检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:王雅婷 同小娟[1] 管崇帆 史倩 张劲松[2,3] 李俊 林小乔[1] WANG Yating;TONG Xiaojuan;GUAN Chongfan;SHI Qian;ZHANG Jinsong;LI Jun;LIN Xiaoqiao(School of Ecology and Nature Conservation,Beijing Forestry University,Beijing 100083,China;Research Institute of Forestry,Chinese Academy of Forestry,Beijing 100091,China;Henan Xiaolangdi Earth Critical Zone National Research Station on the Middle Yellow River,Jiyuan 454650,Henan,China;Key Laboratory of Water Cycle and Related Land Surface Processes,Institute of Geographical Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing 100101,China)
机构地区:[1]北京林业大学生态与自然保护学院,北京100083 [2]中国林业科学研究院林业研究所,北京100091 [3]河南黄河小浪底关键带国家野外科学观测研究站,河南济源454650 [4]中国科学院地理科学与资源研究所陆地水循环及地表过程重点实验室,北京100101
出 处:《应用生态学报》2023年第8期2017-2028,共12页Chinese Journal of Applied Ecology
基 金:国家重点研发计划项目(2020YFA0608101);国家自然科学基金项目(32271875,31872703)资助。
摘 要:人工林在陆地生态系统中起着重要的碳汇作用。本研究基于我国25个研究区的5个主要造林树种(刺槐、栓皮栎、杉木、樟子松和油松)的树木年轮数据,利用各研究区不同树种的生物量方程计算标准木的年均净初级生产力(NPP)进而扩展到林分尺度,利用InTEC模型及Law模型模拟各研究区不同人工林NPP与林龄的关系。结果表明:刺槐林、杉木林和油松林NPP随林龄表现出先增加后逐渐平稳的趋势,栓皮栎林和樟子松林NPP达到峰值后则出现下降的趋势。不同人工林NPP-林龄拟合曲线出现拐点的顺序为:樟子松林11年、杉木林14年、油松林16年、刺槐林20年。其拐点NPP分别为6.65、7.58、4.70和2.59 t·hm^(-2)·a^(-1)。InTEC及Law NPP-林龄模型在大尺度范围内都有较高的拟合精度,樟子松林InTEC模型R2最低(R2=0.95),均方根误差(RMSE)为0.55 t·hm^(-2)·a^(-1);杉木林InTEC模型R2最高(R2=0.99),RMSE为0.26 t·hm^(-2)·a^(-1)。我国主要人工林NPP-林龄关系的构建为长时间尺度人工林碳汇模拟估算提供了理论依据,并为造林树种的选择提供科学参考。Plantation forests play an important role in carbon sink in terrestrial ecosystems.Based on tree rings of five main plantation tree species(Robinia pseudoacacia,Quercus variabilis,Cunninghamia lanceolata,Pinus sylvestris var.mongolica,and Pinus tabuliformis)at 25 sites in China,we calculated the average annual NPP of standard trees in each study area by the biomass equations and extended to the stand scale.The relationships between NPP and stand age were fitted by the InTEC and Law models.The results showed that NPP of R.pseu-doacacia,C.lanceolata,and P.tabuliformis plantations increased to a peak and then leveling off with stand age,while that of Q.variabilis and P.sylvestris var.mongolica plantations reached a peak and then showed a decreasing trend.The inflection points of NPP-stand age curve for different planatations was 11 years for P.sylvestris var.mongolica,14 years for C.lanceolata,16 years for P.tabuliformis,and 20 years for R.pseudoacacia.The NPP peak was 6.65,7.58,4.70 and 2.59 t·hm^(-2)·a^(-1),respectively.Both the InTEC and Law NPP-stand age models had high fitting accuracy at a large scale,with the lowest R2 of 0.95 and RMSE of 0.55 t·hm^(-2)·a^(-1)for the P.sylvestris var.mongolica InTEC model and the highest R2 of 0.99 and RMSE of 0.26 t·hm^(-2)·a^(-1)for the C.lanceolata InTEC model.The construction of NPP-stand age relationship for major plantations in China provided mechanistic support for the estimation of carbon sinks in plantations at long time scales and provided a reference for the diversification of afforestation tree species selection.
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.117