乡土物种补播对青藏高原高寒草甸群落稳定性的影响

为了探究高寒草甸天然草地补播乡土物种对草地群落稳定性的影响，本试验以垂穗披碱草（Elymus nutans）、异针茅（Stipa aliena）、中华羊茅（Festuca sinensis）、溚草（Koeleria cristata）、星星草（Puccinellia tenuiflora）、扁蓿豆（Melissitus rutenica）、冷地早熟禾（Poa crymophila）为试验材料，设置5种混播组合，于2017年在青海省贵南县天然草地上进行补播。试验采用方差比率法（Variance ratio，VR）、M.Godron贡献定率法（Contribution law）以及生物量稳定性分析方法，结果表明：5种组合补播后使得群落联结性降低、生物量稳定性增大，群落整体稳定性增强，正向着稳定方向发展；5种组合中，组合D （扁蓿豆+星星草+垂穗披碱草+异针茅+溚草）的生物量稳定性最大，是对草地恢复最有效的物种组合。本试验筛选出了对草地生态修复最有效的物种组合，为草地保护及利用提供了科学依据。     

Physicochemical Characteristics of Biochars Derived From Corn,Hardwood, Miscanthus,and Horse Manure Biomasses

Biochar, a carbon-rich by-product of biomass pyrolysis, is widely recognized as a potential ingredient for soil amendment, fertility, and carbon sequestration owing to its favorable physicochemical properties. The objective of this study was to investigate the chemical and physical properties of biochars produced through pyrolysis at 450°C from agricultural residues available in Northwest Missouri, namely hardwood (HW), corn stover (CR), miscanthus (MS), and horse manure (HM). These properties were assessed through the analysis of pyrolysis yield, pH, volatile matter, fixed carbon, ash and carbon (C), hydrogen (H), sulfur (S), nitrogen (N) contents, trace metal concentrations, surface morphology, surface functional groups, bulk density, and water holding capacity. The biochars derived from HW, MS and CR materials showed high volatile-matter (33–42%), high fixed carbon contents (42–47%), very low ash contents (6–15%), and low bulk density (0.14–0.28 g cm^?3) as compared to that of HM. A wide range of trace elements was observed in biochar samples with significant differences in concentrations. In addition, CR, HW and MS biochars displayed a disordered graphitic-like structure with well-developed pores and surface areas of 23, 70 and 90 m²/g respectively, and high water-holding capacity up to 750%, indicating their potential application as a soil amendment.     

生物质气化系统的(火用)值分析

基于生态热力学的最新进展,首次采用(火用)值理论方法研究生物质气化系统.以江苏盐城某20MW生物质气化燃气-蒸汽联合循环发电工程为研究案例,采用(火用)值分析理论对其生态环境效益进行综合评价,并计算了系统的(火用)值评价指标,与风力发电系统、太阳能热力发电系统、玉米酒精生产系统和沼气综合利用系统这几个典型的可再生能源转化利用系统进行对比分析.结果表明,生物质气化系统的(火用)值总输入为1.04E+ 15 Jc/a,(火用)值转换率为2.64 Jc/J.人力劳务是生物质气化系统(火用)值投入的主要部分,占总(火用)值投入的86.04％.生物质气化系统与其他可再生能源系统类似,都主要依赖于外购的资源,但对可再生资源的利用较高,具有较好的发展持续性和生态环境效益.     

不同施肥模式对稻田土壤速效养分含量及水稻产量的影响

为了综合评价中国南方稻田不同施肥模式对土壤速效养分及水稻产量的影响,并找到最佳施肥模式,本试验在浏阳市北盛镇、荷花镇和达浒镇3个不同基础地力水稻田块从2013年起进行田间定位试验,比较不施肥、常规施肥、60%化肥+40%有机肥(秸秆+紫云英)和单纯施用化肥处理的水稻产量和土壤速效养分含量变化。3年定位试验表明:不同施肥模式相比无肥处理均能显著提高水稻生物产量,以60%化肥+40%有机肥处理最为显著,且生物产量表现出逐年递增的趋势。通过提高水稻有效穗数和穗粒数使水稻产量显著高于其他处理,60%化肥+40%有机肥处理相比不施肥、纯化肥、常规施肥处理分别增产38.3%~62.4%、1.7%~9.6%、8.4%~12.0%。土壤中速效养分含量表现出60%化肥+40%有机肥处理显著高于其他处理的规律,且速效养分含量逐年递增,而纯化肥处理速效养分逐年递减。从当季作物产量而言,低肥区应加大化肥在有机无机配施中的比例,但从长远培肥地力方面,应适当加大有机肥在配施中所占比例,对于中高肥区则可逐步增加有机肥施用比例。不施肥会降低土壤肥力,而施肥具有明显培肥地力的效果,60%化肥+40%有机肥的施肥模式培肥地力效果最为显著,有利于增加水稻有效穗数和穗粒数,产量显著高于其他处理。     

Urban land-use impacts on composition and spatiotemporal variations in abundance and biomass of earthworm community

Soil fauna can sensitively respond to alterations in soil environment induced by land-use changes.However,little is known about the impact of urban land-use changes on earthworm communities.In this study,three land-use types(i.e.,forest,nursery and abandoned lands)were chosen to identify differences in diversity,abundance and biomass of earthworm community in Kunming City.Urban land-use had a pronounced difference in species composition,evenness and diversity of earthworm communities.Forest land had the highest density,biomass and diversity of the earthworm communities.Total abundance was dominated by endogeic species in nursery land(70%)and abandoned land(80%),whereas in the forest land,the earthworm community comprised epigeic,endogeic and anecic species.Temporal changes in earthworm density and biomass were also significantly affected by land-use change.Total density and biomass of earthworms in the forest and nursery lands were highest in September,but highest in the abandoned land in October.The influence of soil physicochemical properties on the earthworm density and biomass also varied with land-use types.Soil temperature significantly affected earthworm density and biomass in the three land-use types.Soil pH was positively correlated with earthworm biomass in the forest land,but negatively associated with earthworm density in the abandoned land.Soil organic matter was positively correlated only with density and biomass of earthworms in the nursery and abandoned lands.Our results suggest that the species composition,abundance and biomass of earthworm communities can be determined by the modification of soil properties associated with urban land-use type.     

Deep neural network algorithm for estimating maize biomass based on simulated Sentinel 2A vegetation indices and leaf area index

Accurate estimation of biomass is necessary for evaluating crop growth and predicting crop yield.Biomass is also a key trait in increasing grain yield by crop breeding.The aims of this study were(i)to identify the best vegetation indices for estimating maize biomass,(ii)to investigate the relationship between biomass and leaf area index(LAI)at several growth stages,and(iii)to evaluate a biomass model using measured vegetation indices or simulated vegetation indices of Sentinel 2A and LAI using a deep neural network(DNN)algorithm.The results showed that biomass was associated with all vegetation indices.The three-band water index(TBWI)was the best vegetation index for estimating biomass and the corresponding R2,RMSE,and RRMSE were 0.76,2.84 t ha−1,and 38.22%respectively.LAI was highly correlated with biomass(R2=0.89,RMSE=2.27 t ha−1,and RRMSE=30.55%).Estimated biomass based on 15 hyperspectral vegetation indices was in a high agreement with measured biomass using the DNN algorithm(R2=0.83,RMSE=1.96 t ha−1,and RRMSE=26.43%).Biomass estimation accuracy was further increased when LAI was combined with the 15 vegetation indices(R2=0.91,RMSE=1.49 t ha−1,and RRMSE=20.05%).Relationships between the hyperspectral vegetation indices and biomass differed from relationships between simulated Sentinel 2A vegetation indices and biomass.Biomass estimation from the hyperspectral vegetation indices was more accurate than that from the simulated Sentinel 2A vegetation indices(R2=0.87,RMSE=1.84 t ha−1,and RRMSE=24.76%).The DNN algorithm was effective in improving the estimation accuracy of biomass.It provides a guideline for estimating biomass of maize using remote sensing technology and the DNN algorithm in this region.     

基于森林资源调查的北京西山油松人工林生物量动态变化研究

基于森林资源调查数据分析西山林场油松人工林生物量多年动态变化情况,结果表明:2004-2014年,油松人工林以近熟林和成熟林为主,成熟林面积和生物量大幅增长,幼龄林、中龄林、近熟林面积和生物量明显减少,单位面积生物量及生产力最高的立地类型为低阴中松,单位面积生物量按大小排序:阔叶混交林>针阔混交林>针叶混交林>针叶纯林。     

不同育成年份冬小麦苗期根冠生物量分配

为探讨品种更替过程中小麦苗期根冠生物量分配的演变趋势,以历年来黄淮海麦区大面积推广种植的22个冬小麦品种为研究对象,采用砂培的方法进行幼苗培养,分析小麦种子萌发后不同时间根、冠生长及生物量分配的变化规律。结果表明:冬小麦种子萌发后第3天幼苗根数在品种间无显著差异,第9天、第15天随着品种更替的进行呈现出显著下降的趋势,现代品种初生根数目显著低于早期品种。在第3天、第9天、第15天,小麦苗期幼苗生长随品种更替呈现不同的变化趋势,芽长显著下降,但根长无显著差异。可见,冬小麦苗期芽干质量在品种改良过程中未发生明显变化,而根干质量和根冠比呈现出显著下降的趋势,冬小麦苗期现代品种地上部分分配到更多的生物量。     

生物质燃油燃烧器的研究与设计

随着生物质热裂解制油技术的发展,为适应其工业化大规模生产,需要一款可以提供稳定的且高效率的生物燃油燃烧器,而传统的燃烧器很难将生物燃油充分燃烧,因此笔者设计一种生物燃油燃烧器,通过对燃烧器的工作原理和主要技术参数研究与确定,对燃烧机的结构进行了重新设计.该燃烧器结构简单,装配方便,可以将生物燃油进行三级雾化,燃烧效率高.     

干旱对大豆生理及产量影响的研究

干旱对农业生产影响巨大,开展干旱胁迫对大豆生理及产量影响的研究,将为干旱地区大豆生产提供理论依据。利用塑料整理箱进行了干旱胁迫对大豆光合生理、叶片抗氧化物酶和渗透调节物以及生物量、产量影响的研究,土壤水分为干旱(45%~55%的田间土壤最大持水量)和湿润(80%~100%的田间土壤最大持水量,CK)2个水平,进行了2年的试验研究。结果表明,干旱胁迫使大豆净光合速率、气孔导度、蒸腾速率均明显下降,使水分利用率增加;干旱胁迫对大豆叶片过氧化酶(POD)和超氧化物歧化酶(SOD)含量无显著影响;干旱使大豆叶片丙二醛(MDA)含量、还原糖含量和可溶性总糖含量增加25.00%,47.09%和47.16%。干旱胁迫使大豆株高、节数、茎粗明显下降。干旱使大豆地上部分生物量明显下降,其中2013年下降39.4%,2014年下降69.6%。干旱使大豆籽粒产量明显下降,2013,2014年分别下降46.9%和81.6%。干旱胁迫下,大豆叶片气孔导度显著下降,使CO2供应受到严重影响,降低叶片净光合速率。干旱胁迫还会使大豆细胞膜结构造成一定的破坏,影响植物正常的光合作用,使大豆光合代谢产物下降。虽然大豆可以通过渗透调节物质来保持细胞的水分,但干旱仍然抑制了植株的正常生长,使大豆生物量和产量下降。