QUANTITATIVE STUDY ON THE EVOLUTION CHARACTERISTICS AND DRIVING FACTORS OF GRASSLAND DESERTIFICATION IN RUOERGAI COUNTY

SHANG Min; JIA Yangjiacuo; LIU Hongtao; LIU Yi; YUAN Bo; CHEN Ying; LIU Min

doi:10.13205/j.hjgc.202412006

Volume 42 Issue 12

Dec. 2024

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SHANG Min, JIA Yangjiacuo, LIU Hongtao, LIU Yi, YUAN Bo, CHEN Ying, LIU Min. QUANTITATIVE STUDY ON THE EVOLUTION CHARACTERISTICS AND DRIVING FACTORS OF GRASSLAND DESERTIFICATION IN RUOERGAI COUNTY[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(12): 43-51. doi: 10.13205/j.hjgc.202412006

Citation:

SHANG Min, JIA Yangjiacuo, LIU Hongtao, LIU Yi, YUAN Bo, CHEN Ying, LIU Min. QUANTITATIVE STUDY ON THE EVOLUTION CHARACTERISTICS AND DRIVING FACTORS OF GRASSLAND DESERTIFICATION IN RUOERGAI COUNTY[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(12): 43-51. doi: 10.13205/j.hjgc.202412006

Citation:

SHANG Min, JIA Yangjiacuo, LIU Hongtao, LIU Yi, YUAN Bo, CHEN Ying, LIU Min. QUANTITATIVE STUDY ON THE EVOLUTION CHARACTERISTICS AND DRIVING FACTORS OF GRASSLAND DESERTIFICATION IN RUOERGAI COUNTY[J]. ENVIRONMENTAL ENGINEERING , 2024, 42(12): 43-51. doi: 10.13205/j.hjgc.202412006

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QUANTITATIVE STUDY ON THE EVOLUTION CHARACTERISTICS AND DRIVING FACTORS OF GRASSLAND DESERTIFICATION IN RUOERGAI COUNTY

doi: 10.13205/j.hjgc.202412006

SHANG Min^1,2,
JIA Yangjiacuo³,
LIU Hongtao⁴,
LIU Yi²,
YUAN Bo⁴,
CHEN Ying¹,
LIU Min^{1
,
,}

1. College of Architecture and Environment, Sichuan University, Chengdu 610065, China;
2. Solid Waste and Chemicals Management Center of Sichuan Province, Chengdu 610031, China;
3. Ruoergai Forestry and Grassland Bureau, Aba 624599, China;
4. Sichuan Aba Ecology and Environment Monitoring Central Station, Aba 624000, China

Received Date: 2024-08-26
Available Online: 2025-01-18

Abstract

Abstract

It is of decisive significance to clarify the characteristic trend of grassland desertification area change and the driving effect of each influencing factor for consolidating and promoting the desertification control effect in Ruoergai County. Through the linear fitting analysis of the correlation between desertification area change and driving factors, the key driving factors were identified, and the quantitative model of desertification area change and key driving factors was established. The results showed that the key driving factors of grassland desertification are the per capita overloading rate and the desertification control area, and the change of desertification area is significantly linearly correlated with the key driving factors. Ferevery 1% increase of the average overloading rate, the desertification area increases by 2283 mu. For every 10,000 mu of desertification control area increased, the desertification area decreased by 4562 mu. Within 5 years of the desertification monitoring period, 45.62% of the desertification grassland treated was transformed into undesertification grassland, which further confirmed that the ecological restoration of desertification grassland is a long and slow process, and the effectiveness of desertification control is lagging. Under the driving effect of desertification management projects, the transformation order of desertification land is mobile sandy land, artificial semi-fixed sandy land, artificial fixed sandy land and then undesertification land. Driven by overgrazing, the exposed sandy land and undesertification land will transform into natural fixed sandy land and exposed sandy land, respectively. The implementation of grassland overload control and desertification control policies can continuously reduce the area and degree of grassland desertification, which is the key to consolidating and promoting the effectiveness of desertification control. The study revealed the quantitative relationship between the change of grassland desertification area, human activities and policy factors, and provided an important reference for the quantitative assessment and prediction of grassland desertification change trend and accurate prevention and control.
- Ruoergai county,
- grassland desertification,
- evolution characteristics,
- driving factors,
- quantitative research

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References(30)

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