What is an expert system?

 

Computer programs that are capable of learning from experience are generally termed ‘artificial intelligence’. Their logic and strategy used for vegetation classification significantly differs from those programs that work with the data using exactly defined algorithms such as widely used divisive or agglomerative clustering (De Cáceres et al. 2015). There are two basic types of artificial intelligence that have been applied to vegetation data so far: machine learning algorithms (Hastie et al. 2009), which are tools for induction of the independent knowledge base, and expert systems (Noble 1987), which follow all human decisions and emulate the process of expert classification done by humans. The JUICE program contains algorithms of the Expert System of exactly defined structure. Vegetation types can be determined using explicitly defined logical formulas combining species or species groups and in some cases also their minimum relative cover. Last version of the Expert System commands and definitions is available as an appendix of the paper Tichý et al. (2019).

 

 

Manual for the expert system in JUICE program

Download HERE

 

Published Expert Systems

Sorted by: author names, countries, vegetation types

Some papers contain exact expert system definitions. Pavel Novák modified most of them to the text file acceptable by the JUICE program, and they are available here below each article, where they were published. Before their application, each user must solve the nomenclature differences within its vegetation data.

 

Boublík, K. 2010. Formalized classification of the vegetation of Abies alba-dominated forests in the Czech Republic. Biologia 65:822–831. Expert system file

 

Boublík, K., Petřík, P., Sádlo, J., Hédl, R., Willner, W., Černý, T. & Kolbek, J. 2007. Calcicolous beech forests and related vegetation in the Czech Republic: a comparison of formalized classifications. Preslia 79:141–161. Expert system file

 

Chytrý, M. (ed.) 2007–2013. Vegetation of the Czech Republic 1–4. Academia, Praha. Expert system file

 

Dítě, D., Hájek, M. & Hájková, P. 2007. Formal definitions of Slovakian mire plant associations and their application in regional research. Biologia 62:400–408.

 

Douda, J. 2008. Formalized classification of the vegetation of alder carr and floodplain forests in the Czech Republic. Preslia 80:199–224.

 

Douda, J., Boublík, K., Slezák, M., Biurrun, I., Nociar, J., Havrdová, A., (...) & Chytrý, M. 2016. Vegetation classification and biogeography of European floodplain forests and alder carrs. Applied vegetation science 19:147–163. Expert system file

 

Hájková, P. & Hájek, M. 2005. Diversity of Calthion wet meadows in the western part of flysch Carpathians: regional classification based on national formal definitions. Thaiszia 15:85–116. Expert system file

 

Hájková, P., Hájek, M. & Apostolova, I. 2006. Diversity of wetland vegetation in the Bulgarian high mountains, main gradients and context-dependence of the pH role. Plant Ecology 184:111-130. Expert system file

 

Havlová, M. 2006. Syntaxonomical revision of the Molinion meadows in the Czech Republic. Preslia 78:87–101. Expert system file

 

Horsák, M., Juřičková, L., Horsáková, V., Pokorná, A., Pokorný, P., Šizling, A.L. & Chytrý, M. 2018. Forest snail diversity and its environmental predictors along a sharp climatic gradient in southern Siberia. Acta Oecologica 88:1–8. Expert system file

 

Hrivnák, R., Hájek, M., Blanár, D., Kochjarová, J. & Hájková, P. 2008. Mire vegetation of the Muránska Planina Mts – formalised classification, ecology, main environmental gradient and influence of geographical position. Biologia63:368–377. Expert system file

 

Janišová, M. & Dúbravková, D. 2010. Formalized classification of rocky Pannonian grasslands and dealpine Sesleria-dominated grasslands in Slovakia using a hierarchical expert system. Phytocoenologia 40:267–291.

 

Kočí, M., Chytrý, M. & Tichý, L. 2003. Formalized reproduction of an expert‐based phytosociological classification: a case study of subalpine tall‐forb vegetation. Journal of Vegetation Science 14:601–610. Expert system file

 

Kuzemko, A.A. 2012. Using sociological groups and Cocktail method for the classification of meadow vegetation in the forest and forest-steppe zones of the flatland part of Ukraine. Ukr. Bot. Zh 69:190–202.

 

Landucci, F., Gigante, D. & Venanzoni, R. 2011. An application of the Cocktail method for the classification of the hydrophytic vegetation at Lake Trasimeno (Central Italy). Fitosociologia 48:3–22.

 

Landucci, F., Gigante, D., Venanzoni, R. & Chytrý, M. 2013. Wetland vegetation of the class Phragmito-Magno-Caricetea in Central Italy. Phytocoenologia 43:67–102.

 

Landucci, F., Tichý, L., Šumberová, K. & Chytrý, M. 2015. Formalized classification of species‐poor vegetation: a proposal of a consistent protocol for aquatic vegetation. Journal of Vegetation Science 26:791–803. Expert system file

 

Li, C.-F., Chytrý, M., Zelený, D., Chen, M.-Y., Chen, T.-Y., Chiou, C.-R., Hsia, Y.-J., Liu,H.-Y., Yang, S.-Z., (...) & Hsieh, C.-F. 2013. Classification of Taiwan forest vegetation. Applied Vegetation Science 16:698–719.

 

Lososová, Z. 2004. Weed vegetation in southern Moravia (Czech Republic): a formalized phytosociological classification. Preslia 76:65–85.

 

Marceno, C., Guarino, R., Loidi, J., Herrera, M., Isermann, M., Knolová, I., Tichý, L., Tzonev, R., Acosta, A.T.R., (...) & Chytrý, M. 2018. Classification of European and Mediterranean coastal dune vegetation. Applied Vegetation Science 21:533–559.

 

Mucina, L., Bültmann, H., Dierßen, K., Theurillat, J.‐P., Raus, T., Čarni, A., Šumberová, K., Willner, W., Dengler, J., (…) & Tichý, L. 2016. Vegetation of Europe: hierarchical floristic classification system of vascular plant, bryophyte, lichen and algal communitiesApplied Vegetation Science 19 (Suppl. 1):3–264.

 

Peterka, T., Hájek, M., Jiroušek, M., Jiménez‐Alfaro, B., Aunina, L., Bergamini, A., (...) & Chytrý, M. 2017.Formalized classification of European fen vegetation at the alliance level. Applied Vegetation Science 20:124–142. Expert system file

 

Rodríguez‐Rojo, M. P., Fernández‐González, F., Tichý, L. & Chytrý, M. 2014. Vegetation diversity of mesic grasslands (Arrhenatheretalia) in the Iberian Peninsula. Applied Vegetation Science 17:780–796.

 

Roleček, J. 2007. Formalized classification of thermophilous oak forests in the Czech Republic: what brings the Cocktail method? Preslia 79:1–21.

 

Simonová, D. 2008. Vegetation of trampled habitats in the Czech Republic: a formalized phytosociological classification. Phytocoenologia 38:177–191.

 

Svitková, I. & Šibík, J. 2013. An expert-based classification of high-altitude arctic-alpine vegetation of the class Carici rupestris-Kobresietea Ohba 1974: Achievements and obstacles. Plant Biosystems 147:315–327.


Swacha, G., Kącki, Z. & Załuski, T. 2016. Classification of Molinia meadows in Poland using a hierarchical expert system. Phytocoenologia 46:33–47.


Šilc, U. & Čarni, A. 2007. Formalized classification of the weed vegetation of arable land in Slovenia. Preslia79:283–302. Expert system file


Šumberová, K. & Hrivnák, R. 2013. Formalised classification of the annual herb vegetation of wetlands (Isoëto Nano-Juncetea class) in the Czech Republic and Slovakia (Central Europe). Phytocoenologia 43:13–40.


Velev, N. & Apostolova, I. 2009. A Review of Potentillo ternatae-Nardion strictae Alliance. Hacquetia 8:49–66. Expert system file

 

Velev, N., Apostolova, I., Rozbrojová, Z. & Hájková, P. 2010. The alliances ArrhenatherionCynosurion and Trifolion medii in western Bulgaria – environmental gradients and ecological limitations. Hacquetia 9:207–220. Expet system file

 

 


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