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Correction: Sandlersky et al. Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. <i>Entropy</i> 2023, <i>25</i>, 1653.

Entropy (Basel, Switzerland)·2024
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Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia.

Entropy (Basel, Switzerland)·2023
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Solar Energy Transformation Strategies by Ecosystems of the Boreal Zone (Thermodynamic Analysis Based on Remote Sensing Data).

Entropy (Basel, Switzerland)·2020
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Related Experiment Video

Updated: Nov 27, 2025

Surface Renewal: An Advanced Micrometeorological Method for Measuring and Processing Field-Scale Energy Flux Density Data
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Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data.

Robert Sandlersky1

  • 1A.N. Severtsov Institute of Ecology and Evolution of the Russian Academy of Sciences, Russian-Vietnamese Tropical Research and Technology Centre, Leninsky Prospect 33, 119071 Moscow, Russia.

Entropy (Basel, Switzerland)
|December 8, 2020
PubMed
Summary

This study analyzes solar energy transformation in tropical forests, identifying distinct thermodynamic states and systems. Tropical forest canopies maintain a cooler temperature, approximately 4°C lower than surrounding open areas.

Keywords:
biological productionecosystementropyexergyinformationlocal climatenon-equilibriumorder parametersself-organizationsuccession

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Area of Science:

  • Thermodynamics
  • Ecology
  • Forest Science

Background:

  • Solar energy transformation is crucial for ecosystem function.
  • Deciduous tropical forests play a significant role in global energy balance.
  • Understanding thermodynamic variables is key to characterizing ecosystem processes.

Purpose of the Study:

  • To analyze thermodynamic variables governing solar energy balance and structure in tropical forest ecosystems.
  • To define distinct thermodynamic states and sub-systems within these forests.
  • To correlate thermodynamic system types with landscape cover and seasonal changes.

Main Methods:

  • Analysis of seasonal dynamics of thermodynamic variables.
  • Determination of two main thermodynamic system states (drought and wet seasons).
  • Definition of balance and structural bioproductional sub-systems.
  • Classification of thermodynamic systems based on variable invariants and landscape cover.

Main Results:

  • Two primary thermodynamic states were identified: end of drought season and end of wet season.
  • Two sub-systems, balance and structural bioproductional, were defined for solar energy transformation.
  • Thermodynamic system types correlated with different landscape cover classes.
  • Seasonal variations in thermodynamic variables were observed across different system types.
  • Forest canopies were found to be approximately 4°C cooler than open areas year-round.

Conclusions:

  • The study provides a thermodynamic framework for understanding solar energy dynamics in tropical forests.
  • Thermodynamic system classification offers insights into landscape cover and ecosystem function.
  • The observed temperature difference highlights the significant microclimatic influence of tropical forests.