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应用生态学报 ›› 2026, Vol. 37 ›› Issue (4): 1165-1174.doi: 10.13287/j.1001-9332.202603.026

• 研究论文 • 上一篇    下一篇

基于PLUS-InVEST模型预测2033年陕北多沙粗沙区碳储量及经济价值

安文举1, 李旭1, 郭强2, 刘立峰2, 李王成1,3,4*, 马波1, 刘昶2, 郝姗姗2   

  1. 1宁夏大学土木与水利工程学院, 银川 750021;
    2黄河水利委员会黄河水土保持绥德治理监督局, 陕西榆林 719000;
    3旱区现代农业水资源高效利用教育部工程研究中心, 银川 750021;
    4宁夏黄河水联网数字治水重点实验室, 银川 750021
  • 收稿日期:2025-10-14 修回日期:2026-01-18 出版日期:2026-04-18 发布日期:2026-05-29
  • 通讯作者: *E-mail: liwangcheng@nxu.edu.cn
  • 作者简介:安文举, 男, 1997年生, 博士研究生。主要从事区域环境评价研究。E-mail: Tenmoon25@163.com
  • 基金资助:
    宁夏回族自治区青年拔尖人才培养项目(032503060192)、国家自然科学基金项目(52169010)和黄河上中游管理局局列科研项目(HYK-202504)

Prediction of carbon storage and economic value in the more-sediment and coarse-sediment region of northern Shaanxi in 2033 based on PLUS-InVEST models.

AN Wenju1, LI Xu1, GUO Qiang2, LIU Lifeng2, LI Wangcheng1,3,4*, MA Bo1, LIU Chang2, HAO Shanshan2   

  1. 1School of Civil and Hydraulic Engineering, Ningxia University, Yinchuan 750021, China;
    2Suide Administration and Supervision Bureau of Soil and Water Conservation of the Yellow River, Yellow River Conservancy Commission of the Ministry of Water Resources, Yulin 719000, Shaanxi, China;
    3Engineering Research Center for Efficient Utilization of Modern Agricultural Water Resources in Arid Regions, Ministry of Education, Yinchuan 750021, China;
    4Key Laboratory of the Internet of Water and Digital Water Governance of the Yellow River, Yinchuan 750021, China
  • Received:2025-10-14 Revised:2026-01-18 Online:2026-04-18 Published:2026-05-29

摘要: 陕北多沙粗沙区是黄河泥沙的主要来源地和生态脆弱区,精准评估其碳储量动态及经济价值,对于巩固和提升区域生态系统固碳能力、服务黄河流域生态保护和高质量发展具有重要意义。本研究基于2003、2013、2023年的土地利用数据,并选取降雨、高程、人口等12项驱动因素数据,采用PLUS模型模拟2033年3种情景(自然发展、水土保持、耕地保护)下的土地利用,通过InVEST模型计算碳储量时空分布,采用复利现值和复利终值法并引入碳交易单价对GDP的弹性指数估算该区域碳储量的经济价值。结果表明:2003—2023年,研究区土地利用以草地、耕地和林地为主,耕地与草地之间的相互转移以及草地向林地的转移是该区域土地利用的主要变化形式;碳密度高值区域呈增加趋势,碳密度低值区域则逐渐减少。2003—2023年间,研究区总碳储量及其经济价值呈持续增长趋势,2023年估值达到357.62×108元。2033年,水土保持情景下林草地类扩张使高碳密度区域扩大,低碳密度区域缩减,总碳储量达到最高,为52.78×108 t,经济价值为627.42×108元。研究成果可为陕北多沙粗沙区土地利用资源合理配置和生态治理提供科学参考。

关键词: 土地利用, PLUS模型, InVEST模型, 碳储量, 经济价值

Abstract: The sandy and coarse sand area in northern Shaanxi is the main source of Yellow River sediment and an ecologically fragile zone. Accurately assessing its carbon storage dynamic and economic value is of great significance for consolidating and enhancing carbon sequestration capacity of regional ecosystems, serving ecological protection and high-quality development of the Yellow River Basin. Based on land use data from 2003, 2013, and 2023, and as well as 12 driving factors such as rainfall, elevation, and population, we simulated the land use under three scenarios (natural development, soil and water conservation, and farmland protection) in 2033 by using the PLUS model. The InVEST model was used to calculate the spatiotemporal distribution of carbon storage. The present value and terminal value of compound interest methods were used, and the elasticity index of carbon trading unit price to GDP was introduced to estimate the economic value of carbon storage. The results showed that land use types in the study area from 2003 to 2023 were mainly grassland, cultivated land, and forest land. The transfer between cultiva-ted land and grassland, as well as the transfer from grassland to forest land, were the main forms of land use change. The areas with high carbon density showed an increasing trend, while the areas with low carbon density gradually decreased. From 2003 to 2023, the total carbon storage and its economic value showed a continuous growth trend, with an estimated value of 357.62×108 yuan in 2023. In 2033, under the scenario of soil and water conservation, the expansion of forests and grasslands would lead to the increment of high carbon density areas and the reduction of low-carbon density areas, resulting in the highest total carbon storage of 52.78×108 tons and an economic value of 627.42×108 yuan. Our results could provide scientific references for the rational allocation of land use resources and ecological governance in the sandy and coarse sand areas of northern Shaanxi.

Key words: land use, PLUS model, InVEST model, carbon storage, economic value