农田防护林带主根生物量空间分布

doi:10.13304/j.nykjdb.2017.0694

中国农业科技导报 ›› 2018, Vol. 20 ›› Issue (9): 86-94.DOI: 10.13304/j.nykjdb.2017.0694

• 资源环境生物药物生物质转化 • 上一篇下一篇

农田防护林带主根生物量空间分布

赵英铭1,2,3,雷渊才4,杨文斌1*,郝玉光2,3,黄雅茹2,3,董雪2,3,马迎宾2,3,刘禹廷2,3

1.中国林业科学研究院荒漠化研究所, 北京 100091; 2中国林业科学研究院沙漠林业实验中心, 内蒙古磴口 015200; 3.国家林业和草原局内蒙古磴口荒漠生态系统定位观测研究站, 内蒙古磴口 015200; 4.中国林业科学研究院资源信息研究所, 北京 100091

出版日期:2018-09-15 发布日期:2018-09-14
通讯作者: *通信作者：杨文斌，研究员，博士，主要从事防沙治沙研究。E-mail：nmlkyywb@163.com
作者简介:赵英铭，高级工程师，博士研究生，主要从事水土保持与荒漠化防治研究。E-mail：zhaoyingming2004@aliyun.com。
基金资助:
中国林业科学研究院中央级公益性科研院所基本科研业务费专项（CAFYBB2017MB002，CAFYBB2014MA016，CAFYBB2012003）资助。

Spatial Distribution of Main Root Biomass of Farmland Shelterbelt

ZHAO Yingming1,2,3, LEI Yuancai4, YANG Wenbin1*, HAO Yuguang2,3, HUANG Yaru2,3, DONG Xue2,3, MA Yingbin2,3, LIU Yuting2,3

1.Institute of Desertification Studies, Chinese Academy of Forestry, Beijing 100091; 2.Experimental Center of Desert Forestry, Chinese Academy of Forestry, Inner Mongolia Dengkou 015200; 3.Inner Mongolia Dengkou Desert Ecosystem Research Station, State Forestry and Grassland Administration, Inner Mongolia Dengkou 015200; 4.Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Beijing 100091, China

Online:2018-09-15 Published:2018-09-14

摘要/Abstract

摘要： 绿洲农田防护林作为三北防护林的重要组成部分发挥着重要的固碳作用，其生物量直接决定碳储量的大小，尤其根生物量，而主根生物量是根生物量的主体部分，故探明干旱区绿洲农田防护林带主根生物量空间分布结构和规律，为干旱区乃至三北防护林修复过程根生物量的计算提供重要的指导价值。在内蒙古自治区乌兰布和沙漠磴口绿洲选择20 a、2行结构新疆杨农田防护林带，按径级、固定样方尺寸和深度测量不同土层主根生物量，利用SPSS 18.0统计软件建立生长模型，模拟主根生物量变化过程。通过调查分析得出新疆杨11个不同土层主根生物量及分配比例模型；发现0~0.5 m和0.5~1.0 m土层囊括了87.11%~100%的主根生物量，且主根生物量分配比例在生长过程中基本恒定；0~1.5 m土层主根生物量随胸径增长而增长，唯1.5~2.0 m土层有先增长后下降的趋势；1.0~1.5 m和1.5~2.0 m土层在林带平均胸径长到0.228 5 m和0.363 0 m时有主根生物量分布，按胸径年增0.02 m计算，到11~18 a时新疆杨的垂直根系才能向下生长到1.0~2.0 m土层。新疆杨农田防护林主根生物量空间分布结构及规律：主根生物量主要集中分布在0~1.5 m土层内，占主根97%以上的生物量；胸径达一定值时，1.5~2.0 m有主根分布；主根生物量空间分布呈近地表集中分布趋势。主根生物量近地表集中分布形成原因是：沙漠季风气候、土壤干旱和地下水位低造成植物生境干旱，植物根系生长向水性使其向水资源富集于地表灌溉水系和灌溉农田生长，是植物对干旱气候土壤和农业灌溉环境的一种适应性进化。

关键词: 主根生物量, 空间分布, 农田防护林, 绿洲, 干旱区

Abstract: The aim of this paper was to provide a reference for calculating the main root biomass and its spatial distribution law of the oasis farmland in the arid area and even the 3 northern shelterbelts. According to the selection of 2 lines-20 a-shelterbelt of Populus alba var. pyramidalis Bunge. in Dengkou, Ulan Buh Desert, Inner Mongolia, and based on the forest belt parameters, the root biomass of different soil layers were measured according to the size and depth of fixed soils. SPSS 18.0 statistical software was used to establish growth model to simulate the variation of main root biomass of different soil layers with diameter at breast height (DBH). And then 11 specific gravity model of the main root biomass were obtained by investigation and analysis in different soil layers. It was found that 87.11%~100% of the main root biomass distributed in 0~0.5 m and 0.5~1.0 m soil layer. And the biomass distribution ratio of the main root in 0~1.5 m soil layer was basically constant throughout the whole growing period and increased with the growth of DBH, only 1.5~2.0 m soil layer increased first and then decreased. When the average DBH reached 0.228 5 m and 0.363 0 m, there was the main root biomass distribution in 1.0~1.5 m and 1.5~2.0 m soil layer. According to the growth rate of 0.02 m DBH every year, after 11~18 a the vertical root system of poplar could grow down to 1.0~2.0 m soil layer. The spatial distribution structure and regularity of the main root biomass were as following: the main root biomass was mainly distributed in 0~1.5 m soil layer, accounting for over 97% of the main root biomass. As DBH reached a certain value, main root distributed in 1.5~2.0 m soil layer, and its biomass spatial distribution presented a near soil surface distribution potential. The reasons could be the desert monsoon climate + soil drought + low groundwater level, which caused the plant habitat drought, and plant root system streching to rich water resources. This was an adaptability evolution of plant to drought climate, and agricultural irrigation environment.

Key words: main root biomass, spatial distribution, farmland shelter, oasis, arid area

赵英铭1,2,3,雷渊才4,杨文斌1*,郝玉光2,3,黄雅茹2,3,董雪2,3,马迎宾2,3,刘禹廷2,3. 农田防护林带主根生物量空间分布[J]. 中国农业科技导报, 2018, 20(9): 86-94.

ZHAO Yingming1,2,3, LEI Yuancai4, YANG Wenbin1*, HAO Yuguang2,3, HUANG Yaru2,3, DONG Xue2,3, MA Yingbin2,3, LIU Yuting2,3. Spatial Distribution of Main Root Biomass of Farmland Shelterbelt[J]. Journal of Agricultural Science and Technology, 2018, 20(9): 86-94.

[1]	刘星宏, 张青青, 张广鹏, 李宏. 塔里木河下游植物群落空间分布及影响因素分析[J]. 中国农业科技导报, 2021, 23(10): 131-144.
[2]	高素红1,2,武海燕2,温晓蕾2,路常宽2,赵春明2,张琪2,丁元元2. 绿盲蝽越冬卵在葡萄园中的空间分布型和抽样技术研究[J]. 中国农业科技导报, 2020, 22(8): 116-122.
[3]	李龙1,秦富仓1*,姜丽娜2,姚雪玲3. 半干旱区土壤有机碳时空变异特征研究[J]. 中国农业科技导报, 2020, 22(3): 100-107.
[4]	冯雪莹1,张毅波2,黄玉翠1,郭梦然1,孟烨1,张晓明3,徐海云1*. 雄安新区及其周边地区烟粉虱的种群动态及空间分布格局[J]. 中国农业科技导报, 2019, 21(10): 115-124.
[5]	赵英铭1,2,3,雷渊才4,杨文斌1*,包春燕5,高君亮1,2,3,黄雅茹2,3,郝玉光2,3. 节水型农田防护林侧根生物量增长偏极现象的研究[J]. 中国农业科技导报, 2018, 20(10): 73-84.
[6]	卢龙辉1,瓦哈甫·哈力克1,2*,彭菲1,张琴琴1,袁玉芸1. 克里雅绿洲浅层地下水特征与表层土壤特征的相互关系研究 ——基于最优插值预测[J]. 中国农业科技导报, 2017, 19(9): 128-136.
[7]	钱贵霞1,晓敏2,赵文哲1,张启峰1,潘月红3*. 后奶业危机时代奶站空间分布变化及其运行状况分析 ——以内蒙古自治区为例[J]. , 2013, 15(4): 102-109.
[8]	杨丽萍1,郭洪海1,李新华1,杨萍1,万书波2. 中国花生蛋白质含量空间分布预测初探[J]. , 2010, 12(5): 92-97.
[9]	杨思忠[1] 李海燕[1] 陈秀萍[2] 王建林[1]. 浅议武威绿洲农业困境和出路[J]. , 2004, 6(4): 67-70.

农田防护林带主根生物量空间分布

Spatial Distribution of Main Root Biomass of Farmland Shelterbelt

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics