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.     

基于多载荷无人机遥感的大豆地上鲜生物量反演

以多载荷无人机获取数据和地面实测的数据为基础,将大豆生殖生长期分段建模,采用植被指数和光谱参数相结合再加上农学参数株高,通过最小二乘法建立多元线性回规模型的方法,来估算大豆开花期和结荚期的鲜生物量,采用高光谱植被指数法估算大豆鼓粒期和成熟期的鲜生物量。结果表明:在大豆开花期和结荚期内,采用混合法构建生物量反演模型利用交叉验证法,验证结果的R~2和RMSE分别为0.714和0.393;在大豆鼓粒期和成熟期内,采用高光谱植被指数法构建生物量反演模型,利用交叉验证法,验证结果的R~2和RMSE分别为0.697和0.386;大豆开花结荚期构建的模型和鼓粒成熟期构建的模型都有比较高的精度和可靠性,利用这两种模型完成了高光谱影像鲜生物量的遥感空间制图,能反映当地当时大豆的真实长势情况。     

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.     

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.     

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。     

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。     

氮磷追肥配施对云南松幼苗根系生长的影响

云南松是我国西南地区主要的造林树种,在区域经济发展和生态环境建设中发挥着重要作用。但目前云南松苗期生长缓慢,这使得云南松经济效益与生态效益的发挥受到了阻碍。氮磷添加是目前农林业促成培育中一种常见技术手段,通过对云南松苗木在不同氮、磷施肥处理下其生长状况的研究,以期为云南松苗木培育提供依据。本次试验以90d生的云南松幼苗为试验材料,对其进行氮磷根部追肥配施试验,比较不同氮磷浓度水平下云南松幼苗根系生长的变化规律。研究表明,氮磷配施后,随着氮磷用量的增加,云南松幼苗根冠比降低。地下部分的生长优势降低,地上部分的生长优势升高,且氮元素对于地上部分的增长作用强于磷元素。     

多梯度氮磷添加对高寒草甸植物群落生物量与氮磷含量的影响

为研究不同梯度氮、磷单独及混合添加对高寒草甸植物群落生物量、植物养分含量及化学计量比的影响,本实验分析了青海省门源县典型高寒草甸植物群落地上总生物量,功能群水平地上生物量,植物全氮、全磷含量及氮磷比对多梯度氮、磷添加的响应情况。结果表明：氮、磷添加均对群落地上生物量影响极显著(P<0.001);氮添加对禾草类和豆科生物量影响极显著(P<0.001);磷添加对禾草类和莎草类生物量影响极显著(P<0.001);氮磷交互作用对豆科和莎草类生物量影响显著(P<0.05)。群落水平上,氮添加显著提高了植物全氮含量,对植物氮磷比(N∶P)有正效应,磷添加显著提高了植物全磷含量,对植物N∶P有负效应,植物全磷对N∶P的负效应大于全氮对N∶P的正效应。本研究表明氮、磷添加可能会使高寒草甸植物群落组成和植物养分含量发生改变,植物群落逐渐向禾草类发展;此外,高寒草甸植物生长趋向于受氮磷共同限制。     

短期围栏封育对高寒草甸植物群落及土壤理化性质的影响

充分了解围栏封育对植物群落及土壤理化性质的影响,是合理制定草甸恢复和利用相关政策、促进当地畜牧业经济可持续发展的关键。本研究通过对西藏三江并流区封育2年的高寒草甸的群落样方调查与土壤理化性质测定,结果表明,比较自由放牧,围封后地上和地下生物量分别提高26.24%和8.94%,但物种多样性指数略有下降;围封后土壤电导率、盐度和总溶解固体分别下降26.50%,29.03%,30.15%;围栏内地上生物量与土壤盐度、总溶解固体、电导率呈显著正相关(P<0.05),地下生物量与硝态氮、温度呈显著正相关(P<0.05);围栏外地下生物量与介电常数、体积含水率呈显著负相关(P<0.05),与铵态氮呈显著正相关(P<0.05)。研究结果表明,2年短期围封对高寒草甸植物群落及其土壤理化性质均有一定改善,可以作为应对草甸退化的干扰手段与管理措施。