Gradient analysis and environmental interpretation of desert-oasis ecotone vegetation in Fukang, Xinjiang

Yuandong Zhang; Fengxue Gu; Xiaoling Pan

doi:10.1117/12.466214

14 July 2003 Gradient analysis and environmental interpretation of desert-oasis ecotone vegetation in Fukang, Xinjiang

Yuandong Zhang, Fengxue Gu, Xiaoling Pan

Proceedings Volume 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land; (2003) https://doi.org/10.1117/12.466214
Event: Third International Asia-Pacific Environmental Remote Sensing Remote Sensing of the Atmosphere, Ocean, Environment, and Space, 2002, Hangzhou, China

Abstract

A multivariate analysis of desert-oasis ecotone vegetation in Fukang with 55x42 (plots x species) species matrix,55x4 environment matrix and 55x5 spatial coordinates surveyed in Fukang is presented. The results show:1) eight communities are identified from the 55 plots (Haloxylon ammodendron desert, Reaumuria soongorica +Haloxylon ammodendron desert, Reaumuria soongorica desert, Woody halophyte desert, Tamarix spp. shrub, Petrosimonia sibirica community, Suaeda corniculata community, Bassia sedoides + Bassia dasyphylla community). 2)plant species are classified into 5 ecotypes: arid type, osculant type, Halophyte I, Halophyte II,and secondary type. 3) DCA ordination is superior to CCA and DCCA on desert-oasis ecotone vegetation. 4) Variation of ecotone vegetation explained by environmental and spatial factors reaches 23.4%, among these the species matrix explained by non-spatial soil factors accounts for up to 11.5% of variation, spatial variation that is not shared by soil factors explains up to 11.6%, spatial variation interacted with soil factors up to 0.3%, 76.6% of undetermined variation remains due to biological and random factors.

Citation Download Citation

Yuandong Zhang, Fengxue Gu, and Xiaoling Pan "Gradient analysis and environmental interpretation of desert-oasis ecotone vegetation in Fukang, Xinjiang", Proc. SPIE 4890, Ecosystems Dynamics, Ecosystem-Society Interactions, and Remote Sensing Applications for Semi-Arid and Arid Land, (14 July 2003); https://doi.org/10.1117/12.466214

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KEYWORDS

Vegetation

Simulation of CCA and DLA aggregates

Fluctuations and noise

Neodymium

Soil science

Analytical research

Biological research

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