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Modelling the vegetation of China using the process-based equilibrium terrestrial biosphere model BIOME3

Ni, J ; Sykes, Martin LU ; Prentice, I C and Cramer, W (2000) In Global Ecology and Biogeography Letters 9(6). p.463-480
Abstract
1 We model the potential vegetation and annual net primary production (NPP) of China on a 10' grid under the present climate using the processed-based equilibrium terrestrial biosphere model BIOME3. The simulated distribution of the vegetation was in general in good agreement with the potential natural vegetation based on a numerical comparison between the two maps using the DeltaV statistic (DeltaV = 0.23). Predicted and measured NPP were also similar, especially in terms of biome-averages.

2 A coupled ocean-atmosphere general circulation model including sulphate aerosols was used to drive a double greenhouse gas scenario for 2070-2099. Simulated vegetation maps from two different CO2 scenarios (340 and 500 p.p.m.v.) were... (More)
1 We model the potential vegetation and annual net primary production (NPP) of China on a 10' grid under the present climate using the processed-based equilibrium terrestrial biosphere model BIOME3. The simulated distribution of the vegetation was in general in good agreement with the potential natural vegetation based on a numerical comparison between the two maps using the DeltaV statistic (DeltaV = 0.23). Predicted and measured NPP were also similar, especially in terms of biome-averages.

2 A coupled ocean-atmosphere general circulation model including sulphate aerosols was used to drive a double greenhouse gas scenario for 2070-2099. Simulated vegetation maps from two different CO2 scenarios (340 and 500 p.p.m.v.) were compared to the baseline biome map using DeltaV. Climate change alone produced a large reduction in desert, alpine tundra and ice/polar desert, and a general pole-ward shift of the boreal, temperate deciduous, warm-temperate evergreen and tropical forest belts, a decline in boreal deciduous forest and the appearance of tropical deciduous forest. The inclusion of CO2 physiological effects led to a marked decrease in moist savannas and desert, a general decrease for grasslands and steppe, and disappearance of xeric woodland/scrub. Temperate deciduous broadleaved forest, however, shifted north to occupy nearly half the area of previously temperate mixed forest.



3 The impact of climate change and increasing CO2 is not only on biogeography, but also on potential NPP. The NPP values for most of the biomes in the scenarios with CO2 set at 340 p.p.m.v. and 500 p.p.m.v. are greater than those under the current climate, except for the temperate deciduous forest, temperate evergreen broadleaved forest, tropical rain forest, tropical seasonal forest, and xeric woodland/scrub biomes. Total vegetation and total carbon is simulated to increase significantly in the future climate scenario, both with and without the CO2 direct physiological effect.



4 Our results show that the global process-based equilibrium terrestrial biosphere model BIOME3 can be used successfully at a regional scale. (Less)
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author
; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Global Ecology and Biogeography Letters
volume
9
issue
6
pages
463 - 480
publisher
Wiley-Blackwell
external identifiers
  • scopus:0034467452
ISSN
0960-7447
DOI
10.1046/j.1365-2699.2000.00206.x
language
English
LU publication?
yes
id
2b922664-f6e7-4666-b7ea-a07e76273a69 (old id 152901)
date added to LUP
2016-04-01 16:07:03
date last changed
2022-04-07 03:05:42
@article{2b922664-f6e7-4666-b7ea-a07e76273a69,
  abstract     = {{1 We model the potential vegetation and annual net primary production (NPP) of China on a 10' grid under the present climate using the processed-based equilibrium terrestrial biosphere model BIOME3. The simulated distribution of the vegetation was in general in good agreement with the potential natural vegetation based on a numerical comparison between the two maps using the DeltaV statistic (DeltaV = 0.23). Predicted and measured NPP were also similar, especially in terms of biome-averages. <br/><br>
2 A coupled ocean-atmosphere general circulation model including sulphate aerosols was used to drive a double greenhouse gas scenario for 2070-2099. Simulated vegetation maps from two different CO2 scenarios (340 and 500 p.p.m.v.) were compared to the baseline biome map using DeltaV. Climate change alone produced a large reduction in desert, alpine tundra and ice/polar desert, and a general pole-ward shift of the boreal, temperate deciduous, warm-temperate evergreen and tropical forest belts, a decline in boreal deciduous forest and the appearance of tropical deciduous forest. The inclusion of CO2 physiological effects led to a marked decrease in moist savannas and desert, a general decrease for grasslands and steppe, and disappearance of xeric woodland/scrub. Temperate deciduous broadleaved forest, however, shifted north to occupy nearly half the area of previously temperate mixed forest.<br/><br>
<br/><br>
3 The impact of climate change and increasing CO2 is not only on biogeography, but also on potential NPP. The NPP values for most of the biomes in the scenarios with CO2 set at 340 p.p.m.v. and 500 p.p.m.v. are greater than those under the current climate, except for the temperate deciduous forest, temperate evergreen broadleaved forest, tropical rain forest, tropical seasonal forest, and xeric woodland/scrub biomes. Total vegetation and total carbon is simulated to increase significantly in the future climate scenario, both with and without the CO2 direct physiological effect.<br/><br>
<br/><br>
4 Our results show that the global process-based equilibrium terrestrial biosphere model BIOME3 can be used successfully at a regional scale.}},
  author       = {{Ni, J and Sykes, Martin and Prentice, I C and Cramer, W}},
  issn         = {{0960-7447}},
  language     = {{eng}},
  number       = {{6}},
  pages        = {{463--480}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Global Ecology and Biogeography Letters}},
  title        = {{Modelling the vegetation of China using the process-based equilibrium terrestrial biosphere model BIOME3}},
  url          = {{http://dx.doi.org/10.1046/j.1365-2699.2000.00206.x}},
  doi          = {{10.1046/j.1365-2699.2000.00206.x}},
  volume       = {{9}},
  year         = {{2000}},
}