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Zhang, X. S., Yang, D. A., Zhou, G. S., Liu, C. Y., & Zhang, J. (1996). Model Expectation of Impacts of Global Climate Change on Biomes of the Tibetan Plateau. In K. Omasa, K. Kai, H. Taoda, Z. Uchijima, & M. Yoshino (Eds.), Climate change and plants in East Asia (pp. 25-38). Tokyo, JP: Springer-Verlag.

has been cited by the following article:

• TITLE: Global Warming Impacts on Alpine Vegetation Dynamic in Qinghai-Tibet Plateau of China

  AUTHORS: Yan Qing Zhang, Jeffery M. Welker

  KEYWORDS: Global Warming, Alpine Vegetaion, Qinghai-Tibet Plateau

  JOURNAL NAME: Journal of Geoscience and Environment Protection, Vol.2 No.3, June 13, 2014

  ABSTRACT: This study is to illustrate alpine vegetation dynamics in Qinghai-Tibetan Plateau of China from simulated filed experimental climate change, vegetation community dynamic simulation integrated with scenarios of global temperature increase of 1 to 3°C, and simulated regional alpine vegetation distribution changes in responses to global warming. Our warming treatment increased air temperatures by 5°C on average and soil temperatures were elevated by 3°C at 5 cm depth. Above- ground biomass of grasses responded rapidly to the warmer conditions whereby biomass was 25% greater than that of controls after only 5 wk of experimental warming. This increase was accompanied by a simultaneous decrease in forb biomass, resulting in almost no net change in community biomass after 5 wk. Under warmed conditions, peak community bio-mass was extended into October due in part to continued growth of grasses and the postponement of senescence. The Vegetation Dynamic Simulation Model calculates a probability surface for each vegetation type, and then combines all vegetation types into a composite map, determined by the maximum likelihood that each vegetation type should distribute to each raster unit. With scenarios of global temperature increase of 1°C to 3°C, the vegetation types such as Dry Kobresia Meadow and Dry Potentilla Shrub that are adapted to warm and dry conditions tend to become more dominant in the study area.