A generalized large-scale vegetation map of the alpine and subalpine belts of the Rila Mts. (Bulgaria)

1990 ◽  
pp. 56-72
Author(s):  
V. Kh. Rusakova-Anastasova
Keyword(s):  
Large Scale ◽  
Vegetation Map

Classification of vegetation in Cucphuong National Park with the aim of large-scale mapping, Vietnam

1996 ◽  
pp. 64-67 ◽  
Author(s):  
Nguen Nghia Thin ◽  
Nguen Ba Thu ◽  
Tran Van Thuy
Keyword(s):  
National Park ◽  
Large Scale ◽  
Satellite Images ◽  
Field Work ◽  
Aerial Photographs ◽  
Vegetation Map ◽  
Dense Forest ◽  
Broad Leaved Forest ◽  
Leaved Forest

The tropical seasonal rainy evergreen broad-leaved forest vegetation of the Cucphoung National Park has been classified and the distribution of plant communities has been shown on the map using the relations of vegetation to geology, geomorphology and pedology. The method of vegetation mapping includes: 1) the identifying of vegetation types in the remote-sensed materials (aerial photographs and satellite images); 2) field work to compile the interpretation keys and to characterize all the communities of a study area; 3) compilation of the final vegetation map using the combined information. In the classification presented a number of different level vegetation units have been identified: formation classes (3), formation sub-classes (3), formation groups (3), formations (4), subformations (10) and communities (19). Communities have been taken as mapping units. So in the vegetation map of the National Park 19 vegetation categories has been shown altogether, among them 13 are natural primary communities, and 6 are the secondary, anthropogenic ones. The secondary succession goes through 3 main stages: grassland herbaceous xerophytic vegetation, xerophytic scrub, dense forest.

scholarly journals A new world natural vegetation map for global change studies

2008 ◽  
Vol 80 (2) ◽  
pp. 397-408 ◽  
Author(s):  
David M. Lapola ◽  
Marcos D. Oyama ◽  
Carlos A. Nobre ◽  
Gilvan Sampaio
Keyword(s):  
Large Scale ◽  
New World ◽  
Climate Models ◽  
Global Climate ◽  
Horizontal Resolution ◽  
Vegetation Classification ◽  
Natural Vegetation ◽  
Global Climate Models ◽  
Vegetation Map ◽  
Vegetation Maps

We developed a new world natural vegetation map at 1 degree horizontal resolution for use in global climate models. We used the Dorman and Sellers vegetation classification with inclusion of a new biome: tropical seasonal forest, which refers to both deciduous and semi-deciduous tropical forests. SSiB biogeophysical parameters values for this new biome type are presented. Under this new vegetation classification we obtained a consensus map between two global natural vegetation maps widely used in climate studies. We found that these two maps assign different biomes in ca. 1/3 of the continental grid points. To obtain a new global natural vegetation map, non-consensus areas were filled according to regional consensus based on more than 100 regional maps available on the internet. To minimize the risk of using poor quality information, the regional maps were obtained from reliable internet sources, and the filling procedure was based on the consensus among several regional maps obtained from independent sources. The new map was designed to reproduce accurately both the large-scale distribution of the main vegetation types (as it builds on two reliable global natural vegetation maps) and the regional details (as it is based on the consensus of regional maps).

scholarly journals High-Resolution Vegetation Mapping Using eXtreme Gradient Boosting Based on Extensive Features

2019 ◽  
Vol 11 (12) ◽  
pp. 1505 ◽  
Author(s):  
Heng Zhang ◽  
Anwar Eziz ◽  
Jian Xiao ◽  
Shengli Tao ◽  
Shaopeng Wang ◽  
...  
Keyword(s):  
New Zealand ◽  
High Resolution ◽  
Large Scale ◽  
Field Survey ◽  
Terrestrial Ecosystems ◽  
Google Earth ◽  
Gradient Boosting ◽  
Global Changes ◽  
Vegetation Map ◽  
Extreme Gradient Boosting

Accurate mapping of vegetation is a premise for conserving, managing, and sustainably using vegetation resources, especially in conditions of intensive human activities and accelerating global changes. However, it is still challenging to produce high-resolution multiclass vegetation map in high accuracy, due to the incapacity of traditional mapping techniques in distinguishing mosaic vegetation classes with subtle differences and the paucity of fieldwork data. This study created a workflow by adopting a promising classifier, extreme gradient boosting (XGBoost), to produce accurate vegetation maps of two strikingly different cases (the Dzungarian Basin in China and New Zealand) based on extensive features and abundant vegetation data. For the Dzungarian Basin, a vegetation map with seven vegetation types, 17 subtypes, and 43 associations was produced with an overall accuracy of 0.907, 0.801, and 0.748, respectively. For New Zealand, a map of 10 habitats and a map of 41 vegetation classes were produced with 0.946, and 0.703 overall accuracy, respectively. The workflow incorporating simplified field survey procedures outperformed conventional field survey and remote sensing based methods in terms of accuracy and efficiency. In addition, it opens a possibility of building large-scale, high-resolution, and timely vegetation monitoring platforms for most terrestrial ecosystems worldwide with the aid of Google Earth Engine and citizen science programs.

Large-scale vegetation mapping for the purposes of creating new specially protected natural areas in Saint-Petersburg

2018 ◽  
pp. 120-136 ◽  
Author(s):  
E. A. Volkova ◽  
V. N. Khramtsov
Keyword(s):  
Plant Communities ◽  
Large Scale ◽  
Nature Reserve ◽  
Southern Taiga ◽  
Vegetation Map ◽  
Saint Petersburg ◽  
Specially Protected Natural Areas ◽  
Southern Taiga Subzone ◽  
Protected Natural Areas ◽  
The City

Rather large forests, typical of the southern taiga subzone are preserved within the boundaries of St. Petersburg. They include a wide variety of plant communities with some rare species. This article is devoted to the area located in the southern part of the city and designed as a nature reserve. A large-scale map of actual vegetation of the projected reserve was composed; it shows the diversity of plant communities and their distribution. The map legend consists of 75 main units; and the usage of supplementary symbols helps to map 122 units. Areal analysis of all types of plant communities is carried out on the basis of the vegetation map. Typical and the most valuable vegetation objects were identified.

The estimation of vegetation changes on the basis of large-scale mapping

2007 ◽  
pp. 48-56
Author(s):  
N. M. Novikova ◽  
N. B. Khitrov ◽  
A. A. Vyshivkin ◽  
N. A. Volkova ◽  
Yu. V. Grigorieva
Keyword(s):  
Large Scale ◽  
Steppe Zone ◽  
Vegetation Changes ◽  
Vegetation Map ◽  
Caspian Lowland

The large-scale vegetation map of preserved area in Dzhanibek Station (the northwestern Caspian Lowland, the southern subzone of steppe zone) has been compared with that compiled for the same territory 50 years ago. The methods of recurring mapping and the special approaches to legend construction are considered. The maps of vegetation changes and present dynamic status of vegetation are analysed.

Problems of cartographic study of vegetation structure in Siberia

1997 ◽  
pp. 13-21
Author(s):  
A. V. Вelоv
Keyword(s):  
Vegetation Structure ◽  
Large Scale ◽  
Dynamic Processes ◽  
Vegetation Map ◽  
Anthropogenic Transformation ◽  
Ecological Problems ◽  
Dynamic Series ◽  
Vegetation Study ◽  
Stable Development ◽  
Transformation Series

The works by V. B. Sochava have laid the foundation of the system geographical-historical approach to vegetation study, determined the features of vegetation cartography in Siberia. The profound intensification of cartographic works in Siberia began in seventies. At that period, ahead of the others, V. B. Sochava raised the problem of ecologyzation of geographic investigations and among them vegetation cartography. Thus he stimulated the development of ecological-geobotanical (phytoecological) mapping. In the eighties the estimation-prognosis mapping started to develope that enhanced the demands to the universal geobotanical map. At the present time in Siberia the cartographical-geobotanical investigations are conducting in the frame of numerous regional and local ecological problems and first of all those related to the concept of stable development of the Baikal region adopted at the UNO conference in 1992. The vegetation map published in Baikal Atlas is an example of such new survey-inquiry mapping, the same are the vegetation map and the estimation map of vegetation disturbances of the Irkutsk District. In the above map, in contrast to previous ones, more attention have been paid to the destructive dynamic processes, therefore the typification of the secondary communities has been carried out not through the restoration series but through the stages of anthropogenic transformation series. Natural and derivative units (numbers) are united into unified dynamic series (epitaxons). Two dynamic processes – destruction and demutation – can be traced on the vegetation map of Irkutsk District. At the base of the universal geobotanical map the block of phytoecological maps has been created. At present days the interest to the middle-scale and the large-scale mapping in Siberia is increasing sharply. Perspectives of its development are connected with forming the regional and local GIS and with developing the operative computer-mapping.

scholarly journals Study of the diversity and mapping of xerophytic vegetation of the southeastern coast of Crimea peninsula using remote sensing data

2021 ◽  
Author(s):  
N.B. Ermakov ◽  
I.A. Pestunov ◽  
V.V. Korzhenevskiy ◽  
E.V. Ermakova ◽  
S.A. Rylov ◽  
...  
Keyword(s):  
Large Scale ◽  
Ecological Factors ◽  
Remote Sensing Data ◽  
Mountain Range ◽  
Vegetation Map ◽  
Resource Potential ◽  
Parent Rocks ◽  
Eastern Crimea ◽  
Ecological Patterns ◽  
Crimea Peninsula

The study of diversity and ecological-phytocenotic mapping of the vegetation cover was carried out at the key area located in the eastern part of the Echki-Dag mountain range in the territory of the Lisya Bay Reserve (Eastern Crimea). A generalization of the classification and ecological patterns of vegetation was carried out to create a legend for a large-scale ecological-phytocenotic cartographic model (at the scale of 1:10000). The ecological-geomorphological series and combinations of xerophytic and mesoxerophytic plant communities indicating erosion-denudation processes on different substrates of the underlying parent rocks were the thematic basis of the cartographic model. The developed legend is based on the units of vegetation of the association rank obtained using the Braun – Blanquet method combined into ecological series in accordance with their position on the gradients of the leading ecological factors as well as on the hierarchy of phytochories determined by the categories of erosion-denudation relief of coastal slopes. The resulting vegetation map demonstrates the main regularities of the regional phyto-diversity and serves as the basis for assessing the resource potential of vegetation, its landscape-stabilizing and nature conservation value.

Vegetation map of the National Park “Belovezhskaya Pushcha”: creation and practical use experience

2019 ◽  
pp. 18-38 ◽  
Author(s):  
D. G. Grummo ◽  
R. V. Tsvirko ◽  
N. A. Zeliankevich ◽  
E. Y. Kulikova ◽  
O. V. Sozinov
Keyword(s):  
Plant Communities ◽  
National Park ◽  
Large Scale ◽  
Remote Sensing Data ◽  
Field Studies ◽  
Vegetation Map ◽  
Floristic Classification ◽  
Disturbed Forest ◽  
Classification Of Images

In 2013–2018 studies of phytocoenotic diversity were carried out in the territory of the National Park “Belovezhskaya Pushcha” (Belarus). As a result, a classification scheme of vegetation was developed based on the floristic approach (Braun-Blanquet method) and a large-scale (1 : 100 000) geobotanical map was made. The map is compiled on the basis of the field data, analysis of remote sensing data, literary and cartographic sources, land and forest inventory materials. The compilation of this geobotanical map was consisted of 4 stages. 1) The pre-field (cameral) stage included: collection of archive data about the investigated territory, selection of space imagery, primary processing of digital images and data visualization, interpretation, automatic non-controlled classification, preliminary map compilation. 2) Field studies provided for surface interpretation of vegetation based on satellite imagery.In total, 1851 complete geobotanical relevés were made during field studies, including 743 forest, 452 mire, 576 meadow, segetal and ruderal plant communities. 3) The post-field (cameral) stage, including the preparation of the cartographic base; the systematization of field materials; the development of the final legend; the systematization of image standards for creating cartographic models; the controlled classification of images with preliminary segmentation by the method of superpixels (SNIC-Simple Non-Iterative Clustering); assessment reliability of classification results; geometric and geographical generalization; making an original map. 4) Field check (verification) of geobotanical map. During the 2018 field season a vegetation map of the protected area was checked with the compilation of the final reliability protocol. The main unit of the map legend, a syntaxon of the floristic classification of vegetation, is the association, however, along with the association, to display the typology of the vegetation cover, syntaxons of as a higher hierarchical rank (union) and lower (options, facies), as well as rankless communities are used. In establishing the names of associations and subassociations and in comparative analysis various regional works were taken into account (Matuszkiewicz, Matuszkiewicz, 1954; Czerwiński, 1978; Faliński, 1991, 1994а, b; Kwiatkowski, 1994; Bulokhov, Solomeshch, 2003; Semenischenkov, 2014; Lądowe ekosystemy…, 2016; Dubyna et al., 2019;). In the legend, the mapped units reflecting the restoration stages of the association are marked with letter indices. Heterogeneous areas consisting of regularly and repeatedly alternating plant communities are presented on the map as complexes (phytocoenoses-complex). In total, the map legend contains 75 mapped vegetation units, including forest — 40, shrub — 4, mire — 13, meadow and wasteland — 11, ruderal and segetal vegetation — 6, deforestation and disturbed forest habitats — 1. Separate units reflect other lands (water, residential development, etc.) The practical application of the geobotanical map for identifying key (important for biodiversity conservation) habitats and developing a science-based approach to the functional zoning of protected areas is shown.

Typology of territorial units of vegetation for the purposes of large-scale mapping (the Kolguev Island as an example)

2015 ◽  
pp. 94-119 ◽  
Author(s):  
I. A. Lavrinenko
Keyword(s):  
Plant Communities ◽  
Vegetation Cover ◽  
Large Scale ◽  
Class Group ◽  
Hierarchical System ◽  
Vegetation Map ◽  
Kolguev Island ◽  
Basic Rank

A typological scheme of territorial units of vegetation (TUV) developed on the basis of the large-scale map of theKolguev Island is presented. Four basic rank typological units (division, class, group and type) define TUV positions in the hierarchical system of vegetation cover. The concepts of diagnostic syntaxon and combination of diagnostic syntaxa that occur exclusively or primarily within these typological units are introduced. Prodromus of the Kolguev Island vegetation consists of 42 syntaxa (association / subassociation / type of community). 38 types of TUV from 22 groups (8 homogeneous and 14 heterogeneous – serial and ecological ranks, complexes and combinations), assigned to 15 classes and 3 divisions are allocated on the vegetation map in 1 : 50 000 scale. The categories of different rank can be used as dynamic elements of the map legend. This approach gives us a possibility to combine the syntaxonomic diversity of plant communities and typology of TUV.

Spatial structure of vegetation of the forb-feathergrass steppe subzone in the Southern West-Siberian Plain (Northern Kulunda)

1996 ◽  
pp. 16-33 ◽  
Author(s):  
B. B. Namzalov
Keyword(s):  
Spatial Structure ◽  
Vegetation Cover ◽  
Large Scale ◽  
Standard Sample ◽  
Arable Land ◽  
Vegetation Mapping ◽  
West Siberian Plain ◽  
Vegetation Map ◽  
Territorial Unit ◽  
Heterogeneous Vegetation

The standard sample area of 50 km2 for large-scale vegetation mapping has been taken on the water-shad of Bagan and Karasu rivers. Relief of the region is formed byelongate hills («griva») and depressions between them. The hills are occupied by arable land whereas the depressions are covered by natural vegetation. The main reguliarities of vegetation cover are presented on the vegetation map at 1 : 100 000 scale (fig. 1). 25 of the 31 numbers of the legend represent heterogeneous vegetation; these are territorial units, combinations sensu S. A. Gribova and T. I. Isachenko (1972) or phytocoenochoras after V. B. Sochava (1979). All the heterogeneous territorial units are subdivided into two categories – microcombinations and mezo-combinations. While the formers include complexes and microzonal series, the latters include ecological series and combinations. The inner diversity of territorial units is reflected in more details on the key plot of 100 x 100 m showing the vegetation of a small interhill depression with salt-rich soils. Through the comparison of different scale schematic pictures – 1 : 1000 (fig. 2a), 1 : 10 000 (fig. 2б), 1 : 50 000 (fig. 2в) – the process of generalization of territorial unit structures is illustrated, starting from the complexes, proceeding to microzonal series and, finally, to mezocombinations. The main territorial unit for large-scale and middle-scale maps is mezocombinations.

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