Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data
This paper addresses thermodynamic variables that characterize the energy balance and structure of the solar energy transformation by the ecosystems of deciduous tropical forests. By analyzing the seasonal dynamics of these variables, two main states of the thermodynamic system are determined: the e...
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doaj-16669e1c7edc4b0ab4abaae394f44caf2020-11-25T04:04:07ZengMDPI AGEntropy1099-43002020-10-01221226122610.3390/e22111226Tropical Monsoon Forest Thermodynamics Based on Remote Sensing DataRobert Sandlersky0A.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, RussiaThis paper addresses thermodynamic variables that characterize the energy balance and structure of the solar energy transformation by the ecosystems of deciduous tropical forests. By analyzing the seasonal dynamics of these variables, two main states of the thermodynamic system are determined: the end of the drought season and the end of the wet season. Two sub-systems of solar energy transformation are also defined: a balance system that is responsible for the moisture transportation between the ecosystem and atmosphere; and a structural bioproductional system responsible for biological productivity. Several types of thermodynamic systems are determined based on the ratio between the invariants of the variables. They match the main classes of the landscape cover. A seasonal change of thermodynamic variables for different types of thermodynamic systems is additionally studied. The study reveals that temperature above the forest ecosystems is about 4° lower than above the open areas during most of the year.https://www.mdpi.com/1099-4300/22/11/1226exergyentropyinformationnon-equilibriumself-organizationecosystem |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Robert Sandlersky |
spellingShingle |
Robert Sandlersky Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data Entropy exergy entropy information non-equilibrium self-organization ecosystem |
author_facet |
Robert Sandlersky |
author_sort |
Robert Sandlersky |
title |
Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data |
title_short |
Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data |
title_full |
Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data |
title_fullStr |
Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data |
title_full_unstemmed |
Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data |
title_sort |
tropical monsoon forest thermodynamics based on remote sensing data |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2020-10-01 |
description |
This paper addresses thermodynamic variables that characterize the energy balance and structure of the solar energy transformation by the ecosystems of deciduous tropical forests. By analyzing the seasonal dynamics of these variables, two main states of the thermodynamic system are determined: the end of the drought season and the end of the wet season. Two sub-systems of solar energy transformation are also defined: a balance system that is responsible for the moisture transportation between the ecosystem and atmosphere; and a structural bioproductional system responsible for biological productivity. Several types of thermodynamic systems are determined based on the ratio between the invariants of the variables. They match the main classes of the landscape cover. A seasonal change of thermodynamic variables for different types of thermodynamic systems is additionally studied. The study reveals that temperature above the forest ecosystems is about 4° lower than above the open areas during most of the year. |
topic |
exergy entropy information non-equilibrium self-organization ecosystem |
url |
https://www.mdpi.com/1099-4300/22/11/1226 |
work_keys_str_mv |
AT robertsandlersky tropicalmonsoonforestthermodynamicsbasedonremotesensingdata |
_version_ |
1724437713779687424 |