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Marine and Freshwater Research Marine and Freshwater Research Society
Advances in the aquatic sciences
RESEARCH ARTICLE

Evaluation and analysis of water-regulation value of ecosystem in Qinghai area of Qilian Mountain National Park, China

Ying Zhang https://orcid.org/0000-0002-9964-9381 A * , Na Meng A , Yan Shi B and Xiaoge Li A
+ Author Affiliations
- Author Affiliations

A School of Economics & Management, Beijing Forestry University, Beijing, 100083, PR China.

B Institute of Management Cadres, State Forestry and Grassland Administration, Beijing, 102600, PR China.

* Correspondence to: zhangyin@bjfu.edu.cn

Handling Editor: Ritesh Kumar

Marine and Freshwater Research 75, MF22192 https://doi.org/10.1071/MF22192
Submitted: 5 November 2022  Accepted: 1 March 2024  Published: 12 April 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing

Abstract

Context

Water-regulation services significantly affect local social and economic development in the Qinghai area of Qilian Mountain National Park, China, and also affect the role of a ‘solid reservoir’ in China.

Aim

The value and change trend of water regulation was assessed through the evaluation and prediction of the water-regulation value of ecosystems.

Methods

InVEST water yield model and SVR model are used to evaluate and predict the water-regulation value of ecosystem in this study.

Key results

Grassland plays an important role in water regulation, although the area of forestland is not large, its water-regulation monetary value in 2020 accounted for 13.92% of the total evaluation value. From 2010 to 2020, the physical value of water regulation increased by 2.24% and the monetary value increased ~0.97% annually. In 2030, the amount of physical and monetary value of water regulation will be increased.

Conclusion

Grassland plays an important role in water regulation. It is necessary to strengthen the asset management of water regulation and optimise the ecological resources.

Implications

The study findings are utilised to enhance monitoring and establish ecological big-data platform, thereby elevating the quality of national park development management and decision-making services.

Keywords: ecosystem services, evaluation of water regulation, high-quality development, integrated monitoring and evaluation, InVEST water-yield model and support vector regression, Qinghai area of Qilian Mountains National Park, water resources management.

References

Bai Y, Ochuodho TO, Yang J (2019) Impact of land use and climate change on water-related ecosystem services in Kentucky, USA. Ecological Indicators 102, 51-64.
| Crossref | Google Scholar |

Beijing Digital Space Technology Co., Geographical Monitoring Cloud Platform (2022) Data Product. Available at http://www.dsac.cn/DataProduct/Search?&cateID=0&areaID=26 [Verified 9 April 2024]

Cai N, Li F-Y, Chen W-J, Chen W-J (2017) Smart growth modeling and prediction based on principle component analysis and support vector regression. Journal of Guangdong University of Technology 34(5), 29-33.
| Crossref | Google Scholar |

Chen DL, Yu XX, Liao BH (2005) Analysis of water-conserving function of forest ecosystems in China. World Forestry Research 18(1), 49-54.
| Google Scholar |

Cui YT (2022) The ecological environment quality of Qilian Mountain National Park continues to improve with the steady improvement of ecological service functions. In Xiaoxiang Morning Post, 2 July 2022. Available at https://baijiahao.baidu.com/s?id=1737212677293880561&wfr=spider&for=pc [Verified 9 April 2024]

Daily GC (1997) ‘Natures’ s services: societal dependence on natural ecosystems.’ (Island Press: Washington, DC, USA)

Gong SH, Xiao Y, Zheng H, Xiao X, Ouyang ZY (2017) Spatial characteristics of water regulation of Chinese ecosystems and their influencing factors. Journal of Ecology 37(7), 2455-2462.
| Google Scholar |

Hartanto H, Prabhu R, Widayat ASE, Asdak C (2003) Factors affecting runoff and soil erosion: plot-level soil loss monitoring for assessing sustainability of forest management. Forest Ecology and Management 180(1–3), 361-374.
| Crossref | Google Scholar |

Huang GL, Tang XP, Hou M, Cui XQ (2016) 主要生态系统生态资产 [Main ecosystem ecological assets]. In 青海省生态资产评估 [‘Ecological asset assessment in Qinghai Province’]. Chapter VI, pp. 202–205. (China Forestry Press: Beijing, PR China) [In Chinese]

Jiang H, Wu Q (2021) Study on the spatial and temporal evolution characteristics of ecosystem service value assessment in Jiangsu Province based on LUCC. Yangtze River Basin Resources and Environment 30(11), 2712-2725.
| Google Scholar |

Lan XY, Ye CC, Wang Y, Zeng T, Sun J (2021) Spatial and temporal evolution characteristics of water regulation function and its driving forces on the Qinghai–Tibet Plateau from 1995–2014. Journal of Grasslands 29(S1), 80-92.
| Google Scholar |

Li XX, Lu J (2006) A review of the main technical methods for economic evaluation of ecosystem service functions. Liaoning Forestry Science and Technology 2006(3), 33-36.
| Google Scholar |

Li LH, Lin P, Wang QB, He JH, He JY, Liu CD, Jin CS, Chen RH (1997) Study on hydrological effects of sweet chink forest in Wuyi Mountain. Journal of Plant Ecology 21(5), 393-402.
| Google Scholar |

Li WH, Liu XH, Ouyang ZY (2008) 生态系统服务功能价值评估的理论、方法与应用 [‘Theory, methods and applications of ecosystem service value assessment.’] (People’s University of China Press: Beijing, PR China) [In Chinese]

Lin L, Chen FJ, Xie JL, Li F (2022) Web opinion prediction based on improved grey wolf optimized support vector regression. Systems Engineering Theory and Practice 42(2), 487-498.
| Google Scholar |

Liu HM, Xu YL, Zhang B, Li R (2019) Water quality prediction based on least squares support vector regression. Computers and Modernization 2019(9), 31-34.
| Google Scholar |

Liu JY, Shao QQ, Yue Tian X, Fan JW, Ren J, Xu XL, Liu RG, Xing Q, Ge JS, Wang LY (2016) 中国西部及重点生态工程区生态系统综合监测评价技术与应用 [Integrated monitoring and assessment techniques and applications of ecosystems in western China and its key ecological engineering areas.] Institute of Geographical Sciences and Resources, Chinese Academy of Sciences, Beijing, PR China. [In Chinese]

Liu SR, Sun PS, Wen YG (2003) A comparative study of hydrological functions of major forest ecosystems in China. Journal of Plant Ecology 27(1), 16-22.
| Google Scholar |

Lu CM, Ma ZZ, Han Y, Guo XQ (2021) Analysis of house price data based on support vector regression. Journal of North China University of Technology 43(4), 76-82.
| Google Scholar |

Lu SW, Mao FL, Jin F, Yu XX, Rao LY (2005) Water-holding function of forest ecosystems in China. Soil and Water Conservation Research 12(4), 223-226.
| Google Scholar |

Millennium Ecosystem Assessment (2005) ‘Ecosystems and human well-being: current state and trends. Vol. l.’ (Island Press: Washington, DC, USA)

National Bureau of Statistics (2020) 1951–2020 price index of agricultural production materials in Qinghai. Available at https://data.gotohui.com/show-89402 [Verified 23 May 2020]

Núñez D, Nahuelhual L, Oyarzún C (2006) Forests and water: the value of native temperate forests in supplying water for human consumption. Ecological Economics 58(3), 606-616.
| Google Scholar |

Sun SJ, Zhou BR, Zhou HK, Wang XY, Quan C, Li F, Chen Q (2021) Evapotranspiration and water consumption characteristics of typical alpine deserts on the Qinghai–Tibet Plateau during the growing season. Journal of Grasslands 29(S1), 137-145.
| Google Scholar |

Tang WJ, Zhang ZP (2021) 青海省生态保护红线划定研究 [‘Study on the delineation of ecological protection red line in Qinghai Province.’] (China Environment Publishing Group: Beijing, PR China) [In Chinese]

Tang XP, Huang GL, Xu M, Dang XY, Gao JY (2016) 基本情况 [Basic information]. In 青海省生态系统服务价值评估研究 [‘Study on the evaluation of ecosystem services value in Qinghai Province.’] Chapter Three, pp. 198–199. (China Forestry Publishing House: Beijing, PR China) [In Chinese]

Wang BY, Liu YJ (2021) Research on stock price prediction based on fuzzy approximate support vector regression. Computer Technology and Development 31(3), 14-20.
| Google Scholar |

Wang J, Zhu D, Shan L, Gan ZW (2022) Research on urban air pollution concentration forecasting model based on support vector regression machine. Environmental Science and Management 47(2), 78-82 87.
| Google Scholar |

Xu HW, Xie Q, Yang M, Liu SY (2013) A review of the main service functions of ecosystems and evaluation methods. Sichuan Environment 32(S1), 18-23.
| Google Scholar |

Yin YH, Wu SH, Zhao DS, Dale F (2016) Impacts of climate change on the water regulation of the Yellow River source area over the past 30 years. Geographic Research 35(1), 49-57.
| Google Scholar |

Zhang Y (2011) 林业统计核算优化模型与绿色政策分析 [‘Forestry statistical accounting optimisation model and green policy analysis.’] (China Economic Press: Beijing, PR China) [In Chinese]

Zhang Y-M, Zhao S-D (2010) The millennium ecosystem assessment follow-up: a global strategy for turning knowledge into action. Journal of Natural Resources 25(3), 522-528.
| Crossref | Google Scholar |

Zhang L, Dawes WR, Walker GR (2001) Response of mean annual evapotranspiration to vegetation changes at catchment scale. Water Resources Research 37(3), 701-708.
| Crossref | Google Scholar |

Zhao RQ, Huang AM, Qin MZ, Yang H (2003) Research on farmland ecosystem service function and its evaluation method. Agricultural System Science and Integrated Research 19(4), 267-270.
| Google Scholar |