NDLI: Sensitivity of potential natural vegetation in China to projected changes in temperature, precipitation and atmospheric CO2

Content Provider	Springer Nature Link
Author	Wang, Han Ni, Jian Prentice, Ian Colin
Copyright Year	2011
Abstract	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 [CO2], 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 CO2 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 CO2 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 [CO2] 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.
Starting Page	715
Ending Page	727
Page Count	13
File Format	PDF
ISSN	14363798
Journal	Regional Environmental Change
Volume Number	11
Issue Number	3
e-ISSN	1436378X
Language	English
Publisher	Springer-Verlag
Publisher Date	2011-01-20
Publisher Place	Berlin/Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Biogeography model Sensitivity analysis Climate change CO2 fertilization Carbon storage China Climate Change Regional/Spatial Science Geography (general) Geology Nature Conservation Oceanography
Content Type	Text
Resource Type	Article
Subject	Global and Planetary Change

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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