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871.
No consensus currently exists about how climate change should affect the status of soil organic matter (SOM) in the tropics. In this study, we analyse the impact of climate change on the underlying mechanisms controlling SOM dynamics in a ferralsol under two contrasting tropical crops: maize (C4 plant) and banana (C3 plant). We model the effect of microbial thermal adaptation on carbon (C) mineralisation at the crop system scale and introduce it in the model STICS, which was previously calibrated for the soil-crop systems tested in this study. Microbial thermal adaptation modelling is based on a reported theory for thermal acclimation of plant and soil respiration. The climate is simulated from 1950 to 2099 for the tropical humid conditions of Guadeloupe (French Antilles), using the ARPEGE model and the IPCC emission scenario A1B. The model predicts increases of 3.4 °C for air temperature and 1100 mm yr−1 for rainfall as a response to an increase of 375 ppm for atmospheric carbon dioxide concentration in the 2090-2099 decade compared with the 1950-1959 decade. The results of the STICS model indicate that the crop affects the response of SOM to climate change by controlling the change in several variables involved in C dynamics: C input, soil temperature and soil moisture. SOM content varies little until 2020, and then it decreases faster for maize than for banana. The decrease is weakened under the hypothesis of thermal adaptation, and this effect is greater for maize (−180 kg C ha−1 yr−1 without adaptation and −140 kg C ha−1 yr−1 with adaptation) than for banana (−60 kg C ha−1 yr−1 and −40 kg C ha−1 yr−1, respectively). The greater SOM loss in maize is mainly due to the negative effect of warming on maize growth decreasing C input from residues. Climate change has a small effect on banana growth, and SOM loss is linked to its effect on C mineralisation. For both crops, annual C mineralisation increases until 2040, and then it decreases continuously. Thermal adaptation reduces the initial increase in mineralisation, but its effect is lower on the final decrease, which is mainly controlled by substrate limitation. No stabilisation in SOM status is attained at the end of the analysed period because C mineralisation is always greater than C input. Model predictions indicate that microbial thermal adaptation modifies, but does not fundamentally change the temporal pattern of SOM dynamics. The vegetation type (C3 or C4) plays a major role in SOM dynamics in this tropical soil because of the different impact of climate change on crop growth and then on C inputs.  相似文献   
872.
Vegetation growth models often concentrate on the interaction of vegetation with soil moisture but usually omit the influence of groundwater. However the proximity of groundwater can have a profound effect on vegetation growth, because it strongly influences the spatial and temporal distribution of soil moisture and therefore water and oxygen stress of vegetation. In two papers we describe the behavior of a coupled vegetation-groundwater-soil water model including the competition for water and light. In this first paper we describe the vegetation model, compare the model to measured flux data and show the influence of water and light competition in one dimension. In the second paper we focus on the influence of lateral groundwater flow and spatial patterns along a hillslope. The vegetation model is based on a biophysical representation of the soil-plant-atmosphere continuum. Transpiration and stomatal conductance depend both on atmospheric forcing and soil moisture content. Carbon assimilation depends on environmental conditions, stomatal conductance and biochemical processes. Light competition is driven by tree height and water competition is driven by root water uptake and its water and oxygen stress reaction. The modeled and measured H2O and CO2 fluxes compare well to observations on both a diurnal and a yearly timescale. Using an upscaling procedure long simulation runs were performed. These show the importance of light competition in temperate forests: once a tree is established under slightly unfavorable soil moisture conditions it can not be outcompeted by smaller trees with better soil moisture uptake capabilities, both in dry as in wet conditions. Performing the long simulation runs with a background mortality rate reproduces realistic densities of wet and dry adapted tree species along a wet to dry gradient. These simulations show that the influence of groundwater is apparent for a large range of groundwater depths, by both capillary rise and water logging. They also show that species composition and biomass have a larger influence on the water balance in eco-hydrological systems than soil and groundwater alone.  相似文献   
873.
This study aims to determine heavy-metal levels in soil from the banks of Lake Nasser, the ability of Tamarix nilotica to accumulate such metals from soil and hence its potential for phytoextraction. Soil and Tamarix samples were collected from the banks of four bights around Lake Nasser and analysed for Fe, Mn, Ca, Mg, Cr, Cu, Ni, Zn, Cd and Pb by atomic absorption spectrometry, whereas Na and K were measured by atomic emission spectrophotometry. Three different methods of extraction were used for the soil samples. Lead, copper and zinc were equally distributed between the exchangeable phase and Fe/Mn oxide-bound form, while other measured metals were mainly present in the Fe/Mn oxide fraction. With the exception of iron, all metals studied showed total concentrations within the geochemical background values. T. nilotica exhibited elevated concentrations of Na (36.2–48.5?mg?g?1) and K (2.74–4.33?mg?g?1) in stems, and relatively high concentrations of Pb, Cd and Co (0.39–1.03?µg?g?1, 0.24–1.3?µg?g?1 and 1.94–5.3?µg?g?1, respectively) are found in plant leaves. Bioaccumulation factors of Na and K (9.3 and 12.63, respectively) were high in T. nilotica stems. While the bioaccumulation of Pb, Cd, Co and Ni (2870.1, 2035.4, 10.5 and 5313.2, respectively) was high in plant leaves, Fe, Mn, Ca and Mg were accumulated relatively equally in plant stems and leaves. T. nilotica was found to secrete high amounts of Na, Ca and K, in addition to small amounts of all accumulated metals except Cd and Cu. These secreted metals appeared as salt crystals (67.5% Na; 25.8% Ca; 5% Mg; 1.5% K and 0.16% trace and minor elements) on the plant surface. The concentrations of all the metals studied in T. nilotica were higher than in the salt crystals. Statistical analysis of the database suggests bioaccumulation of these metals from soil to T. nilotica. This reflects the importance of using T. nilotica as a model in the phytoremediation process as an established environmental clean-up technology.  相似文献   
874.
o‐Chloroacetophenone (CAF) is a peripheral sensory irritant used in open air situations giving rise to human and environmental exposure. An analytical GC method has been developed to determine CAF residual in soil and vegetable substrates at low ppm levels.  相似文献   
875.
A study was undertaken for the prediction of runoff flow from 0.8 ha field-sized agricultural watershed in South Korea using Soil and Water Assessment Tool (SWAT) sub-daily. The SWAT model with sub-daily configuration predicted flow from the watershed within the range of acceptable accuracy. The SWAT sub-daily simulations were carried out for a total of 18 rainfall events, 9 each for calibration and validation. Overall trend and extent of matching simulated flow for the rainfall events in 2007-2008 with measured data during the calibration process were coefficient of determination (R2) value of 0.88 and Nash and Sutcliffe Efficiency (ENS) value of 0.88. For validation, R2 and ENS values were 0.9 and 0.84, respectively. Whereas R2 and ENS values for simulation results using daily rainfall data were 0.79 and -0.01, respectively, that were observed to be out of acceptable limits for the model simulation. The importance of higher time resolution (hourly) precipitation records for flow simulation were evaluated by comparing R2 and ENS with 15 min, 2 h, 6 h and 12 h precipitation data, which resulted in lower statistics with increases in time resolution of precipitation data. The SWAT sub-daily sensitivity analysis was performed with the consideration of hydraulic parameter and was found as in the rank order of CN2 (curve number), ESCO (soil evaporation compensation factor), GW_DELAY (ground water delay time), ALPHA_BF ( base flow alpha factor), GWQMN ( a threshold minimum depth of water in the shallow aquifer required for return flow to occur) , REVAPMN (minimum depth of water in shallow aquifer for re-evaporation to occur) , LAT_TIME (lateral flow travel time) respectively. These sensitive parameters were evaluated at 10% higher and lower values of the parameters, corresponding to 70.5% higher and 23.2% lower in simulated flow out from the SWAT model. From the results obtained in this study, hourly precipitation record for SWAT sub-daily with Green-Ampt infiltration method was proven to be efficient for runoff estimation at field sized watershed with higher accuracies that could be efficiently used to develop site-specific Best Management Practices (BMPs) considering rainfall intensity, rather than simply using daily rainfall data.  相似文献   
876.
微生物-植物联合修复技术作为一种低耗高效的新型修复手段已经被广泛应用于有机污染土壤的修复领域并取得了较好的效果,新型生物资源的应用将推动该方法的进一步发展。本研究采用温室盆栽实验,以里氏木霉(Trichodermaressei FS10-C)、根瘤菌(Rhizobium meliloti)和紫花苜蓿(Medicago sativa L.)作为供试生物,设置添加灭活菌剂-无紫花苜蓿(CK)、添加灭活菌剂-种植紫花苜蓿(A)、接种木霉菌剂-种植紫花苜蓿(TA)、接种木霉菌根瘤菌复合菌剂-种植紫花苜蓿(TRA)4种处理,探究微生物-植物联合修复对多环芳烃(PAHs)污染土壤的生物修复效果及其微生态效应。结果表明,经过60 d的培养,微生物不仅促进了紫花苜蓿的生长,而且在紫花苜蓿的协同作用下进一步提高了土壤中PAHs降解率。TA处理中紫花苜蓿生物量增加了5.88%,而TRA处理进一步促进了紫花苜蓿的生长,其生物量增加了11.15%;A、TA和TRA处理下土壤中PAHs的降解率分别为17.02%、25.62%、32.93%,显著(p〈0.05)高于处理CK(5.67%)。此外,接种菌剂处理(TA、TRA)对土壤中高分子量PAHs具有更好的降解效果,A处理土壤中4-、5(+6)环PAHs的降解率分别为18.13%、24.74%,TA处理为21.41%、28.34%,而TRA处理则为21.29%、30.11%。同时,紫花苜蓿能够通过其根际效应显著促进土壤微生物活性,相较于CK处理,A、TA、TRA处理土壤脱氢酶活性分别提高了33.20%、34.58%、32.65%,A、TA、TRA处理AWCD值和微生物群落多样性指数均显著(p〈0.05)高于CK。通过木霉、根瘤菌与紫花苜蓿联合作用不仅可以有效地降解土壤中的PAHs,而且能够恢复土壤微生物生态功能多样性和稳定性。因此,该方法是一种极具潜力的生物修复手段,具有广阔的市场应用前景。  相似文献   
877.
草地是我国最大的陆地生态系统,土壤呼吸是草地碳循环研究的重要内容,是土壤碳库输出的主要方式,影响大气中CO2浓度变化。放牧是草地主要利用方式之一,通过动物采食和践踏,改变植被冠层结构,对土壤理化性质、土壤有机质和土壤微生物产生影响,进而改变土壤呼吸速率。为探究不同载畜率对短花针茅(Stipa breviflora)荒漠草原土壤呼吸速率的影响,2011—2012年用Li-8100开路式碳通量测定系统,对生长季内(6—10月)4个不同载畜率处理下的土壤呼吸进行测定,测定周期为2周1次。辅助测定地下10 cm的土壤温度及土壤湿度,并分析土壤呼吸与土壤温、湿度的关系。结果表明:1)2011年不同载畜率对土壤呼吸速率无显著影响,表现为对照〉中度放牧〉轻度放牧〉重度放牧的变化趋势。2012年与对照(1.6μmol·m-2·s-1)相比,重度放牧(1.07μmol·m-2·s-1)显著降低土壤呼吸速率。总体而言,2011年土壤呼吸速率低于2012年,但差异不显著。2011年土壤温度(20.73℃)显著高于2012年(14.38℃),不同处理间无显著差异,重度放牧区偏高。2012年土壤湿度(7.24%)显著高于2011年(4.11%),对2年数据整体分析发现,轻度放牧区土壤湿度显著低于对照和中度放牧。2011年土壤湿度变化趋势为中度放牧〉对照〉重度放牧〉轻度放牧。2012年,轻度放牧土壤湿度最小,各处理间差异不显著。2)2011年,土壤呼吸与土壤温度月动态无明显规律,与土壤湿度呈现相反的变化趋势。2012年土壤呼吸的月动态与土壤温、湿度变化趋势相似。3)2011年,土壤呼吸速率随温度升高出现波动,与土壤湿度呈负相关。2012年,土壤呼吸速率随土壤温、湿度升高而增大。在干旱年份,降水减少会掩盖放牧对土壤呼吸的影响;在降雨较多的年份,重度放牧显著降低土壤呼吸速率。  相似文献   
878.
Soil organic carbon (SOC) and soil total nitrogen (STN) concentrations and stocks are essential for improving soil quality and increasing C-reservoir. The study aimed at quantifying the dynamics of soil properties under different land use in Imo watershed where there is no knowledge about the effects of land use on SOC and STN pool. Six land use: arable land (AL), forest land (FL), grassland (GL), shrubland hills (SL), urban built-up green (UL), and freshwater swamp-mangrove wetland (WL) were classified using ArcGIS 10.1 and FAO land use classification system. Soil samples were collected and analyzed from each land use under different soil depths and slope positions with three replications. Topsoil layer (0–30?cm) contributed to more than 90% of the total soil nutrients. Land use significantly affected SOC content, STN content, and bulk density. SOC and STN concentrations were in the order of FL?>?WL?>?GL?>?SL?>?UL?>?AL which revealed the potentials of FL and WL for SOC and STN sequestration. The study provides land users with the information to improve soil quality, conserve C and N stocks for ecological sustainability and climate change mitigation.  相似文献   
879.
Using a standard plot method, the stoichiometry of carbon (C), nitrogen (N), and phosphorus (P) in leaves, litter, and soil (0-20 cm depth) was investigated for three forest types: Populus davidiana, Larix principis-rupprechtii, and Pinus tabuliformis. The results showed that the stoichiometry of C, N, and P of the same component in the three forests were significantly different. The C and N contents in leaves, litter, and soil in P. davidiana forest were higher than those in L. principis-rupprechtii and P. tabuliformis forests were. However, P in the L. principis-rupprechtii forest was higher than that in the P. davidiana forest and P. tabuliformis forests were. The C, N, and P contents of the components in the three forests were, in order, leaves > litter > soil, and the three nutrient contents were significantly higher in leaves and litter than they were in soil. C:N and C:P in the three forests exhibited a trend of litter > leaves > soil, whereas that for N:P was leaves > soil > litter. There were highly significant positive relationships in N:P between the litter and the soil in the P. davidiana forest. Leaf C:N and litter C:P in the L. principis-rupprechtii forest were significantly negatively correlated, whereas N:P in the leaves and soil was positively correlated. There was a significant positive correlation in N:P between the leaves and the soil in the P. tabuliformis forest. In conclusion, the N contents in leaves and soil exhibited a significant positive correlation, whereas there was no significant correlation between C, N, and P in litter or soil. Environmental factors had a large influence on the stoichiometry of C, N, and P in soil. In particular, latitude and altitude had the most significant effects on C, N, P, C:N, and C:P and were significantly p ositively correlated. T hese results provide a scientific basis for f urther studies on nutrient utilization a nd t he cyclic characteristics of different forests in this area. © 2018 Science Press. All rights reserved.  相似文献   
880.
In order to understand the interaction between microorganisms in soil attached to the stipes of Tricholoma matsutake, we utilized high-throughput sequencing technology using an Illumina HiSeq 2500 System (San Diego, CA, USA) to explore the bacterial community structure in such soils and analyzed the effects of microorganisms on the formation and growth of T. matsutake. A total of 6 730 sequences were obtained from the samples, and these sequences were clustered into 928 operational taxonomic units (OTUs) at a 97% similarity level. In addition, these OTUs were grouped into 22 bacterial phyla (including 62 classes, 90 orders, 162 families, and 275 genera) and 2 archaeal phyla (including 4 classes, 6 orders, 7 families, and 8 genera). Proteobacteria was the dominant phylum present in all the samples, and these bacteria were significantly more abundant in soils attached to stipe of T. matsutake than they were in the control samples. Similarly, Beta-proteobacteria were the dominant class, and bacteria in this class were less abundant than they were in the control samples. Moreover, the genus Burkholderia within the Proteobacteria was more abundant in the control samples than in the T. matsutake soil samples. Generally, Proteobacteria, especially the genus Burkholderia, played an important role in the growth of T. matsutake, whereas other bacteria, such as Unknown-Ellin 60, would probably inhibit the growth of T. matsutake. This study showed that bacteria might be involved in the growth of T. matsutake and the formation of its fruiting bodies, but they had no positive relationship with bacterial abundance, which may provide theoretical guidance for the cultivation of T. matsutake. © 2018 Science Press. All rights reserved.  相似文献   
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