Carbon sequestration in soils of SW-Germany as affected by agricultural management—Calibration of the EPIC model for regional simulations

Global emissions trading allows for agricultural measures to be accounted for the carbon sequestration in soils. The Environmental Policy Integrated Climate (EPIC) model was tested for central European site conditions by means of agricultural extensification scenarios. Results of soil and management analyses of different management systems (cultivation with mouldboard plough, reduced tillage, and grassland/fallow establishment) on 13 representative sites in the German State Baden-Württemberg were used to calibrate the EPIC model. Calibration results were compared to those of the Intergovernmental Panel on Climate Change (IPCC) prognosis tool. The first calibration step included adjustments in (a) N depositions, (b) N₂-fixation by bacteria during fallow, and (c) nutrient content of organic fertilisers according to regional values. The mixing efficiency of implements used for reduced tillage and four crop parameters were adapted to site conditions as a second step of the iterative calibration process, which should optimise the agreement between measured and simulated humus changes. Thus, general rules were obtained for the calibration of EPIC for different criteria and regions. EPIC simulated an average increase of +0.341 Mg humus-C ha⁻¹ a⁻¹ for on average 11.3 years of reduced tillage compared to land cultivated with mouldboard plough during the same time scale. Field measurements revealed an average increase of +0.343 Mg C ha⁻¹ a⁻¹ and the IPCC prognosis tool +0.345 Mg C ha⁻¹ a⁻¹. EPIC simulated an average increase of +1.253 Mg C ha⁻¹ a⁻¹ for on average 10.6 years of grassland/fallow establishment compared to an average increase of +1.342 Mg humus-C ha⁻¹ a⁻¹ measured by field measurements and +1.254 Mg C ha⁻¹ a⁻¹ according to the IPCC prognosis tool. The comparison of simulated and measured humus C stocks was r² ≥ 0.825 for all treatments. However, on some sites deviations between simulated and measured results were considerable. The result for the simulation of yields was similar. In 49% of the cases the simulated yields differed from the surveyed ones by more than 20%. Some explanations could be found by qualitative cause analyses. Yet, for quantitative analyses the available information from farmers was not sufficient. Altogether EPIC is able to represent the expected changes by reduced tillage or grassland/fallow establishment acceptably under central European site conditions of south-western Germany.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

转Bt-cry1Ac棉花花粉对意大利蜜蜂生长发育的影响

研究了取食转Bt-cry1Ac棉花花粉对意大利蜜蜂的影响,主要包括意大利蜜蜂的生长发育、体内酶活性的变化.结果发现,取食转Bt-cry1Ac基因棉花花粉的意大利蜜蜂与取食非转基因亲本棉花花粉的蜜蜂(CK)相比,4、5、6日龄幼虫体重差异不显著,幼虫及蛹的历期也没有明显差异.取食转Bt-cry1Ac基因棉花花粉的意大利蜜蜂6日龄幼虫体内的谷胱甘肽-S-转移酶、总蛋白酶活力与CK相比,没有显著差异.取食转Bt-cry1Ac基因棉花花粉的意大利蜜蜂幼虫体内的α-乙酸萘酯酶、乙酰胆碱酯酶活力极显著高于CK,强碱性、弱碱性类胰蛋白酶活力极显著低于CK,类胰凝乳蛋白酶活力显著低于CK.另外,采用酶联免疫(ELISA)方法在取食转Bt-cry1Ac基因棉花花粉的蜜蜂6日龄幼虫体内能够检测到Bt杀虫蛋白.表4参12     

UV-B辐射对大豆和黄瓜幼苗某些生理特性的影响

在植物生长室中,ＵＶ－ Ｂ辐射明显降低黄瓜幼苗的根系活力,抑制程度随辐射时间的延长而增强．黄瓜和大豆幼苗的叶绿素和可溶性蛋白含量减少与ＵＶＢ辐射时间长短呈正相关,但是类胡萝卜素减少幅度不大．ＵＶＢ对Ｃｈｌｂ 的破坏较Ｃｈｌａ 严重,导致Ｃｈｌａｂ 比值增大．ＵＶＢ虽增加大豆幼苗的ＳＯＤ活性,但降低大豆幼苗的ＮＲ活性及其对温度变化的敏感性．分析认为,Ｃｈｌａｂ 比值和ＳＯＤ 活性升高,有助于植物对ＵＶＢ的适应     

Hg2+胁迫下玉米生理生态变化的研究

通过砂培实验,研究汞胁迫下玉米的生理生态指标包括叶绿素含量、根系活力、游离脯氨酸含量的变化.结果表明,汞对玉米的胁迫是浓度和时间双重因子的作用在低汞浓度、短时间内,叶绿素含量、根系活力及游离脯氨酸含量均有上升的趋势;在高汞浓度、长时间内,各生理指标均严重下降.各生理指标对汞的敏感度略有差异游离脯氨酸含量>根系活力>叶绿素含量;其中脯氨酸含量可以作为汞污染的一个监测指标.     

利用果胶培养基分离番茄根际细菌

采用平板稀释和PCR-DGGE相结合的方法,比较了4种培养基(果胶富营养培养基PM,只含果胶一种营养的培养基PA,添加果胶的寡营养培养基YPP以及与YPP营养成分一致但不添加果胶的寡营养培养基YPG)分离番茄根际细菌的能力.结果显示:PA培养基能够分离到42种形态的细菌;YPP培养基可以分离到最高的细菌菌落数,分离获得的种类比PA少;YPP培养基分离获得细菌的种类和菌落数量比YPG培养基要多.聚类分析也显示只有果胶一种营养的PA培养基能分离到最多种类,分离获得的菌群与自然环境中微生物群落最相似.研究结果表明添加番茄根际主要分泌物——果胶到培养基中可以提高培养基分离细菌的能力.     

甘肃某冶炼厂区土壤重金属铅、镉污染特征及其对微生物群落结构的影响

长期受到重金属铅(Pb)和镉(Cd)污染的土壤生态危害指数较高,土壤微生物群落结构容易受到重金属的影响,重金属对土壤微生物的毒性与重金属的生物利用度直接相关.以白银市重金属污染土壤为样本,分析了土壤的理化性质、重金属Pb和Cd的污染状况及土壤微生物群落结构,探究它们之间的关联性.样本采自距离污染中心由近及远的4个位置(...     

全氟和多氟烷基化合物对环境微生物群落的影响

全氟和多氟烷基化合物(per- and polyfluoroalkyl substances, PFASs)作为一种环境新污染物被广泛关注。PFASs的生物毒性及生态健康风险成为生态毒理领域研究的一个热点。PFASs不仅对环境中的微生物个体产生毒性效应,长期暴露可以对环境微生物群落的组成、结构和酶活性产生影响,从而干扰生态系统中正常的物质循环和能量流动。本文阐述了PFASs对不同环境介质(淡水环境、海洋环境、污泥和土壤)中微生物群落结构和多样性的影响,总结了PFASs存在条件下酶活性和功能的响应,在此基础上对PFASs生态风险评价的研究方向进行展望,以期为客观评价PFASs的环境生态风险提供理论依据和支撑。     

Coupling a land use model and an ecosystem model for a crop-pasture zone

This paper describes the development of a land use model coupling ecosystem processes. For a given land use pattern in a region, a built-in regional ecosystem model (TESim) simulates leaf physiology of plants, carbon and nitrogen dynamics, and hydrological processes including runoff generation and run-on re-absorption, as well as runoff-induced soil erosion and carbon and nitrogen loss from ecosystems. The simulation results for a certain period from 1976 to 1999 were then used to support land use decisions and to assess the impacts of land use changes on environment. In the coupling model, the land use type for a land unit was determined by optimization of a weighted suitability derived from expert knowledge about the ecosystem state and site conditions. The model was applied to the temperate crop-pasture band in northern China (CCPB) to analyze the interactions between land use and major ecosystem processes and functions and to indicate the added value of the feedbacks by comparing simulations with and without the coupling and feedbacks between land use module and ecosystem processes. The results indicated that the current land use in CCPB is neither economical nor ecologically judicious. The scenario with feedbacks increased NPP by 46.78 g C m⁻² a⁻¹, or 32.23% of the scenario without feedbacks, also decreased soil erosion by 0.65 kg m⁻² a⁻¹, or 23.13%. Without altering the regional land use structure (proportions of each land use type). The system developed in this study potentially benefits both land managers and researchers.     

The effects of forest harvest intensity in combination with wind disturbance on carbon dynamics in Lake States Mesic Forests

Total forest carbon (C) storage is determined by succession, disturbances, climate, and the edaphic properties of a site or region. Forest harvesting substantially affects C dynamics; these effects may be amplified if forest harvesting is intensified to provide biofuel feedstock. We tested the effects of harvest intensity on landscape C using a simulation modeling approach that included C dynamics, multiple disturbances, and successional changes in composition. We developed a new extension for the LANDIS-II forest landscape disturbance and succession model that incorporates belowground soil C dynamics derived from the CENTURY soil model. The extension was parameterized and calibrated using data from an experimental forest in northeastern Wisconsin, USA. We simulated a 9800 ha forested landscape over 400 years with wind disturbance combined with no harvesting, harvesting with residual slash left on site (‘standard harvest’), and whole-tree harvesting. We also simulated landscapes without wind disturbance and without eastern hemlock (Tsuga canadensis) to examine the effects of detrital quantity and quality on C dynamics. We estimated changes in live C, detrital C, soil organic C, total C, and forest composition. Overall, the simulations without harvesting had substantially greater total C and continued to sequester C. Standard harvest simulations had more C than the whole tree harvest simulations. Under both harvest regimes, C accrual was not evident after 150 years. Without hemlock, SOC was reduced due to a decline in detritus and a shift in detrital chemistry. In conclusion, if the intensity of harvesting increases we can expect a corresponding reduction in potential C storage. Compositional changes due to historic circumstances (loss of hemlock) may also affect forest C although to a lesser degree than harvesting. The modeling approach presented enabled us to consider multiple, interacting drivers of landscape change and the subsequent changes in forest C.