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.

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.

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.

Using ^(137)Cs Tracer Technique to Evaluate Erosion and Deposition of Black Soil in Northeast China

Soil and water losses through erosion have been serious in the black soil region of Northeast China. Therefore, a sloping cultivated land in Songnen Plain was selected as a case study to: 1) determine the 137Cs reference inventory in the study area; 2) calculate erosion and deposition rates of black soil on different slope locations; 3) conduct a sensitivity analysis of some model parameters; and 4) compare overall outputs using four different models. Three transects were set in the field with five slope locations for each transect, including summit, shoulder-slope, back-slope, foot-slope, and toe-slope. Field measurements and model simulation were used to estimate a bomb-derived 137Cs reference inventory in the study area. Soil erosion and deposition rates were estimated using four 137Cs models and percentage of 137Cs loss/gain. The 137Cs reference value in the study area was 2 232.8 Bq m-2 with 137Cs showing a clear topographic pattern, decreasing from the summit to shoulder-slope, then increasing again at the foot-slope and reaching a maximum at the toe-slope. Predicted soil redistribution rates for different slope locations varied. Among models, the Yang Model (YANG-M) overestimated erosion loss but underestimated deposition. However, the standard mass balance model (MBM1) gave predictions similar to a mass balance model incorporating soil movement by tillage (MBM2). Sensitivity analysis of the proportion factor 7 and distribution pattern of 137Cs in the surface layer demonstrated the impact of 137Cs enrichment on calculation of the soil erosion rate. Factors influencing the redistribution of fallout 137Cs in landscape should be fully considered as calculating soil redistribution rate using 137Cs technique.

Effects of Tillage Management on Infiltration and Preferential Flow in a Black Soil, Northeast China

The impacts of no-tillage (NT) and moldboard plough (MP) managements on infiltration rate and preferential flow were characterized using a combined technique of double-ring device and dye tracer on a black soil (Mollisols) in Northeast China. The objective of this study is to evaluate how tillage practices enhance soil water infiltration and preferential flow in favor of soil erosion control in the study area. The steady infiltration rates under NT management are 1.6 and 2.1 times as high as those under MP management in the 6th and 8th years of the tillage management in place, while the infiltrated water amounts under NT management are 1.4 and 2.0 times as high as those under MP management, respectively. The depth of methylene blue penetrated into NT soil increases from 43cm in the 6th year to 57cm in the 8th year, which are 16cm and 19cm deeper than those in MP soil, respectively. The results of morphologic image show that more biological macro-pores occur in NT soil than in MP soil. These macro-pores play a key role in enhancing preferential flow in NT soil, which in turn promotes water infiltration through preferential pathways in NT soil. The results are helpful to policy-making in popularizing NT and have the implications for tillage management in regard to soil erosion control in black soil region of China.

Using CropSyst to Simulate Spring Wheat Growth in Black Soil Zone of Northeast China

Available water and fertilizer have been the main limiting factors for yields of spring wheat, which occupies a large area of the black soil zone in northeast China; thus, the need to set up appropriate models for scenario analysis of cropping system models has been increasing. The capability of CropSyst, a cropping system simulation model, to simulate spring wheat growth of a widely grown spring cultivar, 'Longmai 19', in the black soil zone in northeast China under different water and nitrogen regimes was evaluated. Field data collected from a rotation experiment of three growing seasons (1992-1994) were used to calibrate and validate the model. The model was run for 3 years by providing initial conditions at the beginning of the rotation without reinitializing the model in later years in the rotation sequence. Crop input parameters were set based on measured data or taken from CropSyst manual. A few cultivar-specific parameters were adjusted within a reasonable range of fluctuation. The results demonstrated the robustness of CropSyst for simulating evapotranspiration, aboveground biomass, and grain yield of 'Longmai 19' spring wheat with the root mean square errors being 7%, 13% and 13% of the observed means for evapotranspiration (ET), grain yield and aboveground biomass, respectively. Although CropSyst was able to simulate spring production reasonably well, further evaluation and improvement of the model with a more detailed field database was desirable for agricultural systems in northeast China.

Dynamics of soil organic carbon following land-use change:insights from stable C-isotope analysis in black soil of Northeast China

Intensive soil tillage is a significant factor in soil organic matter decline in cultivated soils. Both cultivation abandonment and foregoing tillage have been encouraged in the past 30 years to reduce greenhouse gas emissions and soil erosion. However, the dynamic processes of soil organic carbon (SOC) in areas of either continuous cultivation or abandonment remain unclear and inconsistent.Our aims were to assess and model the dynamic processes of SOC under continuous tillage and after cultivation abandonment in the black soil of Northeast China. Soil profiles were collected of cultivated or abandoned land with cultivation history of 0–100 years. An isotope mass balance equation was used to calculate the proportion of SOC derived from corn debris (C_4) and from natural vegetation (C_3) to deduce the dynamic process. Approximately 40% of SOC in the natural surface soil (0–10 cm) was eroded in the first 5 years of cultivation, increasing to about 75% within 40 years, before a slow recovery. C_4 above 30 cm soil depth increased by 4.5%–5% or 0.11–0.12 g·kg^(-1) on average per year under continuous cultivation, while it decreased by approximately 0.34% annually in the surface soil after cultivation abandonment.The increase in the percentage of C_4 was fitted to a linear equation with given intercepts in the upper 30 cm of soil in cultivated land. A significant relationship between the change of C_4 and time was found only in the surface soil after abandonment of cultivation. These results demonstrate the loss and accumulation of corn-derived SOC in surface black soil of Northeast China under continuous tillage or cultivation abandonment.

Temporal and Spatial Change of Soil Organic Matter and pH in Cultivated Land of the Songliao Plain in Northeast China during the Past 35 Years

Soil organic matter(SOM)and pH are not only an important part of soil fertility,but also a source of nutrients for plants and an energy source for the life activities of soil microorganisms(Huang,2000).Moreover,soil organic matter(SOM)has a great impact on soil properties and can improve soil fertility and buffering performance.

Erosion effect on the productivity of black soil in Northeast China

Continuous soil erosion has caused serious land degradation in the black soil area of Northeast China. The primary objective of this study was to determine the effects of accelerated erosion on soil productivity, as measured by soybean (Glycine max L. Merr.) yields. Eight erosion levels, 0, 10, 20, 30, 40, 50, 60, and 70 cm, were simulated by imitating the integrated process of natural erosion and tillage activity. Each erosion level had two sub-treatments: conventional fertilization and no fertilization. Soil erosion was found to affect survival probability and to cause remarkable reductions in the Leaf Area Index (LAI), plant height, pod number, biomass, and yield. Soybean yield was exponentially decreased with the increase of soil erosion depth. Compared to erosion depth of 0 cm, erosion levels of 10, 20, 30, 40, 50, 60, and 70 cm experienced reductions in soybean yield by 28.8%, 37.8%, 43.5%, 52.6%, 53.1%, 52.9%, and 64.1% respectively when fertilized whereas the reductions at those levels were 32.6%, 42.2%, 53.0%, 54.0%, 65.8%, 69.7%, and 72.6%, respectively, when unfertilized. At the erosion depths of 10, 20, 30, 40, 50, 60, and 70 cm, the yield reductions per 10 cm of soil eroded when fertilized were 28.8%, 18.9%, 14.5%, 13.2%, 10.6%, 8.8%, and 9.2%, averaged 14.9%, but when unfertilized they were 32.6%, 21.1%, 17.7%, 13.5%, 13.2%, 11.6%, and 10.4%, averaged 17.1%. The results also showed that chemical fertili zers could enhance the yields of eroded soil, but could not recover the yields to the pre-erosion level. Additionally, the results indicated that the primary reason for the decrease in soybean yield with increasing erosion depth was the loss of soil organic matter, soil N and P. These results may aid in selecting effective soil erosion control strategy, forecasting land degradation, establishing soil erosion tolerance, and evaluating the economic cost of soil erosion in the black soil region in Northeast China.

Assessing soil thickness in a black soil watershed in northeast China using random forest and field observations

Soil thickness determines the soil productivity in the black soil region of northeast China,which is important for national food security.Existing information on the spatial variation of black soil thickness is inadequate.In this paper,we propose a model framework for spatial estimation of the black soil thickness at the watershed scale by integrating field observations,unmanned aerial vehicle variations of topography,and satellite variations of vegetation with the aid of random forest.We sampled 141 sample profiles over a watershed and identified the black soil thickness based on indices of the mollic epipedon.Topographic variables were derived from a digital elevation model and vegetation variables were derived from Landsat 8 imagery.Random forest was used to determine the relationship between black soil thickness and environmental variables.The resulting model explained 61%of the black soil thickness spatial variation,which was more than twice that of traditional interpolation methods(ordinary kriging,universal kriging and inverse distance weighting).Topographic variables contributed the most toward explaining the thickness,followed by vegetation indices.The black soil thickness over the watershed had a clear catenary soil pattern,with thickest black soil in the low depositional areas and thinnest at the higher elevations that drain into the low areas.The proposed model framework will improve estimates of soil thickness in the region of our study.

Soil loss tolerance in the black soil region of Northeast China

Soil loss tolerance （/） is the maximum rate of annual soil erosion that is tolerated and still allows a high level of crop productivity to be sustained economically and indefinitely. In the black soil region of Northeast China, an empirically determined, default Tvalue of 200 （t/km2.a） is used for designing land restoration strategies for different types of soils. The ob- jective of this study was to provide a methodology to calculate a quantitative T for different black soil species. A field investigation was conducted to determine the typical soil profiles of 21 black soil species in the study area and a quantitative methodology based on a modified soil productivity index model was established to calculate the Tvalues. These values, which varied from 68 t/km2.a to 358 t/km2-a, yielded an average Tvalue of 141 t/km2.a for the 21 soil species. This is 29.5% lower than the current national standard T value. Two significant factors that influenced the T value were soil thickness and vulnerability to erosion. An acceptable reduction rate of soil productivity over a planned time period of 1% is recommended as necessary for maintaining long-term sustainable soil productivity. Compared with the cur- rently used of regional unified standard T value, the proposed method, which determines T using specific soil profile indices, has more practical implications for effective, sustainable management of soil and water conservation.

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。

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。

“双碳”目标下东北黑土区耕地利用生态效率时空格局与演变趋势

[目的]探究东北黑土区耕地利用生态效率的时空格局和演变趋势,将碳源与碳汇融入耕地利用过程,这对于实现黑土减排增效和“双碳”目标至关重要。[方法]基于超效率SBM模型、核密度估计、探索性空间数据分析和空间插值工具等方法,系统考察了2006—2020年东北黑土区耕地利用生态效率的时空特征与演进规律。[结果]黑土区耕地利用生态效率历经波动上升、显著下降和迅速回升3个阶段,总体处于较高发展水平,北部边缘城市的效率值明显高于中南部地区,基期和末期区间两极分化局势尤为显著,整体发展严重失衡;黑土区耕地利用生态效率全局空间相关特性并不明显,大致呈现“边缘—中心”空间扩散格局,由南北两端高值集聚向内及四周递减,而后形成多个块状高值区和低值分布带,规模集聚优势未能得到充分发挥;多数城市均存在不同程度的投入与产出冗余,劳动力和化肥冗余问题较为严重,碳排放冗余是造成黑土区耕地利用生态效率损失的普遍因素。[结论]优化要素配置和污染减排治理成为黑土利用重点改善方向,也是提升黑土区耕地利用生态效率的关键路径。

黑土区保护性耕作土壤有机碳动态的模型模拟研究

【目的】保护性耕作是恢复和提高土壤肥力的重要措施,土壤有机碳在保持土壤肥力、维持作物生长与保护土壤环境方面具有非常重要的作用。然而,目前国内仍然缺少研究长期耕作的监测平台,因此采用模型的方法有助于研究长期保护性耕作下土壤有机碳的动态。【方法】依托东北黑土地保护性耕作长期定位试验地,选取免耕(NT)、秋翻(MP)、垄作(RT)3种处理下的土壤为研究对象,优化过程模型(RothC、AMG模型)与统计模型(MLPNN模型)的结构与参数,对比模拟长期保护性耕作下土壤有机碳储量的动态变化,评估不同模型对保护性耕作土壤有机碳动态模拟与预测的效果,并揭示东北黑土有机碳对保护性耕作的长期响应及其影响因素。【结果】优化有机碳在模型中各碳库的分配系数后,RothC与AMG模型模拟误差显著降低。保护性耕作实施的前11年(2001—2012),RothC与AMG过程模型对土壤有机碳的动态变化模拟效果没有显著差异,说明过程模型复杂的结构对持续时间相对较短的试验模拟效果没有显著影响,统计模型MLPNN的模拟结果与过程模型相似,验证了统计模型在田块与样地等小空间尺度内的应用效果。未来100年RothC与AMG模型预测的MP处理土壤有机碳变化趋势相同,但RothC模型预测结果得出,NT与RT处理土壤有机碳表现出先增长后达到平衡的趋势,但AMG模型模拟的结果却是有机碳一直处于增长趋势,这可能与土壤碳饱和效应与耕作处理的影响有关。RothC与AMG模型对碳投入都具有很高的灵敏度,但对气候因素与土壤因素变化的响应却存在差异。【结论】模型模拟长期保护性耕作土壤有机碳动态时需要因地制宜选择合适的预测模型。在预测保护性耕作土壤有机碳的短期变化时可以采用结构较为简单的AMG过程模型;在进行长期预测时,可以采用结构较为复杂的RothC模型。在特定条件下,统计模型MLPNN在田块与样地等小空间尺度上对土壤有机碳的模拟与过程模型具有相近的效果。

外源有机物料性质对黑土农田土壤微生物碳组分的影响

【目的】探索在不同性质和用量的有机物料输入后黑土农田微生物碳组分的变化规律及其对土壤有机碳的贡献,明确东北黑土农田固碳的微生物过程,为黑土培肥和可持续发展提供理论支持。【方法】采用室内培养方法,供试黑土采自黑龙江省克山试验站的典型黑土农田,供试有机物料包括玉米秸秆(S)、生物炭(B)、水溶性有机肥(D),各有机物料均设3个施用量水平(低量、中量和高量),并以施化肥(F)和不施肥(CK)为对照,共计11个处理。在培养开始后的第5、15、30、60、105天分别采样,测定土壤有机碳(SOC)含量、微生物生物量碳(MBC)含量、细菌生物量(Ba)、真菌生物量(Fu)和微生物残体碳(MRC)含量。细菌与真菌生物量以其特征磷脂脂肪酸含量表征,微生物残体碳由不同土壤氨基糖含量表征的细菌与真菌残体量转换计算。【结果】与CK和F处理相比,3类有机物料输入均增加了土壤SOC、MBC和MRC含量,提升了MRC对SOC的贡献(MRC/SOC)。土壤MBC和MRC含量随秸秆和生物炭施用量的增加而提升,随水溶性有机肥施用量的增加而下降。在105天培养期内,所有处理MBC、MRC峰值均出现在培养第30、60天,3个有机物料分别以S3、B3和D1的提升效果最大。与CK相比,培养105天时S3、B3和D1处理的MBC分别提高了39.1%、8.2%和28.9%,真菌残体碳(FRC)含量分别提高了47.9%、43.5%和58.1%,S3和D1处理的细菌残体碳(BRC)含量分别提高了18.5%和16.5%。9个有机物料C/N和全氮(TN)含量与微生物碳组分的回归分析发现,有机物料C/N低于29.89、28.57时,分别与培养105天的MBC和BRC呈正相关关系,高于该阈值时呈负相关关系(P<0.05);有机物料TN含量低于0.18、0.11 g/kg时,分别与MBC和FRC呈正相关关系(P<0.05),超过该阈值时呈负相关关系(P<0.05),而BRC始终与有机物料TN含量呈正相关关系(P<0.05)。在9个有机物料处理中,MBC占SOC的比例为3.8%~9.4%,MRC占SOC的比例则高达24.1%~35.3%。与CK和F处理相比,生物炭输入显著增加了SOC含量,但未显著提升MBC的占比;秸秆和水溶性有机肥输入显著提升了MBC和MRC占SOC的比例。【结论】含氮量较高、碳氮比值较低的秸秆增加了土壤微生物生物量碳和残体碳含量及其对有机碳的贡献,且高施用量时效果更显著;氮含量和碳氮比值低的生物炭增加了土壤有机碳含量,促进了真菌生物量和残体碳增加,但未提升微生物生物量碳对有机碳的贡献;含氮量高的水溶性有机肥低施用量时有利于提升微生物生物量碳和残体碳含量及其对土壤有机碳的贡献,但高施用量作用相反。因此,增加秸秆和生物炭投入量,控制水溶性有机肥投入量有利于微生物碳组分的积累,促进土壤有机碳的固定。

农业垦殖对东北黑土不同有机氮组分的影响

为明确农业垦殖对东北黑土区土壤有机氮的影响,研究按纬度由北向南采集黑土区土壤样品(农业耕作土和未扰动墓地自然土),采用Bremner酸解法测定土壤酸解总氮、酸解氨态氮、氨基酸态氮、氨基糖态氮和酸解未知氮等有机氮组分变化特征。研究发现,农业垦殖显著影响了黑土区土壤酸解总氮含量,变异幅度约为7.58%~30.43%,且耕作土酸解总氮含量与地理纬度和土壤有机质含量呈显著正相关关系。同时,与未扰动自然土相比,农业垦殖明显降低了酸解氨态氮含量4.20%以上,改变了各有机氮组分在酸解总氮中的比例,整体上垦殖耕作土中不同有机氮组分大小关系为酸解氨态氮>氨基糖态氮>氨基酸态氮>酸解未知氮。此外,垦殖后各有机氮组分随纬度呈现规律性变化特征,特别是含量较高的酸解氨基糖态氮和酸解未知态氮分别与地理纬度表现出显著的负相关和正相关关系。总的来说,农业垦殖显著影响了黑土酸解总氮含量,改变了有机氮不同组分在土壤中的分布格局。