerio-Corynephoretea canescentis class was represented by 13 associations, 3 alliances and 1 order; Festucetea vaginatae class by 22 associations, 2 alliances and 1 order; Helichryso-Crucianelletea maritimae by 10 associations, 4 alliances and 1 order. The results of cluster analysis and synoptic tables of the classes are presented. 9 alliances are briefly described. Leadi
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Nuijten, Rik J. G., Nicholas C. Coops, Catherine Watson, and Dustin Theberge. "Monitoring the Structure of Regenerating Vegetation Using Drone-Based Digital Aerial Photogrammetry." Remote Sensing 13, no. 10 (May 16, 2021): 1942. http://dx.doi.org/10.3390/rs13101942.

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Measures of vegetation structure are often key within ecological restoration monitoring programs because a change in structure is rapidly identifiable, measurements are straightforward, and structure is often a good surrogate for species composition. This paper investigates the use of drone-based digital aerial photogrammetry (DAP) for the characterization of the structure of regenerating vegetation as well as the ability to inform restoration programs through spatial arrangement assessment. We used cluster analysis on five DAP-derived metrics to classify vegetation structure into seven classe
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Ribeiro, Fernanda F., Dar A. Roberts, Laura L. Hess, Frank W. Davis, Kelly K. Caylor, and Gabriel Antunes Daldegan. "Geographic Object-Based Image Analysis Framework for Mapping Vegetation Physiognomic Types at Fine Scales in Neotropical Savannas." Remote Sensing 12, no. 11 (May 27, 2020): 1721. http://dx.doi.org/10.3390/rs12111721.

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Regional maps of vegetation structure are necessary for delineating species habitats and for supporting conservation and ecological analyses. A systematic approach that can discriminate a wide range of meaningful and detailed vegetation classes is still lacking for neotropical savannas. Detailed vegetation mapping of savannas is challenged by seasonal vegetation dynamics and substantial heterogeneity in vegetation structure and composition, but fine spatial resolution imagery (<10 m) can improve map accuracy in these heterogeneous landscapes. Traditional pixel-based classification methods h
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Dietrich, Michael, and Christoph Scheidegger. "Frequency, Diversity and Ecological Strategies of Epiphytic Lichens in the Swiss Central Plateau and the Pre-Alps." Lichenologist 29, no. 3 (May 1997): 237–58. http://dx.doi.org/10.1006/lich.1996.0074.

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AbstractTo identify representative quantitative criteria for the creation of a future Red List of epiphytic lichens, 849 trees in 132 long-term ecological observation plots in the Swiss Central Plateau and the Pre-Alps were surveyed by standard sampling. Based on the trees, frequency data of the lichen taxa observed are described by the log series model, indicating the controlling effect of few ecological factors. Based on the plots, four classes of scarcity, each comprising 25% of the species, were established. As a contribution to the development of a national, representative survey of liche
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Cianfaglione, Kevin. "Plant Landscape and Models of French Atlantic Estuarine Systems. Extended Summary of the Doctoral Thesis." Transylvanian Review of Systematical and Ecological Research 23, no. 1 (March 1, 2021): 15–36. http://dx.doi.org/10.2478/trser-2021-0002.

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Abstract The present study proposes a theoretical common model of environmental gradients and functioning of vegetation and Plant Landscape of the French Atlantic estuarine systems. This model offers a basis to improve classification and ecological studies of estuarine systems, and to helps the monitoring and assessment of land uses, land forms transformation and human impacts, thanks to the develop of a spatio-temporal predictive model based on actual and potential vegetation following a dynamico-catenal approach. In eight selected estuaries, fieldworks was undertook for a total of 98,315 ha
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Rapinel, Sébastien, and Laurence Hubert-Moy. "One-Class Classification of Natural Vegetation Using Remote Sensing: A Review." Remote Sensing 13, no. 10 (May 12, 2021): 1892. http://dx.doi.org/10.3390/rs13101892.

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Advances in remote sensing (RS) technology in recent years have increased the interest in including RS data into one-class classifiers (OCCs). However, this integration is complex given the interdisciplinary issues involved. In this context, this review highlights the advances and current challenges in integrating RS data into OCCs to map vegetation classes. A systematic review was performed for the period 2013–2020. A total of 136 articles were analyzed based on 11 topics and 30 attributes that address the ecological issues, properties of RS data, and the tools and parameters used to classify
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Budzhak, Vasyl'. "Syntaxonomic scheme of grassy vegetation of the upper Prut and Siret river basins." Biolohichni systemy 11, no. 2 (December 26, 2019): 174–99. http://dx.doi.org/10.31861/biosystems2019.02.174.

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This is the first time that ecological-floristic classification scheme of grassy vegetation of the upper Prut and Siret basins within Ukraine was set up based on the analysis of field research and literature resources. The foundations for syntaxonomic scheme of vegetation was database of geobotanical descriptions «Vegetation of Bukovina», which was created on the Department of botany, forestry, garden and park management in the shell of TURBOVEG. This database contains more than 5000 geobotanical descriptions made in accordance with standardized approach. There was used cluster analysis based
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Kovalenko, I. N. "Potential and realized ecological niches of herb and shrub layer in forest ecosystems of the north-eastern Ukraine." Ecology and Noospherology 26, no. 3-4 (June 12, 2015): 14–20. http://dx.doi.org/10.15421/031516.

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The species composition of herb and shrub layer of the major forest ecosystems of the north-eastern Ukraine has been analyzed at the level of vegetation classes, and individual ecological optimum of the main species of herbs and shrubs has been determined in order to predict the dynamics of their populations in the region. Literature data and results of our own studies for the period of 2000–2010 have shown that in accordance with the ecofloristic classification in the region, 6 classes of forest vegetation can be distinguished, such as: Querceto-Fagetea Br.-Bl. (1937), Vaccinio-Piceetea Br.-B
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Dubyna, D. V., T. P. Dziuba, L. P. Vakarenko, A. A. Ennan, H. M. Shykhaleeva, and H. M. Kiriushkina. "Features of ecological differentiation of halophytic, steppe and petrophytic vegetation in the valley of the Liman Kuyalnik (Odesa Oblast)." Biosystems Diversity 27, no. 3 (October 23, 2019): 205–13. http://dx.doi.org/10.15421/011928.

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Assessment of key environmental factors that influence vegetation distribution and formation of plant communities is one of the most important challenges in modern phytocenology. Nowadays, several bioindication systems are applied to determine ecological specificity of plant communities and to establish the leading factors for their environmental differentiation. The system most widely used in Europe, that of H. Ellenberg, contains a numerical score on 6 ecological factors. On the example of vegetation of the valley of the Liman Kuyalnik, Y. Didukh developed the synphytoindication method based
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Brooks, Bjorn-Gustaf J., Danny C. Lee, Lars Y. Pomara, and William W. Hargrove. "Monitoring Broadscale Vegetational Diversity and Change across North American Landscapes Using Land Surface Phenology." Forests 11, no. 6 (May 27, 2020): 606. http://dx.doi.org/10.3390/f11060606.

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We describe a polar coordinate transformation of vegetation index profiles which permits a broad-scale comparison of location-specific phenological variability influenced by climate, topography, land use, and other factors. We apply statistical data reduction techniques to identify fundamental dimensions of phenological variability and to classify phenological types with intuitive ecological interpretation. Remote sensing-based land surface phenology can reveal ecologically meaningful vegetational diversity and dynamics across broad landscapes. Land surface phenology is inherently complex at r
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Dissertations / Theses on the topic "Ecological vegetation classes"

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Alizadeh, Shabani Afshin, and afshin alizadeh@rmit edu au. "Identifying bird species as biodiversity indicators for terrestrial ecosystem management." RMIT University. Mathematical and Geospatial Sciences, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20061116.161912.

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It is widely known that the world is losing biodiversity and primarily it is thought to be caused by anthropogenic activities. Many of these activities have been identified. However, we still lack a clear understanding of the causal relationships between human activities and the pressures they place on the environment and biodiversity. We need to know how ecosystems and individual species respond to changes in human activities and therefore how best to moderate our actions and reduce the rate of loss of biodiversity. One of the ways to detect these changes is to use indicators of e
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Book chapters on the topic "Ecological vegetation classes"

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Alexander, Earl B., Roger G. Coleman, Todd Keeler-Wolfe, and Susan P. Harrison. "Serpentine Vegetation of Western North America." In Serpentine Geoecology of Western North America. Oxford University Press, 2007. http://dx.doi.org/10.1093/oso/9780195165081.003.0017.

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As discussed in chapter 11, the general patterning of vegetation on serpentine up and down the western North American continent is relatively straightforward. However, many of the distinctive nuances relating to the structure and composition of the vegetation, particularly in comparison to adjacent nonserpentine vegetation have yet to be described. In this chapter we use vegetation as a tool to describe the variation of biotic diversity on serpentine throughout western North America. Vegetation is valuable in this regard because, by describing it, one assembles the information on all plants growing in different patterns in a landscape. This chapter expands on some of the concepts mentioned in chapter 11 and addresses some of the specific questions of interest to ecologists and biologists regarding the influence of serpentine on groups of plant species, using examples from western North America. Western North America provides an excellent template for understanding general questions about serpentine effects on species and vegetation. The broad latitudinal distribution and the local topographic and geologic diversity of serpentine exposures throughout this area produce an array of gradients of temperature, moisture, soil development, disturbance patterns, and day length to produce multiple ecological gradients operating at multiple scales. Also, within western North America a wide number of species from many different genera and families are influenced by serpentine. Vegetation classification is a tool used for several purposes, including efficient communication, data reduction and synthesis, interpretation, and land management and planning. Classifications provide one way of summarizing our knowledge of vegetation patterns. Although there are many different classification concepts, all classifications require the identification of a set of discrete vegetation classes. The fundamental unit of these discrete classes that is identifiable in the field is the stand. A stand is defined by two main unifying characteristics (CNPS 2003): 1. It has compositional integrity. Throughout the site, the combination of plant species is similar. The stand is differentiated from adjacent stands by a shift in plant species composition that may be abrupt or indistinct. That shift relates to a concomitant shift in certain ecological features such as temperature, moisture, or soil fertility that maintain control over the plant species composition.
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Česnulevičius, Algimantas, Artūras Bautrėnas, Linas Bevainis, and Donatas Ovodas. "Classical and Modern Remote Mapping Methods for Vegetation Cover." In Vegetation Index and Dynamics [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.97427.

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Plant classification is quite complex and multilevel. All living organisms are divided into domains, kingdoms, types, classes, ranks, families, tribes, and species. This classification complexity is also reflected in the classification of biogeographic maps, which is much simpler. Based on floristic dependence, vegetation is grouped by connecting it into spatial (territorial) complexes. This paper presents the interfaces of mapping methods with taxonomic vegetation types at different hierarchical levels. At the same time, examples of vegetation mapping techniques from national and thematic atlases of different countries are presented in this article. UAV aerial photographs are widely used for local mapping of vegetation areas. The authors of this article propose a new methodology that can be used to assess the ecological condition of young trees and the volume of mature forest wood. The methodology is based on the separation of tree crown areas in UAV aerial photographs and photo color analysis. For automated area calculation of young trees, a PixRGB software has been developed to determine the area of pixels of the same color in aerial photographs. The software is based on the comparison of young tree crown area calculations in AutoCAD software and area measurements of individual color spectrum pixels. In the initial stage, aerial photographs are transformed to the exact size of the photographed area. Transformations were performed with an error of less than 2–3 cm. The transformation of the spectrum of aerial photographs allowed to concentrate the color of the image of young trees in a relatively narrow color range. Studies performed in 2019–2020 to assess the ecological condition of trees and the amount of wood using UAV INSPIRE 1 and PixRGB color analysis software showed the effectiveness of the applied methodology.
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Randy Gimblett, H., and Merton T. Richards. "Simulating Wildland Recreation Use and Conflicting Spatial Interactions using Rule-Driven Intelligent Agents." In Integrating Geographic Information Systems and Agent-Based Modeling Techniques for Understanding Social and Ecological Processes. Oxford University Press, 2002. http://dx.doi.org/10.1093/oso/9780195143362.003.0016.

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Ecosystem management, in the ideal sense, gives appropriate consideration to the complex and interdependent ecological and social systems that comprise forestlands. One prominent and growing arena where ecological and social systems interact is in the recreational use of wildlands. Recreational uses of forestlands are among an extensive array of commodities and amenities that are increasingly demanded of forest managers. An in-depth understanding of the relationships between recreational and other important uses is essential to effective ecosystem management. Within the human dimension of ecosystem management, recreation and amenity uses of forestlands and the associated benefits of those uses, constitute an important component of management decisions. Forestland recreation is a special form of leisure behavior not only because it takes place outdoors, but because it depends upon a “natural” setting. Particular environmental settings are crucial to the fulfillment of forest recreation goals, because the recreationist seeks meaningful and satisfying experiences rather than simply engagement in activities. Importantly, wildland recreation takes place in settings that result from management actions of one form or another, whether the management objective is recreation opportunity, wildlife habitat improvement, or timber production, among others. The recreation opportunity spectrum (ROS) provides a conceptual framework for relating opportunities for particular behaviors and experiences to specific settings. The ROS argues that recreator's pursuits of certain activities in specific settings reveals their demand for experiences that are satisfying and that may give long-term benefits. The ROS framework describes a spectrum of recreation opportunity classes that relate a range of recreation experiences to an array of possible settings and activities. Setting structure is composed of three components: an ecological component, a social component, and a managerial component. The ecological component comprises the physical-biological conditions of the setting. These are typically delineated by the relative remoteness of the setting, its size, and evidence of human impact (number and condition of trails, structures, or roads, alteration of vegetation, etc.). The social component is typically defined by the number of users at one time (density) in the setting, delineated by the number of encounters or sightings a recreation party has with others.
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Suding, Katharine N. "Top of the World Collaborations: Lessons from above Treeline." In Long-Term Ecological Research. Oxford University Press, 2016. http://dx.doi.org/10.1093/oso/9780199380213.003.0046.

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My involvement at the Niwot Ridge Long-Term Ecological Research (LTER) site began when I was an undergraduate summer research assistant, and it has extended through a postdoctoral fellowship, a tenured professorship, and now a leadership role in the program. I focus on alpine tundra plant diversity, plant–soil interactions, and how environmental changes may influence community dynamics over time and space. Cross-site synthesis work has been one of the most valuable experiences of my career, enabling me to ask more general questions and produce more influential work than I could have done with a focus at a single site. Such comparative research has allowed me to interact with a fabulous group of scientists that has strongly influenced my professional development. These scientists remain strong role models for me. My experiences in the LTER program have formed my model of education and training, emphasizing experimental and observational approaches, quantitative methods, and data management and sharing. I think it is the best way to approach the difficult and complex ecological questions facing our society today. My involvement in the LTER program started in college, when I decided to study for one semester at the University of Colorado. During that semester, I took a class from Marilyn Walker, who was part of the Niwot Ridge (NWT) LTER program. Marilyn’s class did not go to the tundra or even focus on alpine systems. However, when time came to figure out what to do over the summer, I asked her if I could be her research assistant. She gave me the chance to work at Niwot Ridge (Figure 29.1). I spent the summer before my senior year at 3,500-m elevation, recording point quadrat vegetation data in permanent plots. The snow was late to melt that year, so I spent much of June in the Institute of Alpine and Arctic Research’s loading dock, painting thick black stripes on 2.5-m long PVC poles to be used to measure snow depth. When snow melted enough to allow access on the entrance road, I went up to Niwot Ridge for the first time.
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Conference papers on the topic "Ecological vegetation classes"

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Mazurkin, Peter. "ECOLOGICAL CONSOLIDATION OF LANDS IN RUSSIA AND FEDERAL DISTRICTS." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b1/v3/37.

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It is proposed to identify the hierarchy of federal districts in terms of ecological opportunities for consolidation of vegetation cover according to three classes of soil cover according to the UN classification (grass + shrub + trees) on the land territory of Russia by ranking the shares of vegetation cover and human-modified lands, as well as ecological coefficients. The total ecological coefficient is calculated by dividing the share of vegetation by the total share of anthropogenic land. The forest-agricultural coefficient is convenient as the ratio of the forest area to the arable land a
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Mazurkin, Peter. "COMPARISON OF SUBJECTS OF THE URAL FEDERAL DISTRICT BY THE SHARE OF VEGETABLE COVER." In GEOLINKS Conference Proceedings. Saima Consult Ltd, 2021. http://dx.doi.org/10.32008/geolinks2021/b1/v3/36.

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The ecological consolidation of vegetation according to three classes of the UN soil cover (grass + shrub + trees) is considered. The ecological coefficient is calculated by dividing the share of vegetation by the share of changed land. For the rating, the forest-agricultural coefficient is convenient as the ratio of forest area to arable land. The ecological principle of the consolidation of 13 types of land is proposed, which makes it possible to carry out the ecological consolidation of the vegetation cover and altered human land. According to these proposed criteria, the ranking of the sub
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Reports on the topic "Ecological vegetation classes"

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Wells, Aaron, Tracy Christopherson, Gerald Frost, Matthew Macander, Susan Ives, Robert McNown, and Erin Johnson. Ecological land survey and soils inventory for Katmai National Park and Preserve, 2016–2017. National Park Service, September 2021. http://dx.doi.org/10.36967/nrr-2287466.

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This study was conducted to inventory, classify, and map soils and vegetation within the ecosystems of Katmai National Park and Preserve (KATM) using an ecological land survey (ELS) approach. The ecosystem classes identified in the ELS effort were mapped across the park, using an archive of Geo-graphic Information System (GIS) and Remote Sensing (RS) datasets pertaining to land cover, topography, surficial geology, and glacial history. The description and mapping of the landform-vegetation-soil relationships identified in the ELS work provides tools to support the design and implementation of
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