1. 西南林业大学 生态与环境学院,云南,昆明,650224
2. 云南水利水电职业学院,云南,昆明,650499
3. 中国林业科学研究院 荒漠化研究所,北京,100091
4. 云南省山地农村生态环境演变与污染治理重点实验室,云南,昆明,650224
纸质出版:2023
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陈秋帆, 李成荣, 卢琦, 等. 短时强降水下黏土表层覆盖苔藓水分入渗特征及其模型模拟[J]. 水土保持通报, 2023,43(4):1-9.
Chen Qiufan, Li Chengrong, Lu Qi, et al. Water Infiltration Characteristics and Model Simulation of Bryophytes on Surface Layer of Clay Soil Under Short-term Heavy Rainfall[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 1-9.
陈秋帆, 李成荣, 卢琦, 等. 短时强降水下黏土表层覆盖苔藓水分入渗特征及其模型模拟[J]. 水土保持通报, 2023,43(4):1-9. DOI: 10.13961/j.cnki.stbctb.2023.04.001.
Chen Qiufan, Li Chengrong, Lu Qi, et al. Water Infiltration Characteristics and Model Simulation of Bryophytes on Surface Layer of Clay Soil Under Short-term Heavy Rainfall[J]. Bulletin of Soiland Water Conservation, 2023, 43(4): 1-9. DOI: 10.13961/j.cnki.stbctb.2023.04.001.
[目的] 探究短时强降水条件下土壤表层覆盖苔藓植物对水分入渗产生影响的机理,为苔藓植物在石漠化区水土流失治理中的运用提供数据支撑。[方法] 室内模拟大灰藓(Hypnum plumaeforme)、牛舌藓(Anomodon viticulosus)、小石藓(Weisia controversa)、蕊形真藓(Bryum coronatum)植物覆盖处理的一维土柱历经短时20 mm强降水后土壤水分入渗过程,运用经典入渗模型和Singh的熵入渗方程模拟水分入渗过程,对比不同苔藓植物覆盖下土壤水分入渗的差异性。[结果] ①苔藓植物覆盖处理组水分入渗特征初始、稳定、平均入渗速率和累计入渗量均大于裸土(p<0.05),入渗速率最慢的蕊型真藓组4个入渗特征值0.718 cm/min,0.279 cm/min,0.180 cm/min和19.575 cm较裸土分别大7.65%,8.56%,11.90%和3.75%;苔藓植物覆盖处理组促进水分入渗的原因是苔藓植物阻碍土壤表层产生物理结皮促进入渗效应大于苔藓植物层截留阻碍水分入渗效应。②入渗过程中4种苔藓植物产生促进或阻碍水分入渗效应不同使水分入渗特征值存在显著性差异(p<0.05)。入渗特征与苔藓植物假根密度、假根根长、饱和吸水率呈负相关;与糙率呈正相关,但是相关系数不大。③表层覆盖苔藓植物土壤水分入渗过程模拟用Horton入渗模型更佳,而裸土水分入渗则采用Philip模型效果更好;若精度要求不高且为了简便则可以采用Singh的熵入渗方程E-Kostiakov入渗模型。[结论] 历经短时20 mm强降水后与裸土相比,表层覆盖苔藓植物具有促进水分入渗效应。这主要与苔藓植物的存在阻碍土壤表层产生物理结皮有关。
[Objective] The mechanism on how bryophytes influence water infiltration in the soil surface layer following a short period of heavy precipitation was studied in order to provide data support for the use of bryophytes to control soil erosion in rocky desert areas. [Methods] We measured soil water infiltration in a laboratory study using a one-dimensional soil column covered with Hypnum plumaeforme
Anomodon viticulosus
Weisia controversa
or Bryum coronatum after a short period of 20 mm of precipitation. We used the classical Horton infiltration model and Singh’s entropy infiltration equation to simulate water infiltration
and compared the differences in soil water infiltration. [Results] ① The initial
stable
and mean infiltration rates and the cumulative infiltration amount for the bryophyte-cover treatments were all greater than observed for the bare soil treatment (p<0.05). The four infiltration characteristic values were 0.718 cm/min
0.279 cm/min
0.180 cm/min
and 19.575 cm
respectively
for the Bryum coronatum treatment
which had the slowest infiltration rate
and the respective values were 7.65%
8.56%
11.90% and 3.75% greater than those observed for the bare soil treatment. The reason that the bryophyte-cover treatments increased water infiltration was that the bryophytes prevented the production of a physical crust on the soil surface. This effect was greater than the effect of the bryophyte layer to intercept and prevent water infiltration. ② The four bryophytes produced different effects to promote or impede water infiltration during the infiltration process
resulting in significant differences in water infiltration eigenvalues (p<0.05). Infiltration characteristics were negatively correlated with rhizoid density
rhizoid length
and saturated water absorption rate of bryophytes
and positively correlated with bryophyte roughness
but the correlation was small. ③ The classical Horton infiltration model was more suitable for simulating the soil water infiltration process of bryophyte-covered soil. The Philip model was more suitable for simulating bare soil water infiltration. If the accuracy requirement is not high and a simple model is desired
Singh’s entropy infiltration equation can be used as well as the E-Kostiakov infiltration model. [Conclusion] Bryophytes covering the soil surface layer increased water infiltration following a short period of intense precipitation of 20 mm
which was mainly due to the presence of bryophytes impeding the formation of physical crusting of the soil surface layer.
水利部.2020年全国水土流失动态监测成果显示:我国生态环境状况持续向好[EB/OL](2021-06-08)[2022-04-04].https://www.gov.cn/xinwen/2021-06/08/content_5616233.htm水利部网站,2021.
水利部.水利部办公厅关于进一步加强生产建设项目水土保持监测工作的通知[R].中华人民共和国水利部公报,2020(3):30-32.
张显强,曾建军,湛金吾,等.石漠化干旱环境中石生藓类水分吸收特征及其结构适应性[J].生态学报,2012,32(12):3902-3911.
龙朝波,张朝晖.喀斯特石漠化山区苔藓植物水分吸收特征[J].水土保持通报,2015,35(2):350-355.
张思琪,张科利,曹梓豪,等.喀斯特坡面生物结皮发育特征及其对土壤水分入渗的影响[J].应用生态学报,2021,32(8):2875-2885.
Williams J D, Dobrowolski J P, West N E. Microbiotic crust influence on unsaturated hydraulic conductivity [J]. Arid Soil Research and Rehabilitation, 1999,13(2):145-154.
Chen Ning, Wang Xinping, Zhang Yafeng, et al. Ecohydrological effects of biological soil crust on the vegetation dynamics of restoration in a dryland ecosystem [J]. Journal of Hydrology, 2018,563:1068-1077.
Eldridge. New frontiers in bryology and lichenology-ecology and management of biological soil crusts: Recent developments and future challenges [J]. Bryologist, 2000,103(4):742-747.
李新荣,张元明,赵允格.生物土壤结皮研究:进展、前沿与展望[J].地球科学进展,2009,24(1):11-24.
Carvalho R C, Bernardes da Silva, Branquinho C, et al. Influence of dehydration rate on cell sucrose and water relations parameters in an inducible desiccation tolerant aquatic bryophyte [J]. Environmental & Experimental Botany, 2015,120:18-22.
Brunialti G, Ravera S. Lichens and bryophytes as indicators of old-growth features in Mediterranean forests [J]. Plant Biosystems, 2010,144(1):221-233.
李鑫浩,曹文华,牛勇,等.黄泛平原区风沙土物理结皮硬度和厚度特征及其影响因素[J].水土保持通报,2022,42(1):63-68,76.
Chamizo S, Yolanda Cantón, Miralles I, et al. Biological soil crust development affects physicochemical characteristics of soil surface in semiarid ecosystems [J]. Soil Biology and Biochemistry, 2012,49:96-105.
吴佩瑶,秦富仓,董晓宇,等.坡度影响下的砒砂岩区裸露坡面水分入渗特征及模拟[J].水土保持学报,2022,36(2):64-69.
Warren S D, Stark L R, Lewis L A, et al. Reproduction and dispersal of biological soil crust organisms [J]. Frontiers in Ecology and Evolution, 2019,7:344.
Sloan P G, Moore I D, Coltharp G B, et al. Modeling surface and subsurface stormflow on steeply-sloping forested watersheds [J]. Water Resources Research, 1984,20(12):1851-1862.
Li Bai, Gao Jiarong, Wang Xiuru, et al. Effects of biological soil crusts on water infiltration and evaporation Yanchi Ningxia, Maowusu Desert, China [J]. International Journal of Sediment Research, 2016,31(4):311-323.
刘焕焕,王改玲,殷海善,等.红枣经济林不同植被覆盖土壤水分入渗特征[J].灌溉排水学报,2020,39(4):52-58.
丰雪,张阚,李波,等.基于信息熵方法的土壤水分入渗方程试验研究[J].水土保持学报,2017,31(2):57-61.
Singh V P. Entropy theory for derivation of infiltration equations [J]. Transactions of the Asabe, 2012,46(3):374-381.
Burgy R H, Luthin J N. Discussion of “A Test of the single-and double-ring types of infiltrometers” [J]. Transactions American Geophysical Union, 1957,38(2):260-261.
雷文娟,唐翔宇.土壤水分入渗和再分布过程的信息熵演变特征[J].武汉大学学报(工学版),2016,49(1):39-45.
张侃侃,卜崇峰,高国雄.黄土高原生物结皮对土壤水分入渗的影响[J].干旱区研究,2011,28(5):808-812.
吕刚,王婷,王韫策,等.辽西低山丘陵区坡地砾石含量及粒径对土壤入渗性能的影响[J].水土保持学报,2017,31(4):86-92.
范严伟,赵文举,王昱.入渗水头对垂直一维入渗Philip模型参数的影响[J].兰州理工大学学报,2015,41(1):65-70.
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