Ecological vulnerability evaluation has important real significance and scientific value. In this study, under the support of
Remote Sensing and Geographic Information System, we use TM images, distribution map of sand desertification and
soil salinization, and related geographic information, and adopt a combined landscape pattern and ecosystem sensitivity
approach to access the ecological vulnerability of Duerbete County. We consider the following five factors to develop the
model: (1) reciprocal of fractal dimension (FD'), (2) isolation (FI), (3) fragmentation (FN), (4) sensitivity of sand
desertification (SD), and (5) sensitivity of soil salinization (SA). Then we build the evaluation model and calculate the
vulnerability of landscape type of Duerbete. Through Kriging interpolation, we get the regional eco-environment
vulnerability of whole county. Then we evaluate this cropping-pastoral interlacing region-Duerbete County. The
conclusions are: (1) The vulnerability of all landscape types is in the following decreasing order: grassland > cropland >
unused area > water area > construction area > wattenmeer > reed bed > woodland > paddy field; (2) There are
significant positive relationships between VI and
FN, VI and SD, SD and FN, SA and FN. This suggests that FN and SD have considerable impact on the eco-environmental vulnerability; (3) With the combination of FN, SD and SA, the regional eco-environment vulnerability can be evaluated well. The result is reasonable and can
support ecological construction.
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