黄河上游碳储存动态归因及阈值分析
作者单位:

1.山西师范大学;2.111

中图分类号:

P9


Attribution and threshold analysis of carbon storage dynamic of ecological-geographical differentiation in the upper Yellow River
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    摘要:

    [目的]黄河上游横跨青藏高原和黄土高原,为研究生态地理分异下的碳储动态变化机制提供了良好平台,研究碳储动态变化及其驱动机制研究对区域可持续发展和未来管理具有重要意义。[方法]本文以青藏高原的洮河流域和黄土高原的祖厉河流域为研究区,探究了气候、植被和水沙对净初级生产力(NPP)的直接和间接效应,采用弹性系数、密度分析等方法量化了不同因素对NPP的影响阈值。[结果]洮河和祖厉河流域NPP均值分别为276.47 gC/m2和136.86 gC/m2,空间分布差异显著。洮河NPP受水分参量影响较大,其次为归一化植被指数(NDVI),气温(T)和土壤侵蚀(A)均呈现负效应且相对较小;祖厉河流域NPP受NDVI和水源涵养量(WR)影响最大,T和A对NPP同样为负效应,但绝对值大于洮河流域。空间上,两个流域T和NDVI交互后对NPP分布的解释力最强。不同方法的阈值量化结果有所差异,总体上洮河流域T和A对NPP的影响阈值更先达到,祖厉河P、NDVI和WR对NPP的影响阈值率先到达。[结论]不同生态-地理分异下的碳储动态变化驱动及阈值差异显著,在达到“可持续”的阈值之前,并不需要过多的人为干预,主要通过气候方面的监测即可;但在达到“限制性”阈值时,有目的的合理分配水资源、控制土壤侵蚀减缓河道输沙需要给予更多关注。

    Abstract:

    [Objective] The upper reaches of the Yellow River straddle the Qinghai-Tibetan Plateau and the Loess Plateau, providing a good platform for studying the mechanism of carbon storage dynamics under ecological-geographical differentiation. [Methods] The study of carbon stock dynamics and its driving mechanism is of great significance for regional sustainable development and future management. Taking the Taohe River Basin on the Qinghai-Tibetan Plateau and the Zuli River Basin on the Loess Plateau as study areas, the study explored the direct and indirect effects of climate, vegetation and water-sand on net primary productivity (NPP), and used elasticity coefficients and density analyses to quantify the thresholds of the effects of different factors on NPP. [Results] The mean values of NPP in the Tao River and Zuli River basins were 276.47 gC/m2 and 136.86 gC/m2, respectively, with significant differences in spatial distribution. The NPP of the Tao River Basin was greatly influenced by the moisture parameter, followed by the normalized vegetation index (NDVI), and the temperature (T) and soil erosion (A) showed negative effects and were relatively small. The NPP of the Zuili River Basin was most influenced by the NDVI and water retention (WR), and the T and A had the same negative effects on the NPP, but with a larger absolute value than that of the Tao River Basin. Spatially, the strongest explanatory power for the NPP distribution was found after the interaction of T and NDVI in both watersheds. Threshold quantification results varied among methods, with the thresholds for the effects of T and A on NPP being reached earlier in the Tao River Basin, and the thresholds for the effects of P, NDVI, and WR on NPP being reached first in the Zuili River Basin. [Conclusion] The driving force and threshold differences of carbon storage dynamics under different ecological and geographical differentiation are significant. Before reaching the "sustainable" threshold, there is no need for excessive human intervention, mainly through climate monitoring; However, when reaching the "restrictive" threshold, more attention needs to be paid to the purposeful and rational allocation of water resources, control of soil erosion, and mitigation of river sediment transport.

    参考文献
    [1] 李小平,田勇,张翠萍,等.黄河下游高效输沙指标及输沙水量研究[J].泥沙研究,2024,49(04):34-41.
    [2] 张楚汉,王光谦.关于黄河流域生态保护和高质量发展的思考[J].人民黄河,2024,46(09):1-7.
    [3] 张晨凤,贺丽,董廷发,等.基于Biome-BGC模型的若尔盖不同沙地类型土壤水分植被承载力对气候变化的响应[J].生态学杂志,2024,43(06):1833-1840.
    [4] 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):10054-10064.
    [5] Li W, Zhou J, Xu Z, et al. Climate impact greater on vegetation NPP but human enhance benefits after the Grain for Green Program in Loess Plateau[J]. Ecological Indicators, 2023, 157: 111201.
    [6] Zarei A, Chemura A, Gleixner S, et al. Evaluating the grassland NPP dynamics in response to climate change in Tanzania[J]. Ecological Indicators, 2021, 125: 107600.
    [7] Jia L, Yu K, Li Z, et al. Spatiotemporal pattern of NPP and its response to climatic factors in the Yangtze River Economic Belt[J]. Ecological Indicators, 2024, 162: 112017.
    [8] 王钰,张翔,闫少锋,等.基于水-经济社会-生态环境协同演变的生态流量阈值适宜性研究[J].水资源与水工程学报,2024,35(04):47-55+65.
    [9] Hao R, Yu D, Huang T, et al. NPP plays a constraining role on water-related ecosystem services in an alpine ecosystem of Qinghai, China[J]. Ecological Indicators, 2022, 138: 108846.
    [10] 李雪,于坤霞,徐国策,等.黄河上中游流域植被净初级生产力空间特征及驱动因素分析[J/OL]. 环境科学, 1-17
    [11] 武兰珍,赵霞,成艺,等.黄河流域甘肃段水资源承载力与水资源安全评价[J].排灌机械工程学报, 2021, 39(09): 897-903.
    [12] 黄强,陈田田,王强,等.喀斯特山区生态系统服务权衡关系分异特征及生态安全格局识别——以贵州省为例[J].地理科学,2024,44(06):1080-1091.
    [13] 孙智杰,王艺霖,梁川,等.基于RUSLE模型的利川市水土流失敏感性时空特征分析[J].资源环境与工程,2024,38(05):586-593.
    [14] 张媛.黑白河流域下垫面变化及其水源涵养功能研究[D].兰州大学,2020.
    [15] Wakiyama T, Zusman E. The impact of electricity market reform and subnational climate policy on carbon dioxide emissions across the United States: A path analysis[J]. Renewable and Sustainable Energy Reviews, 2021, 149, 111337.
    [16] 廖洪圣,卫伟,石宇.黄土丘陵区典型流域土壤侵蚀时空演变特征及其驱动机制:以祖厉河为例[J].生态环境学报,2024,33(06):908-918.
    [17] Ma S, Wang L, Jiang J. Threshold effect of ecosystem services in response to climate change and vegetation coverage change in the Qinghai-Tibet Plateau ecological shelter[J]. Journal of Cleaner Production, 2021, 318: 128592.
    [18] Chen J, Xiao H, Li Z, et al. Threshold effects of vegetation coverage on soil erosion control in small watersheds of the red soil hilly region in China[J]. Ecological Engineering, 2019, 134: 109-114.
    [19] Wang C, Tang C, Fu B, et al. Determining critical thresholds of ecological restoration based on ecosystem service index: A case study in the Pingjiang catchment in southern China[J]. Journal of Environmental Management, 2022, 303: 114220.
    [20] 徐勇,郑志威,孟禹弛,等.西南地区不同类型植被NPP时空演变及影响因素探究[J].环境科学,2024,45(01):262-274.
    [21] Liu C, Dong X, Liu Y. Changes of NPP and their relationship to climate factors based on the transformation of different scales in Gansu, China[J]. Catena, 2015, 125: 190-199.
    [22] 王丽霞,丁慧兰,刘招,等.基于CASA模型探究泾河流域植被NPP时空动态及其对气候变化的响应[J].水土保持研究,2022,29(01):190-196.
    [23] Pan D, Gao X, Dyck M, et al. Dynamics of runoff and sediment trapping performance of vegetative filter strips: Run-on experiments and modeling[J]. Science of The Total Environment, 2017, 593-594(1): 54-64.
    [24] Wei X, Yang J, Luo P, et al. Assessment of the variation and influencing factors of vegetation NPP and carbon sink capacity under different natural conditions[J]. Ecological Indicators, 2022, 138: 108834.
    [25] Tang Z, Zhou Z, Wang D, et al. Impact of vegetation restoration on ecosystem services in the Loess plateau, a case study in the Jinghe Watershed, China[J]. Ecological Indicators, 2022, 142: 109183.
    [26] Bai Y, Li S, Liu M, et al. Assessment of vegetation change on the Mongolian Plateau over three decades using different remote sensing products[J]. Journal of Environment Management, 2022, 317: 115509
    [27] Chi D, Wang H, Li X, et al. Assessing the effects of grazing on variations of vegetation NPP in the Xilingol Grassland, China, using a grazing pressure index[J]. Ecological Indicators, 2018, 88: 372-383.
    [28] Huang S, Li P, Huang Q, et al. Copula-based identification of the non-stationarity of the relation between runoff and sediment load[J]. International Journal of Sediment Research, 2017, 32(2): 221-230.
    [29] Peng J, Bai X, Chen X, Climate-driven soil erosion processes in alpine environments over the last century: Evidence from the Taibai Mountain (central China)[J]. Catena, 2021, 206: 105569.
    [30] Chen X, Yu L, Du Z, et al. Distribution of ecological restoration projects associated with land use and land cover change in China and their ecological impacts[J]. Science of the Total Environment, 2022, 825: 153938.
    [31] Zheng K, Wei J, Pei J, et al. Impacts of climate change and human activities on grassland vegetation variation in the Chinese Loess Plateau[J]. Science of the Total Environment, 2019, 660(10): 236-244.
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  • 收稿日期:2024-11-21
  • 最后修改日期:2024-12-23
  • 录用日期:2024-12-23