Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China
Soil moisture (SM), an important variable in water conversion between the atmosphere and terrestrial ecosystems, plays a crucial role in ecological processes and the evolution of terrestrial ecosystems. Analyzing and exploring SM’s processes and influencing factors in different permafrost regions of...
Published in: | Remote Sensing |
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Main Authors: | , , , , , , |
Format: | Text |
Language: | English |
Published: |
Multidisciplinary Digital Publishing Institute
2022
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Subjects: | |
Online Access: | https://doi.org/10.3390/rs14122915 |
_version_ | 1821680595250446336 |
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author | Hongying Li Fenggui Liu Shengpeng Zhang Chaokun Zhang Cungui Zhang Weidong Ma Jing Luo |
author_facet | Hongying Li Fenggui Liu Shengpeng Zhang Chaokun Zhang Cungui Zhang Weidong Ma Jing Luo |
author_sort | Hongying Li |
collection | MDPI Open Access Publishing |
container_issue | 12 |
container_start_page | 2915 |
container_title | Remote Sensing |
container_volume | 14 |
description | Soil moisture (SM), an important variable in water conversion between the atmosphere and terrestrial ecosystems, plays a crucial role in ecological processes and the evolution of terrestrial ecosystems. Analyzing and exploring SM’s processes and influencing factors in different permafrost regions of the Qinghai-Tibet Plateau (QTP) can better serve the regional ecological security, disaster warning, water management, etc. However, the changes and future trends of SM on the QTP in recent decades are uncertain, and the main factors affecting SM are not fully understood. The study used SM observations, the Global Land Evapotranspiration Amsterdam Model (GLEAM) SM products, meteorological and vegetation data, Mann–Kendall test, Theil–Sen estimation, Ensemble Empirical Mode Decomposition (EEMD), and correlation methods to analyze and explore the characteristics and influencing factors of SM change in different permafrost regions of the QTP. The results show that: (1) At the pixel scale, GLEAM SM products can better reflect SM changes in the QTP in the warm season. The seasonal permafrost region is closer to the real SM than the permanent region, with a median correlation coefficient (R) of 0.738, median bias of 0.043 m3 m−3, and median unbiased root mean square errors (ubRMSE) of 0.031 m3 m−3. (2) The average SM in the QTP warm season increased at a rate of 0.573 × 10−3 m3 m−3 yr−1 over the recent 40 years, and the trend accelerated from 2005–2020. In 64.31% of the region, the soil was significantly wetted, mainly distributed in the permafrost region, which showed that the wetting rate in the dry region was faster than in the wet region. However, the wetting trend does not have a long-term continuity and has a pattern of “wetting–drying-wetting” on interannual and decadal levels, especially in the seasonal permafrost region. (3) More than 65% of the SM wetting trend on the QTP is caused by temperature, precipitation, and vegetation. However, there is apparent spatial heterogeneity in the different permafrost regions ... |
format | Text |
genre | permafrost |
genre_facet | permafrost |
geographic | Gleam Kendall |
geographic_facet | Gleam Kendall |
id | ftmdpi:oai:mdpi.com:/2072-4292/14/12/2915/ |
institution | Open Polar |
language | English |
long_lat | ENVELOPE(-121.220,-121.220,57.533,57.533) ENVELOPE(-59.828,-59.828,-63.497,-63.497) |
op_collection_id | ftmdpi |
op_coverage | agris |
op_doi | https://doi.org/10.3390/rs14122915 |
op_relation | https://dx.doi.org/10.3390/rs14122915 |
op_rights | https://creativecommons.org/licenses/by/4.0/ |
op_source | Remote Sensing; Volume 14; Issue 12; Pages: 2915 |
publishDate | 2022 |
publisher | Multidisciplinary Digital Publishing Institute |
record_format | openpolar |
spelling | ftmdpi:oai:mdpi.com:/2072-4292/14/12/2915/ 2025-01-17T00:13:46+00:00 Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China Hongying Li Fenggui Liu Shengpeng Zhang Chaokun Zhang Cungui Zhang Weidong Ma Jing Luo agris 2022-06-18 application/pdf https://doi.org/10.3390/rs14122915 EN eng Multidisciplinary Digital Publishing Institute https://dx.doi.org/10.3390/rs14122915 https://creativecommons.org/licenses/by/4.0/ Remote Sensing; Volume 14; Issue 12; Pages: 2915 Qinghai-Tibet Plateau soil moisture permafrost region vegetation precipitation drying–wetting remote sensing GLEAM SM Text 2022 ftmdpi https://doi.org/10.3390/rs14122915 2023-08-01T05:25:12Z Soil moisture (SM), an important variable in water conversion between the atmosphere and terrestrial ecosystems, plays a crucial role in ecological processes and the evolution of terrestrial ecosystems. Analyzing and exploring SM’s processes and influencing factors in different permafrost regions of the Qinghai-Tibet Plateau (QTP) can better serve the regional ecological security, disaster warning, water management, etc. However, the changes and future trends of SM on the QTP in recent decades are uncertain, and the main factors affecting SM are not fully understood. The study used SM observations, the Global Land Evapotranspiration Amsterdam Model (GLEAM) SM products, meteorological and vegetation data, Mann–Kendall test, Theil–Sen estimation, Ensemble Empirical Mode Decomposition (EEMD), and correlation methods to analyze and explore the characteristics and influencing factors of SM change in different permafrost regions of the QTP. The results show that: (1) At the pixel scale, GLEAM SM products can better reflect SM changes in the QTP in the warm season. The seasonal permafrost region is closer to the real SM than the permanent region, with a median correlation coefficient (R) of 0.738, median bias of 0.043 m3 m−3, and median unbiased root mean square errors (ubRMSE) of 0.031 m3 m−3. (2) The average SM in the QTP warm season increased at a rate of 0.573 × 10−3 m3 m−3 yr−1 over the recent 40 years, and the trend accelerated from 2005–2020. In 64.31% of the region, the soil was significantly wetted, mainly distributed in the permafrost region, which showed that the wetting rate in the dry region was faster than in the wet region. However, the wetting trend does not have a long-term continuity and has a pattern of “wetting–drying-wetting” on interannual and decadal levels, especially in the seasonal permafrost region. (3) More than 65% of the SM wetting trend on the QTP is caused by temperature, precipitation, and vegetation. However, there is apparent spatial heterogeneity in the different permafrost regions ... Text permafrost MDPI Open Access Publishing Gleam ENVELOPE(-121.220,-121.220,57.533,57.533) Kendall ENVELOPE(-59.828,-59.828,-63.497,-63.497) Remote Sensing 14 12 2915 |
spellingShingle | Qinghai-Tibet Plateau soil moisture permafrost region vegetation precipitation drying–wetting remote sensing GLEAM SM Hongying Li Fenggui Liu Shengpeng Zhang Chaokun Zhang Cungui Zhang Weidong Ma Jing Luo Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China |
title | Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China |
title_full | Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China |
title_fullStr | Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China |
title_full_unstemmed | Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China |
title_short | Drying–Wetting Changes of Surface Soil Moisture and the Influencing Factors in Permafrost Regions of the Qinghai-Tibet Plateau, China |
title_sort | drying–wetting changes of surface soil moisture and the influencing factors in permafrost regions of the qinghai-tibet plateau, china |
topic | Qinghai-Tibet Plateau soil moisture permafrost region vegetation precipitation drying–wetting remote sensing GLEAM SM |
topic_facet | Qinghai-Tibet Plateau soil moisture permafrost region vegetation precipitation drying–wetting remote sensing GLEAM SM |
url | https://doi.org/10.3390/rs14122915 |