Zhu Xiuwei, Pan Jinghu, Wu Xueting
College of Geography and Environmental Science, Northwest Normal University, PR China.
Heliyon. 2024 Feb 1;10(3):e25305. doi: 10.1016/j.heliyon.2024.e25305. eCollection 2024 Feb 15.
Agricultural irrigation and resettlement have significant impacts on carbon storage in arid inland river basins. With the background of "Comprehensive development measures for agricultural irrigation and resettlement in Shule River Basin (SRB)", this paper uses land use data to estimate regional carbon storage through InVEST model and revises the result by using net ecosystem productivity (NEP). The influence of land use change on carbon storage and the driving factors of carbon storage spatial differentiation were analyzed by using the optimal parameters geographical detector (OPGD). It can be inferred from the results that: (1) During 2000-2020, the increase of cropland and grassland area is the main type of land use change in the central oasis area of Yumen City and Guazhou County. Cumulative carbon storage increased by 1.75 × 10 t. (2) NEP in the central oasis area of Yumen City and Guazhou County showed a fluctuating upward trend, and it generally behaves as a carbon sink. The average annual NEP was 1.78 × 10 t, and the carbon sink increased by 0.95 × 10 t. (3) The main factors responsible for driving are vegetation, elevation, potential evapotranspiration, and precipitation. The explanatory power of each factor in carbon storage spatial differentiation was enhanced by the interaction between natural and anthropogenic factors. The interaction between vegetation and the human factor is more significant than that of the human single factor. (4) Agricultural irrigation and resettlement measures did not cause a decline in ecosystem carbon storage in Yumen City and Guazhou County in the central part of SRB. Conversely, the region's ecosystems have seen an increase in carbon storage as a result of the increase in cropland. (5) The introduction of the NEP modification method and the OPGD model improves the accuracy of carbon storage estimation and obtains better driving results in spatial differentiation. The study idea provides a new perspective for the estimation of carbon storage as a whole, and provides a reference basis for the formulation of ecological protection policies.
农业灌溉与移民安置对干旱内陆河流域的碳储量有显著影响。以“疏勒河流域(SRB)农业灌溉与移民安置综合发展措施”为背景,本文利用土地利用数据,通过InVEST模型估算区域碳储量,并利用净生态系统生产力(NEP)对结果进行修正。采用最优参数地理探测器(OPGD)分析土地利用变化对碳储量的影响以及碳储量空间分异的驱动因素。结果表明:(1)2000—2020年期间,耕地和草地面积增加是玉门市和瓜州县中部绿洲区土地利用变化的主要类型。累计碳储量增加了1.75×10 t。(2)玉门市和瓜州县中部绿洲区的NEP呈波动上升趋势,总体表现为碳汇。年均NEP为1.78×10 t,碳汇增加了0.95×10 t。(3)驱动的主要因素是植被、海拔、潜在蒸散和降水。自然因素与人为因素的相互作用增强了各因素对碳储量空间分异的解释力。植被与人为因素的相互作用比人为单一因素更显著。(4)疏勒河流域中部玉门市和瓜州县的农业灌溉与移民安置措施并未导致生态系统碳储量下降。相反,由于耕地增加,该地区生态系统的碳储量有所增加。(5)引入NEP修正方法和OPGD模型提高了碳储量估算的准确性,并在空间分异方面获得了较好的驱动结果。该研究思路为整体碳储量估算提供了新的视角,为生态保护政策的制定提供了参考依据。