Evaluation of Vegetation Restoration along an Expressway in a Cold, Arid, and Desertified Area of China

Chunfeng Jia, Bao-ping Sun, Xinxiao Yu and Xiaohui Yang
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Chunfeng Jia: School of Soil and Water Conservation Beijing Forestry University, Beijing 100083, China
Bao-ping Sun: School of Soil and Water Conservation Beijing Forestry University, Beijing 100083, China
Xinxiao Yu: School of Soil and Water Conservation Beijing Forestry University, Beijing 100083, China
Xiaohui Yang: Chinese Academy of Forestry, Beijing 100091, China

Sustainability, 2019, vol. 11, issue 8, 1-13

Abstract: Vegetation restoration plays a significant role in the restoration of expressways in the arid zone of China, but we still do not know which soil and vegetation types are most effective. We investigated soil particle size (SPZ), volume weight of the soil (VWS), soil water content (SWC), total porosity of soil (TP), soil organic matter (SOM), water erosion (W r E), and wind erosion (W d E) of eight sites (S1–S8) and evaluated them using the gray correlation method (GCM). Based on our results, the average SWC of the treatments ranged from 9.6% to 18.8%, following the order S4 > S5 > S8 > S6 > S3 > S7 > S1 > S2. The average SPZ of soils in S1, S2, S4, S5, S6, and S8 was larger, ranging from 0.23 to 0.68 mm, while that of soils in S3 and S7 was smaller, ranging from 0.01 to 0.09 mm. The TP in different treatment areas ranged from 50% to 60%, which is not conducive to soil and water conservation. The SOM levels varied widely among the different soils and were always below the threshold levels established by the second National Soil Census, rendering the soils not suitable for plant growth. The W r E (36–80 t/ha) was greater than the W d E (7–24 t/ha). In general, to achieve high soil and water conservation outcomes in this area, S1 and S7 offered the best protection benefits in terms of soil and water conservation.

Keywords: benefit evaluation; gray correlation method; soil erosion; soil physical properties (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2019
References: View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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