山西南部中条山生态系统碳储量时空分布及驱动因素

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摘要为探究陆地生态系统碳储量特征对促进区域低碳建设、实现区域“碳达峰、碳中和”的作用.本文运用InVEST模型的碳储量模块估算了2000~2020年中条山生态系统碳储量，并通过净生态系统生产力（NEP）对其结果进行修正，最后利用地理探测器分析碳储量空间分异的驱动因素.结果表明：2000~2020年中条山修正后碳储量总体呈增加趋势，累计增加了2.296×10⁶t，碳储量高值区主要分布于东部、中部和西北部，低值区分布于西南部及中部小部分区域.2000~2020年中条山陆地生态系统碳汇总量呈增加趋势，区域年均单位NEP为0.060kgC/（m²·a），碳汇区主要分布在东部，碳源区分布在中部及西北部.碳储量空间分异主要受年均NDVI、人类活动强度和年均潜在蒸散发的影响，其次是年均气温、年均人口和高程.不同因子的交互作用对碳储量的影响呈双因子增强和非线性增强，表明碳储量空间分异是由自然因素和人为因素共同作用的结果.中条山在生态环境保护和区域低碳建设中，应综合考虑不同影响因素的特点，采取差异化的生态调控模式和策略，提高生态系统的稳定性，增强碳储存能力.

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	韩玉
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	杨太保

关键词 ：碳储量, InVEST模型, 净生态系统生产力, 模型修正, 地理探测器, 中条山

Abstract：In order to explore the role of terrestrial ecosystem carbon storage playing in promoting regional low-carbon construction and realizing carbon peaking and carbon neutrality, our study estimated the carbon storage of the Zhongtiao Mountain ecosystems during 2000 to 2020 using the carbon storage module of InVEST model. The carbon storage was modified according to the net ecosystem productivity (NEP) data. What's more, the geographic detectors were used to analyze the driving factors for the spatial variations of carbon storage. The results showed that the modified carbon storage in Zhongtiao Mountain increased by 2.296×10⁶t from 2000 to 2020. The high carbon storages were mainly distributed in the east, central and northwest regions, while the low values were distributed in the southwest and a small part of the central region. Total carbon sink of terrestrial ecosystem in the Zhongtiao Mountain showed an increasing trend from 2000 to 2020, and the regional average annual NEP was 0.060kgC/(m²·a). The carbon sink was mainly distributed in the east, while the carbon source was distributed in the central and northwestern regions. The spatial variation of carbon storage was mainly influenced by annual average NDVI, human activity intensity and annual potential evapotranspiration, followed by annual average temperature, population and elevation. The interaction effects of different factors on carbon storage showed a double factor and nonlinear enhancement, which indicated that the spatial differences of carbon storage were influenced by the natural and human factors. In the ecological environment protection and regional low-carbon construction of Zhongtiao Mountain, the different influencing factors should be considered comprehensively, and differentiated ecological regulation models and strategies should be adopted to improve the ecosystem stability and enhance the carbon storage capacity.

Key words： carbon storage InVEST model net ecosystem productivity model correction Geodetector Zhongtiao Mountain

收稿日期: 2022-07-22

PACS:

X171

通讯作者: 杨太保,教授,yangtb@lzu.edu.cn E-mail: yangtb@lzu.edu.cn

作者简介: 韩玉(1996-),男,山东单县人,兰州大学资源环境学院硕士研究生,主要从事生态系统碳储量研究.

引用本文:

韩玉, 丁素婷, 杨太保. 山西南部中条山生态系统碳储量时空分布及驱动因素[J]. 中国环境科学, 2023, 43(3): 1298-1306. HAN Yu, DING Su-ting, YANG Tai-bao. Spatial and temporal distribution and driving factors of carbon storage in Zhongtiao Mountain ecosystem in southern Shanxi Province. CHINA ENVIRONMENTAL SCIENCECE, 2023, 43(3): 1298-1306.

链接本文:

http://www.zghjkx.com.cn/CN/ 或 http://www.zghjkx.com.cn/CN/Y2023/V43/I3/1298

[1]	余碧莹,赵光普,安润颖,等.碳中和目标下中国碳排放路径研究[J]. 北京理工大学学报(社会科学版), 2021,23(2):17-24. Yu B Y, Zhao G P, An R Y, et al. Research on China's CO2emission pathway under carbon neutral target[J]. Journal of Beijing Institute of Technology (Social Sciences Edition),2021,23(2):17-24.
[2]	Intergovernmental Panel on Climate Change (IPCC). Special report on global warming of 1.5℃[R]. UK:Cambridge University Press, 2018.
[3]	习近平.继往开来,开启全球应对气候变化新征程[N]. 人民日报, 2020-12-13(002). Xi J P. Building on past achievements and launching a new journey for global climate actions[N]. The People 's Daily, 2020-12-13(002).
[4]	习近平.在第七十五届联合国大会一般性辩论上的讲话[N]. 人民日报, 2020-09-23(001). Xi J P. Statement at the general debate of the 75th Session of the United Nations General Assembly[N]. The People 's Daily, 2020-09-23(001).
[5]	方精云.碳中和的生态学透视[J]. 植物生态学报, 2021,45(11):1173-1176. Fang J Y. Ecological perspectives of carbon neutrality[J]. Chinese Journal of Plant Ecology, 2021,45(11):1173-1176.
[6]	Zhu W, Zhang J, Cui Y, et al. Ecosystem carbon storage under different scenarios of land use change in Qihe catchment, China[J]. Journal of Geographical Sciences, 2020,30(9):1507-1522.
[7]	Tao Y, Li F, Wang R, et al. Effects of land use and cover change on terrestrial carbon stocks in urbanized areas:A study from Changzhou, China[J]. Journal of Cleaner Production, 2015,103(sep.15):651-657.
[8]	Baumann M, Gasparri I, Gavier Pizarro G, et al. 2017. Carbon emissions from agricultural expansion and intensification in the Chaco[J]. Global Change Biology, 23(5):1902-1916.
[9]	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 H, Shi Y, Sun W J, et al. Terrestrial carbon sinks in China and around the world and their contribution to carbon neutrality[J]. Science China Life Sciences, 2022,52(4):534-574.
[10]	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.
[11]	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 drivering force analysis based on InVEST model in the Tibetan Plateau[J]. Acta Agrestia Sinica, 2021,29(S1):43-51.
[12]	陈星霖.林业碳汇经济价值评估及影响因素研究[D]. 福州:福建农林大学, 2018. Chen X L. Research on economic value assessment and influencing factors of carbon sink in forest sector[D]. Fuzhou:Fujian Agriculture and Forestry University, 2018.
[13]	Houghton R A, Nassikas A. Global and regional fluxes of carbon from land use and land cover change 1850~2015[J]. Global Biogeochemical Cycles, 2017,31(3):456-472.
[14]	Rijal S, Rimal B, Acharya R P, et al. Land use/land cover change and ecosystem services in the Bagmati River Basin, Nepal[J]. Environmental Monitoring and Assessment, 2021,193:651.
[15]	Hernández-Guzmán, R., Ruiz-Luna, A., González, C. Assessing and modeling the impact of land use and changes in land cover related to carbon storage in a western basin in Mexico[J]. Remote Sensing Applications:Society and Environment, 2019,13:318-327.
[16]	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.
[17]	张凯琪,陈建军,侯建坤,等.耦合InVEST与GeoSOS-FLUS模型的桂林市碳储量可持续发展研究[J]. 中国环境科学, 2022,42(6):2799-2809. Zhang K Q, Chen J J, Hou J K, et al. Study on sustainable development of carbon storage in Guilin coupled with InVEST and GeoSOS-FLUS model[J]. China Environmental Science, 2022,42(6):2799-2809.
[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 Province[J]. China Environmental Science, 2022,42(10):4827-4839.
[19]	邹文涛,何友均,叶兵,等.基于InVEST模型的钱江源国家公园生态系统碳储量研究[J]. 中南林业科技大学学报, 2021,41(3):120-128. Zou W T, He Y J, Ye B, et al. Study on carbon storage of ecosystem in Qianjiangyuan National Park based on InVEST model[J].Journal of Central South University of Forestry &Technology, 2021,41(3):120-128.
[20]	梁爱军,孙朝升,闫彩云,等.中条山林区人工林林分质量评价[J]. 西北林学院学报, 2017,32(6):203-209. Liang A J, Sun C S, Yan C Y, et al. Assessment on the plantation stand quality in the forest area of Zhongtiao Mountain[J]. Journal of Northwest Forestry University, 2017,32(6):203-209.
[21]	滕红梅,王艳萍,闫丽清,等.中条山区域野生油脂植物资源及特征分析[J]. 中国油脂, 2020,45(9):137-144. Teng H M, Wang Y P, Yan L Q, et al. Resources and characteristics of wild oil plants in Zhongtiaoshan area[J]. China Oils and Fats, 2020, 45(9):137-144.
[22]	上官铁梁,张峰,樊龙锁.中条山木本植物区系地理成分分析[J]. 植物研究, 2000,(2):143-155. Shangguan T L, Zhang F, Fan LS.Analysis on the flora of xylophyta in Zhongtiao Mountains, Shanxi[J]. Bulletin of Botanical Research, 2000,(2):143-155.
[23]	Jie Y, Xin H. The 30m annual land cover datasets and its dynamics in China from 1990 to 2020(1.0.0)[Data set]. Zenodo. https://doi.org/10.5281/zenodo.5210928.
[24]	徐勇,孙晓一,汤青.陆地表层人类活动强度:概念、方法及应用[J]. 地理学报, 2015,70(7):1068-1079. Xu Y, Sun X Y, Tang Q. Human activity intensity of land surface:Concept, method and application in China[J]. Acta Geographica Sinica, 2015,70(7):1068-1079.
[25]	严恩萍,林辉,王广兴,等.1990~2011年三峡库区生态系统服务价值演变及驱动力[J]. 生态学报, 2014,34(20):5962-5973. Yang E P, Lin H, Wang G X, et al. Analysis of evolution and driving force of ecosystem service values in the Three Gorges Reservoir region during 1990 to 2011[J]. Acta Ecologica Sinica, 2014,34(20):5962-5973.
[26]	解宪丽,孙波,周慧珍,等.中国土壤有机碳密度和储量的估算与空间分布分析[J]. 土壤学报, 2004,(1):35-43. Xie X L, Sun B, Zhou H Z, et al. Organic carbon density and storage in soils of China and spatial analysis[J]. Acta Pedologica Sinica, 2004,(1):35-43.
[27]	李忠,孙波,赵其国.我国东部土壤有机碳的密度和储量[J]. 农业环境保护, 2001,(6):385-389. Li Z, Sun B, Zhao Q G. Density and storage of soil organic carbon in east China[J]. Agro-environmental Protection, 2001,(6):385-389.
[28]	温永斌,韩海荣,程小琴,等.山西太岳山森林碳水关系研究[J]. 西北林学院学报, 2019,34(4):49-56. Wen Y B, Han H R, Cheng X Q, et al. Study on the relationship between forest carbon and water in Taiyue mountain, Shanxi[J]. Journal of Northwest Forestry University, 2019,34(4):49-56.
[29]	李茂娟,李天奇,朱文博,等.基于InVEST模型的太行山区生态系统碳储量多维变化研究[J]. 河南大学学报:自然科学版, 2021,51(6):631-642,684. Li M J, Li T Q, Zhu W B, et al. Multidimensional changes of carbon storage in taihang mountain ecosystem based on InVEST model[J]. Journal of Henan University:Natural Science, 2021,51(6):631-642, 684.
[30]	张燕,师学义,唐倩.不同土地利用情景下汾河上游地区碳储量评估[J]. 生态学报, 2021,41(1):360-373. Zhang Y, Shi X Y, Tang Q. Carbon storage assessment in the upper reaches of the Fenhe River under different land use scenarios[J]. Acta Ecologica Sinica, 2021,41(1):360-373.
[31]	王宁.山西森林生态系统碳密度分配格局及碳储量研究[D]. 北京:北京林业大学, 2014. Wang N. Study on distribution patterns of carbon density and carbon stock in the forest ecosystem of Shanxi[D]. Beijing:Beijing Forestry University, 2014.
[32]	王志萍.2013年度山西省林业碳汇计量监测初探[J]. 山西林业, 2016,(1):19-21. Wang Z P. Preliminary study on the measurement and monitoring of forestry carbon sink in Shanxi Province in 2013[J]. Forestry of Shanxi, 2016,(1):19-21.
[33]	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 P, Yu G R. A dataset of carbon density in Chinese terrestrial ecosystems (2010s)[J]. China Scientific Data, 2019,4(1):90-96.
[34]	方精云,柯金虎,唐志尧,等.生物生产力的"4P"概念、估算及其相互关系[J]. 植物生态学报, 2001,(4):414-419. Fang J Y, Ke J H, Tang Z Y, et al. Implication and estimations of four terrestrial productivity parameters[J]. Acta Phytoecologica Sinica, 2001,(4):414-419.
[35]	张梅,黄贤金,揣小伟,等.中国净生态系统生产力空间分布及变化趋势研究[J]. 地理与地理信息科学, 2020,36(2):69-74. Zhang M, Huang X J, Tuo X W, et al. Spatial distribution and changing trends of net ecosystem productivity in China[J]. Geography and Geo-Information Science, 2020,36(2):69-74.
[36]	Chen S, Huang Y, Zou J, et al. Interannual variability in soil respiration from terrestrial ecosystems in China and its response to climate change[J]. Science China (Earth Sciences), 2012,55(12):2091-2098.
[37]	张新中,李育,张成琦,等.2000~2014年石羊河流域净生态系统生产力变化分析[J]. 兰州大学学报(自然科学版), 2020,56(4):486-492. Zhang X Z, Li Y, Zhang C Q, et al. Analysis of the net ecosystem production changes in the Shiyang River basin from 2000 to 2014[J]. Journal of Lanzhou University (Natural Sciences Edition), 2020,56(4):486-492.
[38]	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.
[39]	赫晓慧,徐雅婷,范学峰,等.中原城市群区域碳储量的时空变化和预测研究[J]. 中国环境科学, 2022,42(6):2965-2976. He X H, Xu Y T, Fan X F, et al. Temporal and spatial variation and prediction of regional carbon storage in Zhongyuan Urban Agglomeration[J]. China Environmental Science, 2022,42(6):2965-2976.
[40]	Piao S, Fang J, Ciais P, et al. The carbon balance of terrestrial ecosystems in China[J]. Nature, 2009,458(7241).
[41]	He H, Wang S, Zhang L, et al. Altered trends in carbon uptake in China's terrestrial ecosystems under the enhanced summer monsoon and warming hiatus[J]. National Science Review, 2019,6(3):505-514.
[42]	谢薇,陈书涛,胡正华.中国陆地生态系统土壤异养呼吸变异的影响因素[J]. 环境科学, 2014,35(1):334-340. Xie W, Chen S T, Hu Z H. Factors influencing the variability in soil heterotrophic respiration from terrestrial ecosystem in China[J]. Environmental Science, 2014,35(1):334-340.
[43]	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, 2022,12:8114.