近30年河南省耕地土壤有机碳的三维变化与关键因素研究
作者:
中图分类号:

S159;P934

基金项目:

国家重点研发计划项目(2021YFD1700900)和河南省玉米产业技术体系项目(S2010-02-G07)资助


Three Dimensional Changes of Soil Organic Carbon Content and Its’ Key Factors in Cultivated soils of Henan Province During the Recent 30 Years
Author:
Fund Project:

Supported by the National Key Research and Development Program (No.2021YFD1700900) and Technical System of Maize Industry in Henan Province(No.S2010-02-G07).

  • 摘要
  • | |
  • 访问统计
  • |
  • 参考文献 [45]
  • |
  • 相似文献 [20]
  • | | |
  • 文章评论
    摘要:

    详细的土壤有机碳(Soil organic carbon,SOC)时空变化信息是评估土壤固碳能力的基础。但多数研究聚焦耕层SOC,对深层SOC变化的敏感区域、深度区间和关键因素理解不足。基于1982和2010两期土壤调查数据,以分位数随机森林构建环境协变量与SOC关系模型,研究了1982—2010河南耕地土壤0~15 cm、15~30 cm、30~60 cm和60~100 cm的SOC变化。研究表明0~15 cm土层SOC增长主要发生在平原和盆地,增幅为2~4 g·kg-1;15~30 cm土层SOC增长主要发生在沿黄河潮土区和褐土、水稻土的零星地区,增幅为0~2 g·kg-1;30 cm以下土层SOC变化的概率较低;总体上,生物气候因素对SOC变化的影响较土壤质地和pH更大。28年间 1 m土体SOC储量增长7.04%、年均增长率为2.43‰;随着SOC增加和全球变暖,下阶段SOC增速较难实现第21届联合国气候变化峰会(the 21st Conference of the Parties,COP21)倡导的4‰目标。

    Abstract:

    【Objective】 The information of temporal-spatial variation of soil organic carbon content (SOC) with high resolution and high precision is the base for assessing the capability of soil in sequestrating carbon. Though there had been much research on the changes in topsoil SOC, research on SOC of deeper soil layers is still rare. To reduce the gaps in understanding of the ability of deep soil to sequestrate carbon, our research sought to investigate the sensitive area where SOC had changed significantly, the depth where SOC had changed significantly, and the factors that drive SOC change. Thus, research on the temporal-spatial changes of SOC of 0~15 cm, 15~30 cm, 30~60 cm and 60~100 cm of cultivated land in Henan, China from 1982-2010 was conducted and the SOC accumulation rate in this area was compared with that of the COP21 target . 【Method】The legacy soil data that was collected from the second national soil survey carried out in 1982 and the recent topsoil data and soil profile data that were sampled in 2010 were used in this research. Digital soil mapping technology with the aid of a quantile random forest algorithm (QRF) and 26 environmental covariates was used to produce SOC maps. For every soil layer in both 1982 and 2010, 500 SOC distributions with equal probability were produced by QRF, and then the SOC map pools for both 1982 and 2010 were derived. Then, stochastic sampling with replacement was repeated 1 000 times from both SOC map pools, respectively, and each time, a subtraction of the two SOC maps was performed to get a SOC change map. So, 1 000 SOC change maps with equal probability were got and based on that the uncertainties of SOC change were assessed. Only those SOC changes with a probability above 0.66 were received as significant results and were used to calculate SOC storage change in the next step. To better understand the mechanism of SOC change, SOC changes among soil types were compared, and the Pearson correlation coefficient between SOC change and primitive SOC content, some climate variables, crop yields, straw returning amount, soil texture, and soil pH were analyzed. 【Result】It was revealed that the significant increase of SOC in 0~15cm, with a magnitude of 2~4 g·kg-1, had taken place across the plain and basin regions of Henan province. Nevertheless, the increase of SOC in 15~30 cm soil layers with a magnitude of 0~2 g·kg-1 mainly took place in the Fluvo-aquic soils that were distributed alongside the Huang river and scattered to the Cinnamon soils and Paddy soils. The changes of SOC in soil layers below the 30 cm depth were low in probability. Overall, the total storage of SOC in 0~1 m depth of soils across the cultivated land of Henan province increased by 7.04% in the past 28 years with a mean annual rate of 2.43‰, which was far from the expected value of COP21 4‰. It was also found that the effects of bio-climate variables were more important than soil variables in SOC change. Except for single-cropping rice areas with a fallow period every year, SOC significantly or extremely significantly correlated with biomass input. The mean annual temperature range (the difference between the mean hottest month temperature and the mean coldest month temperature) was positively correlated with SOC accumulation, while climate warming had a negative effect on it. Probably due to the differences in the environment and soil properties, the relationships between SOC change and soil texture, between SOC change and soil pH in different soil types were high variable. The initial SOC values were negatively correlated with SOC change in 0~15cm in two of five soil categories, so was that in 15~30 cm in all the five soil categories, which may be implied a slowing rate for the SOC accumulation in the future. 【Conclusion】The SOC accumulating rate in Henan province will be difficult to meet the object of COP21 in the future. Thus, it is suggested not to overestimate the effects of agricultural soil on carbon sequestrating and much attention should be paid to reducing net carbon emission.

    参考文献
    [1] Minasny B,Malone B P,McBratney A B,et al. Soil carbon 4 per mille[J]. Geoderma,2017,292:59-86.
    [2] Dal Ferro N,Piccoli I,Berti A,et al. Organic carbon storage potential in deep agricultural soil layers:Evidence from long-term experiments in northeast Italy[J]. Agriculture,Ecosystems & Environment,2020,300:106967.
    [3] Ludwig B,Hu K L,Niu L G,et al. Modelling the dynamics of organic carbon in fertilization and tillage experiments in the North China Plain using the Rothamsted Carbon Model-initialization and calculation of C inputs[J]. Plant and Soil,2010,332(1/2):193-206.
    [4] Zhao Y C,Xu S X,Wang M Y,et al. Carbon sequestration potential in Chinese cropland soils:Review,challenge,and research suggestions[J]. Bulletin of Chinese Academy of Sciences,2018,33(2):191-197. [赵永存,徐胜祥,王美艳,等. 中国农田土壤固碳潜力与速率:认识、挑战与研究建议[J]. 中国科学院院刊,2018,33(2):191-197.]
    [5] Zhao Y C,Wang M Y,Hu S J,et al. Economics- and policy-driven organic carbon input enhancement dominates soil organic carbon accumulation in Chinese croplands[J]. Proceedings of the National Academy of Sciences of the United States of America,2018,115(16):4045-4050.
    [6] Ou Y,Rousseau A N,Wang L X,et al. Spatio-temporal patterns of soil organic carbon and pH in relation to environmental factors-A case study of the Black Soil Region of Northeastern China[J]. Agriculture,Ecosystems & Environment,2017,245:22-31.
    [7] Xia X Q,Yang Z F,Liao Y,et al. Temporal variation of soil carbon stock and its controlling factors over the last two decades on the southern Song-Nen Plain,Heilongjiang Province[J]. Geoscience Frontiers,2010,1(1):125-132.
    [8] Cheng H X,Bai R J,Li K,et al. Study of loss or gain of soil organic carbon in Da'an region,Jilin Province in China[J]. Journal of Geochemical Exploration,2012,112:272-275.
    [9] Dai F Q,Su Z G,Liu S Z,et al. Temporal variation of soil organic matter content and potential determinants in Tibet,China[J]. Catena,2011,85(3):288-294.
    [10] Wang L G,Qiu J J,Tang H J,et al. Modelling soil organic carbon dynamics in the major agricultural regions of China[J]. Geoderma,2008,147(1/2):47-55.
    [11] Cao X H,Long H Y,Lei Q L,et al. Spatio-temporal variations in organic carbon density and carbon sequestration potential in the topsoil of Hebei Province,China[J]. Journal of Integrative Agriculture,2016,15(11):2627-2638.
    [12] Yang F,Xu Y,Cui Y,et al. Variation of soil organic matter content in croplands of China over the last three decades[J]. Acta Pedologica Sinica,2017,54(5):1047-1056. [杨帆,徐洋,崔勇,等. 近30年中国农田耕层土壤有机质含量变化[J]. 土壤学报,2017,54(5):1047-1056.]
    [13] Wu S R,Wei J,Qiu L X,et al. Study of Soil Organic Carbon Sequestration Rate and Potential of Farmland Soil in Fujian Province Based on the Large Scale Soil Database[J]. Acta Pedologica Sinica,2022,59(5):1293-1305. [吴世蓉,位佳,邱龙霞,等. 基于大比例尺数据库的福建省耕地土壤固碳速率和潜力研究[J]. 土壤学报,2002,59(5):1293-1305.]
    [14] Zhao M S,Li D C,Wang S H. Variation of soil organic carbon in farmland of Anhui and its influencing factors in the 30 years from 1980 to 2010[J]. Acta Pedologica Sinica,2018,55(3):595-605. [赵明松,李德成,王世航. 近30年安徽省耕地土壤有机碳变化及影响因素[J]. 土壤学报,2018,55(3):595-605.]
    [15] Li L,Zhang S K,Wu K N,et al. Analysis on spatio-temporal variability of soil organic matter in Henan Province based on soil taxonomy[J]. Acta Pedologica Sinica,2015,52(5):979-990. [李玲,张少凯,吴克宁,等. 基于土壤系统分类的河南省土壤有机质时空变异[J]. 土壤学报,2015,52(5):979-990.]
    [16] Guo N J,Shi X Z,Zhao Y C,et al. Environmental and anthropogenic factors driving changes in paddy soil organic matter:A case study in the middle and Lower Yangtze River plain of China[J]. Pedosphere,2017,27(5):926-937.
    [17] Dong L,Shi X Z,Xu S X,et al. Effects of different management measures on the organic carbon of farmland soil profile in China based on meta-analysis[J]. Soils,2021,53(6):1290-1298. [董丽,史学正,徐胜祥,等. 基于Meta分析研究不同管理措施对中国农田土壤剖面有机碳的影响[J]. 土壤,2021,53(6):1290-1298.]
    [18] Liang F,Li J W,Zhang S Q,et al. Two-decade long fertilization induced changes in subsurface soil organic carbon stock vary with indigenous site characteristics[J]. Geoderma,2019,337:853-862.
    [19] Blanco-Canqui H,Shapiro C,Jasa P,et al. No-till and carbon stocks:Is deep soil sampling necessary? Insights from long-term experiments[J]. Soil and Tillage Research,2021,206:104840.
    [20] Wu K N,Li L,Ju B,et al. Henan volume in soil series of China[M]. Beijing:Science Press,2019.[吴克宁,李玲,鞠兵,等. 中国土系志·河南卷[M],北京:科学出版社,2019. ]
    [21] Minasny B,McBratney A B. Digital soil mapping:A brief history and some lessons[J]. Geoderma,2016,264:301-311.
    [22] National Burea of Statistics. 2021 China Statistical Year Book[M]. Beijing:China Statistics Press,2021.[国家统计局.2021中国统计年鉴[M].北京:中国统计出版社,2021.]
    [23] Wei K X. Henan soil geography[M]. Zhengzhou:Science and Technology Press of Henan Province,1995.[魏克循. 河南土壤地理[M],郑州:河南科学技术出版社,1995.]
    [24] Soil Survey Office of Henan Province. Soil Series of Henan Province [M]. Beijing:China
    [25] Agriculture Press,1995. [河南省土壤肥料工作站河南省土壤普查办公室. 河南土种志[M]. 北京:中国农业出版社,1995.]
    [26] Malone B P,McBratney A B,Minasny B,et al. Mapping continuous depth functions of soil carbon storage and available water capacity[J]. Geoderma,2009,154(1/2):138-152.
    [27] Chen P F. Monthly NPP dataset covering China's terrestrial ecosystems at north of 18°N(1985-2015)[J]. Journal of Global Change Data & Discovery,2019,3(1):34-41,143. [陈鹏飞. 北纬18°以北中国陆地生态系统逐月净初级生产力1公里栅格数据集(1985-2015)[J]. 全球变化数据学报,2019,3(1):34-41,143.]
    [28] Zhao Y F,Zhang H N,Cheng D Q,et al. Cultivated land productivity evaluation at provincial scale based on a map of grouped soil profile configuration pattern[J]. Chinese Journal of Soil Science,2015,46(5):1040-1048. [赵彦锋,张化楠,程道全,等. 基于归并“土体构型”图的省域耕地地力评价[J]. 土壤通报,2015,46(5):1040-1048.]
    [29] Ning X J,Qin Y C,Cui Y P,et al. Hydrothermal conditions change data of China in 1km resolution in decades from 1951 to 2010[J/DB/OL]. Digital Journal of Global Change Data Repository,2016. https://doi.org/10.3974/geodb.2016.01.07.V1.[宁晓菊,秦耀辰,崔耀平,等,中国10年平均水热条件变化公里网格数据集(1951-2010)[J/DB/OL]. 全球变化数据仓储电子杂志,2016. https://doi.org/10.3974/geodb.2016.01.07.V1.]
    [30] Wei X T. The changes of soil pH and its’ uncertainties in Henan Province in recent 40 years[D]. Zhengzhou:Zhengzhou University,2021. [魏鑫涛. 河南省近40年土壤pH变化及其度量的不确定性[D]. 郑州:郑州大学,2021. ]
    [31] Meinshausen N. quantregForest:Quantile Regression Forests. 2017. http://github.com/lorismichel/quantregForest.
    [32] R Core Team,R Foundation for Statistical Computing. R:A language and environment for statistical computing. 2020. https://www.r-project.org/.
    [33] Liu F,Zhang G L,Sun Y J,et al. Mapping the three-dimensional distribution of soil organic matter across a subtropical hilly landscape[J]. Soil Science Society of America Journal,2013,77(4):1241-1253.
    [34] Lin L I. A concordance correlation coefficient to evaluate reproducibility[J]. Biometrics,1989,45(1):255-268.
    [35] Minasny B,Hong S Y,Hartemink A E,et al. Soil pH increase under paddy in south Korea between 2000 and 2012[J]. Agriculture,Ecosystems & Environment,2016,221:205-213.
    [36] Tian K,Zhao Y C,Xing Z,et al. A meta-analysis of long-term experiment data for characterizing the topsoil organic carbon changes under different conservation tillage in cropland of China[J]. Acta Pedologica Sinica,2013,50(3):433-440. [田康,赵永存,邢喆,等. 中国保护性耕作农田土壤有机碳变化速率研究——基于长期试验点的Meta分析[J]. 土壤学报,2013,50(3):433-440.]
    [37] Guo N J,Shi X Z,Zhao Y C,et al. Comparative study on impacts of anthropogenic and environment factors on soil organic matter:A case study of typical black soil region and paddy soil region[J]. Acta Pedologica Sinica,2016,53(5):1097-1106. [郭乃嘉,史学正,赵永存,等. 人为与环境因子对农田土壤有机质影响的比较研究——以典型黑土区和水稻土区为例[J]. 土壤学报,2016,53(5):1097-1106.]
    [38] Zheng L,Wu W L,Wei Y P,et al. Effects of straw return and regional factors on spatio-temporal variability of soil organic matter in a high-yielding area of Northern China[J]. Soil and Tillage Research,2015,145:78-86.
    [39] Hu T J. Wheat ecology and production[M]. Zhengzhou:Science and Technology Press of Henan Province,1986.[胡廷积.小麦生态与生产技术[M]. 郑州:河南科学技术出版社,1986.]
    [40] Zhang X M,Guo J H,Vogt R D,et al. Soil acidification as an additional driver to organic carbon accumulation in major Chinese croplands[J]. Geoderma,2020,366:114234.
    [41] Zhao H L,Zhang H J,Shar A G,et al. Enhancing organic and inorganic carbon sequestration in calcareous soil by the combination of wheat straw and wood ash and/or lime[J]. PLoS One,2018,13(10):e0205361.
    [42] Zhao H L,Dong J J,Shi J L,et al. Effect of straw returning mode on soil organic carbon sequestration[J]. Acta Pedologica Sinica,2021,58(1):213-224. [赵惠丽,董金琎,师江澜,等. 秸秆还田模式对小麦-玉米轮作体系土壤有机碳固存的影响[J]. 土壤学报,2021,58(1):213-224.]
    [43] Wang Y L,Wu P N,Mei F J,et al. Does continuous straw returning keep China farmland soil organic carbon continued increase? A meta-analysis[J]. Journal of Environmental Management,2021,288:112391.
    [44] Xie E Z,Zhang X,Lu F Y,et al. Integration of a process-based model into the digital soil mapping improves the space-time soil organic carbon modelling in intensively human-impacted area[J]. Geoderma,2022,409:115599.
    [45] Baveye P C,Berthelin J,Tessier D,et al. The “4 per 1000” initiative:A credibility issue for the soil science community? [J]. Geoderma,2018,309:118-123.
    引证文献
    网友评论
    网友评论
    分享到微博
    发 布
引用本文

赵彦锋,李怡欣,马盼盼,陈杰,李元元,杨琼,程道全.近30年河南省耕地土壤有机碳的三维变化与关键因素研究[J].土壤学报,2023,60(5):1409-1420. DOI:10.11766/trxb202201290041 ZHAO Yanfeng, LI Yixin, MA Panpan, CHEN Jie, LI Yuanyuan, YANG Qiong, CHENG Daoquan. Three Dimensional Changes of Soil Organic Carbon Content and Its’ Key Factors in Cultivated soils of Henan Province During the Recent 30 Years[J]. Acta Pedologica Sinica,2023,60(5):1409-1420.

复制
分享
文章指标
  • 点击次数:354
  • 下载次数: 1697
  • HTML阅读次数: 1011
  • 引用次数: 0
历史
  • 收稿日期:2022-01-29
  • 最后修改日期:2022-10-20
  • 录用日期:2022-11-18
  • 在线发布日期: 2023-01-03
  • 出版日期: 2023-09-28
文章二维码