吉兰泰盐湖区优势灌丛生物量分配特征及模型研建  

Research on biomass allocation characteristics and model construction for dominant shrubs in Jilantai salt lake area

作　　者：魏亚娟 左小锋 高亮 康帅 刘红伟 何建宁 达娃次仁 晋卓拉姆 WEI Yajuan;ZUO Xiaofeng;GAO Liang;KANG Shuai;LIU Hongwei;HE Jianning;DAWA Ciren;JINZHUO Lamu(College of Ecology and Environment,Baotou Teachers’College,Baotou 014030,Inner Mongolia,China;College of Desert Control Science and Engineering,Inner Mongolia Agricultural University,Hohhot 010018,Inner Mongolia,China;Water Resources Bureau of Dazi District,Lhasa City,Lhasa 850100,Xizang,China;Agriculture,Rural Affairs,Science and Technology Water Resources Bureau of Lhasa Duilong Deqing District,Lhasa 851400,Xizang,China)

机构地区：[1]包头师范学院生态环境学院,内蒙古包头014030 [2]内蒙古农业大学沙漠治理学院,内蒙古呼和浩特010018 [3]拉萨市达孜区水利局,西藏拉萨850100 [4]拉萨市堆龙德庆区农业农村和科技水利局,西藏拉萨851400

出　　处：《中南林业科技大学学报》2025年第2期175-184,共10页Journal of Central South University of Forestry & Technology

基　　金：国家自然科学基金地区项目(32460028);内蒙古自治区高等学校碳达峰碳中和研究专项(STZX202213);高层次人才引进项目(BTTCRCQD2024-003);包头市青年创新人才项目;包头师范学院高水平研究成果培育项目自然科学类一般项目(BSYKJ2021-ZY06)。

摘　　要：【目的】为了探究吉兰泰盐湖区4种优势灌丛生物量分配格局,并建立各营养器官生物量预测模型,从而为吉兰泰盐湖区人工防护林生物量和碳汇能力做出精准评估。【方法】以吉兰泰盐湖区4种优势灌丛(花棒、沙拐枣、梭梭和柽柳)为研究对象,将实测因子(株高(H)、基径(D)、冠幅(C))及其组合因子(CH、DH和D^(2)H)作为自变量进行最优模型拟合。探讨各营养器官的最优生物量模型,并对模型的拟合效果进行精度验证。【结果】(1)吉兰泰盐湖区4种单株优势灌丛生物量介于28.19~43.44kg,平均为34.65kg;单株灌丛生物量表现为花棒>梭梭>沙拐枣>柽柳;(2)4种优势灌丛叶生物量与枝干生物量、叶生物量与根系生物量和枝系生物量与根系生物量间存在极显著相关(P<0.01);(3)4种荒漠灌丛根冠比介于0.41~0.54,各器官生物量依次为枝干>根系>叶片。4种优势灌丛地上和地下生物量拟合斜率介于0.78~1.23,与1有显著差异,表明4种荒漠优势灌丛地上和地下生物量均呈异速生长关系;(4)4种优势灌丛全株生物量预测模型R^(2)值均在0.825以上,且生物量最优模型的预测精度在0.85以上,具有较好的预测精度。【结论】幂函数和二次函数形式为生物量最优模型,适用于吉兰泰盐湖区特定树种生物量的精确估算。【Objective】This study aimed to investigate the biomass allocation pattern of four dominant shrubs,and to establish a prediction model for individual nutrient organ biomass,thus making an accurate assessment for biomass and carbon sequestration of plantations in the Jilantai salt lake area.【Method】This study used four dominant shrubs(Hedysarum scoparium,Calligonum mongolicum,Haloxylon ammodendron and Tamarix chinensis)as research objects in the Jilantai salt lake area,and measured factors(plant height(H),basal diameter(D),crown width(C))and their combination factors(CH,DH and D^(2)H)were used as independent variables for optimal model fitting.We investigated the optimal biomass model for various nutrient organs and verified model fitting with accuracy.【Result】(1)4 kinds of single dominant shrub biomass ranged from 28.19 to 43.44 kg in Jilantai salt lake area,with an average of 34.65 kg;Total biomass of single shrubs showed as follows:Hedysarum scoparium>Haloxylon ammodendron>Calligonum mongolicum>Tamarix chinensis;(2)The four dominant shrubs showed highly significant correlations between leaf biomass and branch biomass,leaf biomass and root biomass,and branch biomass and root biomass(P<0.01);(3)Root-shoot ratios of four dominant shrubs ranged from 0.41 to 0.54,and the biomass of individual organs ranged from:branches>roots>leaves.The slopes of the fitted equations of the four dominant shrubs ranged from 0.78 to 1.23,with significant difference from 1,indicating that an allometric growth relationship between above-and underground biomass;(4)The R^(2) values of different components shrub biomass prediction models were more than 0.825 for four dominant shrubs,and prediction accuracy of the optimal biomass model was more than 0.85,indicating good prediction accuracy.【Conclusion】The power and quadratic forms were optimal biomass models,and were suitable for an accurate estimation for biomass from specific tree species in Jilantai salt lake area.

关 键 词：灌丛 生物量模型 分配格局 根冠比 盐湖区 吉兰泰 

分 类 号：S793[农业科学—林木遗传育种]