Probabilistic key for identifying vegetation types in the field: A new method and Android application
| Authors | |
|---|---|
| Year of publication | 2019 |
| Type | Article in Periodical |
| Magazine / Source | Journal of Vegetation Science |
| MU Faculty or unit | |
| Citation | |
| Web | https://onlinelibrary.wiley.com/doi/full/10.1111/jvs.12799 |
| Doi | http://dx.doi.org/10.1111/jvs.12799 |
| Keywords | Android; field survey; identification; smartphone; software; species composition; tablet; vegetation classification; vegetation survey; vegetation type |
| Description | 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. |
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