云南省宜良县26年来耕地土壤养分状况及变化特征

2006年宜良县土壤养分调查结果表明:全县耕地土壤有机质、全氮、碱解氮、速效磷、速效钾含量分别为32.41g kg-1、1.77 g kg-1、128.4 mg kg-1、35.5 mg kg-1、161.7 mg kg-1,与1980年相比较,水稻土有机质、速效磷、速效钾含量分别增加了1.61 g kg-1、13.0 mg kg-1、87.0 mg kg-1,旱地土分别增加了3.75 g kg-1、21.3 mg kg-1、162.8 mg kg-1.然而,汤池镇、耿家营乡和竹山乡的水稻土有机质含量,耿家营乡和狗街镇的旱地土有机质含量,南羊镇旱地土速效磷含量与1980年相比都发生了不同程度的减少.     

提取剂和土水比对旱耕地土壤无机和有机磷的提取效应

比较了O lsen(0.5 mol L-1NaHCO3)和B ray-1(0.03 mol L-1NH4F-0.025 mol L-1HC l)提取剂土水比1∶4和1∶20(W/V),对我国5种类型旱耕地土壤(pHKC l3.3~7.4)无机磷(Pi)和有机磷(Po)及外加正磷酸盐态无机磷的提取效应。结果表明,以O lsen提取剂土水比1∶20对土壤Pi和Po的提取效果最佳,其测定结果是评价土壤磷素供应能力(有效磷)和活性有机磷含量较为适宜的指标。测定的土壤大多数(占60%)磷素供应能力较差(O lsen-Pi为4.2~14.0mg kg-1),应适当加强其磷素的投入。测定的土壤活性有机磷(O lsen-PO)含量为1.4~37.9 mg kg-1,占土壤全磷的0.2%~15.8%,大多数(75%)土壤占1%~6%。采用O lsen提取剂时土壤外加Pi的固定率随土水比减小而增高,当土水比1∶4提取时,酸性和强酸性(pHKC l3.3~5.5)土壤对外加Pi的固定率达40%~86%,据此推测实际田间条件下土壤对外加Pi的固定率更大。表明酸性和强酸性旱耕地土壤对外加Pi具有强烈的固定作用。     

应用硅素释放动力学方程评价水稻土供硅能力Ⅰ硅素释放动力学方程参数与水稻相对产量的关系

在淹水培养条件下,进行了12种不同pH水稻土硅素累积释放试验,结合田间试验的效果,研究了土壤有效硅、水稻土硅的累积释放特征及其与硅肥肥效之间的关系。结果表明:1mol L-1HAc-NaAc(pH=4)缓冲液法不能直接判断碱性水稻土供硅能力。不同pH水稻土中硅素的释放过程可以用方程y=kxm来描述。土壤硅素120日累积释放量、硅素释放初始速率km与水稻相对产量具有显著的线性正相关关系。因此,应用土壤硅素释放动力学方程参数能够评价不同pH水稻土的供硅能力。     

消落带土壤铁的形态变化及其对有效磷的影响

Fe3 还原为Fe2 的过程中会增加磷酸铁的溶解,影响磷的化学行为及有效性.本文采用室内模拟试验研究了三峡库区消落带土壤铁的形态变化及其对有效磷的影响.消落带旱地和水田土壤经淹水和落水处理后,活性铁、水溶性铁增加,其他各形态铁变化较小.旱地土壤在不同的有机质和淹水落水处理下,其活化铁、游离铁、络合铁、水溶性亚铁、和交换性亚铁均为淹水处理高于落水处理,其中活性铁在各处理间呈现出显著性差异,其他则各处理间差异均未达到显著性水平;水田下层活性铁高于上层,且落水处理间呈显著差异.氧化铁及亚铁之间总处于不断的相互转化中,活性铁、络合铁和有机质正相关.旱地土壤中的有效磷各处理间差异显著,水田有效磷淹水处理高于落水处理.     

不同缓/控释氮肥在玉米苗期的养分释放与转化研究

采用盆栽试验,模拟田间生态环境,研究施用不同缓/控释氮素肥料在玉米苗期的土壤尿素态氮、硝态氮、铵态氮及矿质态氮数量。研究表明,施用醋酸酯淀粉包膜脲酶抑制剂NBPT涂层大颗粒尿素肥料的尿素态氮含量最高,为21.29 mg kg-1土;硝化抑制剂DCD与NBPT混合涂层大颗粒尿素、醋酸酯淀粉包膜DCD与NBPT混合涂层大颗粒尿素的铵态氮含量最高,分别达到60.22 mg kg-1土和59.93 mg kg-1土,硝态氮含量最低,分别为29.82 mg kg-1土、27.97 mg kg-1土,相互间差异不显著;醋酸酯淀粉包膜大颗粒尿素的硝态氮和矿质态氮含量都最高,分别为102.08 mg kg-1土和135.25mg kg-1土,铵态氮、尿素态氮含量最低,分别为33.16 mg kg-1和3.42 mg kg-1土,相互间无显著差异;DCD与NBPT混合涂层大颗粒尿素、丙烯酸树脂包膜NBPT涂层大颗粒尿素、醋酸酯淀粉包膜DCD与NBPT混合涂层大颗粒尿素和丙烯酸树脂包膜DCD与NBPT混合涂层大颗粒尿素在玉米苗期的土壤矿质态氮含量最少,相互间无显著差异,分别为89.75 mg kg-1土、93.70 mg kg-1土、88.19 mg kg-1土和86.22 mg kg-1土,说明它们在玉米苗期氮素养分释放量最少,包膜和抑制剂的作用效应较好。     

不同磷水平对水稻土供锌能力的影响

通过室内培养的方式研究了不同磷浓度对土壤供锌容量-强度(Q/I)关系的影响,并应用能量的观点探讨不同磷浓度对土壤中锌的交换过程的影响。结果表明:在不供磷条件下,盘锦盐渍型水稻土的供锌能力最强,沈阳盐渍型水稻土次之,而抚顺潜育型水稻土最差;不同磷水平对锌浓度的改变值(△Zn)、活度比(AR)和交换自由能(△G)均没有显著影响,而这些指标的显著变化是由于不同锌水平的差异引起的。     

江西省农田土壤有效硫现状研究

采集了江西 1 6个县市 9种主要母质的 6 0 9个农田耕层土样进行了土壤有效硫含量测定 .统计结果表明 :平均值为 2 6 7mg/kg ,缺硫和潜在缺硫样点占 39 1 % .按地区分 ,以赣南、赣东北山区缺硫最严重 ,有效硫小于 1 2mg/kg的样点占 2 6 6 %～ 4 4 7% ,其次是丘陵地区 ,有效硫小于 1 2mg/kg的样点占1 0 0 %～ 1 9 0 % .按母质分 ,以石英岩、花岗岩发育的土壤最缺 ,约占 50 %～ 6 0 % ,其次是红砂岩、泥质岩 ,缺硫为 30 %～ 4 0 % ,这些是江西省急需施用硫肥的土壤 .水稻土以黄砂泥田、麻砂泥田、红砂泥田、鳝泥田等土属有效硫缺乏面积最大 ,全省水稻土有效硫缺乏的面积约为 1 0 3 8万hm2 ,约占水稻土面积的 34 % .     

含钾有机废弃物糠醛渣改土培肥效应研究

在河西走廊的盐化潮土上设置了糠醛渣的改土培肥田间试验,结果表明:甜菜施用糠醛渣与施用化肥比较,土壤容重、全盐、pH分别降低0.21g cm-3、0.36g kg-1、0.37;总孔度、自然含水量、贮水量、团粒结构、有机质、速效N、P、K、CEC分别增加7.93%、79.90g kg-1、131.95m3 hm-3、4.75%、0.61g kg-1、12.96mg kg-1、1.24mg kg-1、6.78mg kg-1、1.89cmol kg-1。施肥成本降低90元hm-2,施肥利润增加1716元hm-2。且施用糠醛渣能提高土壤中磷的活性和磷的利用率。     

三江平原土地耕作对土壤氮矿化势和硝化势的影响

研究了三江平原土地耕作对土壤矿化势和硝化势的影响。研究表明,随着耕作年限的增加,土壤氮矿化势在降低,耕作3年土壤为23.020±1.562mg kg-1,7、15、25年分别为22.649±2.597 mg kg-1,22.856±3.594 mg kg-1,17.315 ±0.256 mg kg-1;而弃耕后,土壤矿化势增加,土壤的矿化势与土壤活性有机质含量呈正相关(r=0.95)。硝化势的变化正相反,耕作3、7、15、25年土壤硝化势分别为0.055±0.005 mg kg-1d-1,0.083±0.001 mg kg-1d-1,0.101±0.025 mg kg-1d-1和0.086±0.015 mg kg-1d-1,在耕作土壤中pH值是影响硝化的主要因素。一般说来,随着耕作年限增加,土壤的供氮能力在降低,氮的可利用性下降;相反,弃耕能提高土壤的供氮能力,增加土壤氮的可利用性。     

辽河平原地区长期施肥水稻土氮素矿化及其模拟的研究

采用长期淹水密闭--间歇淋洗培养方法和分析手段,研究了辽河平原地区连续16年长期不同施肥(不施氮肥、氮肥、氮肥 有机肥、氮肥 有机肥 放萍)水稻土氮素的矿化过程.结果表明长期不同施肥水稻土氮矿化量为N15.61～103.57 mg kg-1,为全N的1.25%～5.66%;氮肥 有机肥处理土壤氮矿化量最高,占全氮比率最大,而氮肥处理土壤氮矿化量最低,占全氮的比率最小;氮矿化量与全氮、有机质、C/N之间呈显著相关关系(P<0.05).选择有效积温式(EATM);一级反应式(One-pool模型);带常数项的一级反应式(special模型),对实验数据进行拟合.非线性拟合结果表明special模型明显优于One-pool模型和有效积温式(EATM).分析表明Special模型能更为准确地描述长期不同施肥措施下水稻土有机氮素的矿化.     

杂交早稻旱育秧,水育秧和板田育秧方式秧苗素质比较

比较南方稻区并存的旱育秧、板田育秧和水育秧3种主要育秧方式秧苗的形态、生理及抗逆性表明,旱育苗根系发达,生长健壮,活力高,吸收氮、磷、钾能力强;叶片宽大健挺,叶鞘粗短,分蘖到位率高;生理素质优良,干物质积累多,组织充实,碳、氮代谢协调,抗逆性加抗寒性、立苗能力和抗涝能力明显优于板田育秧和水育秧。     

Mapping paddy rice agriculture in southern China using multi-temporal MODIS images

Information on the area and spatial distribution of paddy rice fields is needed for trace gas emission estimates, management of water resources, and food security. Paddy rice fields are characterized by an initial period of flooding and transplanting, during which period open canopy (a mixture of surface water and rice crops) exists. The Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the NASA EOS Terra satellite has visible, near infrared and shortwave infrared bands; and therefore, a number of vegetation indices can be calculated, including Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI) and Land Surface Water Index (LSWI) that is sensitive to leaf water and soil moisture. In this study, we developed a paddy rice mapping algorithm that uses time series of three vegetation indices (LSWI, EVI, and NDVI) derived from MODIS images to identify that initial period of flooding and transplanting in paddy rice fields, based on the sensitivity of LSWI to the increased surface moisture during the period of flooding and rice transplanting. We ran the algorithm to map paddy rice fields in 13 provinces of southern China, using the 8-day composite MODIS Surface Reflectance products (500-m spatial resolution) in 2002. The resultant MODIS-derived paddy rice map was evaluated, using the National Land Cover Dataset (1:100,000 scale) derived from analysis of Landsat ETM+ images in 1999/2000. There were reasonable agreements in area estimates of paddy rice fields between the MODIS-derived map and the Landsat-based dataset at the provincial and county levels. The results of this study indicated that the MODIS-based paddy rice mapping algorithm could potentially be applied at large spatial scales to monitor paddy rice agriculture on a timely and frequent basis.     

辽宁省稻田土壤供钾状况研究

据测定,辽宁省水稻土速效钾、缓效钾的平均含量均以盘锦、营口地区的盐渍型水稻土为最高,其次是东港地区盐渍型、淹育型和潜育型水稻土以及铁岭地区淹育型水稻土,最低的是沈阳地区淹育型水稻土。各地区水稻土的供钾强度(Ⅰ)、供钾容量(Q)以及供钾缓冲力(Q/I),均按上述地区顺序依次递减。出现这些差异,是由于土壤成土母质、粘土矿物类型、钾肥用量、灌溉水水质以及土壤基本性质,诸如粘粒含量、阳离子交换量、pH值等因素不同而造成的。盘锦、营口稻区水稻土在这几方面都占优势。     

基于面向对象分类方法的乌苏里江流域中俄跨境区域湿地景观动态研究

选取乌苏里江中下游干流50km缓冲区为研究区,以1989、2000和2013年的Landsat TM、OLI遥感影像为数据源,利用面向对象的分类方法获取湿地信息;在GIS技术支持下,选取斑块类别面积(CA)、面积所占比例(PLAND)、最大斑块面积指数(LPI)、平均斑块面积(AREA-MN)、斑块数(NP)、斑块密度(PD)等景观格局指数,分析了研究区1989~2013年湿地的景观格局动态特征。结果表明:面向对象的分类方法能够准确提取湿地信息,并且有效地避免"椒盐现象";1989~2013年,该区水田、水库/坑塘、运河/水渠、灌丛沼泽增加和河流、湖泊、草本沼泽、森林沼泽减少;大量草本沼泽转为水田为该区湿地变化主要特征;1989年湿地类型以草本沼泽为主,2013年水田的斑块面积略高于草本沼泽斑块面积;湿地景观变化区主要分布于中国一侧的挠力河流域和穆棱河流域;天然湿地景观破碎化程度逐年加深,人工湿地景观趋于聚集,人为干扰是导致湿地景观格局变化的主要动力;中俄两国境内湿地景观变化程度差异显著,中国境内大量天然湿地转为人工湿地;俄罗斯境内的湿地变化微小,天然湿地保存较好。农田垦殖是导致两国湿地景观破碎程度差异的主要原因。     

Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images

In this paper, we developed a new geospatial database of paddy rice agriculture for 13 countries in South and Southeast Asia. These countries have ∼ 30% of the world population and ∼ 2/3 of the total rice land area in the world. We used 8-day composite images (500-m spatial resolution) in 2002 from the Moderate Resolution Imaging Spectroradiometer (MODIS) sensor onboard the NASA EOS Terra satellite. Paddy rice fields are characterized by an initial period of flooding and transplanting, during which period a mixture of surface water and rice seedlings exists. We applied a paddy rice mapping algorithm that uses a time series of MODIS-derived vegetation indices to identify the initial period of flooding and transplanting in paddy rice fields, based on the increased surface moisture. The resultant MODIS-derived paddy rice map was compared to national agricultural statistical data at national and subnational levels. Area estimates of paddy rice were highly correlated at the national level and positively correlated at the subnational levels, although the agreement at the national level was much stronger. Discrepancies in rice area between the MODIS-derived and statistical datasets in some countries can be largely attributed to: (1) the statistical dataset is a sown area estimate (includes multiple cropping practices); (2) failure of the 500-m resolution MODIS-based algorithm in identifying small patches of paddy rice fields, primarily in areas where topography restricts field sizes; and (3) contamination by cloud. While further testing is needed, these results demonstrate the potential of the MODIS-based algorithm to generate updated datasets of paddy rice agriculture on a timely basis. The resultant geospatial database on the area and spatial distribution of paddy rice is useful for irrigation, food security, and trace gas emission estimates in those countries.     

Evaluation of optical satellite remote sensing for rice paddy phenology in monsoon Asia using a continuous in situ dataset

In monsoon Asia, optical satellite remote sensing for rice paddy phenology suffers from atmospheric contaminations mainly due to frequent cloud cover. We evaluated the quality of satellite remote sensing of paddy phenology: (1) through continuous in situ observations of a paddy field in Japan for 1.5 years, we investigated phenological signals in the reflectance spectrum of the paddy field; (2) we tested daily satellite data taken by Terra/Aqua MODIS (MOD09 and L1B products) with regard to the agreement with the in situ data and the influence of cloud contamination. As a result, the in situ spectral characteristics evidently indicated some phenological changes in the rice paddy field, such as irrigation start, padding, heading, harvest and ploughing. The Enhanced Vegetation Index (EVI) was the best vegetation index in terms of agreement with the in situ data. More than 65% of MODIS observations were contaminated with clouds in this region. However, the combined use of Terra and Aqua decreased the rate of cloud contamination of the daily data to 43%. In conclusion, the most robust dataset for monitoring rice paddy phenology in monsoon Asia would be daily EVI derived from a combination of Terra/MODIS and Aqua/MODIS.     

Analysis of the applicability of multi-temporal full polarimetric airborne L-band SAR scattering to paddy rice field mapping

ABSTRACT

A Synthetic Aperture Radar (SAR) is an all-weather imaging system that is often used for mapping paddy rice fields and estimating the area. Fully polarimetric SAR is used to detect the microwave scattering property. In this study, a simple threshold analysis of fully polarimetric L-band SAR data was conducted to distinguish paddy rice fields from soybean and other fields. We analysed a set of ten airborne SAR L-band 2 (Pi-SAR-L2) images obtained during the paddy rice growing season (in June, August, and September) from 2012 to 2014 using polarimetric decomposition. Vector data for agricultural land use areas were overlaid on the analysed images and the mean value for each agricultural parcel computed. By quantitatively comparing our data with a reference dataset generated from optical sensor images, effective polarimetric parameters and the ideal observation season were revealed. Double bounce scattering and surface scattering component ratios, derived using a four-component decomposition algorithm, were key to extracting paddy rice fields when the plant stems are vertical with respect to the ground. The alpha angle was also an effective factor for extracting rice fields from an agricultural area. The data obtained during August show maximum agreement with the reference dataset of estimated paddy rice field areas.     

Mapping paddy rice fields by applying machine learning algorithms to multi-temporal Sentinel-1A and Landsat data

Sentinel-1A synthetic aperture radar (SAR) data present an opportunity for acquiring crop information without restrictions caused by weather and illumination conditions, at a spatial resolution appropriate for individual rice fields and a temporal resolution sufficient to capture the growth profiles of different crop species. This study investigated the use of multi-temporal Sentinel-1A SAR data and Landsat-derived normalized difference vegetation index (NDVI) data to map the spatial distribution of paddy rice fields across parts of the Sanjiang plain, in northeast China. The satellite sensor data were acquired throughout the rice crop-growing season (May–October). A co-registered set of 10 dual polarization (VH/VV) SAR and NDVI images depicting crop phenological development were used as inputs to Support Vector Machine (SVM) and Random Forest (RF) machine learning classification algorithms in order to map paddy rice fields. The results showed a significant increase in overall classification when the NDVI time-series data were integrated with the various combinations of multi-temporal polarization channels (i.e. VH, VV, and VH/VV). The highest classification accuracies overall (95.2%) and for paddy rice (96.7%) were generated using the RF algorithm applied to combined multi-temporal VH polarization and NDVI data. The SVM classifier was most effective when applied to the dual polarization (i.e. VH and VV) SAR data alone and this generated overall and paddy rice classification accuracies of 91.6% and 82.5%, respectively. The results demonstrate the practicality of implementing RF or SVM machine learning algorithms to produce 10 m spatial resolution maps of paddy rice fields with limited ground data using a combination of multi-temporal SAR and NDVI data, where available, or SAR data alone. The methodological framework developed in this study is apposite for large-scale implementation across China and other major rice-growing regions of the world.     

不同辐射校正水平下水稻植被指数监测对比分析

归一化植被指数(NDVI)是反映植被长势特征的重要参数之一。获取准确的植被指数对揭示植被长势变化等定量遥感分析至关重要。基于不同辐射校正水平(辐射定标与大气校正),分别利用Landsat ETM+影像的灰度值(DN)、表观(TOA)反射率与地表(Surface)反射率计算相应NDVI,并根据鄱阳湖区野外定点观测数据,从农田、景观尺度揭示不同辐射校正水平下水稻生育期内NDVI动态变化特征。结果表明,根据DN、TOA反射率与Surface反射率提取的NDVI基本上可以反映出年内水稻不同熟制种植信息变化特征,即移栽期NDVI处于谷值,孕穗抽穗期NDVI达到峰值。但相应NDVI逐渐增加,且波动范围逐渐增大。就不同熟制水稻生育期而言,根据DN值计算并构建的NDVI曲线差异较小,而根据TOA反射率与Surface反射率反演的NDVI曲线差异明显。在植被定量遥感研究中,通过大气校正反演地表反射率计算植被指数相对客观准确。     

基于特征波段的SPOT-5卫星影像水稻面积信息自动提取的方法研究

为了快速、准确地从遥感影像上提取水稻信息,满足国家农情遥感监测系统要求,以黑龙江省852农场水稻提取为例,利用SPOT-5卫星影像数据,分析了水稻和其它背景地物的光谱特征,发现利用原有波段难以提取复杂的水稻信息,因此利用植被特征波段：归一化植被指数（NDVI）作为新波段融入原始影像中,在增加有效信息量的同时运用简单决策树模型提取水稻信息,并参照地块现状矢量图进行精度评价。结果表明,该方法的总体提取效果较好,其提取精度与通常的监督分类方法相比有了较大的提高,只是在水稻和玉米交界处有误判现象。