Макарова, О. А. Фенологический атлас растений / Н. В. Поликарпова, О. А. Макарова ; М-во природ. ресурсов и экологии Рос. Федерации, Федер. гос. бюджет. учреждение «Гос. природ. заповедник «Пасвик» ; [худож.: Хохлов В. А. ; пер.: Кислова О. С.]. - Рязань : Голос губернии, 2016.

Conclusions 233 be quite logical to add the “Regional nature’s calendar" section to this yearbook, and preparation of the calendars could be the task for strict nature reserves or regional divisions of the Russian Phenology Centre. It's worth integrating data on nature's seasonal development also in other documents to be prepared - phenological and environmental passports of Russian regions. An interesting and useful practice is maintenance of nature’s calendars of settlements - cities, towns, villages. Naturally, this implies setting up of phenological routes (transects) in the communities. In addition to transect surveys one can establish phenological perma nent sample plots (PPSP). This technique implies a more complex system of observations since the number of PPSP per transect can vary depending on terrain and plant associations. The recommended area to be observed in this case is at least 100 m2. Where diverse types of natural-spatial complexes are present, it is desirable to monitor the main types that are the most typical of the study area. Obviously, the botanical description of complexes such as river and brook valleys, floodplains, terrace meadows should be very scrupulous because of the high species diversity there. The list of species to be monitored would also be much longer than, for instance, in the programme “Seasonal Life of Nature in the Kola North” (Makarova et a l, 2001). With this setup, phenological monitoring can constitute a part of local ecological monitoring. For instance, the data gathered from the Pasvik Strict Nature Reserve phenological transect have been included in many in ternational scientific projects to be used for the analysis of climate change impact on the plant cover in northern Fennoscandia, improving the methods of satellite imagery interpretation, elaboration of the methods of mapping seasonal plant cover changes, and so forth (Karlsen et at., 2008, 2012a, b). As long-term data are amassed over time, one can begin to investigate the dynamics of an object’s seasonal development. One of the approaches to processing the results of field observations is the known phenologi cal spectra (Beideman, 197Д; Makarova et al., 2001; Terentjeva, 2008). In Russian phenology, the ‘atlas’ concept was first employed by I. N. Elagin and A. I. Lobanov (1979). This small book offers drawings of phenophases for some species, which no longer satisfy the requirements to contemporary learning aids. Their “Atlas...” (Elagin and Lobanov, 1979)