Probabilistic key for identifying vegetation types in the field: A new method and Android application

TICHÝ, Lubomír and Milan CHYTRÝ. Probabilistic key for identifying vegetation types in the field: A new method and Android application. Journal of Vegetation Science. HOBOKEN: WILEY, 2019, vol. 30, No 5, p. 1035-1038. ISSN 1100-9233. Available from: https://dx.doi.org/10.1111/jvs.12799.

Basic information

• Original name: Probabilistic key for identifying vegetation types in the field: A new method and Android application
• Authors: TICHÝ, Lubomír (203 Czech Republic, guarantor, belonging to the institution) and Milan CHYTRÝ (203 Czech Republic, belonging to the institution).
• Edition: Journal of Vegetation Science, HOBOKEN, WILEY, 2019, 1100-9233.

Other information

• Original language: English
• Type of outcome: Article in a journal
• Field of Study: 10611 Plant sciences, botany
• Country of publisher: United States of America
• Confidentiality degree: is not subject to a state or trade secret
• WWW: URL
• Impact factor: Impact factor: 2.698
• RIV identification code: RIV/00216224:14310/19:00108127
• Organization unit: Faculty of Science
• Doi: http://dx.doi.org/10.1111/jvs.12799
• UT WoS: 000486004900001
• Keywords in English: Android; field survey; identification; smartphone; software; species composition; tablet; vegetation classification; vegetation survey; vegetation type
• Tags: rivok
• Tags: International impact, Reviewed

Abstract

Quick identification of vegetation types in the field, based on species composition but not requiring time-consuming plot sampling, is often needed for vegetation mapping, conservation assessment, teaching and other applications of vegetation classification. Here, we propose a new method that identifies the probability of belonging to the units of an established vegetation classification for vegetation stands encountered in the field. The method is based on calculating the probability that a few species observed in the field would co-occur in a priori defined vegetation types, using the existing information on species occurrence frequency in these types. The method has been implemented in a freely available Android application called Probabilistic Vegetation Key, which makes it possible to employ it in the field using smartphones or tablets, even in the absence of internet access.

Links

• GA17-15168S, research and development project: Name: Expertní systémy nové generace pro klasifikaci vegetace v kontinentálním měřítku

Investor: Czech Science Foundation