Relationship between Soil and Air Temperature of Robinia pseudoacacia Plantation in North China

ZHENG Ning; LU Sen; ZHANG Jin-song; MENG Ping; JIA Chang-rong; REN Ying-feng

Volume 26 Issue 1

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Relationship between Soil and Air Temperature of Robinia pseudoacacia Plantation in North China

1.
Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing 100091, China
2.
Dagouhe Forest Farm, Jiyuan 454650, He’nan, China

Received Date: 2011-11-03

Abstract

At present, field measurement is the main means of acquiring soil temperature data, which is spatially and temporally discontinuous. The prediction model of soil temperature should be built based on continuous measured data. Based on the soil temperature data of different layers (0 cm, 5 cm, 10 cm, 15 cm, and 20 cm) and the air temperature above and below the canopy, the data were measured continuously in a nearly 30-year-old Robinia pseudoacacia plantation in the hilly zone in Jiyuan City of He’nan Province in 2006 and 2007, the relationship between soil temperature and air temperature was analyzed, a mathematical model for predicting soil temperature was developed based on daily air temperature data in 2006, and the predictions were tested based on the data of 2007. The results show that:The variation trends of soil temperature of different layers and air temperature are basically the same; as soil depth increased, the impact of the soil increased, yet the correlation of soil temperature and air temperature decreased. According to the growth status of trees, a year can be divided into four phases of phenology. The correlation of soil temperature and air temperature was significant when the leaf area index was small. Therefore, the structure of forest canopy had obvious impact on the soil temperature. The model based on air temperature can provide a valuable and accurate tool for predicting temperature of shallow soil. However, to accurately predict deep soil temperature, more factors should be taken into account.
- air temperature,
- soil temperature,
- Robinia pseudoacacia plantation,
- model prediction

References

[1]	张慧智,史学正,于东升,等.中国土壤温度的空间预测研究[J]. 土壤学报, 2009, 46(1):1-8
[2]	Meikle R W, Treadway T R. A mathematical method for estimating soil temperatures in Canada[J]. Soil Science, 1981, 131(5):320-326
[3]	史学正, 邓西海. 我国土壤温度状况[M].北京:科学出版社, 1993:353-360
[4]	关德新, 吴家兵, 金昌杰, 等. 用气象站资料推算附近森林浅层地温和气温[J]. 林业科学, 2006, 42(11):132-137
[5]	冯学民, 蔡德利. 土壤温度与气温及纬度和海拔关系的研究[J]. 土壤学报, 2004, 41(3):489-491
[6]	Tabari H, Sabziparvar A-A, Ahmadi M. Comparison of artificial neural network and multivariate linear regression methods for estimation of daily soil temperature in an arid region[J]. Meteorology and Atmospheric Physics, 2011, 110(3-4):135-142
[7]	姚付启, 张振华, 钱为君. 烟台果园土壤温度影响因素及其预测模型研究[J]. 农业系统科学与综合研究, 2008, 24(2):201-204
[8]	邹平, 杨劲松, 姚荣江. 土壤温度时间序列预测的BP神经网络模型研究[J]. 中国生态农业学报,2008, 16(4):835-838
[9]	王选耀. 烟台地区土壤温度变化特征及预测模型研究[J]. 农业系统科学与综合研究,2010, 26(4):487-492
[10]	Bilgili M. Prediction of soil temperature using regression and artificial neural network models[J]. Meteorology and Atmospheric Physics, 2010, 110(1-2):59-70
[11]	Ozturk M, Salman O, Koc M. Artificial neural network model for estimating the soil temperature[J]. Canadian Journal of Soil Science, 2011, 91(4):551-562
[12]	Mihalakakou G. On estimating soil surface temperature profiles [J]. Energy and Buil, 2002, 34(3):251-259
[13]	Grant R F, Izaurralde R C, Chanasyk D S. Soil temperature under different surface managements:testing a simulation model[J]. Agricultural and Forest Meteorology, 1995, 73(1-2):89-113
[14]	Paul K I, Polglase P J, Smethurst P J. Soil temperature under forests:a simple model for predicting soil temperature under a range of forest types[J]. Agricultural and Forest Meteorology, 2004, 121(3-4):167-182
[15]	Veltena K, Pascholdb P-J, Stahelc A. Optimization of cultivation measures affecting soil temperature [J]. Scientia horticulturae, 2003, 97(2):163-184
[16]	Gao Z, Bian L, Hu Y, et al. Determination of soil temperature in an arid region[J]. Journal of Arid Environments, 2007, 71(2):157-168
[17]	Gao Z, Horton R, Wang L, et al. An improved force-restore method for soil temperature prediction[J]. European Journal of Soil Science, 2008, 59(5):972-981
[18]	Zheng D, Hunt Jr E R, Running S W. A daily soil temperature model based on air temperature and precipitation for continental applications[J]. Climate Research, 1993, 2:183-191
[19]	Elias E A, Cichota R, Torriani H H, et al. Analytical soil–temperature model correction for temporal variation of daily amplitude[J]. Soil Science Society of America journal, 2004, 68(3):784-788
[20]	Conway K E, Pickett L S. Solar Heating (Solarization) of Soil in Garden Plots for Control of Soilborne Plant Diseases[J]. Oklahoma Cooperative Extension Service, 1999, EPP-7640:1-2
[21]	Harris R N. Variations in air and ground temperature and the POM-SAT model:results from the Northern Hemisphere [J]. Climate of the Past, 2007, 3(4):611-621
[22]	Dardo G O, Pousa J L, Pilan L. Predicting temperature and heat flow in a sandy soil by electrical modeling [J]. Soil Science Society of America journal, 2001, 65(4):1074-1080
[23]	Droulia F, Lykoudis S, Tsiros I, et al. Ground temperature estimations using simplified analytical and semi-empirical approaches [J]. Solar Energy, 2009, 83(2):211-219

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通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

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Relationship between Soil and Air Temperature of Robinia pseudoacacia Plantation in North China

1. Research Institute of Forestry, Chinese Academy of Forestry, Key Laboratory of Tree Breeding and Cultivation, State Forestry Administration, Beijing 100091, China

2. Dagouhe Forest Farm, Jiyuan 454650, He’nan, China

Received Date: 2011-11-03

Abstract: At present, field measurement is the main means of acquiring soil temperature data, which is spatially and temporally discontinuous. The prediction model of soil temperature should be built based on continuous measured data. Based on the soil temperature data of different layers (0 cm, 5 cm, 10 cm, 15 cm, and 20 cm) and the air temperature above and below the canopy, the data were measured continuously in a nearly 30-year-old Robinia pseudoacacia plantation in the hilly zone in Jiyuan City of He’nan Province in 2006 and 2007, the relationship between soil temperature and air temperature was analyzed, a mathematical model for predicting soil temperature was developed based on daily air temperature data in 2006, and the predictions were tested based on the data of 2007. The results show that:The variation trends of soil temperature of different layers and air temperature are basically the same; as soil depth increased, the impact of the soil increased, yet the correlation of soil temperature and air temperature decreased. According to the growth status of trees, a year can be divided into four phases of phenology. The correlation of soil temperature and air temperature was significant when the leaf area index was small. Therefore, the structure of forest canopy had obvious impact on the soil temperature. The model based on air temperature can provide a valuable and accurate tool for predicting temperature of shallow soil. However, to accurately predict deep soil temperature, more factors should be taken into account.

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Reference (23)

[1]	张慧智,史学正,于东升,等.中国土壤温度的空间预测研究[J]. 土壤学报, 2009, 46(1):1-8
[2]	Meikle R W, Treadway T R. A mathematical method for estimating soil temperatures in Canada[J]. Soil Science, 1981, 131(5):320-326
[3]	史学正, 邓西海. 我国土壤温度状况[M].北京:科学出版社, 1993:353-360
[4]	关德新, 吴家兵, 金昌杰, 等. 用气象站资料推算附近森林浅层地温和气温[J]. 林业科学, 2006, 42(11):132-137
[5]	冯学民, 蔡德利. 土壤温度与气温及纬度和海拔关系的研究[J]. 土壤学报, 2004, 41(3):489-491
[6]	Tabari H, Sabziparvar A-A, Ahmadi M. Comparison of artificial neural network and multivariate linear regression methods for estimation of daily soil temperature in an arid region[J]. Meteorology and Atmospheric Physics, 2011, 110(3-4):135-142
[7]	姚付启, 张振华, 钱为君. 烟台果园土壤温度影响因素及其预测模型研究[J]. 农业系统科学与综合研究, 2008, 24(2):201-204
[8]	邹平, 杨劲松, 姚荣江. 土壤温度时间序列预测的BP神经网络模型研究[J]. 中国生态农业学报,2008, 16(4):835-838
[9]	王选耀. 烟台地区土壤温度变化特征及预测模型研究[J]. 农业系统科学与综合研究,2010, 26(4):487-492
[10]	Bilgili M. Prediction of soil temperature using regression and artificial neural network models[J]. Meteorology and Atmospheric Physics, 2010, 110(1-2):59-70
[11]	Ozturk M, Salman O, Koc M. Artificial neural network model for estimating the soil temperature[J]. Canadian Journal of Soil Science, 2011, 91(4):551-562
[12]	Mihalakakou G. On estimating soil surface temperature profiles [J]. Energy and Buil, 2002, 34(3):251-259
[13]	Grant R F, Izaurralde R C, Chanasyk D S. Soil temperature under different surface managements:testing a simulation model[J]. Agricultural and Forest Meteorology, 1995, 73(1-2):89-113
[14]	Paul K I, Polglase P J, Smethurst P J. Soil temperature under forests:a simple model for predicting soil temperature under a range of forest types[J]. Agricultural and Forest Meteorology, 2004, 121(3-4):167-182
[15]	Veltena K, Pascholdb P-J, Stahelc A. Optimization of cultivation measures affecting soil temperature [J]. Scientia horticulturae, 2003, 97(2):163-184
[16]	Gao Z, Bian L, Hu Y, et al. Determination of soil temperature in an arid region[J]. Journal of Arid Environments, 2007, 71(2):157-168
[17]	Gao Z, Horton R, Wang L, et al. An improved force-restore method for soil temperature prediction[J]. European Journal of Soil Science, 2008, 59(5):972-981
[18]	Zheng D, Hunt Jr E R, Running S W. A daily soil temperature model based on air temperature and precipitation for continental applications[J]. Climate Research, 1993, 2:183-191
[19]	Elias E A, Cichota R, Torriani H H, et al. Analytical soil–temperature model correction for temporal variation of daily amplitude[J]. Soil Science Society of America journal, 2004, 68(3):784-788
[20]	Conway K E, Pickett L S. Solar Heating (Solarization) of Soil in Garden Plots for Control of Soilborne Plant Diseases[J]. Oklahoma Cooperative Extension Service, 1999, EPP-7640:1-2
[21]	Harris R N. Variations in air and ground temperature and the POM-SAT model:results from the Northern Hemisphere [J]. Climate of the Past, 2007, 3(4):611-621
[22]	Dardo G O, Pousa J L, Pilan L. Predicting temperature and heat flow in a sandy soil by electrical modeling [J]. Soil Science Society of America journal, 2001, 65(4):1074-1080
[23]	Droulia F, Lykoudis S, Tsiros I, et al. Ground temperature estimations using simplified analytical and semi-empirical approaches [J]. Solar Energy, 2009, 83(2):211-219

Relationship between Soil and Air Temperature of Robinia pseudoacacia Plantation in North China

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通讯作者: 陈斌, bchen63@163.com

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Relationship between Soil and Air Temperature of Robinia pseudoacacia Plantation in North China

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