Vegetation classification is a tool for organizing the patterns and diversity of plant communities. It is used in nature conservation, and helps to understand the role of vegetation in the biosphere. Given the rapidly diminishing opportunity to understand the vegetation diversity of Tajikistan located in the Middle Asian region, phytosociological surveys using the floristic-ecological approach and the Braun-Blanquet cover-abundance scale were undertaken in 2006. Aer 18 years of research, with a total of 55 research expeditions to Tajikistan, Kyrgyzstan, and Uzbekistan, it is time to summarise and make a first attempt to establish a comprehensive classification system for the entire vegetation of Tajikistan and the surrounding areas. As a first step, the Vegetation of Middle Asia (VMA) database with records from three countries: Tajikistan (4,130 relevés), Kyrgyzstan (1,681 relevés) and Uzbekistan (13 relevés) was created. e internal comparison of all the plots and the analysis of the similarities with the vegetation of Iran, Russia, Afghanistan, Mongolia, Pakistan, and China make it possible to present the comprehensive list of plant communities organized in 45 classes, 47 orders, 83 alliances, 297 associations, and 237 rankless units. In addition to those described in our previous works, we propose also several new sytaxa: <i>Eremogono griffithii-Nepetetea podostachyos, Artemisio persicae-Stipetea drobovii, Festucetea alaico-krylovianae, Carici koshewnikowii-Asperuletea oppositifoliae, Trichodesmo incani-Pachypterygietea brevipes, Aceretalia turkestanici, Juniperetalia seravschanicae, Crataegetalia ponticae, Populetalia pruinoso-euphraticae, Salici capusii- Hippophaeetalia rhamnoidis, Carici stenophylloidis-Stipetalia drobovii, Eritrichion pamirico-subjacquemontii, Stipetum kazachstanicae, Caricetum pamirensis</i>, and <i>Bolboschoenetum affinis</i>. Tis systematic compilation of data, based on our fieldwork and literature data, is not definitive, and certainly the rich and diverse vegetation of Middle Asia requires further studies incorporating also modern LIDAR and satellite techniques.
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