长三角区典型林分浅层土壤温度变化特征

doi:10.16843/j.sswc.2017.03.009

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Abstract [Background] The soil temperature directly determines the quality of soil resources, and affects plant's growth, development, reproduction and distribution. As the largest economic developed area in China, the hot summer in the Yangtze River Delta demands high requirements for the rational allocation of artificial vegetation communities. This work aims to understand the changes of temperature of shallow-soil under typical stands in the Yangtze River Delta, and to reveal the effects of forest on regulating temperature of shallow-soil. [Methods] The soil temperature sensor EM50 was used to conduct long-term monitoring, from June 2012 to May 2013, on temperature of shallow-soil (5 cm, 10 cm, and 15 cm) of Quercus acutissima stand, Phyllostachys edulis stand and Cunninghamia lanceolata stand in Tongshan of Nanjing. With nudaton as the control, the temperature variation characteristics of shallow-soil under three stands were analyzed by Microsoft Excel 2007, Origin 8.5, SPSS 19.0 and LSD. [Results] The diurnal variation and annual variation of soil temperature under forest was smaller than that in nudation. The diurnal range of soil temperature was in descending order of nudation, C. lanceolata stand, P. edulis stand and Q. acutissima stand and the annual variation range was in descending order of nudation, C. lanceolata stand, Q. acutissima stand and P. edulis stand. The forest presented the effect of decreasing the soil temperature in summer and autumn, moreover, P. edulis stand(about 1-3℃)showed the best effect of reducing soil temperature. The forest had the function of increasing soil temperature in winter and spring, moreover, C. lanceolata stand(about 0.1-1℃)showed the strongest effect of increasing soil temperature. The forest caused the decrease of the annual average temperature, and P. edulis stand decreased the annual average temperature about 1-2℃, C. lanceolata stand and Q. acutissima stand about 0.5-1.5℃, respectively. The forest lagged the time of the daily maximum and minimum temperature of soil, and the lagging effect was descending in order of C. lanceolata stand, P. edulis stand and Q. acutissima stand. The highest temperature of soil temperature was lowered by forest and the lowest temperature of soil temperature rose in spring and winter. The effect of reducing daily highest temperature of soil temperature was the most significant under Q. acutissima stand. In the spring and winter, Q. acutissima stand and C. lanceolata acted as the best role in increasing daily lowest soil temperature. [Conclusions] The diurnal range and annual range of soil temperature under both Q. acutissima stand and P. edulis stand was smaller than that under C. lanceolata stand. For the ability of reducing soil temperature in summer and autumn and raising the temperature in winter and spring, the P. edulis stand was better than Q. acutissima stand and C. lanceolata stand. For the ability of lagging the time of the maximum and minimum temperature of soil, the C. lanceolata stand was better than P. edulis stand and Q. acutissima stand. For the ability of reducing the maximum temperature of soil and raising the lowest temperature of soil, Q. acutissima stand was better than P. edulis stand and C. lanceolata stand. This conclusion can provide reference for soil environment protection and tree species selection.

Key words： soil temperature shallow-soil Quercus acutissima stand Phyllostachys edulis stand Cunninghamia lanceolata stand

Received: 14 December 2016

PACS:

S714.2

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	YANG Dan
	SUN Yongtao
	ZHUANG Jiayao
	ZHANG Jinchi
	GE Bo
	FAN Guohua

Cite this article:

YANG Dan,SUN Yongtao,ZHUANG Jiayao, et al. Variation characteristics of shallow-soil temperature under typical stands in the Yangtze River Delta[J]. SSWC, 2017, 15(3): 65-73.

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http://journal12.magtechjournal.com/Jweb_stbc/EN/10.16843/j.sswc.2017.03.009 OR http://journal12.magtechjournal.com/Jweb_stbc/EN/Y2017/V15/I3/65

[1]	王淼,韩士杰,王跃思.影响阔叶红松林土壤CO2排放的主要因素[J].生态学杂志,2004,23(5):24. WANG Miao, HAN Shijie, WANG Yuesi.Important factors controlling CO2 emission rates from forest soil[J]. Chinese Journal of Ecology,2004,23(5):24.
[2]	刘春霞,王玉杰,王云琦,等.重庆缙云山3种林型土壤呼吸及其影响因子[J].土壤通报,2013,44(3):587. LIU Chunxia, WANG Yujie, WANG Yunqi,et al.Soil respiration and impact factors of 3 forest types in Jinyun mountain of Chongqing[J]. Chinese Journal of Soil Science, 2013, 44(3):587.
[3]	GUAN Dexin, WU Jiabing, YU Guirui, et al.Meteorological control on CO2 flux above broad-leaved Korean pine mixed forest in Changbai Mountains[J]. Science in China:Series D Earth Sciences, 2005, 48(S1):116.
[4]	GUAN Dexin, WU Jiabing, ZHAO Xiaosong,et al. Annual CO2 fluxes over an old, temperate mixed forest in north eastern China[J]. Agricultural and Forest Meteorology, 2006, 137(3):138.
[5]	WU Jiabing, GUAN Dwxin, WANG Miao, et al. Year-round soil and ecosystem respiration in a temperate broad-leaved Korean pine forest[J]. Forest Ecology and Management, 2006, 223(1):35.
[6]	周邦社,杨新兵.植被和坡向对土壤温度与土壤热通量变化的影响[J].河北农业大学学报, 2001, 34(2):80. ZHOU Bangshe, YANG Xinbing.Effect of vegetation and slope on soil temperature and soil heat flux[J]. Journal of Agricultural University of Hebei, 2001, 34(2):80.
[7]	KÖRNER C, PAULSEN J. A worldwide study of high altitude treeline temperatures[J]. Journal of Biogeography, 2004, 31(5):713.
[8]	GEHRIG-FASEL J, GUISAN A, ZIMMERMANN N E. Evaluating thermal treeline indicators based on air and soil temperature using an air-to-soil temperature transfer model[J]. Ecological Modelling, 2008, 213(3/4):345.
[9]	吴湘雄,康文星,傅强,等. 樟树人工林内和林内空地土壤温度分布的研究[J].中南林业科技大学学报,2012, 32(5):113. WU Xiangxiong, KANG Wenxing, FU Qiang, et al.Studies on soil temperature distribution of camphorplantations and forest clearance area[J]. Journal of Central South University of Forestry & Technology, 2012, 32(5):113.
[10]	CORUMLUOGLU O, AYDIN M E, ASRI I, et al. The evaluation of global warming's effects on soil temperature of Turkey by 3.5D geographical information system models[C]. International Multidisciplinary Scientific Geoconference-SGEM, 2010:285.
[11]	SAVVA Y, SZLAVECZ K, POUYAT R V, et al. Effects of land use and vegetation cover on soil temperature in an urban ecosystem[J].Soil Science Society of America Journal, 2010, 74(2):469.
[12]	李猛,刘洋,段文标.红松阔叶混交林林隙浅层土壤温度的异质性[J].生态学杂志,2013,32(2):319. LI Meng, LIU Yang, DUAN Wenbiao.Heterogeneity of shallow soil temperature in the forest gaps of Pinus koraiensis-dominated broad leaved mixed forest[J]. Chinese Journal of Ecology, 2013, 32(2):319.
[13]	杜尧东,刘锦銮,何健.广州地区蔬菜田土壤温度变化特征及其预报模型研究[J].生态学杂志,2005,24(9):1021. DU Yaodong, LIU Jinluan, HE Jian.Characteristics of soil temperature dynamics in vegetable field and its forecasting model in Guangzhou[J]. Chinese Journal of Ecology, 2005, 24(9):1021.
[14]	张一平,武传胜,梁乃申,等.哀牢山亚热带常绿阔叶林土壤温度时空分布对模拟增温的响应[J].生态学杂志,2015, 34(2):347. ZHANG Yiping, WU Chuansheng, LIANG Naishen, et al.The response of soil temperature to experimental warming in a subtropical ever green broad-leaved forest in Ailao Mountains, Yunnan, SW China[J]. Chinese Journal of Ecology, 2015, 34(2):347.
[15]	付强,马梓奡,李天霄,等.北方高寒区不同覆盖条件下土壤温度差异性分析[J].农业机械学报,2014,45(12):152. FU Qiang, MA Ziao, LI Tianxiao, et al.Variability of soil temperature under different coverage conditions in alpine region of China[J]. Transactions of the Chinese Society of Agricultural Machinery, 2014, 45(12):152.
[16]	朱宾宾,满秀玲,王树力,等.大兴安岭北部白桦次生林林内积雪及浅层土壤温度分布特征[J].东北林业大学学报,2015, 43(12):36. ZHU Binbin, MAN Xiuling, WANG Shuli, et al.Characteristics of temperature in snow-cover and shallow-soil in Betula platyphylla secondary forests in the northern Daxing'an Mountains[J]. Journal of Northeast Forestry University, 2015, 43(12):36.
[17]	HORTON B, CORKREY R. A weighted coefficient model for estimation of Australian daily soil temperature at depths of 5 cm to 100 cm based on air temperature and rainfall[J].Soil Research,2011, 49(4):305.
[18]	侯建花,李桥,徐小军,等.利用气温进行统计回归预测土温[J].浙江林业科技,2015,35(5):55. HOU Jianhua, LI Qiao, XU Xiaojun, et al. Prediction model for soil temperature by statistical regression of air temperature[J]. Journal of Zhejiang Forestry Science and Technology, 2015, 35(5):55.
[19]	孙金伟,吴家兵,关德新,等.森林与空旷地空气温湿度及土壤温度的长期对比研究[J].生态学杂志,2011, 30(12):2685. SUN Jinwei, WU Jiabing, GUAN Dexin, et al.A long-term observation on the air temperature, relative humidity, and soil temperaturein a mixed forest and its adjacent open site in Changbai Mountains of Northeast China[J]. Chinese Journal ofEcology, 2011, 30(12):2685.
[20]	么枕生.气候统计学基础[M].北京:科学出版社,1984. ME Zhensheng. Fundamentals of climatological statistics[M]. Beijing:Science Press, 1984:534.
[21]	常晓丽,金会军,于少鹏.大兴安岭林区不同植被对冻土地温的影响[J].生态学报,2011,31(18):5138. CHANG Xiaoli, JIN Huijun, YU Shaopeng.Influence of vegetation on frozen ground temperatures the forested area in the Daxing'anling Mountains, northeastern China[J]. Acta Ecologica Sinica, 2011, 31(18):5138.
[22]	孙双峰,田大伦,康文星.第二代杉木人工林土壤温度的研究[J].中南林学院学报,2000, 20(1):22. SUN Shuangfeng, TIAN Dalun, KANG Wenxin.Study of the soil temperature of second generation Chinese fir stand[J].Journal of Central South Forestry University, 2000, 20(1):22.
[23]	吴力立.城市森林土壤温度场的特征[J].南京林业大学学报(自然科学版),2003,27(1):21. WU Lili.A study on the thermal field of the soil in urban forest[J]. Journal of Nanjing Forestry University(Natural Sciences Edition), 2003, 27(1):21.