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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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. |
doi_str_mv | 10.1007/s10668-020-01182-2 |
format | Article |
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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.</description><identifier>ISSN: 1387-585X</identifier><identifier>EISSN: 1573-2975</identifier><identifier>DOI: 10.1007/s10668-020-01182-2</identifier><language>eng</language><publisher>Dordrecht: Springer Netherlands</publisher><subject>Air temperature ; Alpine environments ; Anthropogenic factors ; Carrying capacity ; Change agents ; Climate change ; Density ; Dynamic structural analysis ; Earth and Environmental Science ; Ecology ; Economic Geology ; Economic Growth ; Ecosystems ; Environment ; Environmental Economics ; Environmental Management ; Grasslands ; Herbivores ; Livestock ; Net Primary Productivity ; Pasture ; Precipitation ; Productivity ; Sensitivity ; Side effects ; Sustainable Development ; Sustainable ecosystems ; Thickness</subject><ispartof>Environment, development and sustainability, 2021-08, Vol.23 (8), p.12550-12578</ispartof><rights>The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021</rights><rights>The Author(s), under exclusive licence to Springer Nature B.V. part of Springer Nature 2021.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-9e8b243aa543d663a706d08e849bd7259ff32c693787f3a09f7dbfd28bb91e8d3</citedby><cites>FETCH-LOGICAL-c319t-9e8b243aa543d663a706d08e849bd7259ff32c693787f3a09f7dbfd28bb91e8d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s10668-020-01182-2$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s10668-020-01182-2$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Fang, Yi-ping</creatorcontrib><creatorcontrib>Zhu, Fu-biao</creatorcontrib><creatorcontrib>Yi, Shu-hua</creatorcontrib><creatorcontrib>Qiu, Xiao-ping</creatorcontrib><creatorcontrib>Ding, Yong-jiang</creatorcontrib><title>Ecological carrying capacity of alpine grassland in the Qinghai–Tibet Plateau based on the structural dynamics method</title><title>Environment, development and sustainability</title><addtitle>Environ Dev Sustain</addtitle><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.</description><subject>Air temperature</subject><subject>Alpine environments</subject><subject>Anthropogenic factors</subject><subject>Carrying capacity</subject><subject>Change agents</subject><subject>Climate change</subject><subject>Density</subject><subject>Dynamic structural analysis</subject><subject>Earth and Environmental Science</subject><subject>Ecology</subject><subject>Economic Geology</subject><subject>Economic Growth</subject><subject>Ecosystems</subject><subject>Environment</subject><subject>Environmental Economics</subject><subject>Environmental Management</subject><subject>Grasslands</subject><subject>Herbivores</subject><subject>Livestock</subject><subject>Net Primary Productivity</subject><subject>Pasture</subject><subject>Precipitation</subject><subject>Productivity</subject><subject>Sensitivity</subject><subject>Side effects</subject><subject>Sustainable Development</subject><subject>Sustainable ecosystems</subject><subject>Thickness</subject><issn>1387-585X</issn><issn>1573-2975</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><recordid>eNp9kMtKxDAUhosoOI6-gKuA62oubS5LEW8gqKDgLpwm6UyGTjsmKTI738E39EmMVnDn6vyL7_8PfEVxTPApwVicRYI5lyWmuMSESFrSnWJGasFKqkS9mzOToqxl_bJfHMS4wplUlM-Kt0szdMPCG-iQgRC2vl_ksAHj0xYNLYJu43uHFgFi7KC3yPcoLR16zOAS_Of7x5NvXEIPHSQHI2ogOouGCYopjCaNIY_bbQ9rbyJau7Qc7GGx10IX3dHvnRfPV5dPFzfl3f317cX5XWkYUalUTja0YgB1xSznDATmFksnK9VYQWvVtowarpiQomWAVSts01oqm0YRJy2bFyfT7iYMr6OLSa-GMfT5paZ1VXFOKsozRSfKhCHG4Fq9CX4NYasJ1t-C9SRYZ236R7CmucSmUsxwv3Dhb_qf1hdOrIDB</recordid><startdate>20210801</startdate><enddate>20210801</enddate><creator>Fang, Yi-ping</creator><creator>Zhu, Fu-biao</creator><creator>Yi, Shu-hua</creator><creator>Qiu, Xiao-ping</creator><creator>Ding, Yong-jiang</creator><general>Springer 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carrying capacity of alpine grassland in the Qinghai–Tibet Plateau based on the structural dynamics method</title><author>Fang, Yi-ping ; Zhu, Fu-biao ; Yi, Shu-hua ; Qiu, Xiao-ping ; Ding, Yong-jiang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-9e8b243aa543d663a706d08e849bd7259ff32c693787f3a09f7dbfd28bb91e8d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Air temperature</topic><topic>Alpine environments</topic><topic>Anthropogenic factors</topic><topic>Carrying capacity</topic><topic>Change agents</topic><topic>Climate change</topic><topic>Density</topic><topic>Dynamic structural analysis</topic><topic>Earth and Environmental Science</topic><topic>Ecology</topic><topic>Economic Geology</topic><topic>Economic Growth</topic><topic>Ecosystems</topic><topic>Environment</topic><topic>Environmental Economics</topic><topic>Environmental Management</topic><topic>Grasslands</topic><topic>Herbivores</topic><topic>Livestock</topic><topic>Net Primary Productivity</topic><topic>Pasture</topic><topic>Precipitation</topic><topic>Productivity</topic><topic>Sensitivity</topic><topic>Side effects</topic><topic>Sustainable Development</topic><topic>Sustainable ecosystems</topic><topic>Thickness</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Fang, Yi-ping</creatorcontrib><creatorcontrib>Zhu, Fu-biao</creatorcontrib><creatorcontrib>Yi, Shu-hua</creatorcontrib><creatorcontrib>Qiu, Xiao-ping</creatorcontrib><creatorcontrib>Ding, Yong-jiang</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>ABI/INFORM Collection</collection><collection>ABI/INFORM Global (PDF only)</collection><collection>ProQuest Central (purchase pre-March 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grassland in the Qinghai–Tibet Plateau based on the structural dynamics method</atitle><jtitle>Environment, development and sustainability</jtitle><stitle>Environ Dev Sustain</stitle><date>2021-08-01</date><risdate>2021</risdate><volume>23</volume><issue>8</issue><spage>12550</spage><epage>12578</epage><pages>12550-12578</pages><issn>1387-585X</issn><eissn>1573-2975</eissn><abstract>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.</abstract><cop>Dordrecht</cop><pub>Springer Netherlands</pub><doi>10.1007/s10668-020-01182-2</doi><tpages>29</tpages></addata></record> |
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subjects | Air temperature Alpine environments Anthropogenic factors Carrying capacity Change agents Climate change Density Dynamic structural analysis Earth and Environmental Science Ecology Economic Geology Economic Growth Ecosystems Environment Environmental Economics Environmental Management Grasslands Herbivores Livestock Net Primary Productivity Pasture Precipitation Productivity Sensitivity Side effects Sustainable Development Sustainable ecosystems Thickness |
title | Ecological carrying capacity of alpine grassland in the Qinghai–Tibet Plateau based on the structural dynamics method |
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