Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2
A sensitivity study was performed to investigate the responses of potential natural vegetation distribution in China to the separate and combined effects of temperature, precipitation and [CO 2 ], using the process-based equilibrium terrestrial biosphere model BIOME4. The model shows a generally goo...
Published in: | Regional Environmental Change |
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Online Access: | https://researchers.mq.edu.au/en/publications/98f9803d-a7d5-4db1-881c-40d8ae3cf34d https://doi.org/10.1007/s10113-011-0204-2 http://www.scopus.com/inward/record.url?scp=80051942831&partnerID=8YFLogxK http://www.scopus.com/inward/record.url?scp=80051923474&partnerID=8YFLogxK |
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ftmacquarieunicr:oai:https://researchers.mq.edu.au:publications/98f9803d-a7d5-4db1-881c-40d8ae3cf34d 2024-06-23T07:57:17+00:00 Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 Wang, Han Ni, Jian Prentice, Ian Colin 2011-09 https://researchers.mq.edu.au/en/publications/98f9803d-a7d5-4db1-881c-40d8ae3cf34d https://doi.org/10.1007/s10113-011-0204-2 http://www.scopus.com/inward/record.url?scp=80051942831&partnerID=8YFLogxK http://www.scopus.com/inward/record.url?scp=80051923474&partnerID=8YFLogxK eng eng info:eu-repo/semantics/closedAccess Wang , H , Ni , J & Prentice , I C 2011 , ' Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 ' , Regional Environmental Change , vol. 11 , no. 3 , pp. 715-727 . https://doi.org/10.1007/s10113-011-0204-2 , https://doi.org/10.1007/s10113-011-0217-x biogeography model sensitivity analysis climate change CO2 fertilization carbon storage China article 2011 ftmacquarieunicr https://doi.org/10.1007/s10113-011-0204-2 2024-06-05T23:47:47Z A sensitivity study was performed to investigate the responses of potential natural vegetation distribution in China to the separate and combined effects of temperature, precipitation and [CO 2 ], using the process-based equilibrium terrestrial biosphere model BIOME4. The model shows a generally good agreement with a map of the potential natural vegetation distribution based on a numerical comparison using the ΔV statistic (ΔV = 0.25). Mean temperature of each month was increased uniformly by 0-5 K, in 0. 5- or 1-K intervals. Mean precipitation of each month was increased and decreased uniformly by 0-30%, in 10% intervals. The analyses were run at fixed CO 2 concentrations of 360 and 720 ppm. Temperature increases shifted most forest boundaries northward and westward, expanded the distribution of xeric biomes, and confined the tundra to progressively higher elevations. Precipitation increases led to a greater area occupied by mesic biomes at the expense of xeric biomes. Most vegetation types in the temperate regions, and on the Tibetan Plateau, expanded westward into the dry continental interior with increasing precipitation. Precipitation decreases had opposite effects. The modelled effect of CO 2 doubling was to partially compensate for the negative effect of drought on the mesic biomes and to increase potential ecosystem carbon storage by about 40%. Warming tended to counteract this effect, by reducing soil carbon storage. Forest biomes showed substantial resilience to climate change, especially when the effects of increasing [CO 2 ] were taken into account. Savannas, dry woodland and tundra biomes proved sensitive to temperature increases. The transition region of grassland and forest, and the Tibetan plateau, was the most vulnerable region. Article in Journal/Newspaper Tundra Macquarie University Research Portal Regional Environmental Change 11 3 715 727 |
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Macquarie University Research Portal |
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ftmacquarieunicr |
language |
English |
topic |
biogeography model sensitivity analysis climate change CO2 fertilization carbon storage China |
spellingShingle |
biogeography model sensitivity analysis climate change CO2 fertilization carbon storage China Wang, Han Ni, Jian Prentice, Ian Colin Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 |
topic_facet |
biogeography model sensitivity analysis climate change CO2 fertilization carbon storage China |
description |
A sensitivity study was performed to investigate the responses of potential natural vegetation distribution in China to the separate and combined effects of temperature, precipitation and [CO 2 ], using the process-based equilibrium terrestrial biosphere model BIOME4. The model shows a generally good agreement with a map of the potential natural vegetation distribution based on a numerical comparison using the ΔV statistic (ΔV = 0.25). Mean temperature of each month was increased uniformly by 0-5 K, in 0. 5- or 1-K intervals. Mean precipitation of each month was increased and decreased uniformly by 0-30%, in 10% intervals. The analyses were run at fixed CO 2 concentrations of 360 and 720 ppm. Temperature increases shifted most forest boundaries northward and westward, expanded the distribution of xeric biomes, and confined the tundra to progressively higher elevations. Precipitation increases led to a greater area occupied by mesic biomes at the expense of xeric biomes. Most vegetation types in the temperate regions, and on the Tibetan Plateau, expanded westward into the dry continental interior with increasing precipitation. Precipitation decreases had opposite effects. The modelled effect of CO 2 doubling was to partially compensate for the negative effect of drought on the mesic biomes and to increase potential ecosystem carbon storage by about 40%. Warming tended to counteract this effect, by reducing soil carbon storage. Forest biomes showed substantial resilience to climate change, especially when the effects of increasing [CO 2 ] were taken into account. Savannas, dry woodland and tundra biomes proved sensitive to temperature increases. The transition region of grassland and forest, and the Tibetan plateau, was the most vulnerable region. |
format |
Article in Journal/Newspaper |
author |
Wang, Han Ni, Jian Prentice, Ian Colin |
author_facet |
Wang, Han Ni, Jian Prentice, Ian Colin |
author_sort |
Wang, Han |
title |
Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 |
title_short |
Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 |
title_full |
Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 |
title_fullStr |
Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 |
title_full_unstemmed |
Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 |
title_sort |
sensitivity of potential natural vegetation in china to projected changes in temperature, precipitation and atmospheric co 2 |
publishDate |
2011 |
url |
https://researchers.mq.edu.au/en/publications/98f9803d-a7d5-4db1-881c-40d8ae3cf34d https://doi.org/10.1007/s10113-011-0204-2 http://www.scopus.com/inward/record.url?scp=80051942831&partnerID=8YFLogxK http://www.scopus.com/inward/record.url?scp=80051923474&partnerID=8YFLogxK |
genre |
Tundra |
genre_facet |
Tundra |
op_source |
Wang , H , Ni , J & Prentice , I C 2011 , ' Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO 2 ' , Regional Environmental Change , vol. 11 , no. 3 , pp. 715-727 . https://doi.org/10.1007/s10113-011-0204-2 , https://doi.org/10.1007/s10113-011-0217-x |
op_rights |
info:eu-repo/semantics/closedAccess |
op_doi |
https://doi.org/10.1007/s10113-011-0204-2 |
container_title |
Regional Environmental Change |
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11 |
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3 |
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715 |
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727 |
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1802650848485965824 |