
Vegetation classification is the process of classifying and mapping the vegetation over an area of the Earth's surface. Vegetation classification is often performed by state based agencies as part of land use, resource and environmental management. Many different methods of vegetation classification have been used. In general, there has been a shift from structural classification used by forestry for the mapping of timber resources, to floristic community mapping for biodiversity management. Whereas older forestry-based schemes considered factors such as height, species and density of the woody canopy, floristic community mapping shifts the emphasis onto ecological factors such as climate, soil type and floristic associations. Classification mapping is usually now done using geographic information systems (GIS) software.
Following, some important classification schemes.
Although this scheme is in fact of a climate classification, it has a deep relationship with vegetation studies:
Wagner & von Sydow (1888) scheme: Vegetationsgürtel (vegetation belts):
Warming (1895, 1909) oecological classes:
Warming's types of formations:
Schimper (1898, 1903) climatic chief formation[clarification needed] types:
Schimper formation types across the zones and regions
Formation-types:
The eponymously named Heinrich Walter classification scheme considers the seasonality of temperature and precipitation. The system, also assessing precipitation and temperature, finds nine major global vegetation types or biomes. The boundaries of each biome correlate to the conditions of moisture and cold stress that are strong determinants of plant form, and therefore the vegetation that defines the region. Extreme conditions, such as flooding in a swamp, can create different kinds of communities within the same biome.
| Number | Zonobiome | Zonal soil type | Zonal vegetation type |
|---|---|---|---|
| ZB I | Equatorial, always moist, little temperature seasonality | Equatorial brown clays | Evergreen tropical rainforest |
| ZB II | Tropical, summer rainy season and cooler "winter" dry season | Red clays or red earths | Tropical seasonal forest, seasonal dry forest, scrub, or savanna |
| ZB III | Subtropical, highly seasonal, arid climate | Serosemes, sierozemes | Desert vegetation with considerable exposed surface |
| ZB IV | Mediterranean, winter rainy season and summer drought | Mediterranean brown earths | Sclerophyllous (drought-adapted), frost-sensitive shrublands and woodlands |
| ZB V | Warm temperate, occasional frost, often with summer rainfall maximum | Yellow or red forest soils, slightly podsolic soils | Temperate evergreen forest, somewhat frost-sensitive |
| ZB VI | Nemoral, moderate climate with winter freezing | Forest brown earths and grey forest soils | Frost-resistant, deciduous, temperate forest |
| ZB VII | Continental, arid, with warm or hot summers and cold winters | Chernozems to serozems | Grasslands and temperate deserts |
| ZB VIII | Boreal, cold temperate with cool summers and long winters | Podsols | Evergreen, frost-hardy, needle-leaved forest (taiga) |
| ZB IX | Polar, short, cool summers and long, cold winters | Tundra humus soils with solifluction (permafrost soils) | Low, evergreen vegetation, without trees, growing over permanently frozen soils |
Ellenberg and Mueller-Dombois (1967) scheme:
A vegetation classification with six main criteria ("hierarchical attributes", with exemplified categories applicable mainly to Neotropical region):
Other important schemes: Grisebach (1872), Tansley and Chipp (1926), Rübel (1930), Burtt Davy (1938), Beard (1944, 1955), André Aubréville (1956, 1957), Trochain (1955, 1957), Dansereau (1958), Küchler (1967), Webb and Tracey (1975).
In the sixties, A. W. Kuchler coordinated an extensive review of vegetation maps from all the continents, compiling the terminology used for the types of vegetation.
The Braun-Blanquet method focuses on the composition of plant species within a community. It examines which species grow together, looking at patterns and differences in species groups across different areas. This method uses data collected from specific plots to compare the plant communities and understand how these patterns are influenced by environmental factors.
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