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作 者:阴倩怡 高婷婷[1] 刘鸿芳[1] 魏椿萱 王虎成[1]
机构地区:[1]草地农业生态系统国家重点实验室,兰州大学草地农业科技学院,甘肃兰州730020
出 处:《草业科学》2015年第3期464-469,共6页Pratacultural Science
基 金:国家级大学生创新创业训练计划(201310730101);农业部公益性行业专项(201203041);科技基础性工作专项项目(2012FY111900)
摘 要:系列干重法(Dry-Weight-Rank Method,DWR)是一种通过矫正样方建立反演模型,大范围估测草地植物组成及生物量的方法。该技术最初普遍应用于栽培草地,极少用于天然草地。近年来,澳洲和欧洲逐渐将此项技术扩展。为证明该方法能否适用于我国天然草地的调查,本研究以甘南碌曲高寒草甸和内蒙古四子王旗典型草原为试验区,将DWR与样方技术(Conventional Method,CM)做比较。结果表明,高寒草甸中,以常规方法测定的优势种为高山嵩草(Kobresia pygmaea)、黑褐苔草(Carex atrofusca)、鹅绒委陵菜(Potentilla anserine),以DWR方法测定的优势种为高山嵩草、草地早熟禾(Poa pratensis)、鹅绒委陵菜;典型草原以常规方法和DWR方法测定的优势种均为克氏针茅(Stipa krylovii)、冰草(Agropyron cristatum)和糙隐子草(Cleistogenes squarrosa);且两种技术测得的高寒草甸地上总生物量(73.18 g·m-2,DWR;82.84 g·m-2,CM)差异不显著(P>0.05),典型草原植被地上总生物量(89.67 g·m-2,DWR;88.10 g·m-2,CM)亦不显著(P>0.05)。DWR方法在我国天然草地植被评估中具有一定可行性。Dry-Weight-Rank Method( DWR) is a method of estimating the substance and biomass of grassland through the corrected quadrat and establishing the calculation models.The method was originally widely used in pasture,rarely for grassland.However,in recent years,it had been gradually extending to grassland in Australia and Europe.To prove that if this method could apply to the investigation of grassland,we chose the alpine meadows of Luqu in the south of Gansu Province and the typical steppe of Siziwangqi in Inner Mongolia as the study area,which used to compare the dominant species and aboveground biomass using DWR and conventional method( CM).The results showed that the dominant species are Kobresia pygmaea,Carex atrofusca,Potentilla anserine by CM and Kobresia pygmaea,Poa pratensis,Potentilla anserine by DWR in alpine meadow,and Stipa krylovii.Agropyron cristatum,Cleistogenes squarrosa by CM and DWR in typical steppe.There were no significant difference in the total aboveground biomass in alpine meadow( 73.18 g·m- 2,DWR; 82.84 g·m- 2,CM)( P > 0.05) and the same applies to typical steppe( 89.67 g·m- 2,DWR; 88.10 g·m- 2,CM)( P > 0.05) between two methods.In a conclusion,DWR is suitable to a certain extent for evaluation of natural grassland in China.
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