Correction: Sandlersky et al. Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. 2023, , 1653.

There were some errors in the original publication [...

Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia.

The imminent threat of Mongolian montane forests facing extinction due to climate change emphasizes the pressing need to study these ecosystems for sustainable development. Leveraging multispectral remote sensing data from Landsat 8 OLI TIRS (2013-2021), we apply Tsallis non-extensive thermodynamics to assess spatiotemporal fluctuations in the absorbed solar energy budget (exergy, bound energy, internal energy increment) and organizational parameters (entropy, information increment, q-index) within the mountain taiga-meadow landscape. Using the principal component method, we discern three functional subsystems: evapotranspiration, heat dissipation, and a structural-informational component linked to bioproductivity.

[Spatial-temporal dynamics of the pine marten (Martes martes L.), mountain hare (Lepus timidus L.) and red squirrel (Sciurus vulgaris L.) trail activity in the European southern taiga].

Observations of trail activity of the martens, mountain hares, and red squirrels in winter along fixed routes in the Central Forest Reserve showed its high variability and synchronism in time and space. Polynomial dependence of the trail activity and correlation between spatial distribution of marten, mountain hare and squirrel are detected. The influence of weather on the trail activity is smaller, but statistically significant.