影响呼伦贝尔草原土壤有机碳空间变异的主导因素

doi:10.3864/j.issn.0578-1752.2024.12.009

中国农业科学 ›› 2024, Vol. 57 ›› Issue (12): 2378-2389.doi: 10.3864/j.issn.0578-1752.2024.12.009

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇下一篇

影响呼伦贝尔草原土壤有机碳空间变异的主导因素

薛玮¹^,²(), 徐丽君²(), 聂莹莹², 吴欣珈², 严翊丹², 叶立明³, 柳新伟¹^,²()

¹ 青岛农业大学资源与环境学院，中国山东青岛266109
² 北方干旱半干旱耕地高效利用全国重点实验室/ 内蒙古呼伦贝尔草原生态系统国家野外科学观测研究站/中国农业科学院农业资源与农业区划研究所，中国北京 100081
³ 根特大学地质系，比利时根特

收稿日期:2023-08-08 接受日期:2023-11-30 出版日期:2024-06-16 发布日期:2024-06-25
通信作者:
徐丽君，E-mail：xulijun@caas.cn。
柳新伟，E-mail：sdxw@163.com
联系方式: 薛玮，E-mail：13108645452@163.com。
基金资助:
中国农业科学院基本科研业务费专项(G2023-01-32); 国家自然科学基金面上项目(22378422); 国家重点研发计划(2021YFD1300504)

Study on Dominant Factors Affecting Spatial Variation of Soil Organic Carbon in Hulunbuir Grassland

XUE Wei¹^,²(), XU LiJun²(), NIE YingYing², WU XinJia², YAN YiDan², YE LiMing³, LIU XinWei¹^,²()

¹ College of Resources and Environment, Qingdao Agricultural University, Qingdao 266109, Shandong, China
² State Key Laboratory of Efficient Utilization of Arid and Semi-arid Arable Land in Northern China/National Observation and Research Station of Hulunber Grassland Ecosystem/Institute of Agricultural Resources and Regional Planning, Chinese Academy of Agricultural Sciences, Beijing 100081, China
³ Department of Geology, Ghent University, Ghent Belgium

Received:2023-08-08 Accepted:2023-11-30 Published:2024-06-16 Online:2024-06-25

摘要/Abstract

摘要：

【背景】土壤有机碳（SOC）是草地生态系统全球碳循环中的关键组成部分。在气候变化和草地土壤退化的背景下，草地碳循环的研究引起了广泛的关注，特别是对草地SOC在不同时间和空间尺度上的动态和驱动因素的深入分析。然而，对草地SOC长期动态变化的估计和空间变异驱动因子分析目前主要基于遥感建模方法和模拟预测，而非直接测量。【目的】评估呼伦贝尔草原不同时期SOC空间变异因子的相对重要性及其变化特征。【方法】基于1980年全国第二次土壤调查数据，在2022年重复了呼伦贝尔草原第二次土壤调查的31个样点的土壤剖面，并通过建立多元线性模型和广义相加模型对这两个时期SOC变化及其驱动因子进行量化分析。【结果】 1980—2022年，40年间呼伦贝尔草原SOC由17.25 g·kg^-1增加到17.62 g·kg^-1，增加了0.37 g·kg^-1。气候因子的相对重要性从1980年的22.1%增加到2022年的72.9%。相比之下，地形和利用强度因子的相对重要性下降，分别从1980年的38.8%和39.2%下降到2022年的13.5%和13.5%。【结论】气候因子、地形和利用强度共同主导了呼伦贝尔草原土壤有机碳的空间变异。在过去的40多年里，影响草地SOC变化的气候因子已由次要贡献因素演变为主要控制因素。

关键词: 有机碳, 空间变异, 回归模型, 气候, 地形, 驱动因子, 呼伦贝尔草原

Abstract:

【Background】 Soil organic carbon (SOC) is a key component of the global carbon cycle in grassland ecosystems. In the context of climate change and grassland soil degradation, the study of the grassland carbon cycle has garnered extensive attention, particularly the in-depth analysis of the dynamics and driving factors of soil organic carbon in grasslands at different temporal and spatial scales. However, the estimation of long-term dynamic changes and the analysis of drivers for spatial variation in grassland SOC are primarily based on remote sensing modeling methods and simulation predictions, rather than direct measurements. 【Objective】 The aim of this study was to evaluate the relative importance of SOC spatial variation factors and their variation characteristics in different periods of Hulunbuir grassland. 【Method】 Based on the data of the second national soil survey in the 1980, the soil profiles of 31 sample sites in Hulunbuir grassland in 2022 were collected again, and the SOC changes and driving factors of Hulunbuir grassland were quantitatively analyzed in these two periods by establishing a multivariate linear model and a generalized additive model. 【Result】 From 1980 to 2022, the SOC of Hulunbuir grassland increased from 17.25 g·kg^-1 to 17.62 g·kg^-1 in 40 years, with an increase of 0.37 g·kg^-1. The relative importance of climatic factors increased from 22.1% in the 1980 to 72.9% in 2022, compared with a decrease in the relative importance of the topography and utilization intensity factors, which decreased from 38.8% and 39.2% in the 1980 to 13.5% and 13.5% in 2022, respectively. 【Conclusion】 The climatic factors, topography and use intensity jointly dominated the spatial variation of soil organic carbon in Hulunbuir grassland. Over the past 40 years, the climate factors have evolved from a secondary contributor to grassland SOC change to a major controlling factor.

Key words: organic carbon, spatial variation, regression model, climate change, topography, driving factors, Hulunbuir grassland

薛玮, 徐丽君, 聂莹莹, 吴欣珈, 严翊丹, 叶立明, 柳新伟. 影响呼伦贝尔草原土壤有机碳空间变异的主导因素[J]. 中国农业科学, 2024, 57(12): 2378-2389.

XUE Wei, XU LiJun, NIE YingYing, WU XinJia, YAN YiDan, YE LiMing, LIU XinWei. Study on Dominant Factors Affecting Spatial Variation of Soil Organic Carbon in Hulunbuir Grassland[J]. Scientia Agricultura Sinica, 2024, 57(12): 2378-2389.

图/表 8

图1

图2

图3

表1

表2

图4

表3

表4

参考文献 74

[1]	JIANG Y Q, HE K, LI Y Y, QIN M Q, CUI Z Z, ZHANG Y, YAO Y L, CHEN X N, DENG M J, GRAY A, LI B L. Driving factors of total organic carbon in Danjiangkou Reservoir using generalized additive model. Water, 2022, 14(6): 891.
[2]	LAL R. Soil carbon sequestration impacts on global climate change and food security. Science, 2004, 304(5677): 1623-1627. doi: 10.1126/science.1097396 pmid: 15192216
[3]	GRUBA P, SOCHA J. Exploring the effects of dominant forest tree species, soil texture, altitude, and pH_H2O on soil carbon stocks using generalized additive models. Forest Ecology and Management, 2019, 447: 105-114.
[4]	BREULMANN M, BOETTGER T, BUSCOT F, GRUENDLING R, SCHULZ E. Carbon storage potential in size-density fractions from semi-natural grassland ecosystems with different productivities over varying soil depths. The Science of the Total Environment, 2016, 545/546: 30-39.
[5]	WATSON R T. Land Use, Land-Use Change, and Forestry. UK: Cambridge University Press, 2000.
[6]	XIE Z B, ZHU J G, LIU G, GEORG C, TOSHIHIRO H, CHEN C M, SUN H F, TANG H Y, ZENG Q. Soil organic carbon stocks in China and changes from 1980s to 2000s. Global Change Biology, 2007, 13(9): 1989-2007.
[7]	XIN X P, JIN D Y, GE Y, WANG J H, CHEN J Q, QI J G, CHU H S, SHAO C L, MURRAY P J, ZHAO R X, QIN Q, TANG H J. Climate change dominated long-term soil carbon losses of inner Mongolian grasslands. Global Biogeochemical Cycles, 2020, 34(10): 1989-2007.
[8]	辛晓平, 丁蕾, 程伟, 朱晓昱, 陈宝瑞, 刘钟龄, 何广礼, 青格勒, 杨桂霞, 唐华俊. 北方草地及农牧交错区草地植被碳储量及其影响因素. 中国农业科学, 2020, 53(13): 2757-2768. doi: 10.3864/j.issn.0578-1752.2020.13.022.
	XIN X P, DING L, CHENG W, ZHU X Y, CHEN B R, LIU Z L, HE G L, QING G L, YANG G X, TANG H J. Biomass carbon storage and its effect factors in steppe and agro-pastoral ecotones in northern China. Scientia Agricultura Sinica, 2020, 53(13): 2757-2768. doi: 10.3864/j.issn.0578-1752.2020.13.022. (in Chinese)
[9]	DAI E F, HUANG Y, WU Z, ZHAO D S. Analysis of spatio-temporal features of a carbon source/sink and its relationship to climatic factors in the Inner Mongolia grassland ecosystem. Journal of Geographical Sciences, 2016, 26(3): 297-312. doi: 10.1007/s11442-016-1269-0
[10]	LIU S S, YANG Y H, SHEN H H, HU H F, ZHAO X, LI H, LIU T Y, FANG J Y. No significant changes in topsoil carbon in the grasslands of Northern China between the 1980s and 2000s. The Science of the Total Environment, 2018, 624: 1478-1487. doi: S0048-9697(17)33688-4 pmid: 29929258
[11]	WIESMEIER M, URBANSKI L, HOBLEY E, LANG B, VON LÜTZOW M, MARIN-SPIOTTA E, VAN WESEMAEL B, RABOT E, LIEß M, GARCIA-FRANCO N, WOLLSCHLÄGER U, VOGEL H J, KÖGEL-KNABNER I. Soil organic carbon storage as a key function of soils - A review of drivers and indicators at various scales. Geoderma, 2019, 333: 149-162.
[12]	刘敏敏, 赵鸿彬, 张圣微, 叶德成, 林汐, 赵星宇, 王帅. 放牧到禁牧对草地土壤有机碳累积及其主控因子的影响. 生态学报, 2023, 43(21): 8739-8748.
	LIU M M, ZHAO H B, ZHANG S W, YE D C, LIN X, ZHAO X Y, WANG S. Change of soil organic carbon accumulation in grasslands and main control factors from grazing to prohibition of grazing. Acta Ecologica Sinica, 2023, 43(21): 8739-8748. (in Chinese)
[13]	丁金梅, 王维珍, 米文宝, 侯凯元, 张喜旺, 赵亚楠, 文琦. 宁夏草地土壤有机碳空间特征及其影响因素. 生态学报, 2023, 43(5): 1913-1922.
	DING J M, WANG W Z, MI W B, HOU K Y, ZHANG X W, ZHAO Y N, WEN Q. Spatial characteristics of soil organic carbon in grassland of Ningxia and its influencing factors. Acta Ecologica Sinica, 2023, 43(5): 1913-1922. (in Chinese)
[14]	张维理, KOLBE H, 张认连. 土壤有机碳作用及转化机制研究进展. 中国农业科学, 2020, 53(2): 317-331. doi: 10.3864/j.issn.0578-1752.2020.02.007.
	ZHANG W L, KOLBE H, ZHANG R L. Research progress of SOC functions and transformation mechanisms. Scientia Agricultura Sinica, 2020, 53(2): 317-331. doi: 10.3864/j.issn.0578-1752.2020.02.007. (in Chinese)
[15]	萨茹拉, 李金祥, 侯向阳. 草地生态系统土壤有机碳储量及其分布特征. 中国农业科学, 2013, 46(17): 3604-3614. doi: 10.3864/j.issn.0578-1752.2013.17.009.
	SA R L, LI J X, HOU X Y. Research on soil organic carbon storage distribution in the grassland ecosystem. Scientia Agricultura Sinica, 2013, 46(17): 3604-3614. doi: 10.3864/j.issn.0578-1752.2013.17.009. (in Chinese)
[16]	ZHANG X Y, LIU M Z, ZHAO X, LI Y Q, ZHAO W, LI A, CHEN S, CHEN S P, HAN X G, HUANG J H. Topography and grazing effects on storage of soil organic carbon and nitrogen in the Northern China grasslands. Ecological Indicators, 2018, 93: 45-53.
[17]	WEI J B, XIAO D N, ZHANG X Y, LI X Y. Topography and land use effects on the spatial variation of soil organic carbon: a case study in a typical small watershed of the black soil region in northeast China. Eurasian Soil Science, 2008, 41(1): 39-47.
[18]	XU L J, YE L M, NIE Y Y, YANG G X, XIN X P, YUAN B, YANG X F. Sown alfalfa pasture decreases grazing intensity while increasing soil carbon: experimental observations and DNDC model predictions. Frontiers in Plant Science, 2022, 13: 1019966.
[19]	POEPLAU C. Grassland soil organic carbon stocks along management intensity and warming gradients. Grass and Forage Science, 2021, 76(2): 186-195.
[20]	王云英, 裴薇薇, 辛莹, 郭小伟, 杜岩功. 2008—2015年高寒草甸土壤有机碳变化特征及影响因素解析. 中国草地学报, 2021, 43(12): 47-54.
	WANG Y Y, PEI W W, XIN Y, GUO X W, DU Y G. Change characteristics and influencing factors of soil organic carbon in alpine meadow from 2008 to 2015. Chinese Journal of Grassland, 2021, 43(12): 47-54. (in Chinese)
[21]	蔡晓布, 周进. 退化高寒草原土壤有机碳时空变化及其与土壤物理性质的关系. 应用生态学报, 2009, 20(11): 2639-2645.
	CAI X B, ZHOU J. Spatial-temporal variation of soil organic carbon and its relations to soil physical properties in degraded alpine grasslands. Chinese Journal of Applied Ecology, 2009, 20(11): 2639-2645. (in Chinese)
[22]	SMITH P, CHAPMAN S J, SCOTT W A, BLACK H I J, WATTENBACH M, MILNE R, CAMPBELL C D, LILLY A, OSTLE N, LEVY P E, LUMSDON D G, MILLARD P, TOWERS W, ZAEHLE S, SMITH J U. Climate change cannot be entirely responsible for soil carbon loss observed in England and Wales, 1978-2003. Global Change Biology, 2007, 13(12): 2605-2609.
[23]	WANG Y F, LÜ W W, XUE K, WANG S P, ZHANG L R, HU R H, ZENG H, XU X L, LI Y M, JIANG L L, HAO Y B, DU J Q, SUN J P, TSECHOE D, PIAO S L, WANG C H, LUO C Y, ZHANG Z H, CHANG X F, ZHANG M M, HU Y G, WU T H, WANG J Z, LI B W, LIU P P, ZHOU Y, WANG A, DONG S K, ZHANG X ZH, GAO Q Z, ZHOU H K, SHEN M G, ANDREAS W, GEORG M, ZHAO X Q, NIU H S. Grassland changes and adaptive management on the Qinghai-Tibetan Plateau. Nature Reviews Earth & Environment, 2022, 3: 668-683.
[24]	李娜, 赵娜, 王娅琳, 魏琳, 张骞, 郭同庆, 王循刚, 徐世晓. 高寒人工草地不同植被类型下表层土壤有机碳和无机碳变化及土壤理化因子. 草地学报, 2023, 31(8): 2361-2368. doi: 10.11733/j.issn.1007-0435.2023.08.012
	LI N, ZHAO N, WANG Y L, WEI L, ZHANG Q, GUO T Q, WANG X G, XU S X. Variation of organic and inorganic carbon in topsoil and physicochemical factors under different artificial grasslands in alpine region. Acta Agrestia Sinica, 2023, 31(8): 2361-2368. (in Chinese) doi: 10.11733/j.issn.1007-0435.2023.08.012
[25]	XIONG Q L, XIAO Y, HALMY M W A, DAKHIL M A, LIANG P H, LIU C G, ZHANG L, PANDEY B, PAN K W, EL KAFRAWAY S B, CHEN J. Monitoring the impact of climate change and human activities on grassland vegetation dynamics in the northeastern Qinghai-Tibet Plateau of China during 2000-2015. Journal of Arid Land, 2019, 11(5): 637-651.
[26]	WANG L P, WANG X A, WANG D Y, QI B S, ZHENG S F, LIU H J, LUO C, LI H X, MENG L H, MENG X T, WANG Y H. Spatiotemporal changes and driving factors of cultivated soil organic carbon in northern China’s typical agro-pastoral ecotone in the last 30 years. Remote Sensing, 2021, 13(18): 3607.
[27]	OLAYA-ABRIL A, PARRAS-ALCÁNTARA L, LOZANO-GARCÍA B, OBREGÓN-ROMERO R. Soil organic carbon distribution in Mediterranean areas under a climate change scenario via multiple linear regression analysis. Science of the Total Environment, 2017, 592: 134-143.
[28]	CASTALDI F, CHABRILLAT S, CHARTIN C, GENOT V, JONES A R, VAN WESEMAEL B. Estimation of soil organic carbon in arable soil in Belgium and Luxembourg with the LUCAS topsoil database. European Journal of Soil Science, 2018, 69(4): 592-603.
[29]	TAGHIZADEH-MEHRJARDI R, NABIOLLAHI K, KERRY R. Digital mapping of soil organic carbon at multiple depths using different data mining techniques in Baneh region, Iran. Geoderma, 2016, 266: 98-110.
[30]	NABIOLLAHI K, ESKANDARI S, TAGHIZADEH-MEHRJARDI R, KERRY R, TRIANTAFILIS J. Assessing soil organic carbon stocks under land-use change scenarios using random forest models. Carbon Management, 2019, 10(1): 63-77.
[31]	唐华俊, 叶立明. 土地生产潜力方法论比较研究. 北京: 中国农业科技出版社, 1997.
	TANG H J, YE L M. Comparative Study Of Land Production Potential Methodologies. Beijing: China Agricultural Science and Technology Press, 1997. (in Chinese)
[32]	VILLOSLADA M, SIPELGAS L, BERGAMO T F, WARD R D, REINTAM E, ASTOVER A, KUMPULA T, SEPP K. Multi-source remote sensing data reveals complex topsoil organic carbon dynamics in coastal wetlands. Ecological Indicators, 2022, 143: 109329.
[33]	MALLICK J, AHMED M, ALQADHI S D, FALQI I I, PARAYANGAT M, SINGH C K, RAHMAN A, IJYAS T. Spatial stochastic model for predicting soil organic matter using remote sensing data. Geocarto International, 2022, 37(2): 413-444.
[34]	康烈年, 徐金城, 谭跃. 呼伦贝尔盟土壤. 呼和浩特: 内蒙古人民出版社, 1992.
	KANG L N, XU J C, TAN Y. Hulunbuir League Soil. Huhhot: Inner Mongolia People's Publishing House, 1992. (in Chinese)
[35]	WALKLEY A, BLACK I A. An examination of the degtjareff method for determining soil organic matter, and a proposed modification of the chromic acid titration method. Soil Science, 1934, 37(1): 29-38.
[36]	MUÑOZ-SABATER J, DUTRA E, AGUSTÍ-PANAREDA A, ALBERGEL C, ARDUINI G, BALSAMO G, BOUSSETTA S, CHOULGA M, HARRIGAN S, HERSBACH H, MARTENS B, MIRALLES D G, PILES M, RODRÍGUEZ-FERNÁNDEZ N J, ZSOTER E, BUONTEMPO C, THÉPAUT J N. ERA5-Land: a state-of-the-art global reanalysis dataset for land applications. Earth System Science Data, 2021, 13(9): 4349-4383.
[37]	CHANG X F, BAO X Y, WANG S P, WILKES A, ERDENETSETSEG B, BAIVAL B, AVAADORJ D O, MAISAIKHAN T, DAMDINSUREN B. Simulating effects of grazing on soil organic carbon stocks in Mongolian grasslands. Agriculture, Ecosystems & Environment, 2015, 212: 278-284.
[38]	UNEP. World Atlas of Desertification. London, Great Britain: British Library Cataloguing in Publication Data, 1992.
[39]	ROBERT J H. terra: Spatial Data Analysis. R package version 1.7-18. https://CRAN.R-project.org/package=terra 2023.
[40]	闫瑞瑞, 高娃, 沈贝贝, 张宇, 王淼, 朱晓昱, 辛晓平. 草甸草原放牧场退化定量评估指标体系建立. 中国农业科学, 2021, 54(15): 3343-3354. doi: 10.3864/j.issn.0578-1752.2021.15.017.
	YAN R R, GAO W, SHEN B B, ZHANG Y, WANG M, ZHU X Y, XIN X P. Index system for quantitative evaluation of pasture degradation in meadow grassland of inner Mongolia. Scientia Agricultura Sinica, 2021, 54(15): 3343-3354. doi: 10.3864/j.issn.0578-1752.2021.15.017. (in Chinese)
[41]	WOOD S N. Thin plate regression splines. Journal of the Royal Statistical Society Series B: Statistical Methodology, 2003, 65(1): 95-114.
[42]	SIMON N W. Generalized Additive Models:An Introduction with R. 2nd ed. Boca Raton, FL, USA: CRC Press, 2017.
[43]	GRÖMPING U. Relative importance for linear regression inR: the packagerelaimpo. Journal of Statistical Software, 2006, 17(1): 1-27.
[44]	SEN P, LINDEMAN R, MERENDA P F, GOLD R Z. Introduction to bivariate and multivariate analysis. Journal of the American Statistical Association, 1981, 76: 752.
[45]	SMITH K R, WARING B G. Broad-scale patterns of soil carbon (C) pools and fluxes across semiarid ecosystems are linked to climate and soil texture. Ecosystems, 2019, 22(4): 742-753.
[46]	WU Y T, GUO Z W, LI Z Y, LIANG M W, TANG Y K, ZHANG J H, MIAO B L, WANG L X, LIANG C Z. The main driver of soil organic carbon differs greatly between topsoil and subsoil in a grazing steppe. Ecology and Evolution, 2022, 12(8): e9182. doi: 10.1002/ece3.9182 pmid: 35949532
[47]	PETER M, FRANCISKA T D V, JERRY R B T, ROGER S, SIMON R M, EMMA S P, KATE A H, DANIEL G W, HELEN Q, JOSEPH B, BILL S, JOHANNES H C C, JENS K, GERHARD B, CHRISTIAN W, RICHARD D B, BRIAN W. Simple measures of climate, soil properties and plant traits predict national-scale grassland soil carbon stocks. Journal of Applied Ecology, 2015, 52(5): 1188-1196.
[48]	LEE X Q, HUANG Y M, HUANG D K, HU L, FENG Z D, CHENG J Z, WANG B, NI J, SHURKHUU T. Variation of soil organic carbon and its major constraints in east central Asia. PLoS ONE, 2016, 11(3): e0150709.
[49]	ZHANG C Z, LI W, ZHAO Z H, ZHOU Y F, ZHANG J B, WU Q C. Spatiotemporal variability and related factors of soil organic carbon in Henan Province. Vadose Zone Journal, 2018, 17(1): 1-10.
[50]	ZHOU Y, HARTEMINK A E, SHI Z, LIANG Z Z, LU Y L. Land use and climate change effects on soil organic carbon in North and Northeast China. The Science of the Total Environment, 2019, 647: 1230-1238. doi: S0048-9697(18)32985-1 pmid: 30180331
[51]	YANG Y H, FANG J Y, MA W H, SMITH P, MOHAMMAT A, WANG S P, WANG W. Soil carbon stock and its changes in Northern China’s grasslands from 1980s to 2000s. Global Change Biology, 2010, 16(11): 3036-3047.
[52]	WANG X Y, LI Y Q, GONG X W, NIU Y Y, CHEN Y P, SHI X P, LI W, LIU J. Changes of soil organic carbon stocks from the 1980s to 2018in Northern China’s agro-pastoral ecotone. Catena, 2020, 194: 104722.
[53]	XU L J, LI D, WANG D, YE L M, NIE Y Y, FANG H J, XUE W, BAI C L, VAN RANST E. Achieving the dual goals of biomass production and soil rehabilitation with sown pasture on marginal cropland: evidence from a multi-year field experiment in Northeast Inner Mongolia. Frontiers in Plant Science, 2022, 13: 985864.
[54]	ZHANG Z P, DING J L, ZHU C M, WANG J J, LI X, GE X Y, HAN L J, CHEN X Y, WANG J Z. Exploring the inter-decadal variability of soil organic carbon in China. Catena, 2023, 230: 107242.
[55]	TANG K Y, LI F Y, JAESONG S, LIU Y, SUN T Y, LIU J Y, GAO X T, WANG Y Q. Soil water retention capacity surpasses climate humidity in determining soil organic carbon content but not plant production in the steppe zone of Northern China. Ecological Indicators, 2022, 141: 109129.
[56]	WANG M M, GUO X W, ZHANG S, XIAO L J, MISHRA U, YANG Y H, ZHU B, WANG G C, MAO X L, QIAN T, JIANG T, SHI Z, LUO Z K. Global soil profiles indicate depth-dependent soil carbon losses under a warmer climate. Nature Communications, 2022, 13: 5514. doi: 10.1038/s41467-022-33278-w pmid: 36127349
[57]	王鑫婧, 张美玲, 杨敏聪, 孙倩, 徐士博, 徐玉娟, 黄山枫, 高志文. 基于CENTURY模型的张掖草地土壤有机碳模拟及影响因素研究. 草地学报, 2023, 31(4): 1173-1185. doi: 10.11733/j.issn.1007-0435.2023.04.027
	WANG X J, ZHANG M L, YANG M C, SUN Q, XU S B, XU Y J, HUANG S F, GAO Z W. Simulation of soil organic carbon and analysis on its influencing factors in Zhangye grassland based on CENTURY model. Acta Agrestia Sinica, 2023, 31(4): 1173-1185. (in Chinese)
[58]	MITCHELL T D, JONES P D. An improved method of constructing a database of monthly climate observations and associated high- resolution grids. International Journal of Climatology, 2005, 25(6): 693-712.
[59]	MOHAMMAT A, WANG X H, XU X T, PENG L Q, YANG Y, ZHANG X P, MYNENI R B, PIAO S L. Drought and spring cooling induced recent decrease in vegetation growth in Inner Asia. Agricultural and Forest Meteorology, 2013, 178/179: 21-30.
[60]	WANG G Y, MAO J F, FAN L L, MA X X, LI Y M. Effects of climate and grazing on the soil organic carbon dynamics of the grasslands in Northern Xinjiang during the past twenty years. Global Ecology and Conservation, 2022, 34: e02039.
[61]	ROUSK J, HILL P W, JONES D L. Priming of the decomposition of ageing soil organic matter: concentration dependence and microbial control. Functional Ecology, 2015, 29(2): 285-296.
[62]	KOLÅS Å. Degradation discourse and green governmentality in the Xilinguole grasslands of inner Mongolia. Development and Change, 2014, 45(2): 308-328.
[63]	ROBINSON B E, LI P, HOU X Y. Institutional change in social-ecological systems: the evolution of grassland management in Inner Mongolia. Global Environmental Change, 2017, 47: 64-75.
[64]	李林芝, 马源, 张小燕, 海龙, 林栋, 张德罡, 张海涛. 不同退化程度高寒草甸土壤团聚体及其有机碳分布特征. 草地学报, 2023, 31(1): 210-219. doi: 10.11733/j.issn.1007-0435.2023.01.025
	LI L Z, MA Y, ZHANG X Y, HAI L, LIN D, ZHANG D G, ZHANG H T. Distribution characteristics of soil aggregates and its organic carbon with different degradation degrees in alpine meadow. Acta Agrestia Sinica, 2023, 31(1): 210-219. (in Chinese)
[65]	KEMP D R, HAN G D, HOU X Y, MICHALK D L, HOU F J, WU J P, ZHANG Y J. Innovative grassland management systems for environmental and livelihood benefits. Proceedings of the National Academy of Sciences of the United States of America, 2013, 110(21): 8369-8374.
[66]	LI X B, LYU X, DOU H S, DANG D L, LI S K, LI X, LI M Y, XUAN X J. Strengthening grazing pressure management to improve grassland ecosystem services. Global Ecology and Conservation, 2021, 31: e01782.
[67]	YAO Y T, WANG X H, LI Y, WANG T, SHEN M G, DU M Y, HE H L, LI Y N, LUO W J, MA M G, MA Y M, TANG Y H, WANG H M, ZHANG X Z, ZHANG Y P, ZHAO L, ZHOU G S, PIAO S L. Spatiotemporal pattern of gross primary productivity and its covariation with climate in China over the last thirty years. Global Change Biology, 2018, 24(1): 184-196. doi: 10.1111/gcb.13830 pmid: 28727222
[68]	CHANG J F, CIAIS P, GASSER T, SMITH P, HERRERO M, HAVLÍK P, OBERSTEINER M, GUENET B, GOLL D S, LI W, NAIPAL V, PENG S S, QIU C J, TIAN H Q, VIOVY N, YUE C, ZHU D. Climate warming from managed grasslands cancels the cooling effect of carbon sinks in sparsely grazed and natural grasslands. Nature Communications, 2021, 12: 118. doi: 10.1038/s41467-020-20406-7 pmid: 33402687
[69]	AHIRWAL J, NATH A, BRAHMA B, DEB S, SAHOO U K, NATH A J. Patterns and driving factors of biomass carbon and soil organic carbon stock in the Indian Himalayan region. Science of the Total Environment, 2021, 770: 145292.
[70]	张子胥, 于倚龙, 李永强, 焦树英, 董智, 韩国栋, 徐子云. 放牧强度对内蒙古荒漠草原土壤有机碳及其空间异质性的影响. 生态学报, 2021, 41(15): 6257-6266.
	ZHANG Z X, YU Y L, LI Y Q, JIAO S Y, DONG Z, HAN G D, XU Z Y. Effects of grazing intensity on soil organic carbon and its spatial heterogeneity in desert steppe of Inner Mongolia. Acta Ecologica Sinica, 2021, 41(15): 6257-6266. (in Chinese)
[71]	WYNN J G, BIRD M I, VELLEN L, GRAND-CLEMENT E, CARTER J, BERRY S L. Continental-scale measurement of the soil organic carbon pool with climatic, edaphic, and biotic controls. Global Biogeochemical Cycles, 2006, 20(1): 1-12.
[72]	HOBLEY E U, BALDOCK J, WILSON B. Environmental and human influences on organic carbon fractions down the soil profile. Agriculture, Ecosystems & Environment, 2016, 223: 152-166.
[73]	JUNGKUNST H F, GÖPEL J, HORVATH T, OTT S, BRUNN M. Global soil organic carbon-climate interactions: why scales matter. WIREs Climate Change, 2022, 13(4): 1-17.
[74]	ZHANG Y, LI P, LIU X J, XIAO L, LI T B, WANG D J. The response of soil organic carbon to climate and soil texture in China. Frontiers of Earth Science, 2022, 16(4): 835-845. doi: 10.1007/s11707-021-0940-7

变量 Variable		系数 Coefficient	标准误 Standard error	t值 t-value	P值 P-value
截距 Intercept		-1.528e+03	5.152e+02	-2.965	<0.001 **
分类变量 Categorical variables
利用强度 Utilization intensity	G1	6.971	2.615	2.666	0.017 *
	G2	5.106	2.425	2.105	0.050 ．
	G0	8.366	2.528	3.310	0.004 **
连续变量 Continuous variables
地形景观 Landscape index	Slope	7.029	1.410	4.980	<0.001 ***
气候因子 Climatic factor	PET	3.856	2.992	2.872	0.009 **
	PET2	-3.204e-03	1.066e-03	-3.005	0.008 **
	PET3	8.807e-07	2.921e-07	3.015	0.008 **

变量 Variable		系数 Coefficient	标准误差 Standard error	t值 t-value	P值 P-value
截距 Intercept		-54.987	15.437	4.153	0.004 **
分类变量 Categorical variable
利用强度 Utilization intensity	G1	19.095	4.597	2.666	0.001 **
	G2	19.035	4.924	3.866	0.002 **
	G3	27.668	4.831	5.727	0.002 **
连续变量 Continuous variable
地形因子 Landscape index	Elevation	0.079	0.021	3.859	0.002 **
气候因子 Climatic factor		有效自由度 edf	参考自由度 Ref.df	F值 F-value	P值 P-value
	s(MAT)	7.330	8.035	8.390	<0.001 ***
	S(MAA)	6.852	7.680	2.966	0.029 *

排序 Ranking	来源 Source	指标 Index	地区 Location	RMSE (g·kg^-1)	MAE (g·kg^-1)	MAPE (%)	R²
1	本研究（2022年） This study is in 2022	SOC	中国 China	1.90	1.47	14.44	0.92
2	SMITH et al.^[45] (2019)	SOC	美国 Amican	0.95	0.62	61.51	0.57
3	WU et al.^[46] (2022)	SOC	中国 Chna	1.66	1.35	8.86	0.18
4	PETER et al.^[47] (2015)	SOC	英国 UK	1.59	1.17	28.88	0.35
5	LEE et al.^[48] (2016)	SOC	蒙古国 Mongolia	12.37	8.48	3.27	0.58
6	本研究（1980年） This study is in 1980	SOC	中国China	3.20	2.61	20.08	0.77
7	ZHANG et al.^[49] (2018)	SOC	中国China	3.09	2.34	30.51	0.11

影响呼伦贝尔草原土壤有机碳空间变异的主导因素

Study on Dominant Factors Affecting Spatial Variation of Soil Organic Carbon in Hulunbuir Grassland

RichHTML

PDF

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 8

参考文献 74

相关文章 15

Metrics

本文评价

推荐阅读 0

	MAT	MAT²	MAP	MAA	PET	PET²	PET³
本研究（2022） This study is in 2022	***	NA	NA	*	NA	NA	NA
本研究（1980） This study is in 1980	NA	NA	NA	NA	3.856**	-0.003**	8.81e-07**
英国（2015） UK（2015）^[47]	-10.680***	0.612***	NA	NA	NA	NA	NA
中国内蒙古（2022） Inner Mongolia, China（2022）^[46]	1.240*	NA	0.0122	NA	NA	NA	NA
美国（2018） America（2018）^[45]	-0.109	NA	0.0141***	NA	NA	NA	NA
蒙古国（2016） Mongolia（2016）^[48]	-0.962	NA	0.006	0.725***	NA	NA	NA

[1]	李星宇, 黄容, 鲜一鸣, 田娇娇, 马晓瑾, 杨乔茜, 李冰, 王昌全. 稻田土壤不同粒级团聚体有机碳组分及CO₂排放对长期施肥的响应[J]. 中国农业科学, 2026, 59(6): 1255-1271.
[2]	魏圆慧, 余益辉, 李子钧, 丁文杰, 涂文龙, 毛艳玲. 长期施肥对黄泥田土壤有机碳化学结构与固碳细菌群落结构的影响[J]. 中国农业科学, 2026, 59(5): 1020-1033.
[3]	罗伟, 余洪, 袁立新, 王玲玲, 赵金鹏, 殷伟, 王明田, 王茹琳. 全球气候变化背景下川渝地区再生稻地理分布格局变迁[J]. 中国农业科学, 2026, 59(4): 765-780.
[4]	张昊鑫, 于晟玥, 雷秋良, 杜新忠, 张继宗, 安妙颖, 樊秉乾, 罗加法, 刘宏斌. 基于RothC模型的东北旱地和稻田土壤有机碳动态变化模拟研究[J]. 中国农业科学, 2025, 58(8): 1564-1578.
[5]	吴欣珈, 薛玮, 严翊丹, 聂莹莹, 叶立明, 徐丽君. 呼伦贝尔土壤有机碳时空变异特征及其影响因素[J]. 中国农业科学, 2025, 58(6): 1145-1158.
[6]	史帆, 李文广, 易树生, 杨娜, 陈玉萌, 郑伟, 张雪辰, 李紫燕, 翟丙年. 有机无机肥配施下旱地麦田土壤有机碳组分含量的变化特征[J]. 中国农业科学, 2025, 58(4): 719-732.
[7]	张方方, 宋启龙, 高娜, 白炬, 李阳, 岳善超, 李世清. 长期覆盖对黄土高原春玉米产量、土壤碳氮组分和碳氮库相关指数的影响[J]. 中国农业科学, 2025, 58(3): 507-519.
[8]	马鹤逍, 葛国龙, 张向前, 路战远, 王满秀, 戎美仁, 师晶晶, 张德健, 孙雪萍. 不同作物轮作系统对土壤易氧化有机碳和碳库活度差异性的影响[J]. 中国农业科学, 2025, 58(24): 5201-5215.
[9]	赵瀚洋, 李奕宏, 许曙光, 吴跃民, 吴圣勇. 新型驱虫网对豆大蓟马的防控效果和对田间小气候的影响[J]. 中国农业科学, 2025, 58(21): 4393-4404.
[10]	于茹, 李玉义, 曹巨峰, 马俊, 常芳弟, 宋佳珅, 张宏媛, 李晓彬, 李浩若, 张华, 王婧. 施肥管理对麦后复种绿肥盐碱土碳组分与小麦产量的影响[J]. 中国农业科学, 2025, 58(20): 4189-4202.
[11]	靳晓莹, 肖柄政, 张天津, 刘忠宽, 冯伟, 杜章留. 冬绿肥提升滨海盐碱土团聚性及植物源与微生物源有机碳固存[J]. 中国农业科学, 2025, 58(20): 4203-4215.
[12]	吴勇, 文雪, 王天舒, 黄炎炎, 孟熠黎, 姜红宇, 毕利东, 吴会军, 尧水红. 黑土区坡耕地地形因子和垄作方式对土壤养分和肥力指数的影响[J]. 中国农业科学, 2025, 58(18): 3676-3689.
[13]	卢怡宁, 谷晓博, 杜娅丹, 李晓雁, 延廷霖, 赵彤彤. 保护性耕作和施氮促进土壤碳氮矿化提高玉米光合特性和产量[J]. 中国农业科学, 2025, 58(15): 3051-3063.
[14]	马玉洁, 李旭, 翟英芳, 李敬宇, 付鑫, 彭正萍. 秸秆还田方式和施氮量对土壤有机碳组分及酶活性的影响[J]. 中国农业科学, 2025, 58(12): 2397-2410.
[15]	郭世博, 张镇涛, 郭尔静, 赵锦, 刘志娟, 赵闯, 杨晓光. 全球气候变暖对中国种植制度的可能影响XV.适应未来气候变化的我国油料作物种植布局调整[J]. 中国农业科学, 2025, 58(11): 2118-2144.