Climatic Suitability Zoning of Tea Planting in Mainland China

Tang Junxian; Wang Peijuan; E Youhao; Youhao Ma; Yuping Wu; Dingrong Huo

doi:10.11898/1001-7313.20210402

Vol.32, NO.4, 2021

Turn off MathJax

Article Contents

Article Navigation > Journal of Applied Meteorological Science > 2021 > 32(4): 397-407

Tang Junxian, Wang Peijuan, E Youhao, et al. Climatic suitability zoning of tea planting in Mainland China. J Appl Meteor Sci, 2021, 32(4): 397-407. DOI: 10.11898/1001-7313.20210402.

Citation:

Tang Junxian, Wang Peijuan, E Youhao, et al. Climatic suitability zoning of tea planting in Mainland China. J Appl Meteor Sci, 2021, 32(4): 397-407. DOI: 10.11898/1001-7313.20210402.

Tang Junxian, Wang Peijuan, E Youhao, et al. Climatic suitability zoning of tea planting in Mainland China. J Appl Meteor Sci, 2021, 32(4): 397-407. DOI: 10.11898/1001-7313.20210402.

Citation:

Tang Junxian, Wang Peijuan, E Youhao, et al. Climatic suitability zoning of tea planting in Mainland China. J Appl Meteor Sci, 2021, 32(4): 397-407. DOI: 10.11898/1001-7313.20210402.

PDF( 5430 KB)

Climatic Suitability Zoning of Tea Planting in Mainland China

DOI: 10.11898/1001-7313.20210402

Chinese Academy of Meteorological Sciences, Beijing 100081

Received Date: 2021-04-06
Rev Recd Date: 2021-05-25
Publish Date: 2021-07-31

Abstract

Abstract

Starting from the national scale and annual level, the potential climate factors are interpolated into 10 km×10 km grid data based on the daily data set of 1903 weather stations from 1961 to 2019 across the country, and a tea plant distribution dataset consisting 1115 records is established. Using the maximum entropy model and GIS technology, the dominant climatic factors affecting tea plant in mainland China are screened according to the contribution percentage and Jackknife method, and the climatic suitability zoning of tea plant is divided into 4 grades: Unsuitable, sub-suitable, suitable and optimum, using the natural break point classification method. The threshold values of dominant climate factors for different division levels are determined and the climate characteristics of tea suitable zones are analyzed. The result shows that the maximum entropy model constructed based on the dominant affecting climatic factors is suitable for climatic suitability zoning of tea plant. The dominant climatic factors affecting the distribution of tea plant are averaged extreme minimum temperature, the frequency of spring frost, annual mean temperature, annual precipitation, and averaged relative humidity from March to September. The zoning results by the model are in good agreement with the distribution of famous tea towns and the location of geographical symbol tea. The changes of areas suitable for tea plant in different periods are also studied, and it shows that the north boundary of the tea plant suitable area for the six decadal periods from 1961 to 2019 is roughly the same, and all regions show a decreasing distribution trend from high latitudes in the east to low latitudes in the west. The areas where the northern boundary moves obviously are mainly in the high-latitude provinces in the east. The decadal variation of the centroid of the overall tea plant suitable area is relatively slight: The suitable areas expand northwards gradually except for the 1960s-1970s and the 1980s-1990s. These results provide a scientific basis for rational planning of tea planting layout and scientific development of tea industry. The zoning method adequately considers climatic conditions of the study area under natural conditions. However, other factors such as land use types, soil conditions, and tea varieties are not fully considered, and the interpolation method does not consider the influence of altitude on meteorological elements, which makes the result of area optimum for tea planting larger than reality.
- maximum entropy model;
- tea plant;
- climate suitability;
- zoning;
- interdecadal changes

FullText(HTML)

References(38)

Figures and Tables

Fig. 1 Location of the meteorological stations and tea plant sites in China

DownLoad: Full-Size Img PowerPoint

Fig. 2 Contribution of potential climate factors based on Jackknife method to tea plant distribution in China

DownLoad: Full-Size Img PowerPoint

Fig. 3 Climatic suitability zoning of tea plant in China

DownLoad: Full-Size Img PowerPoint

Fig. 4 Comparison of zoning results of tea plant with famous tea town and the location of geographical symbol tea

DownLoad: Full-Size Img PowerPoint

Fig. 5 Changes in the northern boundary of tea plant suitable areas in different decades

DownLoad: Full-Size Img PowerPoint

Fig. 6 Changes in tea plant suitable areas during the past 60 years

DownLoad: Full-Size Img PowerPoint

Table 1 Contribution percentage and permutation importance of potential climate factors

变量	贡献百分率/%	置换重要性/%
多年平均极端最低气温	36.7	4.4
年降水量	24.8	33.3
春霜冻频率	22.7	32.0
年平均气温	6.5	1.8
年日照时数	3.2	7.7
3—9月平均相对湿度	2.0	3.0
大于等于10℃活动积温	1.5	2.8
海拔高度	1.5	6.8
最冷月平均气温	1.1	8.2

DownLoad: Download CSV

Table 2 Graded climate factors affecting the distribution of climatic suitability grades of tea trees in China

区域	多年平均极端最低气温(T_M)/℃	春霜冻频率(R)/%	年平均气温(T)/℃	年降水量(P)/mm	3—9月平均相对湿度(F)/%
高适宜区	T_M＞-7.8	R≤20	T＞15.5	P＞1010	F＞76
适宜区	-9.2＜T_M≤-7.8	20＜R≤27	14.4＜T≤15.5	810＜P≤1010	73＜F≤76
次适宜区	-14.7＜T_M≤-9.2	27＜R≤43	12.4＜T≤14.4	650＜P≤810	67＜F≤73
不适宜区	T_M≤-14.7	R＞43	T≤12.4	P≤650	F≤67

DownLoad: Download CSV

Table 3 Distribution of centroids of tea plant suitable area for different periods

不同时期	质心位置	移动距离/km
1961—1970年	28.45°N，110.69°E
1971—1980年	28.32°N, 110.76°E	16.08
1981—1990年	28.60°N, 110.71°E	31.45
1991—2000年	28.40°N, 110.77°E	22.09
2001—2010年	28.42°N, 110.75°E	2.73
2011—2019年	28.64°N, 110.90°E	28.21

DownLoad: Download CSV

References

[1]	Wang P J, Tang J X, Jin Z F, et al. Review on spring frost disaster for tea plant in China. J Appl Meteor Sci, 2021, 32(2): 129-145. doi: 10.11898/1001-7313.20210201
[2]	Yang Y J. Chinese Tea Cultivation. Shanghai: Shanghai Scientific & Technical Publishers, 2005.
[3]	Yin Y Y. Climatic Regionalization of Tobacco Planting in Yunnan. Nanjing: Nanjing University of Information Science & Technology, 2012.
[4]	Department of Agricultural Meteorology, Chinese Academy of Agricultural Sciences. Climatic regionalization of tea trees in China. Agricultural Meteorology, 1982, 3(1): 1-5.
[5]	Zhang M J, Zhao Y X. Review of research progress in agricultural climate regionalization in China during recent 10 years. Journal of Anhui Agricultural Sciences, 2012, 40(2): 993-997. doi: 10.3969/j.issn.0517-6611.2012.02.139
[6]	Ma X X, Deng Z Y, Li D L, et al. Study on eco-climate applicability of spring wheat for conding planting division in Gansu Province. J Appl Meteor Sci, 2005, 20(6): 820-827. doi: 10.3969/j.issn.1001-7313.2005.06.014
[7]	Wang L X, Chen H L, Li Q, et al. Research progress on agricultural climatic division methods in China. Chinese Journal of Agrometeorology, 2010, 31(2): 277-281. doi: 10.3969/j.issn.1000-6362.2010.02.021
[8]	Tian J, Huo Z G, Liu D, et al. Spatial-temporal variation and zoning of rain-washing damage to early rice pollen in Jiangxi Province. J Appl Meteor Sci, 2019, 30(5): 608-618. doi: 10.11898/1001-7313.20190509
[9]	Li Y, Zhao G Q, Chen H L, et al. WOFOST model parameter calibration based on agro-climatic division of winter wheat. J Appl Meteor Sci, 2021, 32(1): 38-51. doi: 10.11898/1001-7313.20210104
[10]	Chen S Z, Zhang Z, Tian Y X, et al. Study on climatic regionalization for planting Litchi chinensis in Yunnan by cluster analysis. Journal of Yunnan Agricultural University(Natural Science), 2008, 23(2): 260-264. doi: 10.3969/j.issn.1004-390X.2008.02.025
[11]	Jin Z F, Huang J F, Li B, et al. Suitability evaluation of tea trees cultivation based on GIS in Zhejiang Province. Transactions of the Chinese Society of Agricultural Engineering, 2011, 27(3): 231-236. doi: 10.3969/j.issn.1002-6819.2011.03.044
[12]	Zhang M J, Zhao Y X. The climate suitability zoning method of the solar greenhouse in the northern of China. J Appl Meteor Sci, 2013, 24(3): 278-286. doi: 10.3969/j.issn.1001-7313.2013.03.003
[13]	Luo J Y, Yan L H, Xu D H, et al. Climate adaptability analysis for planting regions of high quality green tea in Tongren District. J Tea Sci, 2011, 31(2): 136-142. doi: 10.3969/j.issn.1000-369X.2011.02.010
[14]	Zhang F. Evaluation and Zoning on Environmental Suitability of Tea Cultivation in Different Distrcits of Southern Shaanxi. Yangling: Northwest A & F University, 2018.
[15]	Zhu L, Ye D X, Chen J W, et al. The drought risk assessment and division of winter wheat in Shaanxi Province. J Appl Meteor Sci, 2002, 13(2): 201-206. doi: 10.3969/j.issn.1001-7313.2002.02.009
[16]	Huang C J, Zhao Y Q, Yi X R. Climatic suitability regionalization for tea planting in Nanjian, Yunnan based on GIS. Agriculture and Technology, 2019, 39(24): 116-121.
[17]	He Y C, Zhang M S, Huang C B, et al. Study on the climatic suitability division of planting tea in Yunnan Province based on GIS. Journal of Anhui Agricultural Sciences, 2015, 43(25): 218-221. doi: 10.3969/j.issn.0517-6611.2015.25.080
[18]	Wang C L, Liu J L, Zhou G Y, et al. Research on real-time cold-disaster watching and prediction in Guangdong Province based on GIS technology. J Appl Meteor Sci, 2003, 14(4): 487-495. doi: 10.3969/j.issn.1001-7313.2003.04.013
[19]	Phillips S J, Dudik M. Modeling of species distributions with Maxent: New extensions and a comprehensive evaluation. Ecography, 2008, 31(2): 161-175. doi: 10.1111/j.0906-7590.2008.5203.x
[20]	Li M Y, Ju Y W, Kumar S, et al. Modeling potential habitat for alien species of Dreissena polymorpha in the continental USA. Acta Ecologica Sinica, 2008, 28(9): 4253-4258. doi: 10.1016/S1872-2032(08)60080-3
[21]	Elith J, Graham C H, Anderson R P, et al. Novel methods improve prediction of species' distributions from occurrence data. Ecography, 2010, 29(2): 129-151. http://new.med.wanfangdata.com.cn/Paper/Detail?id=PeriodicalPaper_JJ029129003
[22]	Chen J X, Duan C C, Yan S J. Climate suitability regionalization of pecan based on MaxEnt model. J Appl Meteor Sci, 2020, 31(5): 631-640. doi: 10.11898/1001-7313.20200510
[23]	Duan J Q, Zhou G S. Climatic suitability of double rice planting regions in China. Scientia Agricultura Sinica, 2012, 45(2): 218-227. doi: 10.3864/j.issn.0578-1752.2012.02.003
[24]	Duan J Q, Zhou G S. Potential distribution of rice in China and its climate characteristics. Acta Ecologica Sinica, 2011, 31(22): 6659-6668.
[25]	Sun J S, Zhou G S. Inter-decadal variability of winter wheat planting zone in China during 1961 to 2010 simulated by Maximum Entropy(MaxEnt). Chinese Journal of Agrometeorology, 2012, 33(4): 481-487. doi: 10.3969/j.issn.1000-6362.2012.04.002
[26]	He Q J, Zhou G S. The Climate suitability of the distribution of corn planting areas. Chinese Science Bulletin, 2012, 57(4): 267-275.
[27]	Tang C Q, Xu D L, Zhou J F, et al. Analysis on the distribution status of tea varieties in Jiangsu Province. China Tea, 2009, 30(1): 24-25. doi: 10.3969/j.issn.1000-3150.2009.01.010
[28]	Zhao H, Du Z X, Wu Q, et al. The planting status and research progress of tea plant in Henan Province. Journal of China Agricultural Resources and Regional Planning, 2015, 36(1): 102-106.
[29]	Chen D M, He J W, Fan W W. The flowering of different varieties of tea tree in Hainan and functional component analysis of tea tree flowers. Farm Products Processing, 2018, 2(4): 52-53;57.
[30]	Zhao C Y, Zhou L H, Luo J W, et al. AFLP analysis of genetic diversity of tea plant germplasms in Guangdong Province. Journal of Tea Science, 2006, 26(4): 249-252;258. doi: 10.3969/j.issn.1000-369X.2006.04.003
[31]	Wang X C, Chen L, Yang Y J. Biochemical diversity analysis of tea germplasms in Guangxi. Journal of Plant Genetic Resources, 2010, 11(3): 309-314;319.
[32]	Jaynes E T. Information theory and statistical mechanics. Ⅱ. Physical Review, 1957, 108(2): 171-190. doi: 10.1103/PhysRev.108.171
[33]	Beaumont L J, Hughes L, Poulsen M. Predicting species distributions: Use of climatic parameters in BIOCLIM and its impact on predictions of species' current and future distributions. Ecological Modelling, 2005, 186(2): 251-270. doi: 10.1016/j.ecolmodel.2005.01.030
[34]	Qu Z J, Zhou G S, Wei Q P. Meteorological disaster index and risk assessment of frost injury during apple florescence. J Appl Meteor Sci, 2016, 27(4): 385-395. doi: 10.11898/1001-7313.20160401
[35]	Jayasinghe S L, Kumar L. Modeling the climate suitability of tea[Camellia sinensis (L. ) O. Kuntze] in Sri Lanka in response to current and future climate change scenarios. Agricultural and Forest Meteorology, 2019, 272/273(3): 102-117. http://www.sciencedirect.com/science/article/pii/S0168192319301388
[36]	Li Z, He L X. Tea and Meteorology. Beijing: China Meteorological Press, 2005.
[37]	Jin Z F, Yao Y P, et al. Research on Key Technique of Meteorological Support for the Tea Production in Regions South of the Yangtze River. Beijing: China Meteorological Press, 2017.
[38]	Jiang H C, Zhao H Y. Research on the characteristics of Chinese tea geographical indication and brand strategy. Journal of China Agricultural Resources and Regional Planning, 2009, 30(4): 58-63.