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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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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2020
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712327/ https://www.ncbi.nlm.nih.gov/pubmed/33286994 http://dx.doi.org/10.3390/e22111226 |
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author | Sandlersky, Robert |
author_facet | Sandlersky, Robert |
author_sort | Sandlersky, Robert |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-7712327 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77123272021-02-24 Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data Sandlersky, Robert Entropy (Basel) Article 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. MDPI 2020-10-28 /pmc/articles/PMC7712327/ /pubmed/33286994 http://dx.doi.org/10.3390/e22111226 Text en © 2020 by the author. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Sandlersky, Robert Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data |
title | 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_short | Tropical Monsoon Forest Thermodynamics Based on Remote Sensing Data |
title_sort | tropical monsoon forest thermodynamics based on remote sensing data |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7712327/ https://www.ncbi.nlm.nih.gov/pubmed/33286994 http://dx.doi.org/10.3390/e22111226 |
work_keys_str_mv | AT sandlerskyrobert tropicalmonsoonforestthermodynamicsbasedonremotesensingdata |