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Rebirth after death: forest succession dynamics in response to climate change on Gongga Mountain, Southwest China
Global climate change is having long-term impacts on the geographic distribution of forest species. However, the response of vertical belts of mountain forests to climate change is still little known. The vertical distribution of forest vegetation (vertical vegetation belt) on Gongga Mountain in Sou...
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Published in: | Journal of mountain science 2018-08, Vol.15 (8), p.1671-1681 |
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description | Global climate change is having long-term impacts on the geographic distribution of forest species. However, the response of vertical belts of mountain forests to climate change is still little known. The vertical distribution of forest vegetation (vertical vegetation belt) on Gongga Mountain in Southwest China has been monitored for 30 years. The forest alternation of the vertical vegetation belt under different climate conditions was simulated by using a mathematical model GFSM (the Gongga Forest Succession Model). Three possible Intergovernmental Panel on Climate Change (IPCC) climate scenarios (increase of air temperature and precipitation by 1.8°C/5%, 2.8°C/10% and 3.4°C/15% for B1, A1B and A2 scenarios, respectively) were chosen to reflect lower, medium and higher changes of global climate. The vertical belts of mountainous vegetation will shift upward by approximately 300 m, 500 m and 600 m in the B1, A1B and A2 scenarios, respectively, according to the simulated results. Thus, the alpine tree-line will move to a higher altitude. The simulation also demonstrated that, in a changing climate, the shift in the vegetation community will be a slow and extended process characterized by two main phases. During the initial phase, trees of the forest community degrade or die, owing to an inability to adapt to a warmer climate. This results in modest environment for the introduction of opportunistic species, consequently, the vegetation with new dominant tree species becomes predominant in the space vacated by the dead trees at the expense of previously dominated original trees as the succession succeed and climate change advance. Hence, the global climate change would dramatically change forest communities and tree species in mountainous regions because that the new forest community can grow only through the death of the original tree. Results indicated that climate change will cause the change of distribution and composition of forest communities on Gongga Mountain, and this change may enhance as the intensity of climate change increases. As a result, the alternation of death and rebirth would finally result in intensive landscape changes, and may strongly affect the eco-environment of mountainous regions. |
doi_str_mv | 10.1007/s11629-017-4435-7 |
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However, the response of vertical belts of mountain forests to climate change is still little known. The vertical distribution of forest vegetation (vertical vegetation belt) on Gongga Mountain in Southwest China has been monitored for 30 years. The forest alternation of the vertical vegetation belt under different climate conditions was simulated by using a mathematical model GFSM (the Gongga Forest Succession Model). Three possible Intergovernmental Panel on Climate Change (IPCC) climate scenarios (increase of air temperature and precipitation by 1.8°C/5%, 2.8°C/10% and 3.4°C/15% for B1, A1B and A2 scenarios, respectively) were chosen to reflect lower, medium and higher changes of global climate. The vertical belts of mountainous vegetation will shift upward by approximately 300 m, 500 m and 600 m in the B1, A1B and A2 scenarios, respectively, according to the simulated results. Thus, the alpine tree-line will move to a higher altitude. The simulation also demonstrated that, in a changing climate, the shift in the vegetation community will be a slow and extended process characterized by two main phases. During the initial phase, trees of the forest community degrade or die, owing to an inability to adapt to a warmer climate. This results in modest environment for the introduction of opportunistic species, consequently, the vegetation with new dominant tree species becomes predominant in the space vacated by the dead trees at the expense of previously dominated original trees as the succession succeed and climate change advance. Hence, the global climate change would dramatically change forest communities and tree species in mountainous regions because that the new forest community can grow only through the death of the original tree. Results indicated that climate change will cause the change of distribution and composition of forest communities on Gongga Mountain, and this change may enhance as the intensity of climate change increases. As a result, the alternation of death and rebirth would finally result in intensive landscape changes, and may strongly affect the eco-environment of mountainous regions.</description><identifier>ISSN: 1672-6316</identifier><identifier>EISSN: 1993-0321</identifier><identifier>EISSN: 1008-2786</identifier><identifier>DOI: 10.1007/s11629-017-4435-7</identifier><language>eng</language><publisher>Heidelberg: Science Press</publisher><subject>Air temperature ; Climate change ; Climatic conditions ; Communities ; Composition ; Computer simulation ; Dead wood ; Death ; Dominant species ; Dynamics ; Earth and Environmental Science ; Earth Sciences ; Ecological succession ; Ecology ; Environment ; Forest communities ; Forests ; Geographical distribution ; Geography ; Global climate ; Greenhouse effect ; Intergovernmental Panel on Climate Change ; Introduced species ; Mathematical models ; Mortality ; Mountain forests ; Mountain regions ; Mountains ; Plant species ; Regions ; Species ; Treeline ; Trees ; Vegetation ; Vertical distribution</subject><ispartof>Journal of mountain science, 2018-08, Vol.15 (8), p.1671-1681</ispartof><rights>Science Press, Institute of Mountain Hazards and Environment, CAS and Springer-Verlag GmbH Germany, part of Springer Nature 2018</rights><rights>Journal of Mountain Science is a copyright of Springer, (2018). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c316t-89964be52695f16cbb2cecbdfbdc82bec9645b69ac79fe281a84f562747def253</citedby><cites>FETCH-LOGICAL-c316t-89964be52695f16cbb2cecbdfbdc82bec9645b69ac79fe281a84f562747def253</cites><orcidid>0000-0002-2331-1368 ; 0000-0001-8765-5015 ; 0000-0001-6653-6009 ; 0000-0002-0545-1041</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Cheng, Gen-wei</creatorcontrib><creatorcontrib>Lu, Xu-yang</creatorcontrib><creatorcontrib>Wang, Xiao-dan</creatorcontrib><creatorcontrib>Sun, Jian</creatorcontrib><title>Rebirth after death: forest succession dynamics in response to climate change on Gongga Mountain, Southwest China</title><title>Journal of mountain science</title><addtitle>J. Mt. Sci</addtitle><description>Global climate change is having long-term impacts on the geographic distribution of forest species. However, the response of vertical belts of mountain forests to climate change is still little known. The vertical distribution of forest vegetation (vertical vegetation belt) on Gongga Mountain in Southwest China has been monitored for 30 years. The forest alternation of the vertical vegetation belt under different climate conditions was simulated by using a mathematical model GFSM (the Gongga Forest Succession Model). Three possible Intergovernmental Panel on Climate Change (IPCC) climate scenarios (increase of air temperature and precipitation by 1.8°C/5%, 2.8°C/10% and 3.4°C/15% for B1, A1B and A2 scenarios, respectively) were chosen to reflect lower, medium and higher changes of global climate. The vertical belts of mountainous vegetation will shift upward by approximately 300 m, 500 m and 600 m in the B1, A1B and A2 scenarios, respectively, according to the simulated results. Thus, the alpine tree-line will move to a higher altitude. The simulation also demonstrated that, in a changing climate, the shift in the vegetation community will be a slow and extended process characterized by two main phases. During the initial phase, trees of the forest community degrade or die, owing to an inability to adapt to a warmer climate. This results in modest environment for the introduction of opportunistic species, consequently, the vegetation with new dominant tree species becomes predominant in the space vacated by the dead trees at the expense of previously dominated original trees as the succession succeed and climate change advance. Hence, the global climate change would dramatically change forest communities and tree species in mountainous regions because that the new forest community can grow only through the death of the original tree. Results indicated that climate change will cause the change of distribution and composition of forest communities on Gongga Mountain, and this change may enhance as the intensity of climate change increases. As a result, the alternation of death and rebirth would finally result in intensive landscape changes, and may strongly affect the eco-environment of mountainous regions.</description><subject>Air temperature</subject><subject>Climate change</subject><subject>Climatic conditions</subject><subject>Communities</subject><subject>Composition</subject><subject>Computer simulation</subject><subject>Dead wood</subject><subject>Death</subject><subject>Dominant species</subject><subject>Dynamics</subject><subject>Earth and Environmental Science</subject><subject>Earth Sciences</subject><subject>Ecological succession</subject><subject>Ecology</subject><subject>Environment</subject><subject>Forest communities</subject><subject>Forests</subject><subject>Geographical distribution</subject><subject>Geography</subject><subject>Global climate</subject><subject>Greenhouse effect</subject><subject>Intergovernmental Panel on Climate Change</subject><subject>Introduced species</subject><subject>Mathematical models</subject><subject>Mortality</subject><subject>Mountain forests</subject><subject>Mountain regions</subject><subject>Mountains</subject><subject>Plant species</subject><subject>Regions</subject><subject>Species</subject><subject>Treeline</subject><subject>Trees</subject><subject>Vegetation</subject><subject>Vertical distribution</subject><issn>1672-6316</issn><issn>1993-0321</issn><issn>1008-2786</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LAzEQhoMoWD9-gLeAV6NJdjfZeJOiVagIfpxDkk26W9qkTbJI_70pFTx5moF533dmHgCuCL4lGPO7RAijAmHCUV1XDeJHYEKEqBCuKDkuPeMUsYqwU3CW0hJjxkVLJmD7bvUQcw-VyzbCzqrc30MXok0ZptEYm9IQPOx2Xq0Hk-DgYZltgk8W5gDNalirbKHplV9YWJSz4BcLBV_D6LMa_A38CGPuv_d5037w6gKcOLVK9vK3noOvp8fP6TOav81epg9zZMqVGbVCsFrbhjLROMKM1tRYozunO9NSbU0ZN5oJZbhwlrZEtbVrGOU176yjTXUOrg-5mxi2Y1kvl2GMvqyUFAtc4LQVKypyUJkYUorWyU0sH8WdJFjuycoDWVnIyj1ZyYuHHjypaMvX8S_5f9MPlg19dw</recordid><startdate>20180801</startdate><enddate>20180801</enddate><creator>Cheng, Gen-wei</creator><creator>Lu, Xu-yang</creator><creator>Wang, Xiao-dan</creator><creator>Sun, Jian</creator><general>Science Press</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7ST</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H96</scope><scope>HCIFZ</scope><scope>L.G</scope><scope>M2P</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>Q9U</scope><scope>SOI</scope><orcidid>https://orcid.org/0000-0002-2331-1368</orcidid><orcidid>https://orcid.org/0000-0001-8765-5015</orcidid><orcidid>https://orcid.org/0000-0001-6653-6009</orcidid><orcidid>https://orcid.org/0000-0002-0545-1041</orcidid></search><sort><creationdate>20180801</creationdate><title>Rebirth after death: forest succession dynamics in response to climate change on Gongga Mountain, Southwest China</title><author>Cheng, Gen-wei ; Lu, Xu-yang ; Wang, Xiao-dan ; Sun, Jian</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c316t-89964be52695f16cbb2cecbdfbdc82bec9645b69ac79fe281a84f562747def253</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Air temperature</topic><topic>Climate change</topic><topic>Climatic conditions</topic><topic>Communities</topic><topic>Composition</topic><topic>Computer simulation</topic><topic>Dead wood</topic><topic>Death</topic><topic>Dominant species</topic><topic>Dynamics</topic><topic>Earth and Environmental Science</topic><topic>Earth Sciences</topic><topic>Ecological succession</topic><topic>Ecology</topic><topic>Environment</topic><topic>Forest communities</topic><topic>Forests</topic><topic>Geographical distribution</topic><topic>Geography</topic><topic>Global climate</topic><topic>Greenhouse effect</topic><topic>Intergovernmental Panel on Climate Change</topic><topic>Introduced species</topic><topic>Mathematical models</topic><topic>Mortality</topic><topic>Mountain forests</topic><topic>Mountain regions</topic><topic>Mountains</topic><topic>Plant species</topic><topic>Regions</topic><topic>Species</topic><topic>Treeline</topic><topic>Trees</topic><topic>Vegetation</topic><topic>Vertical distribution</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Cheng, Gen-wei</creatorcontrib><creatorcontrib>Lu, Xu-yang</creatorcontrib><creatorcontrib>Wang, Xiao-dan</creatorcontrib><creatorcontrib>Sun, Jian</creatorcontrib><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Environment Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>ProQuest Central Essentials</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central Basic</collection><collection>Environment Abstracts</collection><jtitle>Journal of mountain science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cheng, Gen-wei</au><au>Lu, Xu-yang</au><au>Wang, Xiao-dan</au><au>Sun, Jian</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Rebirth after death: forest succession dynamics in response to climate change on Gongga Mountain, Southwest China</atitle><jtitle>Journal of mountain science</jtitle><stitle>J. Mt. Sci</stitle><date>2018-08-01</date><risdate>2018</risdate><volume>15</volume><issue>8</issue><spage>1671</spage><epage>1681</epage><pages>1671-1681</pages><issn>1672-6316</issn><eissn>1993-0321</eissn><eissn>1008-2786</eissn><abstract>Global climate change is having long-term impacts on the geographic distribution of forest species. However, the response of vertical belts of mountain forests to climate change is still little known. The vertical distribution of forest vegetation (vertical vegetation belt) on Gongga Mountain in Southwest China has been monitored for 30 years. The forest alternation of the vertical vegetation belt under different climate conditions was simulated by using a mathematical model GFSM (the Gongga Forest Succession Model). Three possible Intergovernmental Panel on Climate Change (IPCC) climate scenarios (increase of air temperature and precipitation by 1.8°C/5%, 2.8°C/10% and 3.4°C/15% for B1, A1B and A2 scenarios, respectively) were chosen to reflect lower, medium and higher changes of global climate. The vertical belts of mountainous vegetation will shift upward by approximately 300 m, 500 m and 600 m in the B1, A1B and A2 scenarios, respectively, according to the simulated results. Thus, the alpine tree-line will move to a higher altitude. The simulation also demonstrated that, in a changing climate, the shift in the vegetation community will be a slow and extended process characterized by two main phases. During the initial phase, trees of the forest community degrade or die, owing to an inability to adapt to a warmer climate. This results in modest environment for the introduction of opportunistic species, consequently, the vegetation with new dominant tree species becomes predominant in the space vacated by the dead trees at the expense of previously dominated original trees as the succession succeed and climate change advance. Hence, the global climate change would dramatically change forest communities and tree species in mountainous regions because that the new forest community can grow only through the death of the original tree. Results indicated that climate change will cause the change of distribution and composition of forest communities on Gongga Mountain, and this change may enhance as the intensity of climate change increases. As a result, the alternation of death and rebirth would finally result in intensive landscape changes, and may strongly affect the eco-environment of mountainous regions.</abstract><cop>Heidelberg</cop><pub>Science Press</pub><doi>10.1007/s11629-017-4435-7</doi><tpages>11</tpages><orcidid>https://orcid.org/0000-0002-2331-1368</orcidid><orcidid>https://orcid.org/0000-0001-8765-5015</orcidid><orcidid>https://orcid.org/0000-0001-6653-6009</orcidid><orcidid>https://orcid.org/0000-0002-0545-1041</orcidid></addata></record> |
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subjects | Air temperature Climate change Climatic conditions Communities Composition Computer simulation Dead wood Death Dominant species Dynamics Earth and Environmental Science Earth Sciences Ecological succession Ecology Environment Forest communities Forests Geographical distribution Geography Global climate Greenhouse effect Intergovernmental Panel on Climate Change Introduced species Mathematical models Mortality Mountain forests Mountain regions Mountains Plant species Regions Species Treeline Trees Vegetation Vertical distribution |
title | Rebirth after death: forest succession dynamics in response to climate change on Gongga Mountain, Southwest China |
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