首页|Changes of growth-climate relationships of Smith fir forests along an altitudinal gradient
Changes of growth-climate relationships of Smith fir forests along an altitudinal gradient
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
万方数据
Temporal changes in the relationship between tree growth and climate have been observed in numerous forests across the world.The patterns and the possible regu-lators(e.g.,forest community structure)of such changes are,however,not well understood.A vegetation survey and analyses of growth-climate relationships for Abies georgei var.Smithii(Smith fir)forests were carried along an altitudi-nal gradient from 3600 to 4200 m on Meili Snow Mountain,southeastern Tibetan Plateau.The results showed that the associations between growth and temperature have declined since the 1970s over the whole transect,while response to standardized precipitation-evapotranspiration indices(SPEI)strengthened in the mid-and lower-transect.Comparison between growth and vegetation data showed that tree growth was more sensitive to drought in stands with higher species richness and greater shrub cover.Drought stress on growth may be increased by heavy competition from shrub and herb layers.These results show the non-stationary nature of tree growth-climate associations and the linkage to for-est community structures.Vegetation components should be considered in future modeling and forecasting of forest dynamics in relation to climate changes.
State Key Laboratory of Vegetation and Environmental Change,Institute of Botany,Chinese Academy of Sciences,Beijing 100093,People's Republic of China
University of Chinese Academy of Sciences,Beijing 100049,People's Republic of China
Linzhou Bureau of Meteorology,Linzhou,Lhasa 851611,Tibet,People's Republic of China
Institute of Plateau Ecology,Tibet Agricultural and Animal Husbandry University,Linzhi 860000,Tibet,People's Republic of China
展开 >
Second Tibetan Plateau Scientific Expedition and Research ProgramNationalNatural Science Foundation of ChinaNationalNatural Science Foundation of China
NETL
NSTL
万方数据
