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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Main Author: Robert Sandlersky
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Entropy
Subjects:
Online Access:https://www.mdpi.com/1099-4300/22/11/1226
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spelling 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
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