利用遥感技术实现作物模拟模型区域应用的研究进展

作物模拟模型从单点发展到区域应用时,模型中一些宏观资料的获取和参数的区域化方面出现困难,利用遥感技术将实现作物模拟模型的区域应用．文中综述了近年来遥感反演作物模型所需的地表生物物理参数的方法、利用遥感信息直接获取生物量的途径和遥感信息与作物模拟模型之间时空匹配问题等方面的研究概况,重点介绍了利用遥感技术实现作物模拟模型区域应用的3种解决方案(强迫型、调控型和验证型)及其研究进展,并讨论了目前存在的问题和今后研究的方向．     

基于遥感信息的作物模型重新初始化/参数化方法研究初探

作物模型与遥感信息的结合有助于利用遥感监测的大范围植被信息解决作物模型区域应用时模型初始状态和参数值难以确定的问题。该文借助叶面积指数(LAI)将经过华北冬小麦(Triticum aestivium)适应性调整的WOFOST模型与经参数调整检验的SAIL-PROSPECT模型相嵌套,利用嵌套模型模拟作物冠层的土壤调整植被指数(SAVI),在代表点上借助FSEOPT优化程序使模拟SAVI_s与MODIS遥感数据合成SAVI_m的差异达到最小,从而对WOFOST模型重新初始化。结果表明,借助于遥感信息,出苗期的重新初始化使模拟成熟期与按实际出苗期模拟的结果相差在2天以内,模拟的LAI和总干重的误差比按实际出苗期模拟结果的误差降低3~8个百分点;返青期生物量的重新初始化使模拟LAI和地上总干重在关键发育时刻的误差降至16%以内,模拟LAI和贮存器官重在整个生育期内都更加接近实测值;对返青期生物量的动态调整显示返青到抽穗期间较少次数的遥感数据即能有效地提高作物模型的模拟效果。与国外同类研究相比,该文在作物模型本地化、重新初始化变量和优化比较对象的选择上都有所不同,而利用遥感数据动态调整作物模型初始状态或参数值更具有新意。该文对区域尺度上利用遥感信息优化作物模型的研究具有基础性、探讨性意义。     

利用亚像元尺度信息改进区域冬小麦生长的模拟

为了探寻遥感观测面尺度与作物模型模拟点尺度不匹配问题的解决方案并改善区域作物生长模拟精度,以河南省鹤壁市为研究区,以冬小麦为研究对象,基于MODIS、Landsat 8遥感数据和Wheat SM作物生长模型,通过MODIS LAI过程线重建、亚像元尺度信息提取、集合卡尔曼滤波同化等方法,进行了冬小麦生长模拟的研究。结果表明:通过MODIS LAI过程线重建并提取亚像元尺度信息,冬小麦纯度在80%以上的遥感反演LAI与冬小麦两个关键生育期实测冠层LAI的均方根误差(RMSE)为0.69,以最近邻域法赋值到整个模拟区域,研究区2013—2017年模拟总产和实际总产相比的RMSE在未同化遥感反演的LAI信息时为6.73×108kg,同化未利用亚像元尺度信息调整的遥感估算LAI时,RMSE上升到8.24×108kg,同化利用亚像元尺度信息分区赋值的遥感LAI时,RMSE下降到3.48×108kg。利用亚像元尺度信息生成与作物模型时空尺度匹配的格点化LAI遥感产品,可提高作物生长模型区域化应用的精度。     

作物光能利用效率和收获指数时空变化研究进展

1972年Monteith提出的光能利用效率模型是当前大多数作物生长和产量形成模拟研究以及遥感估产所采用的主要方法.光能利用效率(radiation use efficiency, RUE)和收获指数(harvest index, HI)是其中的两个基本参量.鉴于目前作物RUE和HI研究与应用中仍存在着一些问题,本文综述了相关研究进展,总结了不同尺度上作物RUE和HI的研究方法;介绍了当前遥感估产应用中对RUE和HI两个关键参数的处置概况;建议今后研究应在点尺度开展作物RUE和HI研究的基础上,寻求其在区域尺度上定量评估的可行性途径,切实有效地发挥作物RUE和HI研究在作物实际生产管理中和遥感产量估算方面的应用价值及潜力.     

基于更新和同化策略相结合的遥感信息与水稻生长模型耦合技术的研究

将遥感与作物模型耦合有利于提高作物模型在区域尺度应用时的精度。基于集合平方根滤波算法(Ensemble Square RootFilter,EnSRF)和粒子群优化算法(Particle Swarm Optimization,PSO),以叶面积指数(Leaf Area Index,LAI)和叶片氮积累量(Leaf Nitrogen Accumulation,LNA)共同作为同化耦合点和过程更新点,将同化与更新策略相结合,研究建立了基于遥感信息与水稻生长模型(RiceGrow)耦合的水稻生长与产量预测技术。结果表明,将更新和同化策略结合后,利用RiceGrow模型模拟的水稻生长指标和产量结果更接近于实测值。其中LAI、LNA和产量与实测值间的RMSE分别为0.94、0.47 g/m2和320.15 kg/hm2;RiceGrow模型直接模拟LAI、LNA和产量的RMSE为1.25、1.24 g/m2和516.83 kg/hm2;而单纯基于同化策略模拟LAI、LNA和产量的RMSE为1.01、0.59 g/m2和335.70 kg/hm2。此外,基于该技术的模型区域尺度预测结果能较好地描述水稻生长和产量的时空分布状况,生长指标及区域总产量的模拟相对误差均小于20%。显示基于更新和同化策略相结合的遥感与模型耦合技术具有较高的预测精度,从而为区域尺度作物生长和产量预测提供了技术支撑。     

基于遥感与模型耦合的冬小麦生长预测

遥感的空间性、实时性与作物生长模型的过程性、机理性优势互补,将两者有效耦合已成为提高作物生长监测预测能力的重要手段之一。提出了一种基于地空遥感信息与生长模型耦合的冬小麦预测方法,该方法基于初始化/参数化策略,以不同生育时期的小麦叶面积指数(LAI)和叶片氮积累量(LNA)为信息融合点将地面光谱数据(ASD)及HJ-1 A/B CCD、Landsat-5 TM数据与冬小麦生长模型(WheatGrow)耦合,反演得到区域尺度生长模型运行时难以准确获取的部分管理措施参数(播种期、播种量和施氮量),在此基础上实现了对冬小麦生长的有效预测。实例分析结果表明,LNA较LAI对模型更敏感,以之作为耦合点的反演效果较好。另外,抽穗期是遥感信息与生长模型耦合的最佳时机,对播种期、播种量和施氮量反演的RMSE值分别达到5.32 d、14.81 kg/hm²、14.11 kg/hm²。生长模型与遥感耦合后的模拟结果很好地描述了冬小麦长势和生产力指标的时空分布状况,长势指标的模拟相对误差小于0.25,籽粒产量模拟的相对误差小于0.1。因此研究结果可为区域尺度冬小麦生长的监测预测提供重要理论依据。     

遥感GPP模型在中国地区多站点的应用与比较

在区域和全球尺度上估算植被总初级生产力(GPP)对理解陆地生态系统的碳循环具有重要意义。由于地表异质性的存在,局限在站点尺度上的观测数据无法直接扩展到更大空间尺度的区域上。通过与地面观测数据相结合,遥感成为实现植被GPP空间扩展的主要工具。但是现有模型对气象数据依赖较多,且在不同气象数据集的驱动下,模拟结果间会有差异,进而产生不确定性。建立以遥感数据为主的GPP模型(简称遥感GPP模型),使其易于在区域和全球尺度上应用,是解决上述问题的一个可行方案。该研究使用TG(temperature and greenness model)和VI(vegetation index model)两个遥感GPP模型,结合中国通量观测研究联盟(China FLUX)的台站数据,对中国典型植被类型的GPP进行了模拟、比较与评估,旨在进一步提高遥感GPP模型在中国区域的适用性。结果表明:(1)TG和VI模型选用的遥感参数均与GPP观测值有较高的相关性,都可以得到可信的光合转换系数m和a。基于与夜间地表温度平均值的相关关系,m和a在空间尺度上得到了扩展,这使得TG和VI都可以应用到区域尺度上。(2)TG和VI模型的模拟值与实测值间的相关性大多较高,决定系数(R~2)多在0.67以上。但不同台站间的误差变动较大,TG模型的均方根误差为0.29–6.40 g·m~(–2)·d~(–1),VI模型的均方根误差为0.31–7.09 g·m~(–2)·d~(–1)。(3)总体而言,TG模型的表现优于VI,尤其在海拔或纬度较高、以温度限制为主的台站,TG模型的模拟效果较好。上述结果初步揭示遥感GPP模型具备了在区域尺度上应用的潜力。     

土壤干旱胁迫对作物影响的模拟研究进展

用于模拟土壤干旱胁迫对作物影响的模型分为两类,一是水分管理模型,此类模型并不模拟作物的生长发育,但可以用于灌溉管理;二是作物生长模拟模型,这类模型模拟作物生长的主要过程(如叶片生长、生物量的积累与分配等),通常以实际蒸腾与潜在蒸腾的比值估算土壤干旱胁迫对作物光合的影响,近年来发展的耦合模型将植物的碳同化、蒸腾、能量平衡以及气孔行为相耦合,使得土壤干旱胁迫对作物影响的模拟更具机理性。本文从不同模型模拟土壤干旱对作物影响的原理入手,阐述了水分管理模型(FAO水分生产函数模型)、作物生长模型(Aqua Crop模型、CERES-Maize模型、WOFOST模型、EPICphase模型、耦合模型)等具有代表性模型是如何模拟土壤干旱胁迫对作物生长发育和(或)产量影响的,提出了作物模型模拟土壤干旱胁迫影响时应着力解决的问题:完善干旱对作物物候的影响模拟;考虑花期不遇对作物产量影响的模拟;考虑后续持续影响的模拟机制;发展更加基于物理和生理过程的模型。提出:作物模型的发展还需要多领域如模型程序员、田间试验、植物生理学家的相互协同与发展,田间试验研究是作物模型发展不可或缺的数据来源与坚实基础。     

油菜绿色面积指数动态模拟模型

准确模拟绿色面积指数是作物生长模拟模型可靠预测作物生长和产量的关键。该研究的目的是以生理生态过程为基础,构建油菜(Brassica napus)叶面积指数和角果面积指数变化动态的模拟模型。油菜叶面积指数模型综合考虑了库或源限制下的叶面积增长模式,其中库限制下叶面积指数的增长呈指数方程,且受到温度、水分和氮素因子的影响;源限制下叶面积指数增长用比叶面积法来模拟。油菜角果面积指数由比角果面积和角果干物重来决定。比叶面积和比角果面积均为生理发育时间的函数。利用不同类型品种的播期试验及氮肥试验资料分别对模型进行了校正和检验,结果表明模型能较好地模拟不同条件下油菜叶面积指数和角果面积指数。     

遥感在生态系统生态学上应用的机遇与挑战

生态学正朝着区域和宏观尺度及定量化方向发展,社会经济发展对生态学研究也提出了新的要求。遥感作为有效技术手段在生态学研究的应用上得到了越来越多的重视。研究遥感的功能与生态学研究中存在的问题,寻求遥感技术与生态学结合切入点,不仅是遥感应用发展的需要,更是解决生态学问题的有益途径。对于非遥感专业的生态学研究人员及从事专业遥感的科研人员来说,生态学和遥感的结合还缺少相关的背景知识介绍。本文从生态学研究的发展趋势、遥感技术的特点,综合论述遥感在生态学研究中的特点、历史发展及未来趋势。本综述主要针对于生态系统尺度以上生态学的研究,具体包括遥感在生态系统环境、生态系统生物组成、生态系统结构、生态系统物质循环和流动及生态系统功能等方面的应用。结合遥感技术的发展,论述了遥感与生态学研究有效结合的组分,同时论述了各套遥感数据在不同方面应用的优缺点,提出了遥感在生态学研究上应用的相关建议。     

Transgenic tobacco plants expressingBoRS1 gene fromBrassica oleracea var.acephala show enhanced tolerance to water stress

Water stress is by far the leading environmental stress limiting crop yields worldwide. Genetic engineering techniques hold great promise for developing crop cultivars with high tolerance to water stress. In this study, theBrassica oleracea var.acephala BoRS1 gene was transferred into tobacco throughAgrobacterium- mediated leaf disc transformation. The transgenic status and transgene expression of the transgenic plants was confirmed by polymerase chain reaction (PCR) analysis, Southern hybridization and semi-quantitative one step RT-PCR analysis respectively. Subsequently, the growth status under water stress, and physiological responses to water stress of transgenic tobacco were studied. The results showed that the transgenic plants exhibited better growth status under water stress condition compared to the untransformed control plants. In physiological assessment of water tolerance, transgenic plants showed more dry matter accumulation and maintained significantly higher levels of leaf chlorophyll content along with increasing levels of water stress than the untransformed control plants. This study shows thatBoRS1 is a candidate gene in the engineering of crops for enhanced water stress tolerance.     

Interaction between PGPR and PGR for water conservation and plant growth attributes under drought condition

Drought is one of the key restraints to agricultural productivity worldwide and is expected to increase further. Drought stress accompanied by reduction in precipitation pose major challenges to future food safety. Strategies should be develop to enhance drought tolerance in crops like chickpea and wheat, in order to enhance their growth and yield. Drought tolerance strategies are costly and time consuming however, recent studies specify that plant growth promoting rhizobacteria (PGPR) and plant growth regulators (PGRs) can help plants to withstand under harsh environmental condition and enable plants to cope with drought stress. PGPR can act as biofertilizer and bioenhancer for different legumes and non-legumes. The use of PGPR and symbiotic microorganisms, may be valuable in developing strategies to assist water conservation in plants. The use of PGPR has been confirmed to be an ecologically sound way of enhancing crop yields by facilitating plant growth through direct or indirect mechanism. The mechanisms of PGPR for water conservation include secretion of exopolysaccharides, biofilm formation, alternation in phytohormone content, improvement in sugar concentration, enhancing availability of micro- and macronutrients and changes in plant functional traits. Similarly, plant growth regulators (PGRs) are specially noticed in actively growing tissues under stress conditions and have been associated in the control of cell division, embryogenesis, root formation, fruit development and ripening, and reactions to biotic and abiotic stresses and upholding water conservation status in plants. Previous studies also suggest that plant metabolites interact with plant physiology under stress condition and impart drought tolerance. Metabolites like, sugars, amino acids, organic acid and polyols play a key role in drought tolerance of crop plants grown under stress condition. It is concluded from the present study that PGRs in combination with PGPR consortium can be an effective formulation to promote plant growth and maintenance of plant turgidity under drought stress. This review is a compilation of the effect of drought stress on crop plants and described interactions between PGPR/PGRs and plant development, knowledge of water conservation and stress release strategies of PGPR and PGRs and the role of plant metabolites in drought tolerance of crop plants. This review also bridges the gaps that summarizes the mechanism of action of PGPR for drought tolerance of crop plants and sustainability of agriculture and applicability of these beneficial rhizobacteria in different agro-ecosystems under drought stress.     

土壤水分胁迫对玉米形态发育及产量的影响

未来气候变化可能加剧的干旱化将对我国主要粮食和最重要的饲料作物玉米产生严重影响。为增进玉米对干旱化响应与适应的理解及制定应对策略 ,利用大型活动遮雨棚及池栽对玉米进行了全程水分控制试验研究。对不同土壤水分胁迫下的玉米形态表征、生长发育及产量的分析表明 ,玉米受干旱胁迫的影响程度因受旱轻重、持续时间以及生育进程的不同而不同 ,受旱越重 ,持续时间越长 ,影响越甚。大喇叭口期前 ,玉米株高和生物产量受有限供水或轻度干旱影响不算很大 ,但从大喇叭口期后直至抽雄和灌浆期 ,轻度干旱胁迫持续久了也会对株高和生物产量产生较大不良影响。严重干旱胁迫则从拔节始至灌浆期均对株高和生物产量影响更为不利。进而引起果穗性状恶化 ,穗粒数和百粒重减小 ,最终导致经济产量大幅下降。说明玉米生育前期(大喇叭口期前 )进行有限的控水可行。而玉米生育前期干旱胁迫将使生育进程明显延缓 ,严重干旱胁迫可使抽雄、吐丝期较水分充足滞后 4 d左右 ,并引起成熟期推迟     

水分胁迫对冬小麦叶片CO2／H2O交换参数的影响

Changes of CO2/H2O exchange parameters were continually measuredin winter wheat under different water stress stages.The results showed that photosynthesis rate and transpiration rate of winter wheat in water stress conditions were obviously lower than that in non-stress conditions.After water stress,both of them slowly increased and even overtook that on sufficient irrigation treatment. Responses of winter wheat to water stress in different growth stages were different.To some extent, water stress can improve crop water use efficiency,speed up the process of milking.Under water stress condition,stomatal conductance limited diurnal changes of photosynthesis and transpiration in the morning but not in the afternoon.Transpiration is more sensitive to water stress than photosynthesis.     

水分胁迫对冬小麦叶片CO_2/H_2O交换参数的影响

水资源严重匮乏已成为华北平原农业可持续发展的主要障碍因素 [1] ,提高有限水资源的利用效率显得十分重要。以前的研究主要注重农田水平作物与水分的关系 [2 ,4 ] ,利用作物生物学进行节水研究不够 [3,4 ] 。Roa等人认为作物适度的水分亏缺可获得高产 [15] ;Jensen等人认为适度水分胁迫甚至能使作物水分利用效率显著提高 [5,6] ,依此发展了调亏灌溉思想 ,对有限水量在作物生育期内时空最优分配制度进行研究 ,目前已为世界各国广泛关注 [6] 。作物 CO2 /H2 O交换参数包括光合速率、蒸腾速率、水分利用效率等 ,这些是确定作物水分高效利用…     

Assessment of climatic indices limiting rainfed wheat yield

In this study variation of six climatic indices including accumulated precipitation (P), accumulated potential evapotranspiration (PET), accumulated actual evapotranspiration (AET), accumulated crop evapotranspiration (ETC), accumulated water stress (S) and climatic water deficit (D), was investigated. Climatic indices and their variation were calculated during seven growth stages of wheat in five locations in the northeast of Iran from 1983 to 2008. Principal component analysis (PCA) technique was applied to explore major modes of variation in the regional climatic indices during different crop growth stages. The principle component obtained for each region was correlated to the regional winter wheat yield. Finally the regional amount of water and precipitation use efficiency (WUE and PUE) were analyzed in order to assess any possible association with wheat yield. The results showed that the highest precipitation occurred during the tillering stage and spatially decreased from north (Bojnord) to south (Birjand) and from east (Mashhad) to west (Sabzevar). The difference between the highest and the lowest precipitation across all locations was 2.5 of standard value. The variation pattern of AET, compared to other indices, showed more similarity to variation of precipitation at different growth stages and the highest AET (more than 2 of standard value in all locations) occurred during the tillering stage. The PCA indicated that effective components varied in different locations. The most positive and effective components were types of evapotranspiration that are associated with crop (ETC and AET) and precipitation. However none of these effective PCs showed a significant correlation with final yield. The PUE and WUE analysis indicated that PUE provides more information to interpret the relationship between total amounts of precipitation and the final yield.     

A comprehensive analysis of blue water scarcity from the production,consumption, and water transfer perspectives

The issue of growing water scarcity has been increasingly perceived as a global systemic risk. To solve it, an integrated approach considering different perspectives of water scarcity is at a premise. In this study, we developed an approach to calculate the blue water scarcity (BWS) and integrated the production, consumption, and water transfer perspectives into a single framework. The results are as follows: The average BWS in the Hetao irrigation district was 0.491 during the 2001–2010 year period, which was much larger than the threshold of 0.30, indicating a high water stress level. From the production perspective, the agricultural sector was the largest contributor to regional water scarcity and the average BWS was as high as 0.479. From the consumption perspective, BWS related to virtual water export was much larger than that related to water consumption for making products to be consumed locally and the values were 0.422 and 0.069, respectively. Under the influence of physical and virtual water transfer, BWS changed from 0.242 (medium to high water stress level) to 0.491 (high water stress level). Strategies for reducing agricultural water consumption, such as increasing crop water productivity, improving irrigation efficiency, and promoting more reasonable irrigation water price, could be adopted in the Hetao irrigation district to alleviate regional BWS. Compared with physical and virtual water import, the virtual water export played a more important role in influencing the regional water scarcity, and the increase in crop water productivity, decrease in crop export volume, or adjustment of trade pattern from water-intensive crops to water-extensive ones could be feasible measures to decrease virtual water export for lower water stress, while the trade-offs in the product-consuming regions should be considered.     

土壤水分状况对花生和早稻叶片气体交换的影响

通过田间测坑试验研究了长期处于不同土壤水分状况下花生和早稻叶片气体交换的一些特点.结果表明,花生分枝期轻度和中度水分胁迫使气孔导度(Gs)和蒸腾速率(Tr)略有下降,净光合速率(Pn)和叶片水分利用效率(WUE)减小,轻度水分胁迫Gs/Tr略有上升而中度胁迫Gs/Tr变小.花生结荚期轻度和中度水分胁迫都使Gs、Tr、Gs/Tr和Pn显著降低,WUE大幅度上升.花生结荚期明显受土壤水分胁迫影响.早稻灌浆期轻度和中度水分胁迫Gs、Tr和Gs/Tr变化不显著,Pn和WUE增加,并且轻度水分胁迫下籽粒产量增加.Gs和Gs/Tr变化情况相结合可以作为作物水分胁迫程度的一个参考指标,即如果Gs和Gs/Tr同时下降则作物已经受到水分胁迫影响.     

Terminal drought and seed priming improves drought tolerance in wheat

Plants retain the preceding abiotic stress memory that may aid in attainment of tolerance to subsequent stresses. This study was conducted to evaluate the influence of terminal drought memory (drought priming) and seed priming in improving drought tolerance in wheat (Triticum aestivum L.). During first growing season, wheat was planted in field under optimal (well-watered) and drought stress imposed at reproductive stage (BBCH growth stage 49) until maturity (BBCH growth stage 83). Seeds collected from both sources were subjected to hydropriming or osmopriming (with 1.5% CaCl₂ solution); while, dry seed was taken as control. Treated and control seeds, from both sources, were sown in soil filled pots. After the completion of seedling emergence, pots were maintained at 50% water holding capacity (drought) or 100% water holding capacity (well-watered). Drought stress suppressed the plant growth (2–44%), perturbed water relations (1–18%) and reduced yield (192%); however, osmolytes accumulation (3–14%) and malondialdehyde contents (26–29%) were increased under drought. The crop raised from the seeds collected from terminal drought stressed plants had better growth (5–63%), improved osmolyte accumulation (13–45%), and lower lipid peroxidation (3%) than the progeny of well-watered crop. Seed priming significantly improved the crop performance under drought stress as compared to control. However, osmopriming was more effective than hydropriming in this regard as it improved leaf area (9–43%), tissue water status (2–47%), osmolytes accumulation (6–48%) and grain yield (14–79%). In conclusion, terminal drought induced modifications in seed composition and seed priming improved transgenerational drought tolerance through improvement in tissue water status and osmolytes accumulation, and decrease in lipid peroxidation.     

Root-targeted biotechnology to mediate hormonal signalling and improve crop stress tolerance

Since plant root systems capture both water and nutrients essential for the formation of crop yield, there has been renewed biotechnological focus on root system improvement. Although water and nutrient uptake can be facilitated by membrane proteins known as aquaporins and nutrient transporters, respectively, there is a little evidence that root-localised overexpression of these proteins improves plant growth or stress tolerance. Recent work suggests that the major classes of phytohormones are involved not only in regulating aquaporin and nutrient transporter expression and activity, but also in sculpting root system architecture. Root-specific expression of plant and bacterial phytohormone-related genes, using either root-specific or root-inducible promoters or grafting non-transformed plants onto constitutive hormone producing rootstocks, has examined the role of root hormone production in mediating crop stress tolerance. Root-specific traits such as root system architecture, sensing of edaphic stress and root-to-shoot communication can be exploited to improve resource (water and nutrients) capture and plant development under resource-limited conditions. Thus, root system engineering provides new opportunities to maintain sustainable crop production under changing environmental conditions.