基于空间技术的烤烟种植生态环境综合评价分析

doi:10.3724/SP.J.1258.2012.00047

摘要/Abstract

摘要：

光照、气温、土壤类型、降水量、土壤含水量、海拔、坡度、重金属污染等自然生态环境对烤烟的分布、生长发育及品质有重要影响, 同时也是烤烟种植优化配置必不可少的基础信息。基于空间技术的烤烟种植生态环境综合评价分析的目的就是应用遥感、地理信息等空间技术, 实现烤烟种植区域生态环境信息的三维立体采集及烤烟种植生态环境适宜性空间分布信息评价。主要研究内容是分析影响烤烟种植及品质的生态因子, 应用ARCGIS空间分析功能获得海拔、坡度因子, 应用常规的遥感模型反演植被指数、地表温度、土壤含水量和太阳辐射因子, 应用Kriging插值加密地球化学数据建立烤烟种植生态环境综合评价指标体系。通过基于空间技术的烤烟种植生态环境适宜性等级空间分布优化分析结果与实验区烤烟种植示范基地和烤烟种植区域的调整结果进行对比, 可知该方法是有效的。

关键词: 综合分析模型, 生态环境, 生态适宜性, 空间技术, 空间布局优化, 烤烟

Abstract:

Aims Our objective is to provide a scientific basis for optimization of tobacco planting.
Methods First, we analyzed the ecological factors that impact tobacco’s cultivation and quality. Second, we applied ARCGIS spatial analysis to obtain elevation and slope factors. Third, we obtained the vegetation index, surface temperature, soil moisture and solar radiation factor based on conventional remote sensing models. Fourth, we used Kriging interpolation to encrypt the geochemical data. Then we applied AHP analysis to establish a comprehensive evaluation system for tobacco cultivation.
Important findings Several environmental factors have a major impact on tobacco distribution, growth and quality. These include light, temperature, soil type, rainfall, soil moisture, altitude, slope and heavy metal pollution. These factors are also essential for optimizing allocation of tobacco cultivation. The spatial distribution of tobacco cultivation in the experimental area needs to be optimized.

Key words: comprehensive analysis model, ecological environment, ecological suitability, space technology, spatial layout optimization, tobacco

蒋样明, 崔伟宏, 董前林. 基于空间技术的烤烟种植生态环境综合评价分析. 植物生态学报, 2012, 36(1): 47-54. DOI: 10.3724/SP.J.1258.2012.00047

JIANG Yang-Ming, CUI Wei-Hong, DONG Qian-Lin. Comprehensive evaluation and analysis of tobacco planting environment based on space technology. Chinese Journal of Plant Ecology, 2012, 36(1): 47-54. DOI: 10.3724/SP.J.1258.2012.00047

导出引用管理器 EndNote|Ris|BibTeX

链接本文: https://www.plant-ecology.com/CN/10.3724/SP.J.1258.2012.00047

https://www.plant-ecology.com/CN/Y2012/V36/I1/47

图/表 10

参考文献 15

[1]	Dong XQ (董谢琼), Xu H (徐虹), Yang XP (杨晓鹏), Yang Y (杨勇), Zhou GC (周桂春) (2005). GIS-based study of a method of flue-cured tobacco planting suitability regionalization in Yunnan Province. Chinese Journal of Agrometeorology (中国农业气象), 26(1),16-19. (in Chinese with English abstract)
[2]	Fu P (2000). A Geometric Solar Radiation Model with Applications in Landscape Ecology. PhD dissertation, Department of Geography, University of Kansas, Lawrence.75-82.
[3]	Gillies RR, Carlson TN, Gui J, Kustas WP, Humes KS (1997). A verification of the ‘triangle’ method for obtaining surface soil water content and energy fluxes from remote measurements of the normalized difference vegetation index (NDVI) and surface radiant temperature. International Journal of Remote Sensing, 18,3145-3166.
[4]	Guérif M, Duke CL (2000). Adjustment procedure of a crop model to the site specific characteristics of soil and crop using remote sensing data assimilation. Agriculture, Ecosystems and Environment, 81,57-69.
[5]	Jiang YM (蒋样明), Cui WH (崔伟宏), Dong QL (董前林), Peng GX (彭光雄) (2010). Study on the 60-year’s temperature variation in China on multiple time scales. Ecology and Environment(生态环境学报), 19,2017-2022. (in Chinese with English abstract)
[6]	Lu KD (陆魁东), Huang WH (黄晚华), Xiao HQ (肖汉乾), Zhang C (张超), Xie BC (谢佰承) (2008). Application of climatic factors’ gridding technology in tobacco-planting regionalization in Hunan Province. Chinese Journal of Ecology (生态学杂志), 27,290-294. (in Chinese with English abstract)
[7]	Lü XF (吕晓芳), Wang YL (王仰麟), Zhang YL (张镱锂), Shen YC (申元村) (2007). Research on agricultural func- tions regionalization and sustainable development strategy of ecologically vulnerable environment in the west of China—a case of Yanchi County in Ningxia Hui Autono- mous region. Journal of Natural Resources(自然资源学报), 22,177-184. (in Chinese with English abstract)
[8]	Qi SH (齐述华), Wang CY (王长耀), Niu Z (牛铮) (2003). Evaluating soil moisture status in China using the temperature/vegetation dryness index (TVDI). Journal of Remote Sensing (遥感学报), 7,420-427. (in Chinese with English abstract)
[9]	Saaty TL, Bennett JP (1997). A theory of analytical hierarchies applied to political candidacy. Behavioral Science, 22,237-245. DOI URL
[10]	Sandholt I, Rasmussen K, Andersen J (2002). A simple interpretation of the surface temperature/vegetation index space for assessment of soil moisture status. Remote Sensing of Environment, 79,213-224.
[11]	Shao Y (邵岩) (2006). Research on Tobacco Rotation Planning in Yunnan Province(云南省烤烟轮作规划研究). Science Press, Beijing.2-6. (in Chinese)
[12]	Wu MQ (吴孟泉), Cui WH (崔伟宏), Li JG (李景刚) (2007). Monitoring drought in mountainous area based on temperature/vegetation dryness index (TVDI). Arid Land Geography (干旱区地理), 30,30-35. (in Chinese with English abstract)
[13]	Xu ZC (许自成), Li YY (黎妍妍), Xiao HQ (肖汉乾), Wang L (王林) (2008). Evaluation of ecological factors and flue- cured tobacco quality in tobacco-growing areas in southern Hunan, China. Journal of Plant Ecology (Chinese Version)(植物生态学报), 32,226-234. (in Chinese with English abstract)
[14]	Yang X (杨曦), Wu JJ (武建军), Yan F (闫峰), Zhang J (张洁) (2009). Assessment of regional soil moisture status based on characteristics of surface temperature/vegetation index space. Acta Ecologica Sinica (生态学报), 29,1205-1216. (in Chinese with English abstract)
[15]	Zhai WX (翟文侠), Wang S (王舒), Huang XJ (黄贤金), Du WX (杜文星), Zhong TY (钟太洋) (2007). Applicability evaluation on the natural resources of organic agriculture —a case studies from Lishui County, Jiangsu Province. Chinese Journal of Eco-Agriculture (中国生态农业学报), 15,169-172. (in Chinese with English abstract)

A	B₁	B₂	B₃	B₄	B₁	C₁	C₂	B₂	C₃	C₄	C₅	B₃	C₆	C₇	B₄	C₈	C₉	C₁₀	C₁₁
B₁	1	4	3	2	C₁	1	2	C₃	1	3	3	C₆	1	5	C₈	1	2	3	5
B₂	1/4	1	2	1	C₂	1/2	1	C₄	1/3	1	2	C₇	1/5	1	C₉	1/2	1	2	3
B₃	1/3	1/2	1	1/2				C₅	1/3	1/2	1				C₁₀	1/3	1/2	1	2
B₄	1/2	1	2	1											C₁₁	1/5	1/3	1/2	1

A	B₁	B₂	B₃	B₄	B₁	C₁	C₂	B₂	C₃	C₄	C₅	B₃	C₆	C₇	B₄	C₈	C₉	C₁₀	C₁₁
B₁	1	4	3	2	C₁	1	2	C₃	1	3	3	C₆	1	5	C₈	1	2	3	5
B₂	1/4	1	2	1	C₂	1/2	1	C₄	1/3	1	2	C₇	1/5	1	C₉	1/2	1	2	3
B₃	1/3	1/2	1	1/2				C₅	1/3	1/2	1				C₁₀	1/3	1/2	1	2
B₄	1/2	1	2	1											C₁₁	1/5	1/3	1/2	1

A-B	B₁-C_i	B₂-C_i	B₃-C_i	B₄-C_i
B_i	C_i (K)	C_i (K)	C_i(K)	C_i (K)
0.487 2	0.666 7	0.593 6	0.833 3	0.482 9
0.183 3	0.333 3	0.249 3	0.166 7	0.272 0
0.116 4		0.157 1		0.157 0
0.213 1				0.088 1
λ_max = 4.096 8	λ_max = 2.000 0	λ_max = 3.053 6	λ_max=2.000 0	λ_max=4.014 5

A-B	B₁-C_i	B₂-C_i	B₃-C_i	B₄-C_i
B_i	C_i (K)	C_i (K)	C_i(K)	C_i (K)
0.487 2	0.666 7	0.593 6	0.833 3	0.482 9
0.183 3	0.333 3	0.249 3	0.166 7	0.272 0
0.116 4		0.157 1		0.157 0
0.213 1				0.088 1
λ_max = 4.096 8	λ_max = 2.000 0	λ_max = 3.053 6	λ_max=2.000 0	λ_max=4.014 5

A-B	B₁-C_i	B₂-C_i	B₃-C_i	B₄-C_i
B_i	C_i (K)	C_i (K)	C_i (K)	C_i (K)
CI= 0.032 3	CI= 0	CI= 0.026 8	CI= 0	CI= 0.004 8
RI= 0.890 0	RI= 0	RI= 0.520 0	RI= 0	RI= 0.890 0
CR= 0.036 3	n ≤ 2	CR= 0.051 5	n≤ 2	CR= 0.005 4