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...
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Online Access: | https://doi.org/10.3390/e25121653 https://pubmed.ncbi.nlm.nih.gov/38136533 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10742449/ |
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ftpubmed:38136533 2024-09-15T18:38:40+00:00 Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. Sandlersky, Robert Petrzhik, Nataliya Jargalsaikhan, Tushigma Shironiya, Ivan 2023 Dec 13 https://doi.org/10.3390/e25121653 https://pubmed.ncbi.nlm.nih.gov/38136533 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10742449/ eng eng MDPI https://doi.org/10.3390/e25121653 https://pubmed.ncbi.nlm.nih.gov/38136533 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10742449/ Entropy (Basel) ISSN:1099-4300 Volume:25 Issue:12 Landsat 8 Tsallis non-extensive thermodynamics ecosystem exergy order and control parameters q-index Journal Article 2023 ftpubmed https://doi.org/10.3390/e25121653 2024-06-26T16:02:00Z 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. The interplay among these subsystems delineates distinct landscape cover states. By categorizing ecosystems (pixels) based on these processes, discrete states and transitional areas (boundaries and potential disturbances) emerge. Examining the temporal dynamics of ecosystems (pixels) within this three-dimensional coordinate space facilitates predictions of future landscape states. Our findings indicate that northern Mongolian montane forests utilize a smaller proportion of received energy for productivity compared to alpine meadows, which results in their heightened vulnerability to climate change. This approach deepens our understanding of ecosystem functioning and landscape dynamics, serving as a basis for evaluating their resilience amid ongoing climate challenges. Article in Journal/Newspaper taiga PubMed Central (PMC) Entropy 25 12 1653 |
institution |
Open Polar |
collection |
PubMed Central (PMC) |
op_collection_id |
ftpubmed |
language |
English |
topic |
Landsat 8 Tsallis non-extensive thermodynamics ecosystem exergy order and control parameters q-index |
spellingShingle |
Landsat 8 Tsallis non-extensive thermodynamics ecosystem exergy order and control parameters q-index Sandlersky, Robert Petrzhik, Nataliya Jargalsaikhan, Tushigma Shironiya, Ivan Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. |
topic_facet |
Landsat 8 Tsallis non-extensive thermodynamics ecosystem exergy order and control parameters q-index |
description |
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. The interplay among these subsystems delineates distinct landscape cover states. By categorizing ecosystems (pixels) based on these processes, discrete states and transitional areas (boundaries and potential disturbances) emerge. Examining the temporal dynamics of ecosystems (pixels) within this three-dimensional coordinate space facilitates predictions of future landscape states. Our findings indicate that northern Mongolian montane forests utilize a smaller proportion of received energy for productivity compared to alpine meadows, which results in their heightened vulnerability to climate change. This approach deepens our understanding of ecosystem functioning and landscape dynamics, serving as a basis for evaluating their resilience amid ongoing climate challenges. |
format |
Article in Journal/Newspaper |
author |
Sandlersky, Robert Petrzhik, Nataliya Jargalsaikhan, Tushigma Shironiya, Ivan |
author_facet |
Sandlersky, Robert Petrzhik, Nataliya Jargalsaikhan, Tushigma Shironiya, Ivan |
author_sort |
Sandlersky, Robert |
title |
Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. |
title_short |
Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. |
title_full |
Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. |
title_fullStr |
Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. |
title_full_unstemmed |
Multispectral Remote Sensing Data Application in Modelling Non-Extensive Tsallis Thermodynamics for Mountain Forests in Northern Mongolia. |
title_sort |
multispectral remote sensing data application in modelling non-extensive tsallis thermodynamics for mountain forests in northern mongolia. |
publisher |
MDPI |
publishDate |
2023 |
url |
https://doi.org/10.3390/e25121653 https://pubmed.ncbi.nlm.nih.gov/38136533 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10742449/ |
genre |
taiga |
genre_facet |
taiga |
op_source |
Entropy (Basel) ISSN:1099-4300 Volume:25 Issue:12 |
op_relation |
https://doi.org/10.3390/e25121653 https://pubmed.ncbi.nlm.nih.gov/38136533 https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10742449/ |
op_doi |
https://doi.org/10.3390/e25121653 |
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Entropy |
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25 |
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12 |
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1653 |
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