施硅对增温稻田CH4和N2O排放的影响

夜间增温幅度大于白天是气候变暖的显著特征。夜间增温影响水稻生产及CH4和N2O排放。硅是作物有益元素,施硅可提高产量,减少稻田CH4排放。增温或施硅单因子对稻田CH4和N2O排放影响已有报道,但二者耦合如何影响水稻生产及稻田CH4和N2O排放,尚不清楚。通过田间模拟试验,研究了夜间增温下施硅对水稻生长、产量及温室气体持续增温/冷却潜势和排放强度的影响。采用铝箔反光膜夜间(19:00-6:00)覆盖水稻冠层进行模拟夜间增温试验。增温设2水平,即常温对照(CK)和夜间增温(NW);施硅量设2水平,即Si0(不施硅)和Si1(钢渣硅肥,200 kgSiO2/ha)。结果表明,施硅可缓解夜间增温对水稻根系活力的抑制作用,降低夜间增温对水稻地上部、地下部干重和产量的抑制作用。夜间增温显著提高CH4累计排放量,而施硅显著降低CH4累计排放量。夜间增温下施硅处理稻田CH4累计排放量在分蘖期、拔节期、抽穗-扬花期和灌浆成熟期比未施硅处理分别低48.12%、49.16%、61.59%和39.13%。夜间增温或施硅均促进稻田N2O排放,夜间增温下施硅在上述生育期以及全生育期的累计排放量依次比对照高78.17%、51.45%、52.01%、26.14%和40.70%。研究认为,施硅可缓解夜间增温对稻田综合增温潜势和排放强度的促进作用。     

太阳辐射对稻田甲烷排放的影响

太阳辐射减弱是气候变化的主要特征之一,而太阳辐射减弱对稻田甲烷(CH4)排放的影响尚不明确,且缺少高光谱遥感用于估算稻田CH4排放的研究.通过田间模拟试验,研究了不同遮阴强度对稻田CH4排放和水稻冠层光谱特征的影响,并基于冠层高光谱数据估算了CH4排放通量.采用单因子试验设计,遮阴强度设3个水平,即对照(不遮阴,CK)、轻度遮阴(S1,单层遮阴,遮阴率为60%)和重度遮阴(S2,双层遮阴,遮阴率为84%).结果表明:与对照相比,遮阴明显降低了稻田CH4排放,但重度遮阴下CH4排放高于轻度遮阴;近红外波段水稻冠层反射率表现为CK>S2>S1;水稻冠层光谱反射率(699~1349 nm)与CH4排放通量呈极显著正相关,最高相关系数达0.64,6种植被指数与CH4排放通量也呈极显著相关,其中比值植被指数(RVI)与CH4排放通量的相关系数最大,达0.84;建立了以RVI、归一化植被指数(NDVI)和507 nm原始反射率(ρ507)为参数估算CH4排放通量的逐步回归模型,决定系数R2分别为0.86和0.85,利用该模型可为开展区域稻田温室气体排放的遥感监测提供试验依据.     

UV-B增强下施硅对稻田CH4和N2O排放及其增温潜势的影响

大气平流层臭氧损耗导致的地表紫外辐射增强作为全球变化重要问题之一,受到广泛关注。硅是水稻生长有益元素,但施硅是否影响稻田CH_4和 N_2O排放,迄今相关报道尚不多见。通过大田试验,研究UV-B增强下施硅对水稻生长、稻田甲烷(CH_4)和氧化亚氮( N_2O)排放及其增温潜势的影响。UV-B辐照设2水平,即对照(A,自然光)和增强20%(E);施硅量设2水平,即对照(Si0,0 kg SiO_2/hm2)和施硅(Si1,200 kg SiO_2/hm2)。结果表明,UV-B增强降低了成熟期水稻地上部和地下部生物量,而施硅能缓解UV-B增强对水稻生长的抑制作用,使水稻地上部和地下部生物量增加。UV-B增强可显著提高稻田CH_4和 N_2O排放通量和累积排放量,增加稻田CH_4和 N_2O排放的综合增温潜势。施硅能明显降低稻田CH_4排放,促进 N_2O排放,降低稻田CH_4和 N_2O排放的综合增温潜势。研究表明,施硅显著降低稻田CH_4和 N_2O的全球增温潜势,缓解UV-B增强对稻田CH_4和 N_2O的全球增温潜势的促进作用。     

夜间增温品种混栽对稻田土壤CH4和N2O排放的影响

夜间增温幅度大于白天是气候变暖主要特征之一。夜间增温对水稻生产及CH₄和N₂O排放的影响备受关注。品种混栽可提高水稻产量,增强水稻植株抗性。增温或混栽单因子对稻田CH₄和N₂O排放影响已有报道,但二者耦合如何影响水稻生产及稻田CH₄和N₂O排放,尚不清楚。采用2因素随机区组设计,通过田间试验研究了夜间增温下品种混栽对水稻产量、CH₄和N₂O综合增温潜势和排放强度的影响。夜间增温设2水平,即对照（CK,control）和增温（NW,nighttime warming）;品种混栽设2水平,即混作（I,intercropping）,单作（M,monocropping）,混栽处理将主栽品种（超级稻南粳9108）与次栽品种（杂交稻深两优884）以3：1的比例种植。水稻生长期用铝箔反射膜覆盖水稻冠层进行被动式夜间增温试验（19：00-6：00）。结果表明,夜间增温或品种混栽均显著降低水稻植株分蘖数和生物量。品种混栽显著提高水稻产量,而夜间增温则显著降低产量。品种混栽可缓解夜间增温对水稻产量的抑制作用。夜间增温下品种混栽处理稻田CH₄累计排放量在分蘖期、拔节-孕穗期、抽穗-扬花期和灌浆-成熟期比单作对照分别高55.32%、45.89%、43.49和125.82%。夜间增温下品种混栽处理稻田N₂O累计排放量在分蘖期、拔节-孕穗期和抽穗-扬花期分别比单作对照高64.44%、46.26%和42.07%。研究认为,夜间增温下品种混栽显著提高稻田CH₄和N₂O排放通量和累积排放量,显著增加综合增温潜势（GWP）和排放强度（GHGI）。     

猪粪与沼气渣对双季稻田甲烷排放的影响

随着环境温度的升高,稻田甲烷排放通量增加。早稻期间甲烷排放通量随着水稻生育期的增加而逐步加快,而晚稻甲烷排放主要集中在水稻生长的前中期,而且排放量很高。一天中甲烷排放具有很强的周期性,在6：00～8：00时,甲烷排放通量进入谷底,14：00时甲烷排放通量达到峰值。稻田甲烷排放通量与土壤5cm处的温度及土壤水溶解甲烷含量具有较高的相关性。猪粪和沼气渣的施用分别提高稻田甲烷排放量22．14％和4．40％。在早稻期间,施用猪粪和沼气渣分别提高土壤水溶解甲烷含量40．3％和11．9％,而晚稻期间仅分别提高23．9％和5．04％。     

施硅对夜间增温下南方水稻生长、产量和品质的影响

气温增幅夜间大于白天是全球气候变暖的显著特征之一。夜间增温引起南方单季稻减产,而施硅可提高水稻产量。本研究通过田间模拟试验,分析了施硅对夜间增温下水稻主要生育期植株分蘖数、生物量等生长指标以及产量和品质的影响。增温设2水平：常温对照(CK)和夜间增温(NW),采用被动式夜间增温方法,即夜间(19:00—6:00)用铝箔膜覆盖植株冠层以模拟夜间增温;硅肥(钢渣)用量设2水平：不施硅(Si₀)和施硅(Si₁,200 kg SiO₂·hm^-2)。结果表明：与常温对照比,夜间增温使水稻生长期冠层和5 cm土层夜间平均温度分别升高0.51～0.58℃和0.28～0.41℃。夜间增温使分蘖数和叶绿素含量分别较CK降低2.5%～15.9%和0.2%～7.7%;而施硅使分蘖数和叶绿素含量较不施硅分别提高1.7%～16.2%和1.6%～16.6%。与CK相比,夜间增温下施硅显著提高了灌浆-成熟期地上部干重、全株干重和产量,增幅分别为64.1%、55.3%和7.1%;显著增加了精米率、整精米率和淀粉含量,增幅分别为2....     

滩地人工林幼林不同时间尺度CH4通量变化特征——基于涡度相关闭路系统的研究

长江滩地是甲烷(CH_4)排放的潜在热点区域,然而目前其CH_4通量的变化特征及控制因子尚未被揭晓。基于涡度相关闭路系统进行为期2年多的连续观测,旨在揭示长江滩地杨树(Populus deltoides)人工林幼林CH_4通量在不同时间尺度上的变化特征及其调控机理。结果显示,全年和部分未淹水月份表现出白天排放强而夜间排放弱的平均日变化特征,且淹水前、淹水期间和退水后分别表现出日间双峰型(7:00和10:00)、日间与夜间各一峰的双峰型(10:00和23:00),以及典型的日间单峰型(10:00)。淹水年份(2012年)在夏季(6—8月)排放最强,在春末(5月)和秋末冬初(11—12月)排放最弱,而未淹水年份(2013年)在初夏(6月)排放最强,在盛夏(7月)和秋末(11月)转变为较弱的吸收。淹水年份的年排放量((128.0±42.4)mmol/m~2)是未淹水年份((51.5±29.1)mmol/m~2)的2.5倍。滩地人工林幼林CH_4通量的日变化和季节变化最可能受到摩擦风速、水位和土壤温度的调节,而年际间的巨大差异主要由淹水状况决定。     

长期施肥对双季稻田甲烷排放和关键功能微生物的影响

研究不同施肥措施对双季稻田甲烷(CH_4)排放特征的影响及其微生物学机理,对合理利用及评价不同施肥模式对水稻生长的影响具有重要意义。以长期施肥定位试验田为平台,采用静态箱-气相色谱法对施用化肥(MF:mineral fertilizer alone)、秸秆还田配施化肥(RF:rice residues plus mineral fertilizer)、30%有机肥配施70%化肥(LOM:30%organic matter plus 70%mineral fertilizer)、60%有机肥配施40%化肥(HOM:60%organic matter plus 40%mineral fertilizer)和无肥(CK:without fertilizer)条件下双季稻田CH_4排放及其微生物学机理进行了分析。结果表明,早稻和晚稻生长期,不同施肥处理稻田CH_4排放通量均显著高于CK,表现为HOMLOMRFMFCK。各处理间CH_4总排放量差异达显著水平,其大小顺序与排放通量趋势一致,以HOM处理为最高,比CK处理增加105.56%,其次是LOM和RF处理,分别比CK处理增加72.97%和54.17%。关键功能土壤微生物测定结果表明,早稻和晚稻各个主要生育时期,各处理稻田土壤产甲烷古菌的数量变化范围为(3.18—81.07)×10~3cfu/g,土壤甲烷氧化细菌的数量变化范围为(24.82—379.72)×10~3cfu/g。稻田土壤产甲烷古菌和甲烷氧化细菌数量大小顺序为HOMLOMRFMFCK,各施肥处理均显著高于CK;HOM、LOM、RF处理显著高于MF、CK处理。双季稻田CH_4排放与稻田土壤产甲烷古菌、甲烷氧化细菌数量变化关系密切。采用有机无机肥配施促进了双季稻田生态系统CH_4的排放和关键功能微生物的数量。     

张掖湿地甲烷通量动态特征及其影响因子

于2012年7月—2014年6月对地处干旱区的张掖湿地甲烷(CH_4)通量进行观测,分析其CH_4通量的变化特征及其影响因子。结果表明:CH_4通量的日变化趋势总体表现为白天大于夜间;不同季节CH_4通量排放特征差异明显,夏季最大,春秋次之,冬季最小;CH_4通量日总量与空气温度、土壤温度之间指数相关关系显著,其中4 cm处土壤温度与之相关性最强;1—6月摩擦风速(U*)与CH_4通量显著正相关;结合CO_2通量观测数据,研究时段张掖湿地净碳吸收量为495.92 g C m~(-2)a~(-1),为明显碳汇。     

开放式昼夜不同增温对单季稻影响的试验研究

全球变暖趋势日益明朗,且存在明显的季节性差异和昼夜不对称性。水稻是我国最重要的粮食作物,研究水稻生产力对昼夜不同增温的响应与适应对我国未来粮食安全战略决策至关重要。为此,作者在江苏南京设计我国首个稻田开放式增温（FATI：Free Air Temperature Increased) 系统,在2007—2008年对水稻进行昼夜不同增温（全天增温、白天增温和夜间增温）的试验研究。结果表明,该增温系统可以形成4 m2均匀且稳定的增温范围,全天、白天和夜间增温处理平均分别可以使水稻全生育期冠层日均温升高2.0℃、0.6℃和0.9℃。白天增温使水稻全生育期冠层白天温度平均升高1.1℃,夜间增温使夜间温度平均升高1.8℃,与未来的升温幅度相似。全天、白天和夜间增温处理下,水稻冠层温度日较差变化分别为0.1℃、0.6℃和-0.9℃。同时,在该系统的3种增温情景下,水稻分蘖期、孕穗期和灌浆期的田间冠层温度日变化趋势基本与常规对照区一致,全生育期的日平均温度变化趋势也基本一致。两年的增温试验表明,不同增温情景均对水稻的生育进程、成熟期地上生物量和产量产生了明显的影响。其中全天、白天和夜间增温分别使水稻从移栽到始穗平均的日期缩短3.5 d、2 d和2.5 d,但对始穗至成熟期的影响不明显;全天、白天和夜间增温分别使水稻地上生物量降低7.7%、6.6%和2.8%,但差异均不显著;白天和夜间增温分别使水稻产量下降8.9%和4.5%,而全天增温下水稻产量略有上升,但均未达到显著水平。从产量构成来看,增温下有效穗数和结实率呈现递增趋势,每穗粒数和千粒重呈现下降趋势。增温对水稻株高的影响不明显。上述结果表明,该稻田开放式增温系统能满足水稻系统生产力对未来气候变暖响应与适应的试验研究要求,气候变暖对水稻生产力影响的相关模型分析结果也尚需进一步的田间实际增温试验验证,模型所需的相关参数也需要进一步完善。     

冬季水分管理和水稻覆膜栽培对川中丘陵地区冬水田CH4排放的影响

采用静态箱-气相色谱法观测冬季水分管理和水稻覆膜栽培对川中丘陵地区冬水田全年的CH_4排放通量。试验设置持续淹水(CF)、冬季直接落干+稻季淹水(TF)与冬季覆膜落干+稻季覆膜(PM)3个处理。结果表明,冬季休闲期,CF、TF和PM处理CH_4排放分别为16.1、1.4 g/m~2和2.7 g/m~2;水稻生长期,CF、TF和PM处理CH_4排放分别为57.7、27.7 g/m~2和13.5 g/m~2。相较于CF处理,TF与PM处理分别减少其全年CH_4排放60.6%和78.0%。TF与PM处理水稻生长期CH_4排放峰值分别较CF处理低33.0%和56.1%。休闲期,TF、PM处理厢面与厢沟区域CH_4排放与土壤温度显著正相关(P0.05),与土壤氧化还原电位(土壤Eh)显著负相关(P0.05),而CF处理CH_4排放仅与土壤温度显著正相关(P0.05)。水稻生长期,CF处理CH_4排放与土壤温度显著正相关(P0.05),与土壤Eh显著负相关(P0.05),TF处理CH_4排放仅与土壤Eh显著负相关(P0.05),PM处理厢沟CH_4排放与土壤Eh显著正相关(P0.05)。各处理水稻生长期土壤可溶性有机碳含量(DOC)与微生物生物量碳含量(MBC)显著高于休闲期(P0.05)。研究结果为进一步研究冬水田全年CH_4排放规律及寻求有效的减排措施提供数据支撑和科学依据。     

稻田秸秆还田:土壤固碳与甲烷增排

基于我国农田土壤有机质长期定位试验和稻田甲烷排放试验成果,将全国稻田划分为单季区和双季区.根据土壤有机质试验数据,分析了秸秆还田在我国两个稻田区的单季稻田、水旱轮作稻田和双季稻田的固碳潜力.同时根据我国稻田甲烷排放试验数据,采用取平均排放系数的方法,估算了我国稻田在无秸秆还田情况下的甲烷排放总量;结合IPCC推荐的方法和参数,估算了我国稻田秸秆还田后甲烷排放总量及增排甲烷的全球增温潜势.结果表明:在中国稻田推广秸秆还田的固碳潜力为10.48TgC.a-1,对减缓全球变暖的贡献为38.43TgCO2-eqv.a-1;但秸秆还田后稻田甲烷排放将从无秸秆还田的5.796Tg.a-1增加到9.114Tg.a-1;秸秆还田引起甲烷增排3.318Tg.a-1,其全球增温潜势达82.95TgCO2-eqv.a-1,为土壤固碳减排潜力的2.158倍.可见,推广秸秆还田后,中国稻田增排甲烷的温室效应会大幅抵消土壤固碳的减排效益,是一项重要的温室气体泄漏.     

UV-B辐射增强对抗除草剂转基因水稻 CH4排放的影响

在大田条件下,研究了UV-B(ultraviolet-B)辐射增强对抗除草剂转基因水稻及亲本常规水稻甲烷(CH4)排放的影响。UV-B辐射设2水平,即对照(CK,自然光),增强(Elevated,14.4 kJ·m-·2d-1),相当于南京地区大气臭氧耗损25%的辐射剂量。结果表明,UV-B辐射增强并没有改变稻田CH4排放通量的季节性变化规律。与对照相比,UV-B辐射增强显著提高CH4排放通量和累积排放量。水稻分蘖期CH4累积排放量最高,占全生育累积排放量的51.55%—61.01%;其次是拔节至孕穗期,占20.00%—26.64%。抗除草剂转基因水稻的CH4排放通量和累积排放量显著低于亲本常规水稻。研究说明,UV-B辐射增强下种植抗除草剂转基因水稻对于减缓稻田甲烷排放有积极意义。     

Circadian methane oxidation in the root zone of rice plants

In the root zone of rice plants aerobic methanotrophic bacteria catalyze the oxidation of CH₄ to CO₂, thereby reducing CH₄ emissions from paddy soils to the atmosphere. However, methods for in situ quantification of microbial processes in paddy soils are scarce. Here we adapted the push–pull tracer-test (PPT) method to quantify CH₄ oxidation in the root zone of potted rice plants. During a PPT, a test solution containing CH₄ ± O₂ as reactant(s), Cl^? and Ar as nonreactive tracers, and BES as an inhibitor of CH₄ production was injected into the root zone at different times throughout the circadian cycle (daytime, early nighttime, late nighttime). After a 2-h incubation phase, the test solution/pore-water mixture was extracted from the same location and rates of CH₄ oxidation were calculated from the ratio of measured reactant and nonreactive tracer concentrations. In separate rice pots, O₂ concentrations in the vicinity of rice roots were measured throughout the circadian cycle using a fiber-optic sensor. Results indicated highly variable CH₄ oxidation rates following a circadian pattern. Mean rates at daytime and early nighttime varied from 62 up to 451 μmol l^?1 h^?1, whereas at late nighttime CH₄ oxidation rates were low, ranging from 13 to 37 μmol l^?1 h^?1. Similarly, daytime O₂ concentration in the vicinity of rice roots increased to up to 250% air saturation, while nighttime O₂ concentration dropped to below detection (<0.15% air saturation). Our results suggest a functional link between root-zone CH₄ oxidation and photosynthetic O₂ supply.     

Nitrous oxide emission from paddy fields in China

The main research results of nitrous oxide (N₂O) emission from paddy fields in China were summarized. Paddy fields are an important source of N₂O emission. Denitrification process exists not only in the upper flooded cultivated layer in paddy fields but also in the underground saturated soil layer. The cropping system with rice–wheat rotation and the water regime with mid-season aeration (MSA) in paddy fields of China are not only the controlling factors of N₂O emission but also the main factors influencing methane (CH₄) emission. There is a trade-off relationship between N₂O and CH₄ emissions from paddy fields. Straw amendment reduced N₂O emission but promoted CH₄ emission. Therefore, effects of both CH₄ and N₂O emissions from rice fields on the global warming potential (GWP) should be taken into consideration when any mitigation options are to be established.     

Steel slag amendment reduces methane emission and increases rice productivity in subtropical paddy fields in China

Paddy field, being a man-made wetland, is recognized as one of the major sources of global methane (CH₄) emission. Since China has the second-largest area of rice cultivation in the world, it is important to develop valid and reliable strategies to reduce CH₄ emission and sustain rice productivity in Chinese paddy fields. In this study, we applied steel slag fertilizer, a by-product of steel industry with a high concentration of active iron (Fe), at rates of 0, 2, 4, and 8 Mg ha^?1 in subtropical rice (Oryza sativa L.) paddy fields in China to assess the effect of steel slag amendment on CH₄ emissions as well as rice growth and yield characteristics. Results showed that the Fe concentrations in paddy soils significantly increased with the application levels of steel slag fertilizer. Steel slag amendment in paddy fields largely reduced the CH₄ production rate, resulting in a decrease in the overall CH₄ emission rate. In response to the applications of steel slag at a rate of 2, 4 and 8 Mg ha^?1, total CH₄ emission during rice cultivation decreased by 26.6, 43.3 and 49.3 %, respectively. Furthermore, steel slag amendment had a significant, positive effect on the rice grain yield and the percentage of ripened grain, most probably due to the increased availability of inorganic nutrients such as silicate and manganese. Our results suggest that steel slag can be an effective soil amendment for reducing CH₄ emissions as well as increasing rice productivity in subtropical paddy fields in China.     

Methane and soil CO2 production from current‐season photosynthates in a rice paddy exposed to elevated CO2 concentration and soil temperature

Quantification of rhizodeposition (root exudates and root turnover) represents a major challenge for understanding the links between above‐ground assimilation and below‐ground anoxic decomposition of organic carbon in rice paddy ecosystems. Free‐air CO₂ enrichment (FACE) fumigating depleted ¹³CO₂ in rice paddy resulted in a smaller ¹³C/¹²C ratio in plant‐assimilated carbon, providing a unique measure by which we partitioned the sources of decomposed gases (CO₂ and CH₄) into current‐season photosynthates (new C) and soil organic matter (old C). In addition, we imposed a soil‐warming treatment nested within the CO₂ treatments to assess whether the carbon source was sensitive to warming. Compared with the ambient CO₂ treatment, the FACE treatment decreased the ¹³C/¹²C ratio not only in the rice‐plant carbon but also in the soil CO₂ and CH₄. The estimated new C contribution to dissolved CO₂ was minor (ca. 20%) at the tillering stage, increased with rice growth and was about 50% from the panicle‐formation stage onwards. For CH₄, the contribution of new C was greater than for heterotrophic CO₂ production; ca. 40–60% of season‐total CH₄ production originated from new C with a tendency toward even larger new C contribution with soil warming, presumably because enhanced root decay provided substrates for greater CH₄ production. The results suggest a fast and close coupling between photosynthesis and anoxic decomposition in soil, and further indicate a positive feedback of global warming by enhanced CH₄ emission through greater rhizodeposition.     

Revising a process-based biogeochemistry model (DNDC) to simulate methane emission from rice paddy fields under various residue management and fertilizer regimes

A comprehensive biogeochemistry model, DNDC, was revised to simulate crop growth and soil processes more explicitly and improve its ability to estimate methane (CH₄) emission from rice paddy fields under a wide range of climatic and agronomic conditions. The revised model simulates rice growth by tracking photosynthesis, respiration, C allocation, tillering, and release of organic C and O₂ from roots. For anaerobic soil processes, it quantifies the production of electron donors [H₂ and dissolved organic carbon (DOC)] by decomposition and rice root exudation, and simulates CH₄ production and other reductive reactions based on the availability of electron donors and acceptors (NO₃^?, Mn⁴⁺, Fe³⁺, and SO₄^2?). Methane emission through rice is simulated by a diffusion routine based on the conductance of tillers and the CH₄ concentration in soil water. The revised DNDC was tested against observations at three rice paddy sites in Japan and China with varying rice residue management and fertilization, and produced estimates consistent with observations for the variation in CH₄ emission as a function of residue management. It also successfully predicted the negative effect of (NH₄)₂SO₄ on CH₄ emission, which the current model missed. Predicted CH₄ emission was highly sensitive to the content of reducible soil Fe³⁺, which is the dominant electron acceptor in anaerobic soils. The revised DNDC generally gave acceptable predictions of seasonal CH₄ emission, but not of daily CH₄ fluxes, suggesting the model's immaturity in describing soil heterogeneity or rice cultivar‐specific characteristics of CH₄ transport. It also overestimated CH₄ emission at one site in a year with low temperatures, suggesting uncertainty in root biomass estimates due to the model's failure to consider the temperature dependence of leaf area development. Nevertheless, the revised DNDC explicitly reflects the effects of soil electron donors and acceptors, and can be used to quantitatively estimate CH₄ emissions from rice fields under a range of conditions.     

控制大田和自然大田稻纵卷叶螟危害水稻生理生态参数估算模型

为了准确监测和客观评估稻纵卷叶螟对水稻生长发育和产量形成的危害,利用ASD Field Spec3地物波谱仪和SPAD-502叶绿素仪分别采集控制大田试验（2015年和2019年）和自然大田试验（2020年）在各生育期（拔节期、孕穗期、灌浆期、成熟期）水稻的冠层高光谱数据和SPAD值,调查采集样点的虫量和水稻卷叶率,对比分析两种试验中稻纵卷叶螟的虫害发生特征、水稻冠层光谱特征和水稻生理生态参数特征,建立基于高光谱参数的水稻受稻纵卷叶螟危害的生理生态参数估算模型。结果表明,（1）两种试验的水稻SPAD值和冠层的红边至近红外波段的反射率均随着稻纵卷叶螟虫害程度的加重而降低,而可见光波段的反射率则相反;（2）自然大田试验的SPAD值和红光至近红外波段的冠层反射率在水稻生长发育前期要显著低于控制大田试验,而到了后期则反而要略高于控制大田试验;（3）综合分析筛选出自然大田试验和控制大田试验中的多个虫害特征参数和植被指数分别构建出了SPAD的单因子和多因子估算模型,各模型均达到了较好的估算效果,在单因子模型中EVI的二项式函数模拟效果最好,而多因子线性回归估测模型的模拟效果优于所有的单因子模型;（4）通过2021年对这些模型的应用检验发现：这些模型中基于虫量、卷叶率、OSAVI、EVI和DVI的单因子估算模型的SPAD估算值与实测值拟合度很高,其R_v²均超过了0.8,达到了比较理想的估算效果,这为稻纵卷叶螟危害下的水稻SPAD值估测提供了一种精度较高且可行的估算方法。