Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method
The ecological carrying capacity (ECC) is a barometer for ecosystem sustainability. Alpine grassland ecosystems are thought to be the most sensitive ecosystems to climate change. Yet, the ECC of alpine grassland is less well understood. This study aims to establish a structural dynamics model that i...
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Online Access: | http://ir.imde.ac.cn/handle/131551/55150 http://ir.imde.ac.cn/handle/131551/55151 https://doi.org/10.1007/s10668-020-01182-2 |
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ftchinacadscimhe:oai:ir.imde.ac.cn:131551/55151 2023-05-15T13:03:09+02:00 Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method Fang, Yi-ping Zhu, Fu-biao Yi, Shu-hua (4)Qiu, Xiao-ping(5) Ding, Yong-jiang 2021 http://ir.imde.ac.cn/handle/131551/55150 http://ir.imde.ac.cn/handle/131551/55151 https://doi.org/10.1007/s10668-020-01182-2 英语 eng SPRINGER ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY http://ir.imde.ac.cn/handle/131551/55150 http://ir.imde.ac.cn/handle/131551/55151 doi:10.1007/s10668-020-01182-2 Alpine grassland Ecological carrying capacity Permafrost region Thickness of permafrost active layer Structural dynamics Qinghai– Tibet Plateau 3-RIVER HEADWATERS REGION SYSTEM DYNAMICS CLIMATE-CHANGE PERMAFROST CHINA WATER RESOURCES ECOSYSTEM IMPACTS BALANCE Science & Technology - Other Topics Environmental Sciences & Ecology Green & Sustainable Science & Technology Environmental Sciences Article;Early Access 期刊论文 2021 ftchinacadscimhe https://doi.org/10.1007/s10668-020-01182-2 2022-12-19T18:29:17Z The ecological carrying capacity (ECC) is a barometer for ecosystem sustainability. Alpine grassland ecosystems are thought to be the most sensitive ecosystems to climate change. Yet, the ECC of alpine grassland is less well understood. This study aims to establish a structural dynamics model that it enables us to capture different states, changes in tendency, as well as major driving variables of alpine grassland ECC. The results showed that the active layer thickness had a significant adverse effect on ECC (p = 0.05), while precipitation, air temperature, net primary productivity (NPP) had a significant positive effect on ECC (p = 0.01). And anthropogenic factors like fenced pasture, warm shed area, sown grassland area, and livestock density also caused an increase in ECC (p = 0.05). The ECC of alpine grassland displayed an increasing trend on the Qinghai-Tibetan Plateau (QTP). The mean contributions of active layer thickness, NPP, precipitation, and air temperature to the ECC were - 10.0% (p = 0.05), 52.1% (p = 0.01), 17.0% (p = 0.01), and 12.0% (p = 0.01), respectively. From 1980 through 2013, the average annual growth of ECC was 9.1%. The sensitivity of the grassland ECC to major climate variables fluctuated, with periods of high and low sensitivity recorded. On a geographical scale, the Tibet Autonomous Region had higher levels of sensitivity to change, with larger fluctuations, in comparison with Qinghai Province. These findings could provide an important basis for effective adaptation of alpine ecosystem to climate change. Report Active layer thickness permafrost IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences) Environment, Development and Sustainability 23 8 12550 12578 |
institution |
Open Polar |
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IMHE OpenIR (Institute of Mountain Hazards and Environment, Chinese Academy of Sciences) |
op_collection_id |
ftchinacadscimhe |
language |
English |
topic |
Alpine grassland Ecological carrying capacity Permafrost region Thickness of permafrost active layer Structural dynamics Qinghai– Tibet Plateau 3-RIVER HEADWATERS REGION SYSTEM DYNAMICS CLIMATE-CHANGE PERMAFROST CHINA WATER RESOURCES ECOSYSTEM IMPACTS BALANCE Science & Technology - Other Topics Environmental Sciences & Ecology Green & Sustainable Science & Technology Environmental Sciences |
spellingShingle |
Alpine grassland Ecological carrying capacity Permafrost region Thickness of permafrost active layer Structural dynamics Qinghai– Tibet Plateau 3-RIVER HEADWATERS REGION SYSTEM DYNAMICS CLIMATE-CHANGE PERMAFROST CHINA WATER RESOURCES ECOSYSTEM IMPACTS BALANCE Science & Technology - Other Topics Environmental Sciences & Ecology Green & Sustainable Science & Technology Environmental Sciences Fang, Yi-ping Zhu, Fu-biao Yi, Shu-hua (4)Qiu, Xiao-ping(5) Ding, Yong-jiang Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method |
topic_facet |
Alpine grassland Ecological carrying capacity Permafrost region Thickness of permafrost active layer Structural dynamics Qinghai– Tibet Plateau 3-RIVER HEADWATERS REGION SYSTEM DYNAMICS CLIMATE-CHANGE PERMAFROST CHINA WATER RESOURCES ECOSYSTEM IMPACTS BALANCE Science & Technology - Other Topics Environmental Sciences & Ecology Green & Sustainable Science & Technology Environmental Sciences |
description |
The ecological carrying capacity (ECC) is a barometer for ecosystem sustainability. Alpine grassland ecosystems are thought to be the most sensitive ecosystems to climate change. Yet, the ECC of alpine grassland is less well understood. This study aims to establish a structural dynamics model that it enables us to capture different states, changes in tendency, as well as major driving variables of alpine grassland ECC. The results showed that the active layer thickness had a significant adverse effect on ECC (p = 0.05), while precipitation, air temperature, net primary productivity (NPP) had a significant positive effect on ECC (p = 0.01). And anthropogenic factors like fenced pasture, warm shed area, sown grassland area, and livestock density also caused an increase in ECC (p = 0.05). The ECC of alpine grassland displayed an increasing trend on the Qinghai-Tibetan Plateau (QTP). The mean contributions of active layer thickness, NPP, precipitation, and air temperature to the ECC were - 10.0% (p = 0.05), 52.1% (p = 0.01), 17.0% (p = 0.01), and 12.0% (p = 0.01), respectively. From 1980 through 2013, the average annual growth of ECC was 9.1%. The sensitivity of the grassland ECC to major climate variables fluctuated, with periods of high and low sensitivity recorded. On a geographical scale, the Tibet Autonomous Region had higher levels of sensitivity to change, with larger fluctuations, in comparison with Qinghai Province. These findings could provide an important basis for effective adaptation of alpine ecosystem to climate change. |
format |
Report |
author |
Fang, Yi-ping Zhu, Fu-biao Yi, Shu-hua (4)Qiu, Xiao-ping(5) Ding, Yong-jiang |
author_facet |
Fang, Yi-ping Zhu, Fu-biao Yi, Shu-hua (4)Qiu, Xiao-ping(5) Ding, Yong-jiang |
author_sort |
Fang, Yi-ping |
title |
Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method |
title_short |
Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method |
title_full |
Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method |
title_fullStr |
Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method |
title_full_unstemmed |
Ecological carrying capacity of alpine grassland in the Qinghai-Tibet Plateau based on the structural dynamics method |
title_sort |
ecological carrying capacity of alpine grassland in the qinghai-tibet plateau based on the structural dynamics method |
publisher |
SPRINGER |
publishDate |
2021 |
url |
http://ir.imde.ac.cn/handle/131551/55150 http://ir.imde.ac.cn/handle/131551/55151 https://doi.org/10.1007/s10668-020-01182-2 |
genre |
Active layer thickness permafrost |
genre_facet |
Active layer thickness permafrost |
op_relation |
ENVIRONMENT DEVELOPMENT AND SUSTAINABILITY http://ir.imde.ac.cn/handle/131551/55150 http://ir.imde.ac.cn/handle/131551/55151 doi:10.1007/s10668-020-01182-2 |
op_doi |
https://doi.org/10.1007/s10668-020-01182-2 |
container_title |
Environment, Development and Sustainability |
container_volume |
23 |
container_issue |
8 |
container_start_page |
12550 |
op_container_end_page |
12578 |
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1766329610219290624 |