Nicola Arndt und Matthias Pohl - Neobiota
Nicola Arndt und Matthias Pohl - Neobiota Nicola Arndt und Matthias Pohl - Neobiota
118 18 00 17 00 16 00 15 00 14 00 13 00 12 00 1100 1000 900 800 700 600 500 400 300 200 100 0 1 4 11 2 12 4a 3 13 11 4 14 12 5 15 23 Figure 2: Altitudinal zonality types of the natural vegetation of the Ural Mountains (Source: Ogureeva et al. 1999). Regions in the order from north to south (nos. according to units in Figure 1): 4. Polar Ural: nival – high arctic tundra – arctic tundra – subarctic tundra – open larch woodland; 4a. Pay Khoy Mts.: arctic tundra – subarctic tundra; 11. Western North Ural: nival – goltsy/subnival – alpine tundra – stlanik /open birch woodland – open dark coniferous (spruce), birch woodland – dark coniferous forest; 12. Eastern North Ural: nival – subnival – alpine tundra – stlanik /open larch, birch woodland – dark coniferous and larch forests – larch forest; 23.Western Central Ural: goltsy – alpine tundra – dwarf birch thicket /open birch woodland – taiga (dark coniferous forests: pine, spruce, firspruce); 23a. Southwestern Central Ural: open dark coniferous woodland – dark coniferous forest – mixed broadleaved-dark coniferous forest; 24. Eastern Central Ural: goltsy – alpine tundra – open larch woodland – dark coniferous (spruce, pine) and larch forests, pine forests; 24a. Southeastern Central Ural: open larch woodland – pine forests ; 61.Western South Ural: goltsy – subalpine (tall herb meadows) – open dark coniferous woodlands – taiga – mixed broadleaved forest – dark coniferous forest – broadleaved forest – forest steppes; 62.Eastern South Ural: goltsy- alpine tundra – taiga – pine forest – forest steppes (meadows, forb-grass steppes). Vegetation belts: 1– nival, 2– upper high arctic tundras, 3– lower high arctic tundras , 4– arctic tundras, 5– subarctic tundras, 6– goltsy/subnival, 7– upper alpine tundras , 8– lower alpine tundras , 9– stlanik/open birch woodlands, 10– open larch woodlands, 11– open dark coniferous woodlands, 12– dark coniferous forests (taiga), 13– dark coniferous and larch forests, 14– larch forests, 15– pine forests, 16– southern pine forests, 17– mixed broadleaved - dark coniferous forests, 18– broadleaved forests, 19– forest steppes. 6 16 23a 7 17 24 8 18 24a 9 19 61 10 62
The name of each type includes the names of altitudinal belts with indication of main communities and their species composition. Each type also has its individual geographic name. For example: The South-West Ural type (No. 61) consists of several belts: alpine tundra, subalpine (tall herb meadows, open woodlands with Quercus robur), dark coniferous forests (taiga with Picea obovata, Abies sibirica), broad-leaved forests (mixed forests with Quercus robur, Tilia cordata, Acer platanoides, Ulmus laevis), and forest steppes (birch, oak forests in combination with bunch-grass steppes) (see Figure 2). 3. Altitudinal zonality types differ in the biodiversity of their altitudinal belts. There is also a specific set of floro-coenotic complexes within each altitudinal belt. 4. Altitudinal zonality types could be represented by their geographic variants and subtypes. Geographic variants are characterized by specific floristic composition, coenotic diversity of formations, and prevalence of certain phytogeographic elements in the plant communities of the particular belts. This is best observed on mountain slopes with different aspects: the altitudinal belts differ in combination of plant communities and floristic diversity. Subtypes are characterized by a truncated altitudinal belt series depending on the absolute elevation of the area in question. Mountain massifs are complicated landforms including mountain ridges, plateaus and highlands, depressions and intermountain basins. In such cases not all potential belts are represented in the vegetation cover and there is only a part (top or bottom) of an altitudinal zonality type present. 4 Classification of altitudinal zonality types The geographic-genetic principle is used as the basis of classification of altitudinal zonality types. The types are assigned to groups, subclasses and classes, reflecting the structural-genetic characteristics of mountain vegetation at regional level and its connection with zones and phytogeographical areas. A group integrates altitudinal zonality types with a similar set of altitudinal belts within the limits of a geographically unified area. Each belt, however, can differ in the set of plant communities which are nevertheless uniform in their genesis. A class integrates groups of types with a unified complex of genetically connected plant formations in the main altitudinal belt, which have similar structuraldynamic properties. Subclasses represent regional specific features of plant communities. The analysis of vegetation macrostructures of the mountains of Russia and adjacent territories permits the recognition of 77 altitudinal zonality types with 37 variants and 66 subtypes, i.e., a total of 180 subdivisions of mountain vegetation. They belong to 5 classes, 10 subclasses and 25 groups of types. The altitudinal zonality types with their geographic variants and subtypes reflect the present ecological-geographical potential of mountain territories (Table 2). 5 Conclusion The map “Zones and altitudinal zonality types of vegetation of Russia and adjacent territories” reflects the most important spatial characteristics in vegetation distribution, and represents vegetation macrostructures at a new level of resolution. The work has resulted in the creation of a database for the main structural vegetation types of Russia. The following parameters for each geographical variant of zonal vegetation and altitudinal zonality type have been included in the database: a) characteristics of the bioclimatic situation of local sites within an altitudinal belt and a geographical variant; b) phytocoenotic characteristics of the plant associations within the limits of an altitudinal 119
- Seite 69 und 70: Figure 2: Map of Global Ecological
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- Seite 119: Table 1: FAO Global Ecological Zoni
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The name of each type includes the names of altitudinal belts with indication of main communities and<br />
their species composition. Each type also has its individual geographic name.<br />
For example: The South-West Ural type (No. 61) consists of several belts: alpine t<strong>und</strong>ra, subalpine<br />
(tall herb meadows, open woodlands with Quercus robur), dark coniferous forests (taiga with Picea<br />
obovata, Abies sibirica), broad-leaved forests (mixed forests with Quercus robur, Tilia cordata, Acer<br />
platanoides, Ulmus laevis), and forest steppes (birch, oak forests in combination with bunch-grass<br />
steppes) (see Figure 2).<br />
3. Altitudinal zonality types differ in the biodiversity of their altitudinal belts. There is also a specific<br />
set of floro-coenotic complexes within each altitudinal belt.<br />
4. Altitudinal zonality types could be represented by their geographic variants and subtypes.<br />
Geographic variants are characterized by specific floristic composition, coenotic diversity of<br />
formations, and prevalence of certain phytogeographic elements in the plant communities of the<br />
particular belts. This is best observed on mountain slopes with different aspects: the altitudinal belts<br />
differ in combination of plant communities and floristic diversity. Subtypes are characterized by a<br />
truncated altitudinal belt series depending on the absolute elevation of the area in question. Mountain<br />
massifs are complicated landforms including mountain ridges, plateaus and highlands, depressions and<br />
intermountain basins. In such cases not all potential belts are represented in the vegetation cover and<br />
there is only a part (top or bottom) of an altitudinal zonality type present.<br />
4 Classification of altitudinal zonality types<br />
The geographic-genetic principle is used as the basis of classification of altitudinal zonality types. The<br />
types are assigned to groups, subclasses and classes, reflecting the structural-genetic characteristics of<br />
mountain vegetation at regional level and its connection with zones and phytogeographical areas. A<br />
group integrates altitudinal zonality types with a similar set of altitudinal belts within the limits of a<br />
geographically unified area. Each belt, however, can differ in the set of plant communities which are<br />
nevertheless uniform in their genesis. A class integrates groups of types with a unified complex of<br />
genetically connected plant formations in the main altitudinal belt, which have similar structuraldynamic<br />
properties. Subclasses represent regional specific features of plant communities.<br />
The analysis of vegetation macrostructures of the mountains of Russia and adjacent territories permits<br />
the recognition of 77 altitudinal zonality types with 37 variants and 66 subtypes, i.e., a total of 180<br />
subdivisions of mountain vegetation. They belong to 5 classes, 10 subclasses and 25 groups of types.<br />
The altitudinal zonality types with their geographic variants and subtypes reflect the present<br />
ecological-geographical potential of mountain territories (Table 2).<br />
5 Conclusion<br />
The map “Zones and altitudinal zonality types of vegetation of Russia and adjacent territories” reflects<br />
the most important spatial characteristics in vegetation distribution, and represents vegetation<br />
macrostructures at a new level of resolution. The work has resulted in the creation of a database for the<br />
main structural vegetation types of Russia. The following parameters for each geographical variant of<br />
zonal vegetation and altitudinal zonality type have been included in the database: a) characteristics of<br />
the bioclimatic situation of local sites within an altitudinal belt and a geographical variant; b)<br />
phytocoenotic characteristics of the plant associations within the limits of an altitudinal<br />
119