若尔盖高原生态系统碳储量变化及驱动因素分析

孟姝含, 刘子刚

中国环境科学 ›› 2026, Vol. 46 ›› Issue (2) : 1084-1098.

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中国环境科学 ›› 2026, Vol. 46 ›› Issue (2) : 1084-1098.
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若尔盖高原生态系统碳储量变化及驱动因素分析

  • 孟姝含, 刘子刚
作者信息 +

Analysis of carbon storage changes and driving factors in the ecosystem of the Zoige Plateau

  • MENG Shu-han, LIU Zi-gang
Author information +
文章历史 +

摘要

基于1980年、1990年、2000年、2010年和2020年的土地利用数据,利用PLUS模型模拟若尔盖高原2030年自然发展、生态恢复和经济发展3种情景下的土地利用变化,并通过InVEST模型估算1980~2030年生态系统碳储量,采用地理探测器模型分析碳储量空间分异的驱动因素.结果表明:若尔盖高原主要土地利用类型是草地、林地和湿地,1980~2020年,该区草地面积较少,湿地和林地面积增加.若尔盖高原1980~2020年生态系统碳储量在12.40~12.91亿t之间,草地和湿地是若尔盖高原的主要储碳生态系统类型,40a来碳储量增加的区域主要在若尔盖县、玛曲县和红原县的湿地集中区.2030年生态恢复情景下碳储量与2020年相比碳储量增加414.43万t,自然发展情景下碳储量减少445.67万t,经济发展情景下碳储量减少1159.58万t.若尔盖高原生态系统碳储量的空间分异主要受自然因素作用,其中,高程、年平均气温、土壤类型和坡度均为重要驱动因素,交互作用探测表明土壤类型与坡度的交互作用影响最大.

Abstract

Based on land use data from 1980, 1990, 2000, 2010, and 2020, the PLUS model was used to simulate land use changes in the Zoige Plateau by 2030 under three scenarios: natural development, ecological restoration, and economic development. The InVEST model was further employed to estimate the ecosystem carbon storage from 1980 to 2030. Finally, the Geographic Detector model was used to analyze the driving factors of spatial differentiation of carbon storage. The results showed that: (1) The major land use types in the Zoige Plateau were grassland, woodland, and wetland. From 1980 to 2020, the area of grassland in the region decreased, while the area of wetland and woodland increased. (2) The carbon storage of the Zoige Plateau ecosystem ranged from 1.240 billion tons to 1.291 billion tons from 1980 to 2020. Grassland and wetland were the main carbon storage ecosystem types in the Zoige Plateau. The areas with increased carbon storage over the last 40 years were mainly concentrated in the wetland areas of Zoige County, Maqu County, and Hongyuan County. (3) Carbon storage in 2030increased by 4.1443 million tons compared to 2020 under the ecological restoration scenario, decreased by 4.4567 million tons under natural development scenario, and decreased by 11.5958 million tons under economic development scenario. (4) The spatial differentiation of carbon storage in the Zoige Plateau ecosystem was primarily influenced by natural factors, of which elevation, annual mean temperature, soil type, and slope were all important drivers. Interaction detection indicates that the interaction between soil type and slope had the greatest impact.

关键词

若尔盖高原 / 碳储量 / PLUS模型 / InVEST模型 / 驱动因素

Key words

Zoige Plateau / carbon storage / PLUS model / InVEST model / driving factors

引用本文

导出引用
孟姝含, 刘子刚. 若尔盖高原生态系统碳储量变化及驱动因素分析[J]. 中国环境科学. 2026, 46(2): 1084-1098
MENG Shu-han, LIU Zi-gang. Analysis of carbon storage changes and driving factors in the ecosystem of the Zoige Plateau[J]. China Environmental Science. 2026, 46(2): 1084-1098
中图分类号: X171.1   

参考文献

[1] 周文昌,崔丽娟,王义飞,等.若尔盖高原沼泽湿地CO2排放时空变化特征[J].生态学报, 2021,41(7):2652-2662. Zhou W C, Cui L J, Wang Y F, et al. Temporal and spatial variability of ecosystems CO2 emissions in the Zoigê Plateau marsh [J]. Acta Ecologica Sinica, 2021,41(7):2652-2662.
[2] 刘康,张寒,张道军,等.黄土高原生态系统碳储量情景模拟与驱动因素——基于PLUS-InVEST-Geodector模型的研究[J].中国环境科学, 2025,45(4):2159-2170. Liu K, Zhang H, Zhang D J, et al. Scenario simulation and driving factors of ecosystem carbon storage in the Loess Plateau: A study based on the PLUS-InVEST-Geodector model [J]. China Environmental Science, 2025,45(4):2159-2170.
[3] Shen G, Yang X, Jin Y, et al. Land use changes in the Zoige Plateau based on the object-oriented method and their effects on landscape patterns [J]. Remote Sensing, 2019,12(1):14.
[4] 朱文博,张静静,崔耀平,等.基于土地利用变化情景的生态系统碳储量评估——以太行山淇河流域为例[J].地理学报, 2019,74(3):446-459. Zhu W B, Zhang J J, Cui Y P, et al. Assessment of territorial ecosystem carbon storage based on land use change scenario: A case study in Qihe River Basin [J]. Acta Geographica Sinica, 2019,74(3):446-459.
[5] Luo Y Y, Zhang L T, Zhang H. New method for construction land prediction incorporating Genetic Algorithm and Support Vector Machines [J]. Advanced Materials Research, 2011,383-390:1629-1634.
[6] 郭斌,张莉,文雯,等.基于CA-Markov模型的黄土高原南部地区土地利用动态模拟[J].干旱区资源与环境, 2014,28(12):14-18. Guo B, Zhang L, Wen W, et al. Simulation of landscape pattern dynamic in the south region of Loess Plateau based on CA-Markov model [J]. Journal of Arid Land Resources and Environment, 2014, 28(12):14-18.
[7] 徐嘉兴,李钢,陈国良.基于logistic回归模型的矿区土地利用演变驱动力分析[J].农业工程学报, 2012,28(20):247-255. Xu J X, Li G, Chen G L. Driving force analysis of land use change based on Logistic regression model in mining area [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2012,28(20):247-255.
[8] 胡烨婷,李天宏.基于SD-CA模型的快速城市化地区土地利用空间格局变化预测[J].北京大学学报(自然科学版), 2022,58(2):372-382. Hu Y T, Li T H. Forecasting spatial pattern of land use change in rapidly urbanized regions based on SD-CA model [J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2022,58(2):372-382.
[9] 凯吾沙·塔依尔,黎华,古丽米热·艾尔肯,等.FLUS与灰色预测模型支持下的乌鲁木齐地区碳排放时空演变与预测[J].水土保持学报, 2023,37(4):214-226. Tayier K, Li H, Aierken G, et al. Spatio-temporal evolution and prediction of carbon emissions in Urumqi region based on FLUS and Grey Prediction model [J]. Journal of Soil and Water Conservation, 2023,37(4):214-226.
[10] 井长青,张永福,杨晓东.耦合神经网络与元胞自动机的城市土地利用动态演化模型[J].干旱区研究, 2010,27(6):854-860. Jing C Q, Zhang Y F, Yang X D. Approach of dynamic evolution model of urban land use based on the integration of ANN and CA [J]. Arid Zone Research, 2010,27(6):854-860.
[11] 孙玮健,张荣群,艾东,等.基于元胞自动机模型的土地利用情景模拟与驱动力分析[J].农业机械学报, 2017,48(S1):254-261. Sun W J, Zhang R Q, Ai D, et al. Driving force analysis and scenarios simulation of land use based on Cell Automata model [J]. Transactions of the Chinese Society of Agricultural Machinery, 2017,48(S1):254-261.
[12] 顾汉龙,马天骏,钱凤魁,等.基于CLUE-S模型县域土地利用情景模拟与碳排放效应分析[J].农业工程学报, 2022,38(9):288-296. Gu H L, Ma T J, Qian F K, et al. County land use scenario simulation and carbon emission effect analysis using CLUE-S model [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022,38(9):288-296.
[13] Hou X Y, Song B Y, Zhang X Y, et al. Multi-scenario simulation and spatial-temporal analysis of LUCC in China's coastal zone based on coupled SD-FLUS model [J]. Chinese Geographical Science. 2024,34(4):579-598.
[14] 邵壮,陈然,赵晶,等.基于FLUS与InVEST模型的北京市生态系统碳储量时空演变与预测[J].生态学报, 2022,42(23):9456-9469. Shao Z, Chen R, Zhao J, et al. Spatio-temporal evolution and prediction of carbon storage in Beiing's ecosystem based on FLUS and InVEST models [J]. Acta Ecologica Sinica, 2022,42(23):9456-9469.
[15] 孙冰清.黄河流域陆地生态系统碳储量变化机制及预测研究[D].北京:中国环境科学研究院, 2023. Sun B Q. Change mechanism and prediction of terrestrial ecosystems carbon storage in the Yellow River Basin [D]. Beijing: Chinese Research Academy of Environmental Sciences, 2023.
[16] 伍丹,朱康文,张晟,等.基于PLUS模型和InVEST模型的成渝经济区碳储量演化分析[J].三峡生态环境监测, 2022,7(2):85-96. Wu D, Zhu K W, Zhang S, et al. Evolution analysis of carbon stock in Chengdu-Chongqing economic zone based on PLUS model and InVEST model [J]. Ecology and Environmental Monitoring of Three Gorges, 2022,7(2):85-96.
[17] Liang X, Guan Q, Clarke K C, et al. Understanding the drivers of sustainable land expansion using a patch-generating land use simulation (PLUS) model: A case study in Wuhan, China [J]. Computers Environment and Urban Systems, 2021,85,101569.
[18] 林彤,杨木壮,吴大放,等.基于InVEST-PLUS模型的碳储量空间关联性及预测——以广东省为例[J].中国环境科学, 2022,42(10): 4827-4839. Lin T, Yang M Z, Wu D F, et al. Spatial correlation and prediction of land use carbon storage based on the InVEST-PLUS model- A case study in Guangdong [J]. China Environmental Science, 2022,42(10): 4827-4839.
[19] 武爱彬,陈辅国,赵艳霞,等.京津冀城市群建设用地扩张多情景模拟及其对生态系统碳储量的影响[J].环境科学, 2024,45(5):2828-2839. Wu A B, Chen F G, Zhao Y X, et al. Multi-scenario simulation of construction land expansion and its impact on ecosystem carbon storage in Beijing-Tianjin-Hebei urban agglomeration [J]. Environmental Science, 2024,45(5):2828-2839.
[20] 王怀毅,李忠魁.基于LUCC的渭河流域生态系统碳储量动态变化及脆弱性分析[J].水土保持研究, 2024,31(6):252-260,270. Wang H Y, Li Z K. Dynamic changes and vulnerability analysis of carbon storage in the Weihe river basin ecosystem based on LUCC [J]. Research of Soil and Water Conservation, 2024,31(6):252-260,270.
[21] 赵苗苗,赵娜,刘羽,等.森林碳计量方法研究进展[J].生态学报, 2019,39(11):3797-3807. Zhao M M, Zhao N, Liu Y, et al. An overview of forest carbon measurement methods [J]. Acta Ecologica Sinica, 2019,39(11):3797-3807.
[22] Grabska E, Hostert P, Pflugmacher D, et al. Forest stand species mapping using the Sentinel-2time series [J]. Remote Sensing, 2019, 11(10).
[23] 吴皓晴,刘子刚.吉林省生态系统碳储量影响因素分析[J].中国环境科学, 2024,44(3):1706-1717. Wu H Q, Liu Z G. Influencing factors of ecosystem carbon storage in Jilin Province [J]. China Environmental Scicence, 2024,44(3):1706-1717.
[24] 杨元合,石岳,孙文娟,等.中国及全球陆地生态系统碳源汇特征及其对碳中和的贡献[J].中国科学:生命科学, 2022,52(4):534-574. Yang Y, Shi Y, Sun W, et al. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality [J]. Scientia Sinica (Vitae), 2022,52(4):534-574.
[25] Bagstad K J, Semmens D J, Waage S, et al. A comparative assessment of decision-support tools for ecosystem services quantification and valuation [J]. Ecosystem Services, 2013.
[26] 高述超,陈毅青,陈宗铸,等.海南岛森林生态系统碳储量及其空间分布特征[J].生态学报, 2023,43(9):3558-3570. Gao S C, Chen Y Q, Chen Z Z, et al. Carbon storage and its spatial distribution characteristics of forest ecosystems in Hainan Island, China [J]. Acta Ecologica Sinica, 2023,43(9):3558-3570.
[27] 何青松,蒋旭.耕地占补面积时空变化对碳储量的影响测度——以湖北省为例[J].生态学报, 2023,43(24):10413-10429. He Q S, Jiang X. Measuring impacts of temporal and spatial changes of cultivated land on carbon storage: A case study of Hubei Province [J]. Acta Ecologica Sinica, 2023,43(24):10413-10429.
[28] 朱明凤,赵克飞,邵铮,等.基于InVEST模型的粤港澳大湾区湿地碳储量时空变化分析[J].环境科学, 2025,46(4):1964-1973. Zhu M F, Zhao K F, Shao Z, et al. Spatio-temporal analysis of carbon sequestration of wetlands in Guangdong-Hong Kong-Macao Greater Bay area based on the InVEST model [J]. Environmental Science, 2025,46(4):1964-1973.
[29] 辛培源,田甜,张美露,等.基于InVEST模型和地理探测器的吉林省生境质量变化及驱动因素评估[J].应用生态学报, 2024,35(10): 2853-2860. Xin P Y, Tian T, Zhang M L, et al. Assessment of habitat quality changes and driving factors in Jilin Province based on InVEST model and geodetector [J]. Chinese Journal of Applied Ecology, 2024,35(10): 2853-2860.
[30] 张舟,刘晶晶,张权,等.基于PLUS-InVEST-Geodector模型的苏州市碳储量时空变化及驱动力分析[J].环境科学, 2025,46(5): 2963-2975. Zhang Z, Liu J J, Zhang Q, et al. Analysis of spatial-temporal variation and driving forces of carbon storage in Suzhou City based on the PLUS-InVEST-Geodector Model [J]. Environmental Science, 2025,46(5):2963-2975.
[31] 陈俊辰,贺淑钰,薛晶,等.多尺度生态系统服务的权衡关系及其对景观配置的响应——以湖北省为例[J].生态学报, 2023:43(12): 4835-46. Chen J C, He S Y, Xue J, et al. Exploring ecosystem service trade-offs and their response to landscape configuration at multi-scales: a case study of Hubei Province [J]. Acta Ecologica Sinica, 2023,43(12):4835-4846.
[32] 衣鹏慧,吴会峰,胡保安,等.黄土高原地区退耕还林后土壤有机碳储量变化特征及影响因素[J].生态学报, 2023,43(24):10054-64. Yi P H, Wu H F, Hu B A, et al. Variation characteristics and influencing factors of soil organic carbon storage after returning farmland to forest on the Loess Plateau [J]. Acta Ecologica Sinica, 2023,43(24):10054-10064.
[33] 张爽,高启晨,张戎,等.基于PLUS-InVEST模型碳储量时空演变及驱动因素分析——以纳帕海流域为例[J].中国环境科学, 2024,44(9):5192-5201. Zhang S, Gao Q C, Zhang R, et al. Evaluating the changes and driving factors of carbon storage using the PLUS-InVEST Model: A case study of Napa Sea Basin [J]. China Environmental Science, 2024,44(9):5192-5201.
[34] 周文昌,崔丽娟,王义飞,等.若尔盖高原退化湿地土壤有机碳储量[J].水土保持研究, 2017,24(5):27-32. Zhou W C, Cui L J, Wang Y F, et al. Soil organic carbon storage in the degraded wetlands in Zoige Plateau [J]. Research of Soil and Water Conservation, 2017,24(5):27-32.
[35] 刘利娟,刘欣蔚,鞠佩君,等.15000年以来若尔盖高原泥炭地发育及其碳动态[J].生态学报, 2018,38(18):6493-501. Liu L J, Liu X W, Ju P J, et al. Peatland development and carbon dynamics histories of Zoige peatlands for 15000 years [J]. Acta Ecologica Sinica, 2018,38(18):6493-6501.
[36] 周文昌,索郎夺尔基,崔丽娟,等.排水对若尔盖高原泥炭地土壤有机碳储量的影响[J].生态学报, 2016,36(8):2123-2132. Zhou W C, Sudlang D E J, Cui L J, et al. Effects of drainage on soil organic carbon stock in the Zoige peatlands, eastern Qinghai-Tibetan Plateau [J]. Acta Ecologica Sinica, 2016,36(8):2123-2132.
[37] 周文昌.人类活动对若尔盖高原泥炭地碳通量和碳储量的影响[D].北京:中国林业科学研究院, 2015. Zhou W C. Effects of human activities on carbon fluxes and storage in the Zoige peatland of the Qinghai-Tibet Plateau [D]. Beijing: Chinese Academy of Forestry, 2015.
[38] 夏敏,王行,刘振亚,等.四川若尔盖高原3种湿地生态系统的碳储量及碳汇价值[J].福建农林大学学报(自然科学版), 2020, 49(3):392-398. Xia M, Wang X, Liu Z Y, et al. Carbon stock and its value for 3types of wetland ecosystems on Zoige Plateau, Sichuan Province [J]. Journal of Fujian Agriculture and Forestry University (Natural Science Edition), 2020,49(3):392-398.
[39] 周文昌,崔丽娟,王义飞,等.若尔盖高原泥炭地生态系统碳储量[J].生态学杂志, 2016,35(8):1981-1987. Zhou W C, Cui L J, Wang Y F, et al. Carbon storage of the peatland ecosystems in Zoige Plateau, China [J]. Chinese Journal of Ecology, 2016,35(8):1981-1987.
[40] 王长科,王跃思,张安定,等.若尔盖高原湿地资源及其保护对策[J].水土保持通报, 2001,20(5):20-22. Wang Z K, Wang Y S, Zhang A D, et al. Wetland resources and its protection in Zoige Plateau [J]. Bulletin of Soil and Water Conservation, 2001,20(5):20-22.
[41] 郭洁,李国平.若尔盖气候变化及其对湿地退化的影响[J].高原气象, 2007,26(2):422-428. Guo J, Li G P. Climate change in Zoige Plateau marsh wetland and its impact on wetland degradation [J]. Plateau Meteorology, 2007,26(2): 422-428.
[42] 白军红,欧阳华,崔保山,等.近40年来若尔盖高原高寒湿地景观格局变化[J].生态学报, 2008,28(5):2245-2252. Bai J H, Ou Y H, Cui B S, et al. Changes in landscape pattern of alpine wetlands on the Zoige Plateau in the past four decades [J]. Acta Ecologica Sinica, 2008,28(5):2245-2252.
[43] 周文强,韩宇,王金龙,等.洞庭湖流域碳储量的时空异质性及驱动力分析[J].中国环境科学, 2024,44(4):1851-1862. Zhou W Q, Han Y, Wang J L, et al. Spatiotemporal heterogeneity and driving forces of carbon storage in the Dongting Lake Basin [J]. China Environmental Science, 2024,44(4):1851-1862.
[44] 许澳康,胡梦珺,石晶,等.石羊河流域生态系统碳储量时空变化及多情景模拟[J].中国环境科学, 2024,44(6):3365-3375. Xu A K, Hu M J, Shi J, et al. Spatial and temporal variability of ecosystem carbon storages and multi-scenario simulation in the Shiyang River basin [J]. China Environmental Science, 2024,44(6): 3365-3375.
[45] Raich J W, Nadelhoffer K J. Belowground carbon allocation in forest ecosystems: global trends [J]. Ecology, 1989,70.
[46] Alam S, Starr M, Clark B. Tree biomass and soil organic carbon densities across the Sudanese woodland savannah: a regional carbon sequestration study [J]. Journal of Arid Environments, 2013,89:67-76.
[47] Giardina C P, Ryan M G. Evidence that decomposition rates of organic carbon in mineral soil do not vary with temperature [J]. Nature, 2000,404(6780):858-861.
[48] 陈光水,杨玉盛,刘乐中,等.森林地下碳分配(TBCA)研究进展[J].亚热带资源与环境学报, 2007,2(1):34-42. Chen G, Yang Y, Liu L, et al. Research review on total belowground carbon allocation in forest ecosystems [J]. Journal of Subtropical Resources and Environment, 2007,2(1):34-42.
[49] 李若玮,叶冲冲,王毅,等.基于InVEST模型的青藏高原碳储量估算及其驱动力分析[J].草地学报, 2021,29(S1):43-51. Li R W, Ye C C, Wang Y, et al. Carbon storage estimation and its driving force analysis based on InVEST model in the Tibetan Plateau [J]. Acta Agrestia Sinica, 2021,29(S1):43-51.
[50] 孙梅玲.若尔盖高原生态系统服务时空特征及其权衡与协同关系[D].四川:西南民族大学, 2023. Sun M L. Spatial-temporal characteristics of ecosystem services and its trade-off and synergy relationships on the Zoige Plateau [D]. Sichuan: Southwest Minzu University, 2023.
[51] 徐丽,何念鹏,于贵瑞.2010s中国陆地生态系统碳密度数据集[J].中国科学数据(中英文网络版), 2019,4(1):90-96. Xu L, He N, Yu G. A dataset of carbon density in Chinese terrestrial ecosystems(2010s) [J]. China Scientific Data, 2019,4(1):90-96.
[52] 赵双红,周冬梅,王得梅,等.基于PLUS-InVEST模型的渭河流域生态系统碳储量评估及多情景预测[J].应用生态学报, 2024,35(8): 2044-2054. Zhao S H, Zhou D M, Wang D M, et al. Ecosystem carbon storage assessment and multi-scenario prediction in the Weihe River Basin based on PLUS-InVEST model [J]. Chinese Journal of Applied Ecology, 2024,35(8):2044-2054.
[53] 胡佶熹,勒先文,王卫林,等.基于PLUS-InVEST模型的江西省生态系统碳储量时空演变与预测[J].环境科学, 2024,45(6):3284-3296. Hu J X, Le X W, Wang W L, et al. Temporal and spatial evolution and prediction of ecosystem carbon storage in Jiangxi Province based on PLUS-InVEST model [J]. Environmental Science, 2024,45(6):3284-3296.
[54] Lin W, Sun Y, Nijhuis S, et al. Scenario-based flood risk assessment for urbanizing deltas using future land-use simulation (FLUS): Guangzhou Metropolitan Area as a case study [J]. Science of The Total Environment, 2020,739:139899.
[55] 王劲峰,徐成东.地理探测器:原理与展望[J].地理学报, 2017, 72(1):116-134. Wang J F, Xu C D. Geodetector: principle and prospective [J]. Acta Geographica Sinica, 2017,72(1):116-134.
[56] 杨丽萍,张静,贡恩军,等.GEE联合多源数据的西安市土地利用时空格局及驱动力分析[J].农业工程学报, 2022,38(2):279-288. Yang L P, Zhang J, Gong E J, et al. Analysis of spatio-temporal land- use patterns and the driving forces in Xi'an City using GEE and multi- source data [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2022,38(2):279-288.
[57] 陈雪玲,孙梅玲,吕一河,等.青藏东缘若尔盖高原土地利用时空变化特征及其驱动因素分析[J].生态与农村环境学报, 2023,39(3):306-315. Chen X L, Sun M L, Lu Y H, et al. Spatial-temporal variability characteristics and its driving factors of land use in Zoige Plateau on the eastern edge of Qinghai-Tibetan Plateau, China [J]. Journal of Ecology and Rural Environment, 2023,39(3):306-315.
[58] 刘坤,高凡,吴彬,等.2000~2020年昌吉州东部平原区地下水位埋深对土地利用及干旱时空演变的动态响应[J].水土保持学报, 2022,36(5):150-159. Liu K, Gao F, Wu B, et al. Dynamic response of groundwater depth to land use and temporal spatial evolution of drought in the eastern plains of Changji Prefecture from 2000 to 2020[J]. Journal of Soil and Water Conservation, 2022,36(5):150-159.
[59] 唐文睿,曹玉红.基于InVEST-PLUS模型的皖江流域碳储量时空演变及预测[J].环境科学, 2025,46(6):3818-3829. Tang W R, Cao Y H. Spatial-temporal evolution and prediction of carbon reserves in Wanjiang River Basin with the InVEST-PLUS model [J]. Environmental Science, 2025,46(6):3818-3829.
[60] Liu X, Chen H, Zhu Q, et al. Holocene peatland development and carbon stock of Zoige peatlands, Tibetan Plateau: a modeling approach [J]. Journal of Soils and Sediments, 2018,18(5):2032-2043.
[61] Wang M, Chen H, Wu N, et al. Carbon dynamics of peatlands in China during the Holocene [J]. Quaternary Science Reviews, 2014,99(9):34-41.
[62] Strack M, Davidson SJ, Hirano T, et al. The potential of peatlands as nature-based climate solutions [J]. Current Climate Change Reports, 2022,8(3):71-82.
[63] 尹善春.中国泥炭资源及其开发利用[M].北京:地质出版社, 1991,185. Yin S C. Peat resources and their development and utilization in China [M]. Beijing: Geology Press, 1991,185.
[64] 张梅,杨雨霏,黄贤金,等.新常态下中国城镇建设用地扩张演变的碳效应及其驱动因素研究[J].长江流域资源与环境, 2023,32(10):2212-2224. Zhang M, Yang Y F, Huang X J, et al. Carbon effects and driving factors of urban construction land expansion in China under the new normal [J]. Resources and Environment in the Yangtze Basin, 2023, 32(10):2212-2224.
[65] 曾庆雨,孙才志.黄河流域陆地生态系统碳储量测算及其影响因素[J].生态学报, 2024,44(13):5476-5493. Zeng Q Y, Sun C Z. Estimation and influencing factors of carbon storage in terrestrial ecosystems in the Yellow River Basin [J]. Acta Ecologica Sinica, 2024,44(13):5476-5493.
[66] Xiang M S, Wang C J, Tan Y X, et al. Spatio-temporal evolution and driving factors of carbon storage in the Western Sichuan Plateau [J]. Scientific Reports, 2022,12(1):8114.
[67] 高俊琴,欧阳华,张锋,等.若尔盖高寒湿地表层土壤有机碳空间分布特征[J].生态环境, 2007,16(6):1723-1727. Gao J Q, Ouyang H, Zhang F, et al. Characteristics of spatial distribution of soil organic carbon in Zoige wetland [J]. Ecology and Environment, 2007,16(6):1723-1727.
[68] 陈涛,武会会,耿润哲.放牧对中国天然草地土壤有机碳含量影响的Meta分析[J].草地学报, 2024,32(12):3924-3931. Chen T, Wu H H, Geng R Z. Meta-analysis of the effects of grazing on soil organic carbon content in natural grasslands of China [J]. Acta Agrestia Sinica, 2024,32(12):3924-3931.
[69] 白军红,欧阳华,王庆改,等.大规模排水前后若尔盖高原湿地景观格局特征变化[J].农业工程学报, 2009,25(S1):64-68. Bai J H, Ouyang H, Wang Q G, et al. Changes in landscape patterns of alpine wetlands on Roige plateau before and after drainage [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2009,25(S1): 64-68.

基金

国家自然科学基金资助项目(41371504);云南省院士专家工作站项目(2019IC012)

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