Spatio-temporal Evaluation of Multi-scale Cultivated Land System Resilience in Black Soil Region from 2000 to 2019:A Case Study of Liaoning Province,Northeast China

It is of great significance to systematically analyze the cultivated land system resilience(CLSR) for the black soil protection and national food security.The CLSR is impacted by planting structure adjustment and cultivated land quality decline,posing major hidden dangers to food security.It is urgent to evaluate the CLSR at multiple spatio-temporal scales.This study took Liaoning Province in the black soil region of Northeast China as an example.Based on the resilience theory,this study constructed the CLSR evaluation system from the input-feedback perspective at the provincial-scale and the city-scale,and used the rank-sum ratio comprehensive evaluation method(RSR) to analyze the key influencing factors of CLSR in Liaoning Province and its 14 cities from 2000 to 2019.The results showed that:1) the time series changes of CLSR at the provincial-scale and the city-scale in Liaoning Province were similar,both showing an increasing trend.2) The CLSR in Liaoning Province presented a spatial pattern of ‘high in the west and low in the east’ at the city-scale.3) There were seven and six main influencing factors of CLSR at the provincial-scale and the city-scale,respectively.In addition to the net income per capita of rural households,other influencing factors of CLSR were different at the provincial-scale and the city-scale.The feedback factors were dominant at the provincial-scale,and the input factors and feedback factors were dominant at the city-scale.The results could provide a reference for the utilization of black soil and draw on the experience of regional agricultural planning and adjustment.

Trade-off and Synergy of Rural Functions Under County Depopulation in the Typical Black Soil Region of Northeast China

As the population continues to shrink in the black soil region of Northeast China since 2000,it is critical to master the impact of population shrinkage on rural functions to realize rural revitalization and sustainable development.In this study,we focused on the impacts of depopulation on the evolution and interrelationship of rural subfunctions.Based on the rural function indexes system,the TOPSIS(Technique for Order Preference by Similarity to an Ideal Solution)method,spatial analysis method,and mathematical statistics analysis method were used to summarize the spatial and temporal characteristics of rural function development,as well as the effect of population shrinkage in the typical black soil region of Northeast China.The results showed that depopulation varied in the extent and duration between the forested region and plain areas,which both impacted the trajectories of rural subfunctions evolution.For the economic development function and ecological conservation function,the effect of continuous slight depopulation was beneficial,while the effect of rapid depopulation was adverse,which was exactly opposite to the agricultural production function.All forms of population shrinkage were conducive to the development of the social security function.With the deepening population shrinkage,depopulation mainly promoted the collaborative development between subfunctions in this study,except the relationship between agricultural production and social security function.But effects of depopulation on the interrelationship of rural subfunctions varied between the forested region and plain areas in some cases.The results provided evidence for the cognition that population shrinkage had complicated effects on rural subfunctions.

Evaluation and Driving Force Analysis of Cultivated Land Quality in Black Soil Region of Northeast China

Cultivated land is an important natural resource to ensure food,ecological and economic security.The cultivated land quality evaluation(CQE)is greatly significant for protecting and managing cultivated land.In this study,320 counties in the black soil region of Northeast China(BSRNC)represent the research units used to construct the CQE system measuring the soil properties(SP),cultivated land productivity(CLP),ecological environment(EE)and social economy(SE).The total of 19 factors were selected to calculate the integrated fertility index(IFI)and divided into grades.Simultaneously,we used the coupling coordination degree model to comprehensively analyze the spatial pattern of the cultivated land quality(CLQ)in the BSRNC,and use the structural equation model(SEM)to analyze the driving mechanism.The results show the following:1)The CLQ of 262 counties in the BSRNC is in a state of coupling and coordination,and the coupling and coordination degree presents a spatial distribution pattern of‘high in the southwest and northeast,low in the northwest and southeast’.The coordinated development degree of 271 counties is between 0.4 and 0.6,which is in a transitional state between coordination and disorder.2)The CLQ in the BSRNC is generally good,with an average grade of 3.High-quality cultivated land accounts for 58.45%of all counties,middle-and upper-quality cultivated land accounts for 27.05%,and poor-quality cultivated land accounts for 14.49%.3)The SEM analysis shows that the SP,CLP,EE,and SE all influence the CLQ.Among them,the SP has the largest driving force on the CLQ,while the SE has the smallest driving force on it.The results confirm that the main factors affecting the evaluation results are crop productivity level,normalized difference vegetation index,ratio vegetation index,difference vegetation index,and organic carbon content.When implementing protection measures in counties with a low CLQ,considering a balanced coordination of multiple systems and reasonably controlling the quality degradation are important.This study provides the current situation and driving factors of the CLQ in the BSRNC and will play an important role in black soil governance and utilization.

Changes of spring wind erosion based on wind erosion climate factor in the black soil region of Northeast China

The dry and windy climate and low ground cover in spring in the black soil region of Northeast China make the soil strongly affected by wind erosion,which seriously threatens the food security and ecological security of this region.In this paper,based on the daily observation data of 124 meteorological stations in study area from 1961 to 2020,seasonal and monthly wind erosion climate factor(C)in spring(March to May)were calculated by using the method proposed by the Food and Agriculture Organization of the United Nations(FAO),the wind erosion characterization in spring were systematically analyzed based on C by various statistical analysis methods.The results showed that in the past 60 years,spring wind erosion climate factor(CSp)and monthly C of the whole region and each province(region)all showed highly significant decreasing trend,but they began to show rebounded trend in the middle or late 2000s.CSp of the study area showed a significant upward trend since 2008 with an increase of 4.59(10a)^(-1).The main contributors to this upward trend are the changes of C in March and in April.For the four provinces(regions),CSp in Heilongjiang,Jilin,Liaoning and eastern Inner Mongolia all showed rebounded since 2008,2011,2008 and 2009,respectively.The rebounded trend of CSp in eastern Inner Mongolia was the most obvious with a tendency rate of 11.27(10a)^(-1),and its mutation occurred after 1984.The rebound trend of CSp in Heilongjiang Province takes the second place,with a trend rate of 4.72(10a)^(-1),but there’s no obvious time mutation characteristics.The spatial characteristics of CSpand monthly C are similar,showing decreasing characteristics centered on the typical black soil belt of Northeast China.Compared with 1961-1990,in the period from 1991 to 2020,the proportion of high value areas(CSp>35,monthly C>10)has decreased to varying degrees,while the proportion of low value areas(CSp≤10,monthly C≤4)has increased.The trends of seasonal and monthly C in 82.2%~87.7%of the stations show significant decreases at 95%confidence level.CSp is closely related to wind speed at 2m height,temperature difference,minimum temperature and precipitation in the same period,of which the correlation between CSp and wind speed is the strongest,indicating that the main control factor for CSp in the study area is wind speed,but the impact of the change of temperature and precipitation on CSp cannot be ignored.

Change of cultivated land area and effect on ecosystem service in black soil region in Northeast China: a case study of Lishu County, Jilin Province

It is of great significance to study the influence of spatial pattern change of cultivated land on eco-system service,including the sustainable utilization and ecological protection in black soil region in Northeast China.Taking Lishu County of Jilin Province as the study area,we quantitatively evaluated soil conservation,habitat quality,carbon storage and grain production service,and analyzed the change of cultivated land and ecosystem service pattern in Lishu County from 1990 to 2020 by using Pearson correlation analysis on the correlation between cultivated land change and ecosystem service.The results show that:(1)The cultivated land area of Lishu County was reduced by 19.67 km2,the characteristics of cultivated land change are signifi-cant;(2)the overall change rate of carbon storage,habitat quality,soil conservation and grain production ser-vice in the study area was 10.82%,-0.09%,4.07%and 1.80%,respectively.They all had significant spatial differentiation features;(3)the change of habitat quality,grain production service showed a significant pos-itive correlation with the change of cultivated land area.The change in soil conservation and carbon storage were negatively related to cultivated land area.In order to promote the rational development and utilization of cultivated land in the research area,it is suggested to scientifically carry out the comprehensive utilization of cultivated land reserve resources such as saline-alkali land,strengthen the management and protection of newly added cultivated land at the same time.The results can provide scientific reference for formulating comprehensive land use planning under ecological security conditions.

Soil erosion along a long slope in the gentle hilly areas of black soil region in Northeast China

Characteristics of soil erosion change along a long slope in the gentle hilly areas in black soil region in Northeast China are discussed. A simplified slope model based on segments was used to analyze the runoff data and soil erosion data observed between 2003 and 2004 over 10 field plots with different slope length in Heshan Farm, Heilongjiang Province. We found that soil erosion rate over long slopes in the black soil region changed alternatively along the slope and creates alternative zones of intensive erosion and week erosion.The exact place of each zone is different for different rainfall conditions. In a year with less and mild precipitation, rill cannot happen within the top 50 m, while in a year with large and intensive precipitation, rill can be formed starting even at 15 m from the top of the slope.

Study on the Method of Soil Productivity Assessment in Black Soil Region of Northeast China

The objective of this paper is to investigate a simple and practical method for soil productivity assessment in the black soil region of Northeast China. Firstly, eight kinds of physicochemical properties for each of 120 soil samples collected from 25 black soil profiles were analyzed using cluster and correlation analysis. Subsequently, parameter indices were calculated using physicochemical properties. Finally, a modified productivity index （MPI） model were developed and validated. The results showed that the suitable parameters for soil productivity assessment in black soil region of Northeast China were soil available water, soil pH, clay content, and organic matter content. Compared with original productivity index （PI） model, MPI model added clay content and organic matter content in parameters while omitted bulk density. Simulation results of original PI model and MPI model were compared using crop yield of land block where investigated soil profiles were located. MPI model was proven to perform better with a higher significant correlation with maize yield. The correlation equation between MPI and yield was： Y= 3.2002Ln（MP/）＋ 10.056, R^2 = 0.7564. The results showed that MPI model was an effective and practical method to assess soil productivity in the research area.

Effect of farmland shelterbelts on gully erosion in the black soil region of Northeast China

The black soil region of northeast China is one of the most important grain-producing areas in China. Increasingly severe gully erosion in this region has destroyed much farmland and reduced grain production. We analyzed SPOT5 imagery from 2007 and TM imagery from 2008 to describe the distributions of gullies and farmland shelterbelts in Kedong County and to assess the effect of farmland shelterbelts on gully erosion. The ima- gery revealed 2311 gullies with average density of 418.51 m km-2, indicating very serious gully erosion. With increasing slope gradient there was an inverse trend between gully density and shelterbelt density, indicating that farmland shelterbelts can prevent gully erosion. The defense effect of farmland shelterbelts against gullyerosion varied with distance： for distances 〈120 m, the defense effect was consistent and very strong; for distances of 120-240 m, a weak linear decrease was found in the defense effect; and for distances 〉240 m, the defense effect of the shelterbelts was significantly weaker. We recommend an optimal planting density of farmland shel- terbelts for the prevention of gully erosion at 1100-1300 m km-2.

Gully Erosion Regionalization of Black Soil Area in Northeastern China

Gully erosion is the frequent and main form of soil erosion in the black soil area of the northeastern China, which is one of the most important commodity grain production bases in China. It is encroaching upon the fertile farmland there. Regionalization of gully erosion can reveal the spatial distribution and regularity of the development of gully erosion. Based on the eco-geographical regional background features of the black soil area, this study combined the regionalization with influencing factors of the development of gully erosion. GIS spatial analysis, geostatistical analysis, spatial statistics, reclassification, debris polygon processing and map algebra methods were employed. As a result, the black soil area was divided into 12 subregions. The field survey data on type, length, volume and other characteristics indicators of gully erosion were used to calibrate the results. Then the features of every subregion, such as where the gully erosion is, how serious it is, and why it happens and develops, were expounded. The result is not only an essential prerequisite for gully erosion surveys and monitoring, but also an important basis for gully erosion prevention.

Integrated Prevention and Control System for Soil Erosion in Typical Black Soil Region of Northeast China

The black soil region of Northeast China is one of the most important food production bases and commodity grain bases in China. However, the continual loss and degradation of precious black soil resources has led to direct threats to national food security and regional sustainable development. Therefore, it is necessary to summarize integrated prevention and control experience of small watersheds in black soil region of Northeast China. Tongshuang small watershed, a typical watershed in rolling hills of typical black soil areas in Northeast China, is selected as the study area. Based on nearly 50 years' experience in prevention and control of soil and water loss, the structures and overall benefits of an integrated prevention and control system for soil and water loss are investigated. Then, the 'three defense lines' tri-dimensional protection system with reasonable allocation of different types of soil and water control measures from the hill top to gully is systematically analyzed. The first line on the top hill can weaken and block uphill runoff and sediment, hold water resources and improve soil property. The second line on the hill can truncate slope length, slow down the runoff velocity and reduce erosion energy. The third line in the gully is mainly composed of waterfall engineering, which can inhibit soil erosion and restore land resources. The 'three defense lines' system is feasible for soil and water loss control of small watersheds in the typical black soil region of Northeast China. Through the application of the in Tongshuang small watershed, There are effective improvements in ecological conditions in Tongshuang small watershed after the application of 'three defense lines' soil and water control system. Moreover, the integrated treatment paradigm for soil and water loss in typical black soil region is compared with that in loess region. The results of this study could offer references and experiences for other small watersheds in typical black soil region of Northeast China.

Temporal and Spatial Variation Characteristics of Soil Organic Carbon Content in Cultivated Land of Black Soil Region in Liaoning Province

[Objectives]To study the temporal and spatial variation of SOC content in cultivated land in black soil region in Liaoning Province.[Methods]Through the evaluation and analysis of the research data of this project and the data of the second national soil census,and using GIS technology,this paper studied the temporal and spatial variation characteristics of SOC in the black soil region of Liaoning Province,and provided a basis for improving cultivated land carbon storage and soil organic matter content.[Results]Since 1980,the SOC content in cultivated land in the black soil region in Liaoning Province has generally declined,and the spatial distribution difference has gradually decreased.From 1980 to 2018,the homogeneity of SOC distribution weakened,and the variation in a small range strengthened.The SOC content generally showed the characteristics of increase and decrease,and the changes in the area were scattered.[Conclusions]This study is of great significance to the sustainable utilization of land resources.

典型黑土区不同保护性耕作方式对玉米生长发育及产量形成的影响

实施保护性耕作对保护东北黑土和保障国家粮食安全具有重要意义。为明确东北典型黑土区保护性耕作对玉米产量的影响及其关键因素,开展了连续3年大田定位试验,设常规垄作秸秆不还田(CK)、免耕秸秆全量粉碎覆盖(T1)、免耕留高茬全量秸秆覆盖(T2)、少耕秸秆全量条带覆盖(T3)共4个处理,分析了不同处理对土壤理化特性及玉米生长发育、产量及其构成因素的影响。结果表明,与CK相比,保护性耕作处理(T1、T2和T3)0~20 cm耕层土壤有机质含量呈增加趋势;保护性耕作显著提高了播种至出苗期耕层土壤含水量,T1、T2和T3处理分别提高7.8%~30.4%、9.0%~18.7%和17.3%~20.0%,但显著降低土壤温度,分别降低2.56~3.11℃、2.02~2.27℃、0.94~1.93℃;分别延迟玉米出苗时间5~7 d、4~6 d和2 d;T3处理3年平均出苗率较CK增加3.2%,T1和T2处理出苗率分别降低4.3%和4.7%;T1、T2和T3处理均降低了苗期株高整齐度和植株干物质积累,但T3处理降低幅度明显小于T1和T2处理,6叶期之后干物质积累降低幅度逐渐减小;T1和T2处理显著降低玉米产量,降幅分别为7.5%~15.6%和5.5%~12.9%,T3处理产量与CK差异不显著。结构方程模型(SEM)揭示,保护性耕作通过调节土壤含水量和温度,间接影响玉米出苗时间、出苗率、穗数和百粒重,进而影响产量,也可通过直接影响出苗质量和产量构成因素进而影响产量。在东北典型黑土区,少耕秸秆全量条带覆盖(T3)不仅有利于提高土壤有机质含量,而且还有利于平衡土壤水分和温度矛盾,缩短出苗时间、提高出苗质量、高产稳产,是该区域适宜的保护性耕作方式。

玉米秸秆堆腐还田对黑土区土壤性状的影响

本研究针对东北地区秋冬季节气候寒冷特点和秸秆堆腐还田的实际操作需求,开展秸秆堆腐还田试验。在秋季玉米收获之后进行田间堆腐试验,期间连续监测环境温度、降水、秸秆堆温度、秸秆失重率等指标。离田玉米秸秆经过腐熟后作为肥料还田,连续施用3年,检测土壤有机质、碱解氮、速效磷、速效钾、土壤孔隙度、土壤容重等指标。在基本农田和棚室保护地进行为期2年的应用试验。结果表明:120 d秸秆失重率达到31.53%。施用腐熟秸秆3年,土壤有机质提高了4.06~6.31 g/kg、土壤中碱解氮提高了15.08~27.35 mg/kg、速效磷提高了18.11~21.95 mg/kg、速效钾提高63.97~89.93 mg/kg;土壤容重降低了0.10~0.14 g/cm^(3)、土壤田间持水量提高了7.51%~9.24%(V/V)、土壤孔隙度提高了3.69%~5.27%(V/V),且差异显著(P≤0.05)。基本农田和棚室保护地应用试验中,速效养分与有机质有所增长,土壤容重与田间持水量变化显著。逐年施用腐熟秸秆对于提高土壤有机质含量、速效养分具有显著作用。同时,施用腐熟秸秆能够降低土壤容重,提高土壤孔隙度与田间持水量,改善土壤板结问题。腐熟秸秆在改良与保育黑土性质方面具有良好的作用。

东北半干旱黑土区玉米秸秆还田方式对土壤水溶性有机碳含量及其组分的影响

为明确不同秸秆还田方式下土壤有机碳组分的变化特征,基于6 a秸秆还田长期定位试验,利用三维荧光光谱技术,对无秸秆还田(CK)、秸秆覆盖还田(FG)、秸秆翻埋还田(FM)处理下土壤有机碳(SOC)含量及水溶性有机碳(WSOC)含量及其结构特征进行分析。结果表明:(1)与CK相比,FM处理0~40 cm土层SOC含量提高7.87%~29.54%,FG处理0~30 cm土层SOC含量增加1.91%~18.61%,30~40 cm土层SOC含量降低7.67%;FM和FG处理0~40 cm土层土壤WSOC含量分别提升13.42%~39.42%和0.28%~26.34%。(2)通过WSOC三维荧光光谱发现,各土层CK(Ex/Em=300/34、Ex/Em=300/340、Ex/Em=240/340、Ex/Em=300/340)处理WSOC荧光特征峰为溶解性微生物代谢产物和类色氨酸蛋白质物质荧光峰;FM(Ex/Em=340/430、Ex/Em=340/430、Ex/Em=340/435、Ex/Em=340/435)和FG(Ex/Em=270/440、Ex/Em=270/435、Ex/Em=340/435、Ex/Em=340/430)处理为类腐殖酸类物质荧光特征峰,腐殖化程度较高,结构较为复杂;荧光区域积分表明,FM和FG处理类腐殖酸类物质(Ⅴ)和富里酸类物质(Ⅲ)的积分百分比分别较CK增加12.18%~27.39%、11.98%~30.72%和3.96%~5.73%、2.99%~5.40%。(3)土壤WSOC包含两个组分,C1(Ex/Em=340/435,270/435)组分为类腐殖酸类物质,C2(Ex/Em=290/345,240/345)组分为溶解性微生物代谢产物和类色氨酸蛋白质物质;F max值结果表明,0~40 cm土层的C1组分相对含量表现为FM>FG>CK,表明秸秆翻埋还田更有助于土壤中营养物质含量增加和形成更高分子量的有机物。综上,不同秸秆还田方式均可提升SOC和土壤WSOC含量,增加腐殖化程度,加强土壤的供肥能力,翻埋还田处理提升作用更为显著。

东北黑土区部分地域除草剂在不同作物类型土壤中残留及分布特征

为了解并掌握东北部分黑土区农田土壤除草剂残留情况,本研究调查了东北黑土区6个地区170份土壤样本,共检出17种除草剂。总体来看,乙草胺检出率最高,为74.7%,氟磺胺草醚平均残留量最高,为198.88μg·kg^(-1)。从省份来看,辽宁省除草剂检出种类最为丰富,黑龙江省除草剂残留量最高。其中,铁岭市、阜新市与长春市、四平市旱田除草剂残留情况更为相似,绥化市土壤除草剂残留情况与前者差异较大。从作物类型来看,水稻田土壤除草剂检出种类更多,旱田作物除草剂残留量更高。其中,水稻田共检出11种类型除草剂,氟磺胺草醚在玉米田和大豆田中的平均残留量分别高达68.77μg·kg^(-1)和409.30μg·kg^(-1)。研究表明,地理位置和作物类型是影响土壤除草剂残留的重要因素。

东北黑土地区稻田甲烷排放时空演变及排放潜力分析

稻田甲烷排放是农业源甲烷排放的主要来源。东北黑土地区是我国最大的粮食生产基地,农业温室气体减排是实现黑土地永续利用的关键议题之一。运用稻田甲烷排放模型(CH4MOD)核算并分析了2009—2018年东北黑土地区稻田甲烷排放的时空演变特征,结合GOSAT卫星遥感数据探究了水稻生产与区域甲烷排放的时空动态联系,进一步量化了稻田甲烷对区域甲烷排放的贡献程度及不同情景下的排放潜力。结果表明,受水稻生产面积扩张和排放强度提高的影响,东北黑土地区稻田甲烷排放总量从2009年的39.05万t增加到2018年的79.53万t。东北黑土地区区域甲烷排放在季节变化和栅格单元上表现出与稻田甲烷排放较为一致的时空动态,大规模的稻田耕作可能会增加水稻生产与区域甲烷排放直接相关的可能性。随着水稻持续扩种稳产,2018年东北黑土地区水稻生产贡献了区域甲烷排放总量的15.04%,其中黑龙江省的贡献率高达31.06%。在基准发展情景下,预计2035年东北黑土地区稻田CH_4排放量较2018年增加19.5%;在粮食供给保障情景下,维持当前稻田耕作面积,水稻生产集约化程度提高,预计其稻田CH_4排放量较2018年减少0.88%;在此基础上,采取促进秸秆还田、增施有机肥、实施节水间歇灌溉等稻田管理措施将使稻田CH_4排放量增加17.8%—63.6%。以满足膳食需求和供给保障为导向,优化水稻种植结构、控制稻田耕作面积,推动技术进步、品种改良以提升单产水平,采取化肥和有机肥搭配施用、节水间歇灌溉等途径能够缓解稻田甲烷排放。研究综合运用自上而下的遥感数据和自下而上的模型运算,刻画了水稻生产与区域甲烷排放的时空联系,进一步评估了稻田甲烷的排放潜力及减排措施的减排效果,为促进东北黑土地区农业甲烷减排和生产布局优化提供了理论依据和决策参考。

不同耕作方式对东北旱地土壤养分和生物学性质的影响

为提高黑土区土壤质量和作物产量,并促进区域农业可持续发展,进行了4年田间定位试验,设置了深松、免耕以及传统耕作3种耕作方式,研究了不同耕作方式对土壤速效养分、土壤微生物数量以及土壤酶活性的影响。结果表明,与传统耕作相比,深松能够显著提高上层土壤(0~20 cm)碱解氮、有效磷以及速效钾含量(分别提高23.6%、49.6%和63.3%),同时,显著提高了下层土壤(20~40 cm)有效磷含量(86.2%);深松处理上层土壤pH显著提高,下层土壤各处理间pH变化较小;深松和免耕能够显著增加上层土壤细菌和真菌的数量,深松显著增加放线菌数量;下层土壤各处理间微生物数量差别较小,表现为深松>免耕>传统耕作;深松处理上层土壤蔗糖酶和过氧化氢酶活性最高,免耕增加了土壤脲酶和磷酸酶活性;除过氧化氢酶外,其他3种酶活性均为上层土壤高于下层。深松和免耕处理能增加土壤速效养分含量、微生物数量及酶活性,有助于改善土壤化学和生物学性状,进而提高土壤质量,其中,深松方式效果最为显著,对于培肥土壤和维护土壤生物的生存环境等方面具有重要作用。

基于高分七号影像自动提取东北黑土区侵蚀沟的方法

东北黑土区沟蚀严重且分布面积广,目前对其进行监测大多基于目视解译,自动化程度低,急需一种快速提取方法。本文选取沟蚀严重的黑龙江省宾县马蛇子河流域,基于高分七号影像,以目视解译结果为参照,比较流向边缘检测、机器学习、深度学习3种方法自动提取侵蚀沟的精度。结果表明:①流向边缘检测方法依赖高精度地形数据,高分七号立体像对生成的地形数据垂直精度低,侵蚀沟整体提取精度仅为6.7%,无法用于切沟和浅沟的自动提取;②机器学习方法需要人为设置分割参数并设计分类特征,自动化程度较低,侵蚀沟整体提取精度可达50.7%,对切沟识别精度可达83.1%,但对浅沟识别精度仅为9.2%;③深度学习方法采用端对端的模式,无须人为设计特征提取器,自动化程度高,整体提取精度可达60.8%,对切沟识别精度可达68.1%,对浅沟识别精度可达69.7%。

黑土区坡耕地水土保持耕作措施对土壤理化性状的影响

为探寻黑土区坡耕地不同水土保持耕作措施对土壤理化性状的影响机理,开展了田间小区试验。设置横坡耕作(TP)、垄向区田(RF)、深松(SF)、横坡耕作+垄向区田(TP-R)、横坡耕作+深松(TP-S)、垄向区田+深松(RF-S)3种水土保持耕作措施及3种组合耕作措施,并以常规顺坡耕作(CK)为对照,分析了土壤孔隙度、土壤机械组成、水稳性土壤团聚体稳定性、土壤养分含量等指标,并采用TOPSIS模型对不同水土保持耕作措施进行了综合评价,筛选了土壤稳定性强且蓄水保肥效果良好的水土保持耕作措施。结果表明:在玉米的全生育期内,深松、垄向区田、横坡耕作均能提高土壤体积含水率。TP-S处理体积含水率最大,0~40 cm土层平均体积含水率较CK处理增加29.47%;RF-S处理平均孔隙度最大,TP-S处理次之,平均孔隙度较CK处理分别增大10.68%、9.25%;TP-S处理能够显著提高土壤稳定性,其中平均质量直径(MWD)、几何平均直径(GMD)和大团聚体含量(R0.25)较CK处理分别增加12.30%、19.57%、13.97%;TP-S处理能够改善土壤机械组成,TP-S处理粗砂粒、粉粒、黏粒含量较CK处理增加15.40%、26.89%、1.90%,细砂粒含量较CK处理降低31.56%;TP-S处理IN(无机态氮)、AP(有效磷)、AK(速效钾)含量最高,较CK处理IN、AP、AK含量分别增加42.81%~55.32%、39.69%~40.68%、20.41%~25.45%。由TOPSIS模型综合评价结果可知,TP-S处理贴合度最高,土壤结构更稳定,且蓄水保肥效果更好,为适宜该地区的水土保持耕作措施。

不同树种水土保持林对黑土区坡面土壤氮的保持作用

【目的】探究黑土区不同树种水土保持林对坡面土壤氮的保持作用,为黑土坡面养分流失防控措施选择提供参考。【方法】在黑龙江省西北部的克山农场内,选择坡度、坡向、坡长和林龄基本一致的杨树水土保持林、樟子松水土保持林和耕地坡面为试验区,在3个试验区内沿顺坡向从坡顶至坡底分别布设1条距离为315、319和323 m的样线,每条样线上以坡顶为起点,距离为30 m等间距设置10个样点。每个样点分别采集0~15 cm和15~30 cm土壤样品,用于土壤物理特征、全氮、铵态氮、硝态氮和颗粒态有机氮的测定,以耕地为对照,分析不同树种水土保持林对黑土坡面土壤氮的保持作用。【结果】(1)水土保持林的土壤物理特征指标优于耕地。(2)杨树水土保持林土壤全氮含量(1.28~2.54 g/kg)高于樟子松水土保持林和耕地的全氮含量,樟子松水土保持林土壤全氮含量(1.04~1.92 g/kg)高于耕地含量(0.62~1.63 g/kg);铵态氮、颗粒态有机氮在3个试验区土壤内分布情况和全氮一致,皆表现为杨树水土保持林含量最高,耕地含量最低。【结论】两种水土保持林0~15 cm土层土壤氮含量高于15~30 cm土层土壤氮含量,两种水土保持林的土壤氮含量高于耕地的氮含量,杨树水土保持林土壤氮含量高于樟子松水土保持林土壤氮含量,且杨树水土保持林对黑土区坡面土壤氮的保持作用优于樟子松水土保持林。从土壤氮保持角度来讲,在杨树和樟子松两种水土保持树种上应优先考虑杨树。