YE Guang-zhi, WEI Sheng-zhao, ZHANG Guo-xian, LIU Xiong, LI Xue-sen, HUANG Cong-de. Spatial Pattern Analysis of Unit Area Stock in Miyi County Based on Geostatistics[J]. Journal of Sichuan Forestry Science and Technology, 2019, 40(6): 71-74. doi: 10.16779/j.cnki.1003-5508.2019.06.013
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YE Guang-zhi, WEI Sheng-zhao, ZHANG Guo-xian, LIU Xiong, LI Xue-sen, HUANG Cong-de. Spatial Pattern Analysis of Unit Area Stock in Miyi County Based on Geostatistics[J]. Journal of Sichuan Forestry Science and Technology, 2019, 40(6): 71-74. doi: 10.16779/j.cnki.1003-5508.2019.06.013
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Spatial Pattern Analysis of Unit Area Stock in Miyi County Based on Geostatistics
More Information
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1. Panzhihua Forestry Scientical and Technical Promotion Station, Panzhihua 617000, China;
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2. College of Forestry, Sichuan Agricultural University, Chengdu 611130, China
- Received Date: 2019-06-24
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Abstract
The spatial distribution study of forest unit area stock was vital for the development of forest management strategies. The spatial pattern of forest stock per unit area was studied by using geostatistics with the survey data of forest resource planning and design in Miyi county.The results showed that the most suitable semi-variance theoretical model was the exponential model for unit area stock. The global Moron I and Z values of unit area stock were 0.79 and 446.71 respectively, showing a strong trend of aggregation. In addition, the Nugget C0 of Miyi county's unit area stock was 50%, indicating a moderate spatial autocorrelation, which was affected by both structural and random factors. By the ARCGIS ordinary Kriging interpolation, the spatial distribution map was drawn for forest unit area stock in Miyi county.The results of geostatistics showed that the average unit area stock of was 50.76 m3·hm-2, under a pattern of decreasing from west to east, consistent with changes in topography, and contrary to the changes of population density in Miyi county. These results indicated that the spatial distribution of unit area stock was affected by both natural and human factors in Miyi county.
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References
|
[1]
|
杨明星, 徐天蜀, 牛晓花, 等. 基于Sentinel-1A雷达影像的思茅松林蓄积量估测[J]. 西部林业科学, 2019, 48(02):52~58. |
|
[2]
|
廖顺宝, 许立民. 森林蓄积量调查数据空间化的方法研究[J]. 中南林业科技大学学报, 2013, 33(11):1~7. |
|
[3]
|
|
|
[4]
|
|
|
[5]
|
闫海冰, 韩有志, 杨秀清, 等. 关帝山云杉天然更新与土壤有效氮素异质性的空间关联性[J]. 应用生态学报, 2010, 21(3):533~540. |
|
[6]
|
孙钰森,王维芳,李国春. 基于地理加权回归克里格模型的帽儿山地区森林碳储量空间分布[J]. 应用生态学报, 2019, 30(5):1~9. |
|
[7]
|
戚玉娇, 张广奇, 熊志斌, 等. 喀斯特常绿落叶阔叶混交林粗木质残体的空间分布格局[J]. 生态学报, 2019, 39(13):1~10. |
|
[8]
|
戴前石, 刘金山. 青藏高原贡觉县森林规划设计因子的地统计学分析[J]. 西南林业大学学报, 2017(3):146~151. |
|
[9]
|
刘爱利. 地统计学概论[M]. 科学出版社, 2012. |
|
[10]
|
张峰, 杜群, 葛宏立, 等. 基于地统计学和CFI样地的浙江省森林碳空间分布研究[J]. 生态学报, 2012, 32(16):5275~5286. |
|
[11]
|
Cambardella C A, Moorman T B, Parkin T B,et al. Field-scale variability of soil properties in central Iowa soils[J]. Soil Science Society of America Journal, 1994, 58(5):1501~1511. |
|
[12]
|
|
|
[13]
|
戴巍, 赵科理, 高智群, 等. 典型亚热带森林生态系统碳密度及储量空间变异特征[J]. 生态学报, 2017(22):157~167. |
|
[14]
|
刘晓梅, 布仁仓, 邓华卫, 等. 基于地统计学丰林自然保护区森林生物量估测及空间格局分析[J]. 生态学报, 2010, 31(16). |
|
[15]
|
王海宾, 彭道黎, 范应龙, 等. 基于辅助信息的森林蓄积量空间模拟[J]. 农业机械学报, 2016, 47(6):283~289. |
|
[16]
|
Arthur G, Ord J K. The analysis of spatial association by use of distance statistics[J].Geographical Analysis, 1992, 24(3):127~145 |
|
[17]
|
Zhao K L, Fu W J, Liu X M, et al. Spatial variations of concentrations of copper and its speciation in the soilrice system in Wenling of southeastern China. Environmental Science and Pollution Research, 2014, 21(11):7165~7176. |
|
[18]
|
Tang G A. Introduction to Spatial Analysis Using ArcGIS. Beijing:Science Press, 2006:452~455. |
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