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作 者:吴恒 罗春林[1] 刘智军[1] WU Heng;LUO Chun-lin;LIU Zhi-jun(Southwest forestry university,Kunming 650224,China;Kunming survey&design institute of state forestry and grassland administration,Kunming 650216,China)
机构地区:[1]西南林业大学,云南昆明650224 [2]国家林业和草原局昆明勘察设计院,云南昆明650216
出 处:《草原与草坪》2022年第5期88-94,共7页Grassland and Turf
基 金:国家林业和草原局立项“南方草地资源生态监测方法研究”(2020042018-05)。
摘 要:草原资源外业调查数表的研制,对草原资源的经营和管理,编制草产量调查表具有实践意义。研究采用不同的备选模型和哑变量设置方法进行模型拟合,以相对等级法为例编制调查数表,并进行了落点检验。结果表明:Chapman拟合决定系数平均值为0.62,拟合结果优于其他备选模型;以草地类型作为哑变量能显著提高模型的拟合效果,相较于其他哑变量设置方法,拟合决定系数提高了0.26。各草地类型草产量表落点检验值均大于75%,基于草地分类的草产量数表编制方法能满足草原资源外业调查草产量的估计要求。Grassland is the largest terrestrial ecosystem in China and one of the main battlefields of ecological civilization construction. Under the strategic background of carbon peak and carbon neutral,rapid and accurate survey and monitoring results can guide grassland protection and restoration more scientifically. The lack of inventory tables for grassland productivity has limited the management grassland resources for a long time. Therefore,it is of practical significance to establish survey tables for grass yield. In this paper,different alternative models and dummy variable setting methods were used for model fitting,and the ratio method was used to compile the inventory table,and the drop point test was carried out. The results show that the average determination coefficient of Chapman model fitting is 0. 62,and the fitting result is better than other alternative models. Taking grassland type as dummy variable can significantly improve the fitting effect of the model. Compared with other dummy variable setting methods,the fitting determination coefficient is increased by 0. 26. The drop test value of the yield table of each grassland type is greater than 75%. In conclusion,the preparation method of grass yield number table based on grassland classification can meet the requirements of grass yield estimation in field survey of grassland resources.
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