西北干旱区藓类结皮覆盖下土壤多功能性特征及影响因子

doi:10.13866/j.azr.2024.05.09

干旱区研究 ›› 2024, Vol. 41 ›› Issue (5): 812-820.doi: 10.13866/j.azr.2024.05.09

西北干旱区藓类结皮覆盖下土壤多功能性特征及影响因子

雷菲亚¹^,²(), 李小双¹, 陶冶³, 尹本丰³, 荣晓莹³, 张静³, 陆永兴³, 郭星³, 周晓兵³(), 张元明³

1.中国科学院新疆生态与地理研究所，新疆抗逆植物基因资源保育与利用重点实验室，新疆乌鲁木齐 830011
2.中国科学院大学，北京 100049
3.中国科学院新疆生态与地理研究所，荒漠与绿洲生态国家重点实验室，新疆乌鲁木齐 830011

收稿日期:2024-02-06 修回日期:2024-03-17 出版日期:2024-05-15 发布日期:2024-05-29
通讯作者: 周晓兵
作者简介:雷菲亚（1997-），女，硕士研究生，主要从事干旱区极端环境对藓类结皮的影响. E-mail: 2683138732@qq.com
基金资助:
新疆天山英才项目(2022TSYCCX0001);新疆天山英才项目(2022TSYCLJ0058);国家自然科学基金(U2003214);国家自然科学基金(42377358)

Characterization of soil multifunctionality and its determining factors under moss crust cover in the arid regions of Northwest China

LEI Feiya¹^,²(), LI Xiaoshuang¹, TAO Ye³, YIN Benfeng³, RONG Xiaoying³, ZHANG Jing³, LU Yongxing³, GUO Xing³, ZHOU Xiaobing³(), ZHANG Yuanming³

1. Xinjiang Key Laboratory of Stress Tolerance Plant Resources Conservation and Resistance Giene Utilization, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, Xinjiang, China

Received:2024-02-06 Revised:2024-03-17 Online:2024-05-15 Published:2024-05-29
Contact: ZHOU Xiaobing

摘要/Abstract

摘要：

生物土壤结皮是由干旱区重要的活性地被物组成，可显著影响地表土壤的物质循环与能量交换，改善表层土壤的物理、化学和生物学性质，从而影响土壤多功能性（Soil Multifunctionality，SMF）。藓类结皮是生物土壤结皮的重要类型之一，本研究旨在探究西北干旱区荒漠藓类结皮覆盖下土壤与裸沙的SMF差异性，探究两者SMF变化的主要驱动因素。通过分析土壤的8个干旱区关键生态系统功能指标，运用平均值法和因子分析法计算SMF，运用最小二乘回归分析和结构方程模型（SEM）等探究SMF变化的主要驱动因素。研究发现：（1）藓类结皮覆盖下土壤的单一和多功能性显著高于裸沙。（2）裸沙和藓类结皮覆盖下SMF变化的驱动要素具有差异性，裸沙SMF的主要驱动因素为干旱（Aridity）和土壤含水量（SWC），而藓类结皮覆盖下SMF驱动要素为土壤砂粒含量。（3）年均温（MAT）对裸沙和藓结皮覆盖土壤SMF的变化均呈现最大的间接效应。因此，藓类结皮发育显著增加了荒漠土壤SMF，同时也调节SMF的相关驱动因素。以上研究结果对深入理解荒漠裸沙和结皮覆盖下SMF的差异性及驱动因素具有重要意义。

关键词: 土壤多功能性, 西北干旱区, 藓类结皮, 驱动因素, 结构方程模型

Abstract:

Biological soil crusts (BSCs) are the main active groundcover community in arid regions. BSCs can significantly affect the material cycle and energy exchange, improve the physical, chemical, and biological properties of surface soil, and influence the soil multifunctionality (SMF). Moss crust is an important type of BSCs. This study investigates the SMF variability of moss crust-covered and bare sand in the deserts of northwestern arid regions, and explored the main drivers of the variability. We analyzed eight crucial ecosystem function indicators. SMF was calculated by applying the mean method and factor analysis approach. We used the ordinary least square and structural equation modeling to explore the drivers of SMF changes. The results show that: (1) soil monofunctionality and SMF under moss crust cover were higher than those in bare sand (P<0.05). (2) The drivers of the SMF change in bare sand and under moss crust cover were very different. The main drivers of SMF in bare sand were aridity and soil water content, whereas the driver of SMF under moss crust cover was soil sand content (Sand). (3) The mean annual temperature had the largest indirect effect on changes in SMF for both soil in bare sand and under moss crust cover. Therefore, the development of moss crust significantly increased SMF and, in addition, modulated the relevant drivers of SMF. Our results are important for a deep understanding of the differences and drivers of SMF in desert soil with bare sand and under moss crust cover.

Key words: soil multifunctionality, northwest arid regions, moss crust, driving factor, structural equation modeling

雷菲亚, 李小双, 陶冶, 尹本丰, 荣晓莹, 张静, 陆永兴, 郭星, 周晓兵, 张元明. 西北干旱区藓类结皮覆盖下土壤多功能性特征及影响因子[J]. 干旱区研究, 2024, 41(5): 812-820.

LEI Feiya, LI Xiaoshuang, TAO Ye, YIN Benfeng, RONG Xiaoying, ZHANG Jing, LU Yongxing, GUO Xing, ZHOU Xiaobing, ZHANG Yuanming. Characterization of soil multifunctionality and its determining factors under moss crust cover in the arid regions of Northwest China[J]. Arid Zone Research, 2024, 41(5): 812-820.

图/表 7

图1

表1

图2

表2

图3

图4

图5

参考文献 49

[1]	Rodriguez-Caballero E, Belnap J, Budel B, et al. Dryland photoautotrophic soil surface communities endangered by global change[J]. Nature Geoscience, 2018, 11(3): 185-189.
[2]	蒙文萍, 戴全厚, 冉景丞. 藓植物岩溶作用研究进展[J]. 植物生态学报, 2019, 43(5): 396-407. doi: 10.17521/cjpe.2019.0020
	[Meng Wenping, Dai Quanhou, Ran Jingcheng. A review on the process of bryophyte karstification[J]. Chinese Journal of Plant Ecology, 2019, 43(5): 396-407.] doi: 10.17521/cjpe.2019.0020
[3]	Bowker M A, Reed S C, Maestre F T, et al. Biocrusts: The living skin of the earth[J]. Plant and Soil, 2018, 429(1-2): 1-7.
[4]	Gao L Q, Bowker M A, Sun H, et al. Linkages between biocrust development and water erosion and implications for erosion model implementation[J]. Geoderma, 2020, 357: 113973.
[5]	Li S L, Bowker M A, Xiao B. Biocrusts enhance non-rainfall water deposition and alter its distribution in dryland soils[J]. Journal of Hydrology, 2021, 595: 126050.
[6]	Zhou X B, Tao Y, Yin B F, et al. Nitrogen pools in soil covered by biological soil crusts of different successional stages in a temperate desert in Central Asia[J]. Geoderma, 2020, 366: 114166.
[7]	Hu R, Wang X P, Xu J S, et al. The mechanism of soil nitrogen transformation under different biocrusts to warming and reduced precipitation: From microbial functional genes to enzyme activity[J]. Science of the Total Environment, 2020, 722: 137849.
[8]	张雨虹, 张韶阳, 张树煇, 等. 毛乌素沙地藓类结皮对沙化土壤性质和细菌群落的影响[J]. 土壤学报, 2021, 58(6): 1585-1597.
	[Zhang Yuhong, Zhang Shaoyang, Zhang Shuhui, et al. Effect of moss crust on sandy soil properties and bacterial community in Mu Us Sandy Land[J]. Acta Pedologica Sinica, 2021, 58(6): 1585-1597.]
[9]	Lan S B, Zhang Q Y, Wu L, et al. Artificially accelerating the reversal of desertification: Cyanobacterial inoculation facilitates the succession of vegetation communities[J]. Environment Science & Technology, 2014, 48(1): 307-315.
[10]	Bünemann E K, Bongiorno G, Bai Z G, et al. Soil quality-A critical review[J]. Soil Biology & Biochemistry, 2018, 120: 105-125.
[11]	Glenk K, Mcvittie A, Moran D. Soil and Soil Organic Carbon Within An Ecosystem Service Approach Linking Biophysical and Economic Data[M]. Cupar: Scottish Agricultural College, 2012.
[12]	张世航, 陶冶, 陈玉森, 等. 准噶尔荒漠土壤多功能性的空间变异特征及其驱动因素[J]. 生物多样性, 2022, 30(8): 140-150.
	[Zhang Shihang, Tao Ye, Chen Yusen, et al. Spatial pattern of soil multifunctionality and its correlation with environmental and vegetation factors in the Junggar Desert, China[J]. Biodiversity Science, 2022, 30(8): 140-150.]
[13]	Su Y G, Liu J, Zhang Y M, et al. More drought leads to a greater significance of biocrusts to soil multifunctionality[J]. Functional Ecology, 2021, 35(4): 989-1000.
[14]	Zhang Q, Yin B F, Zhang S J, et al. Moss crusts mitigate the negative impacts of shrub mortality on the nutrient multifunctionality of desert soils[J]. Soil Science Society of America Journal, 2023, 88(1): 166-179.
[15]	Zhou H, Gao Y, Jia X H, et al. Network analysis reveals the strengthening of microbial interaction in biological soil crust development in the Mu Us Sandy Land, northwestern China[J]. Soil Biology & Biochemistry, 2020, 144: 107782.
[16]	Eldridge D J, Delgado-Baquerizo M, Quero J L, et al. Surface indicators are correlated with soil multifunctionality in global drylands[J]. Journal of Applied Ecology, 2020, 57(2): 424-435.
[17]	Zhang S H, Chen Y S, Zhou X B, et al. Spatial patterns and drivers of ecosystem multifunctionality in China: Arid vs. humid regions[J]. Science of The Total Environment, 2024, 920: 170868.
[18]	Hu W G, Ran J Z, Dong L W, et al. Aridity-driven shift in biodiversity-soil multifunctionality relationships[J]. Nature Communications, 2021, 12(1): 5350.
[19]	Yan Y Z, Zhang Q, Buyantuev A, et al. Plant functional β diversity is an important mediator of effects of aridity on soil multifunctionality[J]. Science of the Total Environment, 2020, 726: 138529.
[20]	Durán J, Delgado-Baquerizo M, Dougill A J, et al. Temperature and aridity regulate spatial variability of soil multifunctionality in drylands across the globe[J]. Ecology, 2018, 99(5): 1184-1193. doi: 10.1002/ecy.2199 pmid: 29484631
[21]	Kakeh J, Sanaei A, Sayer E J, et al. Biocrust diversity enhances dryland saline soil multifunctionality[J]. Land Degradation & Development, 2022, 34(2): 521-533.
[22]	Zhang S H, Chen Y S, Lu Y X, et al. Spatial variability and driving factors of soil multifunctionality in drylands of China[J]. Regional Sustainability, 2022, 3: 223-232.
[23]	陈亚宁, 杨青, 罗毅, 等. 西北干旱区水资源问题研究思考[J]. 干旱区地理, 2012, 35(1): 1-9.
	[Chen Yaning, Yang Qing, Luo Yi, et al. Ponder on the issues of water resources in the arid region of Northwest China[J]. Arid Land Geography, 2012, 35(1): 1-9.]
[24]	郭泽呈, 魏伟, 石培基, 等. 中国西北干旱区土地沙漠化敏感性时空格局[J]. 地理学报, 2020, 75(9): 1949-1965.
	[Guo Zecheng, Wei Wei, Shi Peiji, et al. Spatiotemporal changes of land desertification sensitivity in the arid region of Northwest China[J]. Acta Geographica Sinica, 2020, 75(9): 1949-1965.]
[25]	Sanderson M A, Skinner R H, Barker D J, et al. Plant species diversity and management of temperate forage and grazing land ecosystems[J]. Crop Science, 2004, 44(4): 1132-1144.
[26]	Maestre F T, Quero J L, Gotelli N J, et al. Plant species richness and ecosystem multifunctionality in global drylands[J]. Science, 2012, 335(6065): 214-218. doi: 10.1126/science.1215442 pmid: 22246775
[27]	Soliveres S, Maestre F T, Eldridge D J, et al. Plant diversity and ecosystem multifunctionality peak at intermediate levels of woody cover in global drylands[J]. Global Ecology Biogeography, 2014, 23(12): 1408-1416.
[28]	Valencia E, Maestre v, le Bagousse-Pinguet Y, et al. Functional diversity enhances the resistance of ecosystem multifunctionality to aridity in Mediterranean drylands[J]. New Phytolgist, 2015, 206(2): 660-671.
[29]	陶冶, 刘耀斌, 吴甘霖, 等. 准噶尔荒漠区域尺度浅层土壤化学计量特征及其空间分布格局[J]. 草业学报, 2016, 25(7): 13-23. doi: 10.11686/cyxb2016009
	[Tao Ye, Liu Yaobin, Wu Ganlin, et al. Regional-scale ecological stoichiometric characteristics and spatial distribution patterns of key elements in surface soils in the Junggar Desert, China[J]. Acta Prataculturae Sinica, 2016, 25(7): 13-23.] doi: 10.11686/cyxb2016009
[30]	Ding J Y, Eldridge D J. Climate and plants regulate the spatial variation in soil multifunctionality across a climatic gradient[J]. Catena, 2021, 201: 105233.
[31]	Rodell M, Houser P R, Jambor U, et al. The global land data assimilation system[J]. Bulletion of the American Meteorological Society, 2004, 85(3): 381-394.
[32]	Housman D C, Powers H H, Collins A D, et al. Carbon and nitrogen fixation differ between successional stages of biological soil crusts in the Colorado Plateau and Chihuahuan Desert[J]. Journal Arid Environment, 2006, 66(4): 620-634.
[33]	Elbert W, Weber B, Burrows S, et al. Contribution of cryptogamic covers to the global cycles of carbon and nitrogen[J]. Nature Geoscience, 2012, 5(7): 459-462.
[34]	Zhao Y, Xu M, Belnap J. Potential nitrogen fixation activity of different aged biological soil crusts from rehabilitated grasslands of the hilly Loess Plateau, China[J]. Journal of Arid Environments, 2010, 74(10): 1186-1191
[35]	高丽倩, 赵允格, 许明祥, 等. 生物土壤结皮演替对土壤生态化学计量特征的影响[J]. 生态学报, 2018, 38(2): 678-688.
	[Gao Liqian, Zhao Yunge, Xu Mingxiang, et al. The effects of biological soil crust succession on soil ecological stoichiometry characteristics[J]. Acta Ecologica Sinica, 2018, 38(2): 678-688.]
[36]	Zhang B C, Zhou X B, Zhang Y M. Responses of microbial activities and soil physical-chemical properties to the successional process of biological soil crusts in the Gurbantunggut Desert, Xinjiang[J]. Journal Arid Land, 2015, 7(1): 101-109.
[37]	Ghiloufi W, Seo J, Kim J, et al. Effects of biological soil crusts on enzyme activities and microbial community in soils of an arid ecosystem[J]. Microbial Ecology, 2019, 77(1): 201-216. doi: 10.1007/s00248-018-1219-8 pmid: 29922904
[38]	Gao L Q, Bowker M A, Xu M X, et al. Biological soil crusts decrease erodibility by modifying inherent soil properties on the Loess Plateau, China[J]. Soil Biology & Biochemistry, 2017, 105: 49-58.
[39]	李宁宁, 张光辉, 王浩, 等. 黄土丘陵沟壑区生物结皮对土壤抗蚀性能的影响[J]. 中国水土保持科学, 2020, 18(1): 42-48.
	[Li Ningning, Zhang Guanghui, Wang Hao, et al. Soil anti-erodibility influenced by biological crusts in Loess Hilly and Gully Region[J]. Science of Soil and Water Conservation, 2020, 18(1): 42-48.]
[40]	Liu L C, Li S Z, Duan Z H, et al. Effects of microbiotic crusts on dew deposition in the restored vegetation area at Shapotou, Northwest China[J]. Journal of Hydrology, 2006, 328(1-2): 331-337.
[41]	Zhang J, Zhang Y M, Downing A, et al. The influence of biological soil crusts on dew deposition in Gurbantunggut Desert, Northwestern China[J]. Journal of Hydrology, 2009, 379(3-4): 220-228.
[42]	Moyano F E, Manzoni S, Chenu C. Responses of soil heterotrophic respiration to moisture availability: An exploration of processes and models[J]. Soil Biology Biochemistry, 2013, 59: 72-85.
[43]	Chen Y L, Xu Z W, Hu H W, et al. Responses of ammonia-oxidizing bacteria and archaea to nitrogen fertilization and precipitation increment in a typical temperate steppe in Inner Mongolia[J]. Applied Soil Ecology, 2013, 68: 36-45.
[44]	Mcdaniel M D, Kaye J P, Kaye M W. Increased temperature and precipitation had limited effects on soil extracellular enzyme activities in a post-harvest forest[J]. Soil Biology & Biochemistry, 2013, 56: 90-98.
[45]	Zhang W, Gao D X, Chen Z X, et al. Substrate quality and soil environmental conditions predict litter decomposition and drive soil nutrient dynamics following afforestation on the Loess Plateau of China[J]. Geoderma, 2018, 325: 152-161.
[46]	Wang Y N, Li F Y, Song X, et al. Changes in litter decomposition rate of dominant plants in a semi-arid steppe across different land use types: Soil moisture, not home-field advantage, plays a dominant role[J]. Agriculture, Ecosystems & Environment, 2020, 303: 104989.
[47]	Zhou X H, Zhou, L Y, Nie Y Y, et al. Similar responses of soil carbon storage to drought and irrigation in terrestrial ecosystems but with contrasting mechanisms: A meta-analysis[J]. Agriculture, Ecosystems & Environment, 2016, 228: 70-81.
[48]	Ren C J, Zhao F Z, Shi Z, et al. Differential responses of soil microbial biomass and carbon-degrading enzyme activities to altered precipitation[J]. Soil Biology & Biochemistry, 2017, 115: 1-10.
[49]	Delgado-Baquerizo M, Maestre F T, Gallardo A, et al. Decoupling of soil nutrient cycles as a function of aridity in global drylands[J]. Nature, 2013, 502(7473): 672-676.

样点	经度/（°）	纬度/（°）	海拔/m	植被盖度	土壤类型	结皮盖度	结皮类型	土壤粒级分布/%			年均降水/mm	年均气温/℃
样点	经度/（°）	纬度/（°）	海拔/m	植被盖度	土壤类型	结皮盖度	结皮类型	粉粒	砂粒	石砾	年均降水/mm	年均气温/℃
S1	87.15417	45.3023	461.79	0.05	简育砂性土	0.74	藻-地-藓	4.94	67.09	27.98	91.50	8.82
S2	87.67692	45.2478	575.22	0.01	简育砂性土	0.84	藻-地-藓	4.61	83.08	12.31	101.03	8.48
S3	88.30511	45.2636	729.83	0.04	简育砂性土	0.85	藻-地-藓	1.94	95.25	2.81	125.50	7.65
S4	108.5659	38.8198	1391.35	0.18	钙积潜育土	0.43	藻-地-藓	2.03	91.14	6.83	209.00	8.67
S5	110.2118	39.0136	1250.04	0.01	简育砂性土	0.45	藻-地-藓	0.93	81.03	18.04	255.00	9.18
S6	103.8205	40.8864	1332.37	0.02	简育石膏土	<0.10	藻-地-藓	1.78	82.66	15.56	64.50	8.77
S7	108.9267	37.9791	1158.39	0.01	过渡性红砂土	<0.10	藻-地-藓	3.42	75.13	21.45	257.00	10.07
S8	104.8801	37.5025	1508.13	0.04	简育砂性土	0.23	藻-地-藓	0.97	88.95	10.07	146.15	9.50

	SOC	TN	TP	C:N	C:P	N:P	AN	AP	SMF1	SMF2
SMF1	0.832^**	0.701^**	0.614^**	0.240^*	0.293^**	0.218^*	0.784^**	0.752^**	1	0.994^**
SMF2	0.860^**	0.688^**	0.660^**	0.262^**	0.256^*	-0.254^*	0.796^**	0.762^**	0.994^**	1

西北干旱区藓类结皮覆盖下土壤多功能性特征及影响因子

Characterization of soil multifunctionality and its determining factors under moss crust cover in the arid regions of Northwest China

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 7

参考文献 49

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	刘一丹, 姚晓军, 李宗省, 胡家瑜. 气候变化和土地利用覆盖变化对河西地区植被净初级生产力的影响[J]. 干旱区研究, 2024, 41(1): 169-180.
[2]	任丽雯, 王兴涛, 刘明春, 王大为. 石羊河流域植被净初级生产力时空变化及驱动因素[J]. 干旱区研究, 2023, 40(5): 818-828.
[3]	陈加伟, 褚建民, 甘红豪, 徐磊, 公帅, 刘浩, 王迎新, 杨洪晓, 徐晓庆, 齐丹卉. 浑善达克沙地长梗扁桃群丛特征及其驱动因素分析[J]. 干旱区研究, 2023, 40(5): 777-784.
[4]	姚春艳, 刘洪鹄, 刘竞. 长江源区1980—2020年水沙变化规律[J]. 干旱区研究, 2023, 40(5): 726-736.
[5]	王晓雨, 马瑞, 张富, 胡彦婷, 王玲莉, 蒋承洋, 陈素娥. 关川河上游水沙变化特征及其对降水和水保措施的响应[J]. 干旱区研究, 2023, 40(11): 1765-1775.
[6]	赵明涛, 王超群, 梁美琪, 何彤慧. 银川平原湿地典型沉水植物群落物种多样性对底泥的响应[J]. 干旱区研究, 2023, 40(11): 1815-1823.
[7]	王冠正, 常顺利, 王建萍, 张毓涛, 孙雪娇, 李翔. 不同坡向雪岭云杉天然更新影响因素分析[J]. 干旱区研究, 2023, 40(10): 1661-1669.
[8]	张昊琛,萨楚拉,孟凡浩,罗敏,王牧兰,高红豆. 内蒙古地表冻融指数动态变化与驱动因素分析[J]. 干旱区研究, 2022, 39(6): 1996-2008.
[9]	尹明财,朱豪,胡圆昭,李振中,张济世. 甘肃省灰水足迹变化特征及驱动因素[J]. 干旱区研究, 2022, 39(6): 1810-1818.
[10]	姚佳,陈启慧,李琼芳,崔罡,张良憬. 伊犁河—巴尔喀什湖流域实际蒸散发时空变化特征及其环境影响因子[J]. 干旱区研究, 2022, 39(5): 1564-1575.
[11]	冯强,赵文武,段宝玲. 生态系统服务权衡强度与供需匹配度的关联性分析——以山西省为例[J]. 干旱区研究, 2022, 39(4): 1222-1233.
[12]	阮永健,吴秀芹. 基于GRACE和GLDAS的西北干旱区地下水资源量可持续性评价[J]. 干旱区研究, 2022, 39(3): 787-800.
[13]	王晓峰,延雨,李月皓,张兴,符鑫鑫. 银川市湿地景观演变及其驱动因素[J]. 干旱区研究, 2021, 38(3): 855-866.
[14]	白壮壮, 崔建新, 丁晓辉. 1986—2015年鄂尔多斯高原沙漠化及其驱动因素研究[J]. 干旱区研究, 2020, 37(3): 749-.
[15]	余秀秀, 张明军, 王圣杰, 邱雪, 杜铭霞, 周苏娥, 孟鸿飞. 基于LMDZ模型的西北干旱区水汽再循环率分析 [J]. 干旱区研究, 2019, 36(1): 29-43.