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A grid-based, satellite-image supported, multi-attributed vegetation mapping method (MÉTA)

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Abstract

In this paper we present the main characteristics of a new, grid-based, landscape-ecology-oriented, satellite-image supported, field vegetation mapping method, called MÉTA (MÉTA stands for Magyarországi Élőhelyek Térképi Adatbázisa: GIS Database of the Hungarian Habitats). The goals of the MÉTA method based vegetation mapping program (MÉTA mapping) include the following: (1) to map the actual (semi-)natural vegetation of Hungary; (2) to evaluate Hungarian (semi-)natural vegetation heritage for conservation purposes; (3) to evaluate the present state of Hungarian landscapes from a vegetation point of view; (4) to collect vegetation and landscape ecological data for the prognosis of future changes of vegetation and the landscape. Spatial resolution, mapped attributes and mapping methods were developed to meet these goals.

The MÉTA method uses a hexagon grid with cells of 35 hectares. In the hexagons, habitat types are listed, then the area, naturalness-based habitat quality, spatial pattern in the hexagon, effect of the neighbourhood, connectedness, and threats are recorded for each habitat type. Other attributes are recorded in the hexagons: potential natural vegetation, area occupied by invasive plant species, area of old fields, land use of grasslands, and landscape health status (naturalness and regeneration potential of the landscape in general). One hundred hexagons form a quadrat — mainly for practical, organizational reasons, but also for collecting certain vegetation data at this spatial scale. For standardization of mapping, three different pre-printed data sheets and two different kinds of guides have been composed (Mapping Guide and Habitat Guide) and field trainings were organized. For standardization of estimation of naturalness-based habitat quality and regeneration potential field examples were prepared for each habitat type and each category of these attributes.

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Authors and Affiliations

  1. Institute of Ecology and Botany of the Hungarian Academy of Sciences, H-2163, Vácrátót, Hungary

    Zsolt Molnár, Sándor Bartha, Eszter Illyés, Zoltán Botta-Dukát, Ferenc Horváth, András Révész, András Kun, János Bölöni & András Horváth

  2. Tünde köz 5, H-2481, Velence, Hungary

    Tibor Seregélyes

  3. State Forest Service, H-2600, Vác, Hungary

    Gábor Tímár

  4. Alkotmány u. 2-4, H-2163, Vácrátót, Hungary

    Marianna Biró

  5. Alszer 28/a, H-9941, Öriszentpéter, Hungary

    László Bodonczi

  6. Department of Climatology and Landscape Ecology, University of Szeged, H-6722, Szeged, Hungary

    Áron Deák József

  7. Fazekas u. 64/a, H-2890, Tata, Hungary

    Péter Fogarasi

  8. Botanical Gardens, Eötvös Loránd University, H-1083, Budapest, Hungary

    István Isépy

  9. Team-Work Consulting and Training, H-2000, Szentendre, Hungary

    László Karas

  10. English Bilingual Grammarschool, Budai Secondary School Táncsics Mihály, H-1126, Budapest, Hungary

    Ferenc Kecskés

  11. István u. 52., H-3036, Gyöngyöstarján, Hungary

    Csaba Molnár

  12. Báránytető u. 2., H-7635, Pécs, Hungary

    Adrienne Ortmann-né Ajkai

  13. E-misszió Environmental Association, H-4400, Nyíregyháza, Hungary

    Szilvia Rév

Authors
  1. Zsolt Molnár
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  2. Sándor Bartha
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  3. Tibor Seregélyes
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  4. Eszter Illyés
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  5. Zoltán Botta-Dukát
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  6. Gábor Tímár
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  7. Ferenc Horváth
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Molnár, Z., Bartha, S., Seregélyes, T. et al. A grid-based, satellite-image supported, multi-attributed vegetation mapping method (MÉTA). Folia Geobot 42, 225–247 (2007). https://doi.org/10.1007/BF02806465

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  • DOI: https://doi.org/10.1007/BF02806465

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