福州市农田土壤养分空间变异特征

研究农田土壤养分空间分布特征及变异规律,分析地形因子对土壤养分空间分布的影响,对土壤养分的有效利用与管理具有重要意义。本文采用GIS和地统计学相结合的方法,揭示东南丘陵区福州市农田土壤养分（有机质、碱解氮、有效磷和速效钾）的空间分布特征和变异规律,并进一步探讨土壤养分含量与地形因子（地形起伏度、高程、地形湿度指数、沉积运输指数和坡度）之间的相关性。结果表明：福州市农田有机质、碱解氮、有效磷和速效钾含量范围分别为1.10~89.5 g/kg、 1.00~461 mg/kg、0.300~298 mg/kg、和4.00~399 mg/kg,其变异系数范围为35.3%~99.0%,均属于中等变异水平;区域内耕地土壤养分存在明显的空间丰缺差异,大部分地区有机质和有效磷含量较为丰富,碱解氮含量处于中等偏上水平,速效钾含量相对较低;有机质、碱解氮、有效磷和速效钾的块金系数分别为32.0%、37.3%、50.0%和50.0%,均呈中等强度空间自相关,表明同时受到结构和随机因素控制;有机质和碱解氮空间自相关尺度较大,且在步长小于0.3 km时,各方向（0°、45°、90°和135°）变化平稳,为各向同性,而有效磷和速效钾变程较小,且各方向变化较复杂,为各向异性。这些结果表明,政府需加强施肥指导,保持氮肥施用量的同时,合理增加钾肥,适当降低有机肥和磷肥施用。此外,在后续调查采样时,样点布设要考虑密度和方向性,适当加密有效磷和速效钾的采样,而有机质和碱解氮采样可以在此基础上适当减少样点。     

机载多光谱影像语义分割模型在农田防护林提取中的应用

农田防护林是农田生态系统的屏障,其健康状况的监测与评估在我国北方农田林网管理中尤为重要。本文以新疆生产建设兵团第三师51团为研究区,使用复合翼无人机CW-20搭载Micro MCA12 Snap多光谱相机获取农田防护林的多光谱影像,经辐射校正、裁剪等预处理,通过优选有效特征和模型比较,提出农田防护林提取的有效方法。首先,基于原始12波段,依据相关性系数矩阵和最佳指数因子（Optimum Index Factor,OIF）选取最优3波段和植被指数特征进行组合,构建8种农田防护林提取方案;然后,通过建立语义分割Deeplabv3+模型进行精度评价,得到最优3波段组合6（波长710 nm）、8（波长800 nm）、 11（波长900 nm）波段为最佳特征组合;最后,以最优3波段为基础,将Deeplabv3+模型与U-Net、ENVINet5模型进行对比分析。结果表明：Deeplabv3+模型能够更深层次的挖掘光谱中潜在的信息,相比其他模型,能够较好地处理正负样本不均衡问题,获得最高MIoU值85.54%,比U-Net、ENVINet5的MIoU值则分别高出21.21%、27.19%。该研究结果可为基于多光谱遥感影像的语义分割在农田防护林提取及健康状况监测的应用提供借鉴和参考。     

基于高分六号宽幅影像的油菜种植分布区域提取方法

油菜作为我国主要的农业经济作物及食用油的主要来源,及时、准确地获取其种植分布信息,是全面掌握油菜种植状况、加强生产管理、优化作物种植空间格局的重要依据。高分六号（GF-6）的宽视场（Wide Field View,WFV）传感器在可见光-近红外波段基础上增设了2个红边波段、1个黄波段和1个紫波段,为油菜遥感识别提供了更加丰富的光谱信息,进而相较于蓝、绿、红、近红外4个“传统波段”的识别精度有所提升。本文以油菜开花期内两景不同时相GF-6 WFV影像拼接图像作为数据源,选择油菜生产优势区的河南省固始县为研究区,针对油菜同其他地物的“异物同谱”现象以及不同生长阶段油菜的“同物异谱”现象,利用油菜开花期独特的反射光谱特征,结合均值间标准化近距离提出了NDSI₂₈、S₃₄、NDSI₂₃和NDSI₄₆共4个光谱指数,并由此构建油菜种植区域提取的决策树模型。研究结果表明,基于4个指数组合构建的决策树模型对油菜种植分布信息的提取达到了较好的效果,总体精度为96.17%,与随机森林、支持向量机、最大似然法相比分别高出0.31%、0.88%和1.24%;制图精度方面,决策树法为98.15%,比随机森林、支持向量机、最大似然法分别高4.72%、4.21%和5.59%;对于用户精度,决策树法为86.89%,较随机森林、最大似然法分别低2.2%和1.63%,比支持向量机高0.11%。由此说明,GF-6 WFV数据中的新增波段极大地丰富了其光谱信息,使其在包括油菜在内的农作物种植分布信息提取中具有独特的优势和巨大潜力。     

A GIS-based Tupu Analysis of Dynamics of Saline-alkali Land in Western Jilin Province

Based on Tupu theory, this paper studied the dynamic changes, conversion modes, expansion intensity and landscape attributes of the saline-alkali lands in Changling County, Zhenlai County and Da'an City of the western Jilin Province in 1980-2000 with the help of GIS. The results show that the saline-alkali land rather sharply increased in Da'an during 1995-2000; the main conversion processes in the three counties were from grassland to saline-alkali land and from saline-alkali land to grassland; and the typical shapes, spatial expansion speed and mode, and landscape attributes of the saline-alkali land were different in the three counties, which were closely related to local topography, predominant wind orientation, water resources distribution, etc. The corresponding spatial expansion mode was marginality in Changling, random in Zhenlai and more kernels in Da'an, respectively. Landscape attributes also responded to the spatial-temporal dynamic changes of the saline-alkali land and the landscape indices of Da'an fluctuated greatly. The frame of this research may provide fundamental reference for landscape analysis and give some suggestions for regional sustainable development.     

The impact of nitrogen amendment and crop growth on dissolved organic carbon in soil solution

Dissolved organic carbon (DOC) is an important component of the terrestrial carbon cycle. However, the sources and controlling factors of DOC in soils remain uncertain. In this study, the effects of nitrogen (N) amendment and crop growth on DOC in soil solution were examined at a maize-wheat rotated field located in the central Sichuan Basin in southwestern China. Nitrogen treatments in this study included 150 kg N ha^-1 season^-1, 200 kg N ha^-1 season^-1 and the control without any fertilizer application. During the whole experimental period, we observed significant decreases (p<0.05) in DOC concentrations in the sampled soil solutions associated with increase in N inputs at the bare soil plots, but no change in DOC at the plots with crop growth. The estimated average contributions of plantderived DOC were 16%, 24% and 32% of total DOC in the summer maize season and 21%, 32% and 38% in the winter wheat season along with the gradient of N fertilizer application rates. The results implied that the crop growth could play a key role in the soil DOC production, and the N input enhanced DOC production by increasing crop growth. The relationship between the DOC concentrations and the crop root biomass was statistically significant for both the maize and winter wheat seasons. Our observations indicated that crop growth exerted greater influence on the seasonal variability of DOC concentration in soil solutions at the experimental site, which overwhelmed the effect of soil native organic matter decomposition on DOC concentrations in soil solutions.     

Dynamics of saline-alkali land and its ecological regionalization in western Songnen Plain,China

As the important reserve land resources for food production,saline-alkali land should play a significant role to ensure the national food security in the context of global food crisis. The western Songnen Plain is one of main distribution regions of saline-alkali land in China,with great potential in agricultural development. In this study,the extent,transformation,spatial distribution and temporal change of saline-alkali land in the western Songnen Plain during 1954–2005 were investigated by using remote sensing and GIS spatial analysis methods. Saline-alkali land change was detected from a temporal series of topographic maps in 1954,satellite images of Landsat MSS in 1976,Landsat TM/ETM in 1988,2000 and 2005 through artificial visual interpretation. The results indicated a significant expansion in saline-alkali land area and aggravation in salinization. The area of saline-alkali land had increased from 401.48×103 ha in 1954 to 1 097.45×103 ha in 2005. While the ratio of light,moderate and serious salinized land areas changed from 6.72︰2.92︰1.00 to 1.25︰1.06︰1.00 in the study period. Grassland,cropland,swampland and water body were the major land use and land cover types from which saline-alkali land transformed. And the secondary salinization occured mainly in Da′an City,Tongyu County,Changling County,Daqing City,Dorbod Mongolian Autonomous County and Zhaoyuan County. Finally,seven large ecoregions and 14 corresponding sub-ecoregions were delineated out based on spatio-temopral dynamic characteristics of saline-alkali land and geo-relational environmental attributes. According to the results,measures of amelioration and ways of development of saline-alkali land in the western Songnen Plain were put forward.     

氮肥施用量对冬小麦氮肥利用率及土壤剖面NO － / 3－N动态分布的影响

通过 6个氮水平小区试验 ,研究了不同氮肥用量对冬小麦氮肥利用率和土壤剖面 NO3 -- N动态分布的影响。结果表明 ,氮肥利用率有随施氮量的增加而递减的趋势 ;土壤剖面 NO3 -- N含量则有随氮肥施用量增加而增加的趋势 ,而在同一氮水平下 ,从土壤表层到深层 (10 0 cm) ,则有递减的趋势。在冬小麦生育期中 ,以开花期 80～ 10 0 cm土壤剖面累积的 NO3 -- N量最多 ,因此最有可能淋洗出根层 ,对地下水造成污染     

基于广义回归神经网络的京津冀地区土壤湿度遥感逐日估算研究

土壤湿度是地表水热交换过程和水文循环中的一个关键组成部分,获取高时空分辨率的土壤湿度数据一直是当前研究的热点。SMAP（Soil Moisture Passive and Active）主被动微波土壤湿度产品的精度高,但存在着空间分辨率低和时间分辨率缺失的问题,这限制了其在区域尺度上的应用,为解决这一问题得到更高时空分辨率的土壤湿度产品,本文利用广义回归神经网络模型（GRNN）模拟了MODIS地表温度、反射率、植被指数光学/热红外遥感数据以及高程、坡度、坡向、经纬度数据与SMAP土壤湿度的关系,从而将京津冀地区SMAP L2土壤湿度产品的时间分辨率由不连续（4~20 d）提升至1 d,空间分辨率由3 km提升至1 km,并扩展其在京津冀地区的空间覆盖范围。研究发现:① GRNN模型总体验证结果表明土壤湿度估算值与SMAP原始值的相关性较高（r=0.7392）,均方根误差（RMSE）为0.0757 cm3/cm3;② 不同季节典型日期的GRNN模型估算结果精度相差较大,春季处的相关性相比其他季节最低,精度相对较高（r_春=0.6152,RMSE_春=0.0653cm3/cm3）,秋季和夏季土壤湿度估算精度较为接近（r_夏=0.6957,r_秋=0.7053,RMSE_夏=0.0754cm3/cm3,RMSE_秋=0.0694cm3/cm3）,冬季的估算精度最高（r_冬=0.8214,RMSE_冬=0.0367cm3/cm3）;③ 2016年京津冀夏秋季节的土壤湿度较其他季节要显著提高,空间分布上坝上高原区域较低,而沿海地区的土壤湿度明显较高。本研究对京津冀地区的生态水文、气候预测以及干旱监测等应用领域具有重要价值。     

Application of matter-element model in soil nutrient evaluation of ecological fragile region

On the basis of the soil environment investigation in Da'an City, Jilin Province, China, 40 soil samples from main land use types were obtained and tested by standard method. Soil organic matter (SOM), total N (TN), total P (TP), total K (TK), available N (AN), available P (AP) and available K (AK) were chosen as the evaluation factors. A regional soil nutrient evaluation model was developed based on the matter-element model. The results show that the soil samples with nutrient grade Ⅱ-Ⅴ respectively account for 10%, 30%, 32.5% and 27.5%, and those with grade Ⅳ and Ⅴ account for 60% in all samples. The relationship between soil nutrients and land types indicates that the nutrients of farmland are relatively good, with 41.7% of soil samples with the nutrient grade Ⅳ and Ⅴ. The nutrients of saline-alkali land and sandy land are the worst, with 100% of soil samples with the nutrient grade Ⅳ and Ⅴ. And the ratios of soil samples grade Ⅳ and Ⅴ in grassland and wasteland are respectively 62.5 % and 54.55%. Generally speaking, the soil nutrients status in Da'an City is poor, 60% of soil samples are in poor and extremely poor conditions, indicating that the soil has been severely eroded. Being a relatively superior evaluation method with more accurate resuits and spatial distribution consistency, matter-element analysis is more suitable for regional soil nutrient evaluation than previous models.     

A quantification of the effects of erosion on the productivity of purple soils

Research on the effects of soil erosion on soil productivity has attracted increasing attention.Purple soil is one of the main soil types in China and plays an important role in the national economy.However,the relationship between erosion and the productivity of purple soils has not been well studied.The purpose of this research was to determine if soil depth,which is dependent on the rate of erosion,has an influence on crop yield and growth.Plot and pot experiments at different soil depths were performed.Results indicate that soils from different parental materials had different growth features and crop yields due to the differential fertility of the derived soils.The yield reduction rate increases exponentially with the depth of eroded soil(level of erosion).The yield reduction rate per unit eroded soil horizon(10 cm) is approximately 10.5% for maize and wheat.     

Modeling of forest soil and litter health using disturbance and landscape heterogeneity indicators in northern Iran

This paper focuses on the indicators of soil and litter health, disturbance, and landscape heterogeneity as a tool for prediction of ecosystem sustainability in the northern forests of Iran. The study area was divided into spatial homogenous sites using slope, aspect, and soil humidity classes. Then a range of sites along the disturbance gradient was selected for sampling. Chemical and physical indicators of soil and litter health were measured at random points within these sites. Structural equation modeling (SEM) was applied to link six constructs of landscape heterogeneity, three constructs of disturbance (harvest, livestock, and human accessibility), and soil and litter health. The results showed that with decreasing accessibility, the total N and organic matter content of soil increased and effective bulk density decreased. Harvesting activities increased soil organic matter. Therefore, it is concluded that disturbances through harvesting and accessibility inversely affect the soil health. Unexpectedly, it was found that the litter total C and C:N ratio improved with an increase in the harvest and accessibility disturbances, whereas litter bulk density decreased. Investigation of tree composition revealed that in the climax communities, which are normally affected more by harvesting activities, some species like Fagus orientalis Lipsky with low decomposition rate are dominant. The research results showed that changes in disturbance intensity are reflected in litter and soil indicators, whereas the SEM indicated that landscape heterogeneity has a moderator effect on the disturbance to both litter and soil paths.     

A systems approach for analyzing vegetative and soil degradation in Arnigad micro-watershed of Indian Himalayan region

This study analyzes the vegetative and soil degradation, measured as biomass and soil loss, for Arnigad micro-watershed located in Indian Himalayan state of Uttarakhand, in systems framework by using dynamic linear programming bio-economic model. The focus is at investigating the effects of alternate policy regimes, i.e., introduction of improved energy sources for cooking along with substitution of existing local livestock breeds with improved breed, reduction in human population growth and introduction of high yielding varieties of main crops including paddy, maize and wheat. The model horizon extended over a period of 25 years, i.e., from 2006 to 2030. It was found that the model scenario incorporating increased use of improved energy sources along with substitution of local cows by improved cows could be the most effective policy option in reducing vegetative and soil degradation. The vegetative biomass density declined to 19.76% compared to 35.24% in the BASE scenario and soil erosion loss was also lowered by 29.13%. Also, the reduction of population growth rate to half of the BASE scenario led to minor improvements in degradation. Introduction of high yielding varieties of main crops slightly increased vegetative degradation but reduced soil loss (8.35%) with respect to the BASE scenario. Such a phenomenon could be explained in terms of changed crop mix resulting in reduced amount of crop by-products requiring increased lopping of tree branches for animal fodder. The policy option of the increased use of improved energy sources along with substitution of improved breed of cows resulted in 9.58% higher income. Introduction of high yielding varieties of crops led to 1.92% increase in income, but the income decreased by 1.25 % when population growth was reduced to half. The usefulness of the model lies in analyzing the systems behavior in its entirety where the results can predict the possible direction of change as a result of manipulation in alternate economic regimes.     

Soil organic carbon and nutrients along an alpine grassland transect across Northern Tibet

Soil carbon and nutrient contents and their importance in advancing our understanding of biogeochemical cycling in terrestrial ecosystem, has motivated ecologists to find their spatial patterns in various geographical area. Few studies have focused on changes in the physical and chemical properties of soils at high altitudes. Our aim was to identify the spatial distribution of soil physical and chemical properties in cold and arid climatic region. We also tried to explore relationship between soil organic carbon (SOC) and total nitrogen (TN), total phosphorus (TP), available nitrogen (AN), available phosphorus (AP), soil particle size distribution (PSD). Samples were collected at 44 sites along a 300 km transect across the alpine grassland of northern Tibet. The study results showed that grassland type was the main factor influencing SOC, TN and TP distribution along the Gangdise Mountain-Shenzha-Shuanghu Transect. SOC, TN and TP contents were significantly higher in alpine meadow than alpine steppe ecosystems. SOC, TN, TP and AN contents in two soil layers (0-15 cm and 15-30 cm) showed no significant differences, while AP content in top soil (0-15 cm) was significantly higher than that in sub-top soil (15-30 cm). SOC content was correlated positively with TN and TP content (r = 0.901 and 0.510, respectively). No correlations were detected for clay content and fractal dimension of particle size distribution (D). Our study results indicated the effects of vegetation on soil C, N and P seem to be more important than that of rocks itself along latitude gradient on the northern Tibetan Plateau. However, we did not found similar impacts of vegetation on soil properties in depth. Inaddition, this study also provided an interesting contribution to the global data pool on soil carbon stocks.