Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020
Ecosystems at the southern edge of the permafrost distribution are highly sensitive to global warming. Changes in soil freeze-thaw cycles can influence vegetation growth in permafrost regions. Extant studies mainly focused on analyzing the differences of vegetation dynamics in different permafrost r...
Published in: | Geo-spatial Information Science |
---|---|
Main Authors: | , , , , , , |
Format: | Article in Journal/Newspaper |
Language: | English |
Published: |
Taylor & Francis Group
2024
|
Subjects: | |
Online Access: | https://doi.org/10.1080/10095020.2024.2363618 https://doaj.org/article/f20a68e6b2404012b273079b167d7950 |
id |
ftdoajarticles:oai:doaj.org/article:f20a68e6b2404012b273079b167d7950 |
---|---|
record_format |
openpolar |
spelling |
ftdoajarticles:oai:doaj.org/article:f20a68e6b2404012b273079b167d7950 2024-09-09T20:02:43+00:00 Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 Hong Yang Yanqiu Xing Xiaoqing Chang Jiaqi Wang Yuanxin Li Jie Tang Dejun Wang 2024-07-01T00:00:00Z https://doi.org/10.1080/10095020.2024.2363618 https://doaj.org/article/f20a68e6b2404012b273079b167d7950 EN eng Taylor & Francis Group https://www.tandfonline.com/doi/10.1080/10095020.2024.2363618 https://doaj.org/toc/1009-5020 https://doaj.org/toc/1993-5153 doi:10.1080/10095020.2024.2363618 1993-5153 1009-5020 https://doaj.org/article/f20a68e6b2404012b273079b167d7950 Geo-spatial Information Science, Pp 1-19 (2024) Permafrost degradation vegetation growth Net Primary Productivity (NPP) Northeast China (NEC) internal response Mathematical geography. Cartography GA1-1776 Geodesy QB275-343 article 2024 ftdoajarticles https://doi.org/10.1080/10095020.2024.2363618 2024-08-05T17:48:54Z Ecosystems at the southern edge of the permafrost distribution are highly sensitive to global warming. Changes in soil freeze-thaw cycles can influence vegetation growth in permafrost regions. Extant studies mainly focused on analyzing the differences of vegetation dynamics in different permafrost regions. However, the intrinsic drivers of permafrost degradation on vegetation growth remain elusive yet. Based on the top temperature of permafrost (TTOP) model, we simulated the spatial distribution of permafrost in Northeast China (NEC) from 2001 to 2020. Using the data of the vegetation Net Primary Productivity (NPP), vegetation phenology, climate and permafrost phenology, and analytical methods including partial correlation, multiple linear regression, and path analysis, we explored the response of vegetation growth and phenology to soil freeze-thaw changes and climate change under different degrees of permafrost degradation. Overall, the start date of the growing season (SOS) was very sensitive to the start date of soil thaw (SOT) changes, and multiple regression analyses showed that SOT was the main factor influencing SOS in 41.8% of the NEC region. Climatic factors remain the main factors affecting vegetation NPP in NEC, and the results of partial correlation analysis showed that only 9.7% of the regional duration of soil thaw (DOT) had a strong correlation with vegetation NPP. Therefore, we determined the mechanism responsible for the soil freeze-thaw changes and vegetation growth relationship using the path analysis. The results indicated that there is a potential inhibitory effect of persistent permafrost degradation on vegetation growth. Our findings would contribute to the improvement of process-based models of forest dynamics in the boreal region, which would help to plan sustainable development and conservation strategies in permafrost areas. Article in Journal/Newspaper permafrost Directory of Open Access Journals: DOAJ Articles Geo-spatial Information Science 1 19 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Permafrost degradation vegetation growth Net Primary Productivity (NPP) Northeast China (NEC) internal response Mathematical geography. Cartography GA1-1776 Geodesy QB275-343 |
spellingShingle |
Permafrost degradation vegetation growth Net Primary Productivity (NPP) Northeast China (NEC) internal response Mathematical geography. Cartography GA1-1776 Geodesy QB275-343 Hong Yang Yanqiu Xing Xiaoqing Chang Jiaqi Wang Yuanxin Li Jie Tang Dejun Wang Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 |
topic_facet |
Permafrost degradation vegetation growth Net Primary Productivity (NPP) Northeast China (NEC) internal response Mathematical geography. Cartography GA1-1776 Geodesy QB275-343 |
description |
Ecosystems at the southern edge of the permafrost distribution are highly sensitive to global warming. Changes in soil freeze-thaw cycles can influence vegetation growth in permafrost regions. Extant studies mainly focused on analyzing the differences of vegetation dynamics in different permafrost regions. However, the intrinsic drivers of permafrost degradation on vegetation growth remain elusive yet. Based on the top temperature of permafrost (TTOP) model, we simulated the spatial distribution of permafrost in Northeast China (NEC) from 2001 to 2020. Using the data of the vegetation Net Primary Productivity (NPP), vegetation phenology, climate and permafrost phenology, and analytical methods including partial correlation, multiple linear regression, and path analysis, we explored the response of vegetation growth and phenology to soil freeze-thaw changes and climate change under different degrees of permafrost degradation. Overall, the start date of the growing season (SOS) was very sensitive to the start date of soil thaw (SOT) changes, and multiple regression analyses showed that SOT was the main factor influencing SOS in 41.8% of the NEC region. Climatic factors remain the main factors affecting vegetation NPP in NEC, and the results of partial correlation analysis showed that only 9.7% of the regional duration of soil thaw (DOT) had a strong correlation with vegetation NPP. Therefore, we determined the mechanism responsible for the soil freeze-thaw changes and vegetation growth relationship using the path analysis. The results indicated that there is a potential inhibitory effect of persistent permafrost degradation on vegetation growth. Our findings would contribute to the improvement of process-based models of forest dynamics in the boreal region, which would help to plan sustainable development and conservation strategies in permafrost areas. |
format |
Article in Journal/Newspaper |
author |
Hong Yang Yanqiu Xing Xiaoqing Chang Jiaqi Wang Yuanxin Li Jie Tang Dejun Wang |
author_facet |
Hong Yang Yanqiu Xing Xiaoqing Chang Jiaqi Wang Yuanxin Li Jie Tang Dejun Wang |
author_sort |
Hong Yang |
title |
Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 |
title_short |
Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 |
title_full |
Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 |
title_fullStr |
Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 |
title_full_unstemmed |
Internal response of vegetation growth to degrees of permafrost degradation in Northeast China from 2001 to 2020 |
title_sort |
internal response of vegetation growth to degrees of permafrost degradation in northeast china from 2001 to 2020 |
publisher |
Taylor & Francis Group |
publishDate |
2024 |
url |
https://doi.org/10.1080/10095020.2024.2363618 https://doaj.org/article/f20a68e6b2404012b273079b167d7950 |
genre |
permafrost |
genre_facet |
permafrost |
op_source |
Geo-spatial Information Science, Pp 1-19 (2024) |
op_relation |
https://www.tandfonline.com/doi/10.1080/10095020.2024.2363618 https://doaj.org/toc/1009-5020 https://doaj.org/toc/1993-5153 doi:10.1080/10095020.2024.2363618 1993-5153 1009-5020 https://doaj.org/article/f20a68e6b2404012b273079b167d7950 |
op_doi |
https://doi.org/10.1080/10095020.2024.2363618 |
container_title |
Geo-spatial Information Science |
container_start_page |
1 |
op_container_end_page |
19 |
_version_ |
1809934653658759168 |