陕西省土壤无机碳的时空分布特征及影响因素

doi:10.3864/j.issn.0578-1752.2024.08.008

中国农业科学 ›› 2024, Vol. 57 ›› Issue (8): 1517-1532.doi: 10.3864/j.issn.0578-1752.2024.08.008

• 土壤肥料·节水灌溉·农业生态环境 • 上一篇下一篇

陕西省土壤无机碳的时空分布特征及影响因素

冯晓琳¹(), 张楚天¹, 许晨阳¹^,²(), 耿增超¹^,²(), 胡斐南³^,⁴, 杜伟¹^,²

¹ 西北农林科技大学资源环境学院，陕西杨凌712100
² 西北农林科技大学西北农业农村部植物营养与农业环境重点实验室，陕西杨凌 712100
³ 西北农林科技大学黄土高原土壤侵蚀与旱地农业国家重点实验室，陕西杨凌 712100
⁴ 中国科学院水利部水土保持研究所，陕西杨凌 712100

收稿日期:2023-05-30 接受日期:2023-07-17 出版日期:2024-04-16 发布日期:2024-04-24
通信作者:
许晨阳，E-mail：xuchenyang@nwafu.edu.cn。
耿增超，E-mail：gengzengchao@126.com
联系方式: 冯晓琳，E-mail：fxl20170901@163.com。
基金资助:
国家自然科学基金(41701261); 陕西省自然科学基金(2023-JC-YB-263); 中央高校基本科研业务费(2452020165)

Spatiotemporal Distribution Characteristics and Influencing Factors of Soil Inorganic Carbon in Shaanxi Province

FENG XiaoLin¹(), ZHANG ChuTian¹, XU ChenYang¹^,²(), GENG ZengChao¹^,²(), HU FeiNan³^,⁴, DU Wei¹^,²

¹ College of Natural Resources and Environment, Northwest A&F University, Yangling 712100, Shaanxi
² Key Laboratory of Plant Nutrition and the Agri-environment in Northwest China, Ministry of Agriculture and Rural Affairs, Northwest A&F University, Yangling 712100, Shaanxi
³ State Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Northwest A&F University, Yangling 712100, Shaanxi
⁴ Institute of Soil and Water Conservation, Chinese Academy of Sciences & Ministry of Water Resources, Yangling 712100, Shaanxi

Received:2023-05-30 Accepted:2023-07-17 Published:2024-04-16 Online:2024-04-24

摘要/Abstract

摘要：

【目的】土壤无机碳对于调节全球碳循环有重要作用，然而我国区域尺度上土壤无机碳的分布特征及影响因素尚不明确。对陕西省土壤无机碳时空分布和关键影响因子进行研究可为明确无机碳在陆地生态系统碳循环中的作用和地位提供参考和依据。【方法】收集陕西省1980s和2010s两期的65个和142个土壤样本以及相关的地形因素、气候条件、土地利用类型、植被状况和土壤性质数据，采用方差分析和随机森林（Random Forest，RF）模型分析土壤无机碳含量的时间和空间分布特征，并探讨土壤无机碳含量变化的影响因素。【结果】陕西省1980s各区域的土壤无机碳含量表现为：陕北>关中>陕南；与1980s相比，2010s陕北土壤无机碳含量下降了31.5%，关中地区基本保持不变，陕南小幅度上升。1980s到2010s，0—100 cm剖面上不同土层无机碳含量的降幅范围为20.6%—27.7%，其中以0—20和80—100 cm土层降幅最大。随机森林模型分析表明，年平均降水量、容重、pH是影响1980s和2010s土壤无机碳含量变化的重要因素，在年平均降水量450—650 mm时土壤无机碳含量最高；土壤无机碳含量随着pH的增加而增加；低容重土壤无机碳含量高于高容重土壤。【结论】总体来看，陕西省土壤无机碳含量呈现从北向南逐渐降低的趋势。与1980s相比，2010s陕西省表层土壤和陕北地区整个土壤剖面无机碳含量显著下降，1980s和2010s陕西省土壤无机碳含量主要受年平均降水量、pH、容重的调控。

关键词: 土壤无机碳, 时空分布, 随机森林模型, 陕西省

Abstract:

【Objective】Soil inorganic carbon (SIC) plays an important role in regulating global carbon cycle. However, the distribution characteristics and influencing factors of SIC at regional scales are not clear. The study on the temporal and spatial distribution of SIC and its key influencing factors in Shaanxi Province can provide the reference and basis for clarifying the role and status of inorganic carbon in the terrestrial ecosystem carbon cycle. 【Method】This study collected 65 and 142 soil samples from the 1980s and 2010s in Shaanxi Province, along with relevant data on geographical factors, climatic conditions, land use types, vegetation status and soil properties. Variance analysis and Random Forest (RF) model were used to analyze the temporal and spatial distribution characteristics of SIC content. The influencing factors of SIC content in Shaanxi Province were also discussed. 【Result】SIC content in the 1980s of Shaanxi Province was in the order of Northern Shaanxi > Guanzhong of Shaanxi > Southern Shaanxi. Compared with the 1980s, SIC content in Northern Shaanxi Province was decreased by 31.5% in 2010s, while it remained almost unchanged in Guanzhong of Shaanxi Province, which increased slightly in southern Shaanxi Province. From the 1980s to 2010s, the decrease of inorganic carbon content in different soil layers in 0-100 cm section ranged from 20.6% to 27.7%, with the greatest decreases in 0-20 cm and 80-100 cm soil layers. Random Forest model analysis showed that average annual rainfall, bulk density and pH were the top three most important factors affecting SIC content in both 1980s and 2010s, and SIC content was the highest when the average annual rainfall were 450-650 mm. Soil inorganic carbon content increased with the increase of pH. The inorganic carbon content of soil with low bulk density was higher than that of soil with high bulk density. 【Conclusion】In general, SIC content in Shaanxi Province showed a decreasing trend from north to south. Compared with the 1980s, SIC content in topsoil of Shannxi Province and also the whole soil profile of northern Shaanxi Province decreased significantly in the 2010s. The SIC content in the 1980s and 2010s were mainly influenced by average annual rainfall, pH and bulk density.

Key words: soil inorganic carbon (SIC), spatiotemporal distribution, Random Forest model, Shaanxi Province

冯晓琳, 张楚天, 许晨阳, 耿增超, 胡斐南, 杜伟. 陕西省土壤无机碳的时空分布特征及影响因素[J]. 中国农业科学, 2024, 57(8): 1517-1532.

FENG XiaoLin, ZHANG ChuTian, XU ChenYang, GENG ZengChao, HU FeiNan, DU Wei. Spatiotemporal Distribution Characteristics and Influencing Factors of Soil Inorganic Carbon in Shaanxi Province[J]. Scientia Agricultura Sinica, 2024, 57(8): 1517-1532.

0
/ / 推荐

导出引用管理器 EndNote|Reference Manager|ProCite|BibTeX|RefWorks

链接本文: https://www.chinaagrisci.com/CN/10.3864/j.issn.0578-1752.2024.08.008

https://www.chinaagrisci.com/CN/Y2024/V57/I8/1517

图/表 10

图1

图2

表1

图3

图4

图5

图6

图7

图8

图9

参考文献 41

[1]	YANG P P, SHU Q, LIU Q, HU Z, ZHANG S J, MA Y Y. Distribution and factors influencing organic and inorganic carbon in surface sediments of tidal flats in northern Jiangsu, China. Ecological Indicators, 2021, 126: 107633. doi: 10.1016/j.ecolind.2021.107633
[2]	LAL R. Digging deeper: a holistic perspective of factors affecting soil organic carbon sequestration in agroecosystems. Global Change Biology, 2018, 24(8): 3285-3301. doi: 10.1111/gcb.14054 pmid: 29341449
[3]	TRUMBORE S E, CZIMCZIK C I. An uncertain future for soil carbon. Science, 2008, 321(5895): 1455-1456. doi: 10.1126/science.1160232
[4]	EMMERICH W E. Carbon dioxide fluxes in a semiarid environment with high carbonate soils. Agricultural and Forest Meteorology, 2003, 116(1/2): 91-102. doi: 10.1016/S0168-1923(02)00231-9
[5]	ZHANG G L, BAI J H, ZHAO Q Q, JIA J, WANG X, WANG W, WANG X Y. Soil carbon storage and carbon sources under different Spartina alterniflora invasion periods in a salt marsh ecosystem. CATENA, 2021, 196: 104831. doi: 10.1016/j.catena.2020.104831
[6]	BOWMAN W D, CLEVELAND C C, HALADA Ĺ, HREŠKO J, BARON J S. Negative impact of nitrogen deposition on soil buffering capacity. Nature Geoscience, 2008, 1(11): 767-770. doi: 10.1038/ngeo339
[7]	许文强, 陈曦, 罗格平, 蔺卿. 土壤碳循环研究进展及干旱区土壤碳循环研究展望. 干旱区地理, 2011, 34(4): 614-620.
	XU W Q, CHEN X, LUO G P, LIN Q. Progress of research on soil carbon cycle and perspectives of soil carbon cycle in arid region. Arid Land Geography, 2011, 34(4): 614-620. (in Chinese)
[8]	LAL R. Soil carbon dynamics in cropland and rangeland. Environmental Pollution, 2002, 116(3): 353-362. pmid: 11822713
[9]	HUSSAIN S, SHARMA V, ARYA V M, SHARMA K R, RAO C S. Total organic and inorganic carbon in soils under different land use/land cover systems in the foothill Himalayas. Catena, 2019, 182: 104104. doi: 10.1016/j.catena.2019.104104
[10]	QUIJANO L, KUHN N J, NAVAS A. Effects of interrill erosion on the distribution of soil organic and inorganic carbon in different sized particles of Mediterranean Calcisols. Soil and Tillage Research, 2020, 196: 104461. doi: 10.1016/j.still.2019.104461
[11]	涂夏明, 曹军骥, 韩永明, 沈振兴, 张宝成. 黄土高原表土有机碳和无机碳的空间分布及碳储量. 干旱区资源与环境, 2012, 26(2): 114-118.
	TU X M, CAO J J, HAN Y M, SHEN Z X, ZHANG B C. Storage and spatial distribution of organic and inorganic carbon in the topsoil of Loess Plateau. Journal of Arid Land Resources and Environment, 2012, 26(2): 114-118. (in Chinese)
[12]	党珍珍, 王凯博, 周正朝, 张晓艳. 黄土丘陵区人工刺槐林恢复对土壤碳库动态的影响. 干旱区研究, 2015, 32(6): 1082-1087.
	DANG Z Z, WANG K B, ZHOU Z C, ZHANG X Y. Impact of Robinia pseudoacacia restoration on soil carbon pool in the loess hilly region. Arid Zone Research, 2015, 32(6): 1082-1087. (in Chinese)
[13]	张力. 黄土丘陵沟壑区不同植被恢复下土壤有机碳和无机碳动态变化研究[D]. 北京: 中国科学院大学 (中国科学院教育部水土保持与生态环境研究中心), 2018.
	ZHANG L. The dynamic of soil organic and inorganic carbon in soil under different vegetation restoration in Loess Hilly and Gully Region[D]. Beijing: University of Chinese Academy of Sciences (Research Center of Soil and Water Conservation and Ecological Environment of The University of Chinese Academy of Sciences and Ministry of Education), 2018. (in Chinese)
[14]	陕西省统计局, 国家统计局陕西调查总队. 陕西统计年鉴-2022. 北京: 中国统计出版社, 2022.
	Shaanxi Provincial Bureau of Statistics. Survey Office of the National Bureau of Statistics in Shaanxi. Shaanxi Statistical Yearbook. Beijing: China Statistics Press, 2022. (in Chinese)
[15]	陕西省土壤普查办公室. 陕西土种志. 西安: 陕西科学技术出版社, 1993.
	Soil Census Office of Shaanxi Province. History of Shaanxi Soil Species. Xian: Shaanxi Science and Technology Press, 1993. (in Chinese)
[16]	郭兆元, 黄自立, 冯立孝. 陕西土壤. 北京: 科学出版社, 1992.
	GUO Z Y, HUANG Z L, FENG L X. Soil in Shaanxi. Beijing: Science Press, 1992. (in Chinese)
[17]	常庆瑞, 齐雁冰, 刘梦云. 中国土系志·陕西卷. 北京: 科学出版社, 2021.
	CHANG Q R, QI Y B, LIU M Y. Soil History of China·Shaanxi Volume. Beijing: Science Press, 2021. (in Chinese)
[18]	姜赛平, 张认连, 张维理, 徐爱国, 张怀志, 谢良商, 冀宏杰. 近30年海南岛土壤有机质时空变异特征及成因分析. 中国农业科学, 2019, 52(6): 1032-1044. doi: 10.3864/j.issn.0578-1752.2019.06.007.
	JIANG S P, ZHANG R L, ZHANG W L, XU A G, ZHANG H Z, XIE L S, JI H J. Spatial and temporal variation of soil organic matter and cause analysis in Hainan Island in resent 30 years. Scientia Agricultura Sinica, 2019, 52(6): 1032-1044. doi: 10.3864/j.issn.0578-1752.2019.06.007. (in Chinese)
[19]	SHANGGUAN W, DAI Y J, LIU B Y, ZHU A X, DUAN Q Y, WU L Z, JI D Y, YE A Z, YUAN H A, ZHANG Q A, CHEN D D, CHEN M, CHU J T, DOU Y J, GUO J X, LI H Q, LI J J, LIANG L, LIANG X A, LIU H P, LIU S Y, MIAO C Y, ZHANG Y Z. A China data set of soil properties for land surface modeling. Journal of Advances in Modeling Earth Systems, 2013, 5(2): 212-224. doi: 10.1002/jame.v5.2
[20]	申哲, 张认连, 龙怀玉, 徐爱国. 基于机器学习方法的宁夏南部土壤质地空间分布研究. 中国农业科学, 2022, 55(15): 2961-2972. doi: 10.3864/j.issn.0578-1752.2022.15.008.
	SHEN Z, ZHANG R L, LONG H Y, XU A G. Research on spatial distribution of soil texture in southern Ningxia based on machine learning. Scientia Agricultura Sinica, 2022, 55(15): 2961-2972. doi: 10.3864/j.issn.0578-1752.2022.15.008. (in Chinese)
[21]	郭洋, 李香兰, 王秀君, 王家平, 王旭峰, 马明国, 谢先红, 孙敏敏. 干旱半干旱区农田土壤碳垂直剖面分布特征研究. 土壤学报, 2016, 53(6): 1433-1443.
	GUO Y, LI X L, WANG X J, WANG J P, WANG X F, MA M G, XIE X H, SUN M M. Profile distribution of soil inorganic and organic carbon in farmland in arid and semi-arid areas of China. Acta Pedologica Sinica, 2016, 53(6): 1433-1443. (in Chinese)
[22]	张瑞. 黄土高原土壤无机碳密度分布、储量及影响因素[D]. 北京: 中国科学院大学 (中国科学院教育部水土保持与生态环境研究中心), 2012.
	ZHANG R. Spatial distribution of soil inorganic carbon density, stock and its affecting factors in the Loess plateau[D]. Beijing: University of Chinese Academy of Sciences (Research Center for Soil and Water Conservation and Ecological Environment of the University of Chinese Academy of Sciences and Ministry of Education), 2012. (in Chinese)
[23]	潘根兴. 中国干旱性地区土壤发生性碳酸盐及其在陆地系统碳转移上的意义. 南京农业大学学报, 1999, 22(1): 51-57.
	PAN G X. Pedogenic carbonates in aridic soils of China and the significance in terrestrial carbon transfer. Journal of Nanjing Agricultural University, 1999, 22(1): 51-57. (in Chinese)
[24]	SHI H J, WANG X J, ZHAO Y J, XU M G, LI D W, GUO Y. Relationship between soil inorganic carbon and organic carbon in the wheat-maize cropland of the North China Plain. Plant and Soil, 2017, 418(1): 423-436. doi: 10.1007/s11104-017-3310-1
[25]	TAO J J, RAZA S, ZHAO M Z, CUI J J, WANG P Z, SUI Y Y, ZAMANIAN K, KUZYAKOV Y, XU M G, CHEN Z J, ZHOU J B. Vulnerability and driving factors of soil inorganic carbon stocks in Chinese croplands. Science of the Total Environment, 2022, 825: 154087. doi: 10.1016/j.scitotenv.2022.154087
[26]	SONG X D, YANG F, WU H Y, ZHANG J, LI D C, LIU F, ZHAO Y G, YANG J L, JU B, CAI C F, HUANG B, LONG H Y, LU Y, SUI Y Y, WANG Q B, WU K N, ZHANG F R, ZHANG M K, SHI Z, MA W Z, XIN G, QI Z P, CHANG Q R, CI E, YUAN D G, ZHANG Y Z, BAI J P, CHEN J Y, CHEN J, CHEN Y J, DONG Y Z, HAN C L, LI L, LIU L M, PAN J J, SONG F P, SUN F J, WANG D F, WANG T W, WEI X H, WU H Q, ZHAO X, ZHOU Q, ZHANG G L. Significant loss of soil inorganic carbon at the continental scale. National Science Review, 2022, 9(2): 13-20.
[27]	MI N, WANG S Q, LIU J Y, YU G R, ZHANG W J, JOBBÁGY E. Soil inorganic carbon storage pattern in China. Global Change Biology, 2008, 14(10): 2380-2387. doi: 10.1111/gcb.2008.14.issue-10
[28]	SMITH P. Global climate change and pedogenic carbonates. Geoderma, 2001, 104(1/2): 180-182. doi: 10.1016/S0016-7061(01)00059-3
[29]	DANG C R, KONG F L, LI Y, JIANG Z X, XI M. Soil inorganic carbon dynamic change mediated by anthropogenic activities: an integrated study using meta-analysis and random forest model. Science of the Total Environment, 2022, 835: 155463. doi: 10.1016/j.scitotenv.2022.155463
[30]	YANG Y H, FANG J Y, JI C J, MA W H, SU S S, TANG Z Y. Soil inorganic carbon stock in the Tibetan alpine grasslands. Global Biogeochemical Cycles, 2010(4). doi: 10.1029/2010gb003804.
[31]	NORDT L C, WILDING L P, DREES L R. Pedogenic carbonate transformations in leaching soil system: implication for the global C cycle// LAL R, KIMBLE J M, ESWARAN H, STEWART B A. Global Climate Change and Pedogenic Carbonates. Boca Raton: CRC Press, 2000.
[32]	DU C J, GAO Y H. Opposite patterns of soil organic and inorganic carbon along a climate gradient in the alpine steppe of northern Tibetan Plateau. Catena, 2020, 186: 104366. doi: 10.1016/j.catena.2019.104366
[33]	崔丽峰, 刘丛强, 涂成龙, 李龙波, 丁虎. 黄土地区不同覆被下土壤无机碳分布及同位素组成特征. 生态学杂志, 2013, 32(5): 1187-1194.
	CUI L F, LIU C Q, TU C L, LI L B, DING H. Soil inorganic carbon and its isotopic composition under different vegetation types in Loess Plateau of Northwest China. Chinese Journal of Ecology, 2013, 32(5): 1187-1194. (in Chinese)
[34]	XIN Z B, QIN Y B, YU X X. Spatial variability in soil organic carbon and its influencing factors in a hilly watershed of the Loess Plateau, China. Catena, 2016, 137: 660-669. doi: 10.1016/j.catena.2015.01.028
[35]	CHANG R Y, FU B J, LIU G H, WANG S, YAO X L. The effects of afforestation on soil organic and inorganic carbon: a case study of the Loess Plateau of China. Catena, 2012, 95: 145-152. doi: 10.1016/j.catena.2012.02.012
[36]	WU H B, GUO Z T, GAO Q, PENG C H. Distribution of soil inorganic carbon storage and its changes due to agricultural land use activity in China. Agriculture, Ecosystems & Environment, 2009, 129(4): 413-421. doi: 10.1016/j.agee.2008.10.020
[37]	SERRANO-ORTIZ P, ROLAND M, SANCHEZ-MORAL S, JANSSENS I A, DOMINGO F, GODDÉRIS Y, KOWALSKI A S. Hidden, abiotic CO₂ flows and gaseous reservoirs in the terrestrial carbon cycle: review and perspectives. Agricultural and Forest Meteorology, 2010, 150(3): 321-329. doi: 10.1016/j.agrformet.2010.01.002
[38]	OBEAR G R, BARAK P, SOLDAT D J. Soil inorganic carbon accumulation in sand putting green soils II: acid-base relationships as affected by water chemistry and nitrogen source. Crop Science, 2016, 56(2): 851-861. doi: 10.2135/cropsci2015.06.0342
[39]	SUAREZ D L. Impact of agriculture on CO₂ as affected by changes in inorganic carbon//LAL R, KIMBLE J M, ESWARAN H, STEWART B A. Global Climate Change and Pedogenic Carbonates. Boca Raton: FloridaC RC Press, 2000: 257-272.
[40]	周建斌, 陶静静, 赵梦真, 崔娇娇, 刘占军, 陈竹君. 农业生产对石灰性土壤无机碳库损失的影响. 土壤学报, 2022, 59(3): 593-602.
	ZHOU J B, TAO J J, ZHAO M Z, CUI J J, LIU Z J, CHEN Z J. Effects of agricultural production on the loss of inorganic carbon from calcareous soils. Acta Pedologica Sinica, 2022, 59(3): 593-602. (in Chinese)
[41]	李小涵, 李富翠, 刘金山, 郝明德, 王朝辉. 长期施氮引起的黄土高原旱地土壤不同形态碳变化. 中国农业科学, 2014, 47(14): 2795-2803. doi: 10.3864/j.issn.0578-1752.2014.14.010.
	LI X H, LI F C, LIU J S, HAO M D, WANG Z H. Changes of different carbon fractions caused by long-term N fertilization in dryland soil of the Loess Plateau. Scientia Agricultura Sinica, 2014, 47(14): 2795-2803. doi: 10.3864/j.issn.0578-1752.2014.14.010. (in Chinese)

因子 Factor	时期 Period	最小值 Min	最大值 Max	平均值 Mean	标准差 SD	峰度 Kurtosis	偏度 Skewness	变异系数 CV（%）
土壤无机碳含量 SIC (g·kg^-1)	1980s	0.14	36.24	9.17	6.46	3.34	1.01	70.4
土壤无机碳含量 SIC (g·kg^-1)	2010s	0.14	29.62	6.88	6.19	0.88	0.97	90.0
海拔 Altitude (m)	1980s	256.00	2875.00	878.31	462.18	4.30	1.50	52.6
海拔 Altitude (m)	2010s	318.00	2499.00	908.74	413.67	0.70	0.83	46.0
坡度 Slope (°)	1980s	0.20	18.37	5.29	4.99	-0.45	0.95	94.4
坡度 Slope (°)	2010s	0.37	32.38	6.44	6.21	1.73	3.17	97.0
坡向 SD	1980s	0.00	349.79	157.06	93.21	-0.92	0.03	59.4
坡向 SD	2010s	6.34	357.88	166.63	105	0.32	-1.07	63.0
曲率 Curvature	1980s	-0.39	0.65	0.03	0.20	1.27	0.68	703.3
曲率 Curvature	2010s	-1.14	1.34	-0.04	0.28	-0.04	6.51	700.0
年平均降水量 MAP (mm)	1980s	373.31	1448.37	658.62	205.24	2.62	1.18	31.2
年平均降水量 MAP (mm)	2010s	337.06	993.64	645.23	170.67	0.28	-0.78	26.0
年平均温度 MAT (℃)	1980s	4.90	15.83	10.98	2.51	-0.83	-0.13	22.8
年平均温度 MAT (℃)	2010s	4.72	16.78	12.51	2.68	-0.20	-1.02	21.0
归一化植被指数 NDVI	1980s	0.28	0.97	0.64	0.24	0.05	-0.66	38.7
归一化植被指数 NDVI	2010s	0.19	0.88	0.63	0.16	-0.70	-0.40	26.0
容重 BD (g·cm^-3)	1980s	1.28	1.37	1.35	0.02	3.07	-1.60	1.4
容重 BD (g·cm^-3)	2010s	1.14	3.88	1.50	0.24	75.93	7.44	15.7
pH	1980s	6.1	9.2	8.1	0.63	1.77	-1.35	7.7
pH	2010s	5.7	9.9	8.3	0.73	1.68	-1.26	8.8

陕西省土壤无机碳的时空分布特征及影响因素

Spatiotemporal Distribution Characteristics and Influencing Factors of Soil Inorganic Carbon in Shaanxi Province

RichHTML

PDF

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 10

参考文献 41

相关文章 13

Metrics

本文评价

推荐阅读 0

[1]	曹鹏, 许建建, 李楚欣, 王新亮, 王春庆, 宋晨虎, 宋震. 柑橘黄化花叶病毒的实时定量PCR检测及其在寄主植株中的时空分布规律[J]. 中国农业科学, 2023, 56(18): 3574-3584.
[2]	熊淑萍, 高明, 张志勇, 秦步坛, 徐赛俊, 付新露, 王小纯, 马新明. 基于GIS的河南省小麦产量及产量构成要素时空差异分析[J]. 中国农业科学, 2022, 55(4): 692-706.
[3]	米晓田,石磊,何刚,王朝辉. 陕西省小农户作物生产的减肥潜力及经济效益评价[J]. 中国农业科学, 2021, 54(20): 4370-4384.
[4]	张振华,丁建丽,王敬哲,葛翔宇,王瑾杰,田美玲,赵启东. 集成土壤-环境关系与机器学习的干旱区土壤属性数字制图[J]. 中国农业科学, 2020, 53(3): 563-573.
[5]	丁怡博,徐家屯,李亮,蔡焕杰,孙亚楠. 基于SPEI和MI分析陕西省干旱特征及趋势变化[J]. 中国农业科学, 2019, 52(23): 4296-4308.
[6]	李世景, 徐萍, 张正斌, 卫云宗. 黄淮旱地冬小麦农艺性状与生育期气象因子的时空分布特征及互作关系[J]. 中国农业科学, 2019, 52(10): 1686-1697.
[7]	郭尔静，杨晓光，王晓煜，张天一，黄晚华，刘子琪，Tao Li. 湖南省双季稻产量差时空分布特征[J]. 中国农业科学, 2017, 50(2): 399-412.
[8]	赵双进, 唐晓东, 赵鑫, 冯燕, 赵聪聪, 张孟臣. 大豆开花落花及时空分布的观察研究[J]. 中国农业科学, 2013, 46(8): 1543-1554.
[9]	董朝阳1, 杨晓光1, 杨婕1, 解文娟12, 叶清13, 赵锦1, 李克南1. 中国北方地区春玉米干旱的时间演变特征和空间分布规律[J]. 中国农业科学, 2013, 46(20): 4234-4245.
[10]	王静, 杨晓光, 吕硕, 刘志娟, 李克南, 荀欣, 刘园, 王恩利. 黑龙江省春玉米产量潜力及产量差的时空分布特征[J]. 中国农业科学, 2012, 45(10): 1914-1925.
[11]	同延安, Ove Emteryd, 张树兰, 梁东丽. 陕西省氮肥过量施用现状评价[J]. 中国农业科学, 2004, 37(08): 1239-1239 .
[12]	许春霞, 李向民, 王星, 张一平. 陕西不同地区银杏叶能量及热解特性研究[J]. 中国农业科学, 2004, 37(06): 896-896 .
[13]	王振营,何康来,文丽萍,张广义,郑礼. 第四代棉铃虫卵在华北夏玉米田的时空分布[J]. 中国农业科学, 2001, 34(2): 153-156 .