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Two-stage sequential sampling for two rare species in western Inner Mongolia of China  ( SCI-EXPANDED收录)  

文献类型:期刊文献

中文题名:Two-stage sequential sampling for two rare species in western Inner Mongolia of China

英文题名:Two-stage sequential sampling for two rare species in western Inner Mongolia of China

作者:Shi JingJing[1,2] Zhao TianZhong[1] Lei YuanCai[2]

第一作者:Shi JingJing

通信作者:Zhao, TZ[1]

机构:[1]Beijing Forestry Univ, Sch Informat Sci & Technol, Beijing 100083, Peoples R China;[2]Chinese Acad Forestry, Res Inst Forest Resource Informat Tech, Beijing 100091, Peoples R China

年份:2013

卷号:58

期号:4

起止页码:507-516

中文期刊名:科学通报:英文版

外文期刊名:CHINESE SCIENCE BULLETIN

收录:;Scopus(收录号:2-s2.0-84874509805);WOS:【SCI-EXPANDED(收录号:WOS:000315445500011)】;PubMed;

基金:This work was supported by State Forestry Administration (201204510 and 200904003), National Natural Science Foundation of China (31170588) and Social commonweal Research Progvams of Ministry of Science and Technology (2005DIB5J142). The authors thank Dr. David Smith in USGS for providing information and software.

语种:英文

中文关键词:顺序采样;内蒙古西部;物种;简单随机抽样;中国;采样方法;采样设计;密度估计

外文关键词:two-stage sequential sampling; two-stage sampling; simple random sampling; rare and clustered population; Tamarix chinensis; Elaeagnus angustifolia

分类号:O212.2;TN95

摘要:To evaluate the efficiencies of different sampling methods for a rare and clustered population, we investigated the sampling effects for the two species Tamarix chinensis (Salt cedar) and Elaeagnus angustifolia (Russian olive) in western Inner Mongolia with two-stage sequential sampling, which is a new sampling method, traditional simple random sampling and two-stage sampling. Based on two-stage sequential sampling and two-stage sampling, each population was partitioned into four primary sampling units, and then two of them were randomly selected. Sampling designs were simulated based on the conditions of five secondary sampling unit areas, two criterion values, five initial secondary sampling units and two sequential secondary sampling units in 1000 repetitions. To evaluate the performance of the sampling designs for each method, the variance and relative error of the density estimates were used. The relative sampling efficiencies of the three sampling methods were compared using the same final sampling sizes. We analyzed the sampling efficiency generated by two-stage sequential sampling and found that it yielded smaller variances than those of simple random sampling and two-stage sampling in all sampling designs, and that two-stage sampling was more efficient than simple random sampling. Density estimates from the two-stage sequential sampling were very close to the true values. We also determined the optimum secondary sampling unit areas for the two species in the two-stage sequential sampling. It was best for Tamarix chinensis and Elaeagnus angustifolia when the secondary sampling unit areas were 200 and 100 m2 , respectively.
To evaluate the efficiencies of different sampling methods for a rare and clustered population, we investigated the sampling effects for the two species Tamarix chinensis (Salt cedar) and Elaeagnus angustifolia (Russian olive) in western Inner Mongolia with two-stage sequential sampling, which is a new sampling method, traditional simple random sampling and two-stage sampling. Based on two-stage sequential sampling and two-stage sampling, each population was partitioned into four primary sampling units, and then two of them were randomly selected. Sampling designs were simulated based on the conditions of five secondary sampling unit areas, two criterion values, five initial secondary sampling units and two sequential secondary sampling units in 1000 repetitions. To evaluate the performance of the sampling designs for each method, the variance and relative error of the density estimates were used. The relative sampling efficiencies of the three sampling methods were compared using the same final sampling sizes. We analyzed the sampling efficiency generated by two-stage sequential sampling and found that it yielded smaller variances than those of simple random sampling and two-stage sampling in all sampling designs, and that two-stage sampling was more efficient than simple random sampling. Density estimates from the two-stage sequential sampling were very close to the true values. We also determined the optimum secondary sampling unit areas for the two species in the two-stage sequential sampling. It was best for Tamarix chinensis and Elaeagnus angustifolia when the secondary sampling unit areas were 200 and 100 m(2), respectively.

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