玉米/大豆间作条件下的作物根系生长及水分吸收

通过田间试验研究了玉米/大豆条带间作群体的根系分布及土壤水分吸收规律.结果表明：水分充足条件下,土壤剖面内玉米和大豆根系的分布模式近似于三角形;玉米根系水平分布范围较大,侧向伸展长度约为58 cm,16～22 cm土层的玉米根系侧向伸展最远,玉米根系不仅分布于间作条带行间,而且生长到大豆条带的行间;大豆根系水平分布于相对有限的区域内,侧向伸展长度约为26 cm.作物根质量密度随着距作物行（玉米或大豆）距离的增加而减少,玉米行和边行大豆根质量密度的90%分布于0～30 cm土层.距玉米行10 cm处玉米的根质量密度高于大豆,距玉米行20 cm处大豆的根质量密度大于玉米,两种作物根质量密度的85%都分布于0～30 cm土层内.间作条带内水分变化主要集中在0～30 cm土层,水分变化量依次为：玉米区域>大豆区域>条带行间.表明在水分充足条件下,间作作物优先在自己的区域吸水,根系混合区吸水滞后发生.     

漓江水陆交错带典型立地根系分布与土壤性质的关系

研究根系与土壤关系是发掘河岸带生态退化等问题内在原因的重要途径。在漓江流域水陆交错带选取缓坡、陡坡、江心洲、人工岸坡4种典型立地类型,对不同土层深度的根长密度、根系生物量、比根长,以及根系特征与土壤有机质、全氮、有效磷的关系进行了研究,旨在为漓江流域生态修复过程中植被恢复、植被配置、快速绿化材料选取提供科学依据。结果表明:(1)同一立地类型0—10 cm土层和10—20 cm土层比根长差异性不显著。0—10 cm到10—20 cm土层,各立地类型根长密度和根系生物量密度均减小,但不同立地类型根长密度和根系生物量密度的差异程度逐渐缩小,表明地形、地表植物类型及生长状况对根长密度分布的影响也随土层深度的增加而逐渐减小。细根根长和生物量随着土壤深度的增加而减小。(2)土壤有机质含量差异性显著,分布规律为人工岸坡陡坡江心洲缓坡;土壤全氮含量从大到小依次是人工岸坡、陡坡、缓坡、江心洲,其值分别为:3.12、2.33、1.56、1.32 g/kg;土壤全氮与土壤有机质呈显著正相关。江心洲和缓坡有效磷含量远远大于人工岸坡和陡坡,原因是漓江水长期受人为洗漱影响,导致受江水干扰大的立地类型有效磷含量高。(3)根长密度、比根长、根系生物量与有机质、全氮含量呈正相关,与有效磷含量呈负相关,说明土壤根系越丰富,越有利于增加土壤有机质和全氮含量,但遏制了土壤有效磷。细根长度、生物量与根长密度在0.01水平(双侧)上显著正相关,与根系生物量密度呈负相关。     

宽窄行栽植模式下三倍体毛白杨根系分布特征及其与根系吸水的关系

采用剖面法对宽窄行栽植模式下三倍体毛白杨(triploid Populus tomentosa)的根系分布特征进行了研究;采用管式TDR系统对土壤剖面含水率变化动态进行了连续观测,并据此计算林木根系吸水速率,以探讨土壤含水率、根系分布和根系吸水分布之间的相关关系。研究结果表明:毛白杨的总平均根长密度在林带两侧和不同径向距离处非常接近(P>0.05);但在不同土层间变化很大(P<0.01),其中0-20和60-150 cm土层为根系主要分布区域,其根系所占比例共达86%;不同径阶间的根长密度差异显著(P<0.01),且其比例关系会随空间位置的改变而发生变化。不同栽植方位下,林带东侧毛白杨根系分布的浅层化程度高于西侧,且在径向240-280 cm内其0-0.5 mm的极细根显著多于西侧(P<0.05)。因此,宽窄行栽植模式下,深度和径阶是毛白杨根系分布的主要影响因子,而栽植方位会对其形态构型产生影响。毛白杨根系吸水模式受细根分布的影响,但会随土壤剖面水分有效性分布的变化而变化:当表土层水分有效性增加时,根系吸水主要集中在表土层;当表土层水分有效性降低时,深层土壤根系的吸水贡献率会逐渐增加;当土壤剖面水分条件异质性较高时,根系吸水主要集中在根系密度与水分有效性均较高的区域;当土壤剖面水分分布均匀且不存在水分胁迫时,根系吸水分布与细根分布最为一致。     

干旱区绿洲灌溉条件下不同树龄轮台白杏根系的空间分布

采用田间分层挖掘法和图像扫描分析法,研究了干旱区绿洲灌溉条件下不同树龄轮台白杏根系的空间分布特征.结果表明:轮台白杏的根系主要由细根(d≤1 mm)构成,中粗根(1＜d≤2 mm)和粗根(d＞2 mm)所占比例较小,树龄5 a、10 a和15 a轮台白杏细根长度分别占根系总长度的90.9％、88.4％和79.9％.随树龄延长,根长密度增加,不同径级根长密度均为15 a＞10 a＞5 a.在垂直方向上,轮台白杏的根长密度呈现出先增加后减小的分布趋势,且各土层根系干质量密度差异显著,树龄5a、10 a和15 a轮台白杏根系干质量密度分布较集中的区域分别为距离树干200 cm以内的30 ～ 80 cm、30～100 cm和30～100 cm深度土层,轮台白杏根系的水平分布特征为距离树干越远根系干质量密度越小,且距树干不同距离处的差异显著.从减小相邻树行间树体根系的交错重叠和降低水肥竞争的角度考虑,在干旱区绿洲灌溉条件下,轮台白杏的栽植行距应≥6 m.     

陕西榆林春玉米高产田土壤理化性状及根系分布

调查分析了陕西榆林2块19500 kg·hm^-2以上超高产春玉米田的产量构成、干物质分配和0～100 cm土层根系分布及土壤理化性状指标.结果表明：其种植密度为105000～123000株·hm^-2、成穗率97.7%～102.2%、千粒重320 g以上,果穗干物质积累量占整株干物质积累量的60.2%～65.5%.0～100 cm土壤平均容重为1.28～1.33 g·cm^-3,层间（每层20 cm）土壤容重、孔隙度和田间持水量均呈“M”型变化.玉米根系主要分布在0～60 cm,0～20 cm土层根系量占根系总量的64.8%～72.1%,20～60 cm土层根系量占根系总量的23.30%～28.17%.根系分布与土壤理化性状关系密切,0～20 cm土层玉米的根系量与土壤有机质、全氮和全磷含量呈显著正相关,20～60 cm土层根系量与土壤容重和田间持水量显著相关.因此,选择通透性和保水保肥能力良好的土壤,实行宽窄行双株密植栽培是获得玉米高产的关键.     

冬小麦根系分布规律

根据在郑州进行的冬小麦根系田间实测资料,研究了根长密度和根质量密度在砂壤土中的垂直分布.结果表明:冬小麦根量主要集中在上层,根长密度、根质量密度在0～50 cm土层内分别占57.7%和66.7%,而在50～100 cm层分别占23.4%和18.7%,根长密度和根质量密度随土壤深度的变化均符合指数函数形式;综合考虑根量分布、根系吸水等因素,确定了冬小麦适宜的底墒深度为100 cm.     

刺槐和侧柏人工林有效根系密度分布规律研究

通过分层分段挖掘法,对13龄刺槐、侧柏人工林,根区有效根长密度和根重密度的空间分布进行了研究。结果表明,尽管刺槐根系分布深度是侧柏的2倍多,但平均有效根长密度只有侧柏的44．5％。在垂直方向上,两树种有效根系主要分布在0～60cm土层内,然而最大有效根长密度却均位于距地表0～30cm以内。其中,刺槐0～30cm区域内有效根长占总有效根长的51．58％,侧柏占58．38％;刺槐有效根干重占总有效根干重的63．01％,侧柏占71．09％;两树种根系密度分布均随土层深度增加而呈指数形式递减。在水平方向上,刺槐有效根系密度呈二次抛物线型分布、最大有效根长或根密度以距树干30～90cm处最大;侧柏有效根系密度则随着距主干距离的增大而减小。非线性参数拟合分析表明,采用RD=EXP(A BX CZ)函数模型,能较好地反映人工林根系密度的空间分布。     

刺槐和侧柏人工林有效根系密度分布规律研究

通过分层分段挖掘法 ,对 13龄刺槐、侧柏人工林 ,根区有效根长密度和根重密度的空间分布进行了研究 .结果表明 ,尽管刺槐根系分布深度是侧柏的 2倍多 ,但平均有效根长密度只有侧柏的 4 4 .5 % .在垂直方向上 ,两树种有效根系主要分布在 0～ 6 0 cm土层内 ,然而最大有效根长密度却均位于距地表 0～ 30 cm以内 .其中 ,刺槐 0～30 cm区域内有效根长占总有效根长的 5 1.5 8% ,侧柏占 5 8.38% ;刺槐有效根干重占总有效根干重的 6 3.0 1% ,侧柏占 71.0 9% ;两树种根系密度分布均随土层深度增加而呈指数形式递减 .在水平方向上 ,刺槐有效根系密度呈二次抛物线型分布、最大有效根长或根密度以距树干 30～ 90 cm处最大 ;侧柏有效根系密度则随着距主干距离的增大而减小 .非线性参数拟合分析表明 ,采用 RD=EXP A+BX +CZ 函数模型 ,能较好地反映人工林根系密度的空间分布     

陇东旱塬苹果根系分布规律及生理特性对地表覆盖的响应

为探明陇东旱塬区不同覆盖物对苹果园土壤理化性状、根系分布及根系生理活性的影响,以14年生苹果树为试材,采用土壤剖面分层取样法,调查根系空间分布,并对根系生物量、根长、表面积等进行分析,测定根系活力、抗氧化酶类、活性氧代谢等相关生理指标,同时测定不同深度土层土壤容重、孔隙度等.结果表明: 覆草可有效增大土壤含水量、孔隙度、有机质含量,增幅分别为2.7%～11.6%、3.2%～27.7%、5.1%～36.0%,但土壤容重降低,为清耕(CK)的88.7%～96.4%.CK根系主要分布在距树干30～120 cm范围内的0～60 cm深土层中;覆草、覆膜处理主要分布在距树干0～150 cm、0～60 cm水平范围内的0～100 cm深土层中,以20～40 cm根系最为密集;覆膜处理细根总量仅为CK的96.4%,根系水平分布范围较CK有所减小,0～60 cm内细根占根系总量的51.6%.不同覆盖处理显著增强0～80 cm土层根系活力及抗氧化酶活性,其中覆草处理根系活力为CK的111.3%～136.7%.综合分析根系生长分布与生理活性、土壤理化性状等,认为覆草处理是陇东旱塬区苹果园较为适宜的地表覆盖方式.     

冬小麦根系分布规律

根据在郑州进行的冬小麦根系田间实测资料,研究了根长密度和根质量密度在砂壤土中的垂直分布。结果表明:冬小麦根量主要集中在上层,根长密度、根质量密度在0～50 cm土层内分别占57.%和66.%,而在50～100 cm层分别占23.%和18.%,根长密度和根质量密度随土壤深度的变化均符合指数函数形式;综合考虑根量分布、根系吸水等因素,确定了冬小麦适宜的底墒深度为100 cm。     

Root distribution and interactions between intercropped species

Even though ecologists and agronomists have considered the spatial root distribution of plants to be important for interspecific interactions in natural and agricultural ecosystems, few experimental studies have quantified patterns of root distribution dynamics and their impacts on interspecific interactions. A field experiment was conducted to investigate the relationship between root distribution and interspecific interactions between intercropped plants. Roots were sampled twice by auger and twice by the monolith method in wheat (Triticum aestivum L.)/maize (Zea mays L.) and faba bean (Vicia faba L.)/maize intercropping and in sole wheat, maize, and faba bean up to 100 cm depth in the soil profile. The results showed that the roots of intercropped wheat spread under maize plants, and had much greater root length density (RLD) at all soil depths than sole wheat. The roots of maize intercropped with wheat were limited laterally, but had a greater RLD than sole-cropped maize. The RLD of maize intercropped with faba bean at different soil depths was influenced by intercropping to a smaller extent compared to maize intercropped with wheat. Faba bean had a relatively shallow root distribution, and the roots of intercropped maize spread underneath them. The results support the hypotheses that the overyielding of species showing benefit in the asymmetric interspecific facilitation results from greater lateral deployment of roots and increased RLD, and that compatibility of the spatial root distribution of intercropped species contributes to symmetric interspecific facilitation in the faba bean/maize intercropping. Electronic Supplementary Material Supplementary material is available for this article at and is accessible for authorized users.     

轮耕对关中一年两熟区土壤物理性状和冬小麦根系生长的影响

针对关中地区土壤连续单一耕作存在的主要问题,进行了土壤轮耕效应研究。2009年至2012年在关中一年两熟区采用连续4a旋耕(RT)、翻耕-免耕-翻耕-免耕(PNT)和深松-免耕-深松-免耕(SNT)3种耕作处理,对土壤容重、紧实度及小麦根系生长进行了研究。结果表明,与试验前相比,夏玉米收获后(2013年10月)两种轮耕处理显著(P0.05)降低了0—10、10—20 cm土壤容重,旋耕处理在0—10 cm处差异不显著,而10—20 cm土壤容重显著增大;与旋耕处理相比,两种轮耕处理0—10、10—20 cm土壤容重在第4季冬小麦整个生育期内变异系数较小,土壤紧实度较低,且改善效果在冬小麦生育中后期10—20 cm土层体现更为显著;旋耕处理0—10、10—20 cm土壤紧实度与含水量均呈显著负相关,相关系数分别为-0.89、-0.85,两种轮耕处理相关性不显著;0—40 cm土层根重密度和根系活力表现为:两种轮耕处理连年旋耕。可见,长期旋耕后进行轮耕(免耕与翻耕、深松)有利于改善土壤物理状况,促进作物根系生长。     

Soil redox-pH stability of arsenic species and its influence on arsenic uptake by rice

Although the auger method has been reported to be simple and superior to other methods of determination of roots, a standard procedure of determining roots with the same is lacking. In a bid to standardize the auger method for studying wheat root distribution; we sampled roots with 5, 7.5 and 10 cm ID augers on the row and midway between rows down to 180 cm. The suitability of a sampling scheme was adjudged from bias between observed and actual root length densities (RLD). The actual density in a layer was obtained by integrating the equation fitted to the average of root density data horizontally between 0 and 11 cm, because for 22 cm apart rows of wheat the representative half of the unit soil strip was 11 cm from the row; and assumed actual RLD was the average of horizontal distribution of RLD in a particular layer. Single site sampling on the row or between rows gave the maximum bias. Average of two sites viz. on the row and midway between rows with 10 cm ID auger and 7.5 cm ID auger or at three sites with 5 cm ID auger (additional site midway between the earlier two) gave the best estimates in that order.     

Seasonal dynamics of fine root biomass,root length density,specific root length,and soil resource availability in a Larix gmelinii plantation

Fine root tumover is a major pathway for carbon and nutrient cycling in terrestrial ecosystems and is most likely sensitive to many global change factors.Despite the importance of fine root turnover in plant C allocation and nutrient cycling dynamics and the tremendous research efforts in the past,our understanding of it remains limited.This is because the dynamics processes associated with soil resources availability are still poorly understood.Soil moisture,temperature,and available nitrogen are the most important soil characteristics that impact fine root growth and mortality at both the individual root branch and at the ecosystem level.In temperate forest ecosystems,seasonal changes of soil resource availability will alter the pattern of carbon allocation to belowground.Therefore,fine root biomass,root length density(RLD)and specific root length(SRL)vary during the growing season.Studying seasonal changes of fine root biomass,RLD,and SRL associated with soil resource availability will help us understand the mechanistic controls of carbon to fine root longevity and turnover.The objective of this study was to understand whether seasonal variations of fine root biomass,RLD and SRL were associated with soil resource availability,such as moisture,temperature,and nitrogen,and to understand how these soil components impact fine root dynamics in Larix gmelinii plantation.We used a soil coring method to obtain fine root samples(≤2 mm in diameter)every month from Mav to October in 2002 from a 17-year-old L.gmelinii plantation in Maoershan Experiment Station,Northeast Forestry University,China.Seventy-two soil cores(inside diameter 60 mm;depth intervals:0-10 cm,10-20 cm,20-30 cm)were sampled randomly from three replicates 25 m×30 m plots to estimate fine root biomass(live and dead),and calculate RLD and SRL.Soil moisture,temperature,and nitrogen(ammonia and nitrates)at three depth intervals were also analyzed in these plots.Results showed that the average standing fine root biomass(live (32.2 g.m-2.a-1)in the middle(10-20 cm)and deep layer (20-30cm),respectively.Live and dead fine root biomass was the highest from May to July and in September,but lower in August and October.The live fine root biomass decreased and dead biomass increased during the growing soil layer.RLD and SRL in May were the highestthe other months,and RLD was the lowest in Septemberdynamics of fine root biomass,RLD,and SRL showed a close relationship with changes in soil moisture,temperature,and nitrogen availability.To a lesser extent,the temperature could be determined by regression analysis.Fine roots in the upper soil layer have a function of absorbing moisture and nutrients,while the main function of deeper soil may be moisture uptake rather than nutrient acquisition.Therefore,carbon allocation to roots in the upper soil layer and deeper soil layer was different.Multiple regression analysis showed that variation in soil resource availability could explain 71-73% of the seasonal variation of RLD and SRL and 58% of the variation in fine root biomass.These results suggested a greater metabolic activity of fine roots living in soil with higher resource availability,which resulted in an increased allocation of carbohydrate to these roots,but a lower allocation of carbohydrate to those in soil with lower resource availability.     

根区交替控制灌溉条件下玉米根系吸水规律

为了阐明根区交替控制灌溉(CRDAI)条件下玉米根系吸水规律,通过田间试验,在沟灌垄植模式下采用根区交替控制灌溉研究玉米根区不同点位(沟位、坡位和垄位)的根长密度(RLD)及根系吸水动态。研究表明,根区土壤水分的干湿交替引起玉米RLD的空间动态变化,在垄位两侧不对称分布,并存在层间差异;土壤水分和RLD是根区交替控制灌溉下根系吸水速率的主要限制因素。在同一土层,根系吸水贡献率以垄位最大,沟位最低;玉米营养生长阶段,10—30 cm土层的根系吸水速率最大;玉米生殖生长阶段,20—70 cm为根系吸水速率最大的土层,根系吸水贡献率为43.21%—55.48%。研究阐明了交替控制灌溉下根系吸水与土壤水分、RLD间相互作用的动态规律,对控制灌溉下水分调控机理研究具有理论意义。     

A procedure for determining average root length density in row crops by single-site augering

A simplified procedure has been formulated and tested for determining average root length density (RLD) by auger sampling at a single site in wheat, corn and mustard. It involves the determination of horizontal root distribution in the representative half of the unit soil strip (distance from base of plant to mid-point in the rows) by excavating small monolith segments in the top soil layer. Average RLD is computed by dividing the integral of polynomial function fitted to the horizontal root distribution (in the unit soil strip) with its length. The average RLD, thus, obtained is interpolated on the curve between root length density and horizontal distance from the plant base (d) in the representative half of the unit soil strip. Root length density determined by centering 5 cm diameter auger at the interpolated d gave minimum deviation from the average RLD of that layer compared to the other possible single site sampling schemes with same-sized auger. These results indicate that for row crops, the best centre for single-site augering is about one-third of distance from the plant base to mid-way between the two rows.     

不同水分条件对冬小麦根系时空分布、土壤水利用和产量的影响

为了明确华北严重缺水区晚播冬小麦灌水对根系时空分布和土壤水分利用规律的影响,以冬小麦石麦15为材料,利用田间定位试验研究了不同灌水处理(春季不灌水W0;春季灌拔节水75mm,W1;春季灌起身水、孕穗水和灌浆水共225mm,W3)对根系干重密度(DRWD)、根长密度(RLD)、体积密度、分枝数等在0—200cm土层的垂直分布、动态变化及其对耗水和产量的影响,结果表明:随着春季灌水量的减少,开花后0—80cm土层的根干重密度、根长度密度、体积密度和分枝数密度均显著减少,80cm—200m土层的根干重密度、根长度密度、体积密度和分枝数密度却显著增加,并且显著增加冬小麦在灌浆期间对100cm以下深层土层水分的利用,总耗水量W1和W0分别比W3减少70.9mm、115.1mm,土壤耗水量分别比W3增加79.1mm、108.9mm,子粒产量W1和W0分别比W3减少653.3kg/hm2、1470kg/hm2,水分利用效率(WUE)则分别比W3提高0.09kg/m3、0.06kg/m3。晚播冬小麦春季灌1水(拔节水)可以促进根系深扎,增加深土层的根系分布量,提高对深层土壤贮水的吸收利用量,有利于实现节水与高产的统一。     

Seasonal dynamics of fine root biomass, root length density, specific root length, and soil resource availability in a Larix gmelinii plantation

Fine root turnover is a major pathway for carbon and nutrient cycling in terrestrial ecosystems and is most likely sensitive to many global change factors. Despite the importance of fine root turnover in plant C allocation and nutrient cycling dynamics and the tremendous research efforts in the past, our understanding of it remains limited. This is because the dynamics processes associated with soil resources availability are still poorly understood. Soil moisture, temperature, and available nitrogen are the most important soil characteristics that impact fine root growth and mortality at both the individual root branch and at the ecosystem level. In temperate forest ecosystems, seasonal changes of soil resource availability will alter the pattern of carbon allocation to belowground. Therefore, fine root biomass, root length density (RLD) and specific root length (SRL) vary during the growing season. Studying seasonal changes of fine root biomass, RLD, and SRL associated with soil resource availability will help us understand the mechanistic controls of carbon to fine root longevity and turnover. The objective of this study was to understand whether seasonal variations of fine root biomass, RLD and SRL were associated with soil resource availability, such as moisture, temperature, and nitrogen, and to understand how these soil components impact fine root dynamics in Larix gmelinii plantation. We used a soil coring method to obtain fine root samples (⩽2 mm in diameter) every month from May to October in 2002 from a 17-year-old L. gmelinii plantation in Maoershan Experiment Station, Northeast Forestry University, China. Seventy-two soil cores (inside diameter 60 mm; depth intervals: 0–10 cm, 10–20 cm, 20–30 cm) were sampled randomly from three replicates 25 m × 30 m plots to estimate fine root biomass (live and dead), and calculate RLD and SRL. Soil moisture, temperature, and nitrogen (ammonia and nitrates) at three depth intervals were also analyzed in these plots. Results showed that the average standing fine root biomass (live and dead) was 189.1 g·m⁻²·a⁻¹, 50% (95.4 g·m⁻²·a⁻¹) in the surface soil layer (0–10 cm), 33% (61.5 g·m⁻²·a⁻¹), 17% (32.2 g·m⁻²·a⁻¹) in the middle (10–20 cm) and deep layer (20–30cm), respectively. Live and dead fine root biomass was the highest from May to July and in September, but lower in August and October. The live fine root biomass decreased and dead biomass increased during the growing season. Mean RLD (7,411.56 m·m⁻³·a⁻¹) and SRL (10.83 m·g⁻¹·a⁻¹) in the surface layer were higher than RLD (1 474.68 m·m⁻³·a⁻¹) and SRL (8.56 m·g⁻¹·a⁻¹) in the deep soil layer. RLD and SRL in May were the highest (10 621.45 m·m⁻³ and 14.83m·g⁻¹) compared with those in the other months, and RLD was the lowest in September (2 198.20 m·m⁻³) and SRL in October (3.77 m·g⁻¹). Seasonal dynamics of fine root biomass, RLD, and SRL showed a close relationship with changes in soil moisture, temperature, and nitrogen availability. To a lesser extent, the temperature could be determined by regression analysis. Fine roots in the upper soil layer have a function of absorbing moisture and nutrients, while the main function of deeper soil may be moisture uptake rather than nutrient acquisition. Therefore, carbon allocation to roots in the upper soil layer and deeper soil layer was different. Multiple regression analysis showed that variation in soil resource availability could explain 71–73% of the seasonal variation of RLD and SRL and 58% of the variation in fine root biomass. These results suggested a greater metabolic activity of fine roots living in soil with higher resource availability, which resulted in an increased allocation of carbohydrate to these roots, but a lower allocation of carbohydrate to those in soil with lower resource availability. __________ Translated from Acta Phytoecologica Sinica, 2005, 29(3): 403–410 [译自: 植物生态学报, 2005, 29(3): 403–410]