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Soil carbon fractions in response to mineral and organic fertilizer types and rates 土壤碳组分对矿肥和有机肥类型和施用量的响应
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-05-08 DOI: 10.36783/18069657rbcs20220132
G. F. Oliveira, Álvaro Luiz Mafra Resources, J. C. Corrêa, Paulo Hentz, Maytê Cechetto, Diego Fernando Roters, Marco Segalla Prazeres, Jadiel Andognini
: The use of organic fertilizers from pig slurry and poultry litter can increase soil organic carbon and crop productivity. This study aimed to evaluate soil organic carbon fractions and corn yield after applying organic and mineral fertilizers. The experiment was conducted in the western region of Santa Catarina State, southern Brazil on a Nitossolo Vermelho Eutroférrico típico (Rhodic Kandiudox). The production system was an integrated crop-livestock using corn and soybean in the summer and black oat and rye with grazing by sheep in the winter. The experimental design was randomized blocks, with treatments in factorial 5 × 3 + 1, with four replications, five sources of fertilizers, three rates and the control with no fertilization. The treatments were three organic fertilizers: poultry litter, pig slurry and compost from pig slurry and two minerals fertilizer (M1 and M2). Mineral fertilizers were formulated from pig slurry (M1) and poultry litter (M2), with the application of three rates, which represent 75, 100 and 150 % of the recommendation for the crop, based on the element that is most demanding by the plant (K for soybeans and N for corn). Soil samples were collected at the layers of 0.00-0.05, 0.05-0.10 and 0.10-0.20 m in which fractions of total soil organic carbon (TOC), namely particulate (POC) and mineral-associated organic carbon (MAC) were determined. Corn yield was evaluated in the 2018/2019 and 2019/2020 seasons. The results were analyzed through analysis of variance to compare sources and polynomial regression analysis for fertilizer rates. The MAC fraction has a higher proportion of TOC and its contents were higher with increasing rates of organic and mineral fertilizers, mainly in the surface layer. Poultry litter and compost fertilizers increased TOC’s particulate fraction (POC), showing the highest levels at the highest fertilization recommendation rate. Organic and mineral fertilizers positively increase corn yield, and animal-derived fertilizers show that they can be an alternative for high crop yields.
:使用猪浆和家禽粪便中的有机肥可以增加土壤有机碳和作物生产力。本试验旨在评价施用有机肥和矿肥后土壤有机碳组分与玉米产量的关系。该实验在巴西南部圣卡塔琳娜州西部地区的Nitossolo Vermelho eutrofsamrrico típico (Rhodic Kandiudox)上进行。夏以玉米、大豆为主,冬以黑麦、黑麦为主,以羊为食,是一种农牧结合的生产体系。试验设计为随机区组,处理因子为5 × 3 + 1, 4个重复,5个肥料来源,3个施肥率,对照不施肥。施用3种有机肥:禽肉垃圾、猪浆和猪浆堆肥,以及2种矿物肥(M1和M2)。矿质肥料由猪浆(M1)和家禽粪便(M2)配制而成,根据植物最需要的元素(大豆需氧量为K,玉米需氧量为N),施用三种肥料,分别占作物推荐用量的75.0%、100%和150%。在0.000 ~ 0.05、0.05 ~ 0.10和0.10 ~ 0.20 m土层采集土壤样品,测定土壤总有机碳(TOC),即颗粒有机碳(POC)和矿物相关有机碳(MAC)的组分。评估了2018/2019和2019/2020年度的玉米产量。结果通过方差分析比较来源和多项式回归分析对施肥量进行分析。随着有机肥和矿物肥施用量的增加,有机质组分中TOC的比例较高,且含量较高,主要分布在表层。禽畜凋落物和堆肥肥料增加了TOC的颗粒分数(POC),在最高的施肥推荐率下表现出最高的水平。有机肥和矿物肥对玉米产量有积极的提高作用,动物源性肥料表明它们可以成为作物高产的替代选择。
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引用次数: 0
Soil properties changing and carbon losses by anthropic drainage in savanna palm swamp (vereda), central Brazil 巴西中部热带稀树草原棕榈沼泽(vereda)人为排水导致的土壤性质变化和碳损失
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-05-08 DOI: 10.36783/18069657rbcs20220144
Gilsonley Lopes dos Santos, Eduardo Carvalho Silva, Tiago Stumpf da Silva, E. M. Costa, Sidinei Júlio Beutler, Claudio Gomes da Silva, R. Delgado, I. Horák‐Terra, M. G. Pereira
: In the Cerrado, the palm swamps ( veredas ) are characterized by being humid and stable environments that lead to the formation of Histosols ( Organossolos ). and soils with surface horizons of organic constitution, which are fragile and sensitive to anthropic action. This study aimed to evaluate the impact of anthropization (recurrent forest fires and livestock farming) on the chemical, physical and morphological properties of soils in two palm swamps in the Environmental Preservation Area (EPA) of Pandeiros River, Minas Gerais, namely: Água Doce, in preserved condition, and Taboa, in anthropized condition. Four soil profiles were morphologically described, two profiles in each palm swamp, with subsequent chemical and physical analyses, calculations of organic carbon stock and identification of the origin of organic matter. The results were analyzed using descriptive statistics and Pearson’s correlation coefficient. Soil morphological properties were influenced by vegetation cover, drainage and anthropization conditions. As for the physical and chemical properties, adequate values were observed in the preserved palm swamp, including lower bulk density values and higher cation contents. Anthropic actions in the anthropized palm swamp caused degradation of soils, revealed by subsidence, reduction in organic carbon content, increase in bulk density and decrease in fertility. Changes promoted in the soils of the palm swamps compromise ecosystem services, indicating that actions at either local or governmental level should be stimulated for the preservation and conservation of these environments.
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引用次数: 0
Straw management effects on global warming potential and yield-scaled greenhouse gas emissions in a subtropical rice ecosystem 秸秆管理对亚热带水稻生态系统全球变暖潜力和产量规模温室气体排放的影响
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-05-01 DOI: 10.36783/18069657rbcs20220134
Eduardo Lorensi de Souza, D. A. Weiler, C. Bayer, E. Marchesan, Bruno Chaves, Getúlio Elias Pilecco, R. Schmatz, S. Giacomini
: Global warming potential (GWP) of rice paddies depends on straw management. This study evaluated methane (CH 4 ) and nitrous oxide (N 2 O) emissions and soil C stocks to determine GWP and yield-scaled GWP under different strategies and intensities of rice straw management in a subtropical climate. We hypothesized that decreasing soil management intensity and straw incorporation in the soil would reduce GWP. Methane fluxes were substantially higher during the rice growing season than in the off-season, while the opposite was observed for N 2 O fluxes. The cumulative emissions of CH 4 during the growing season among the straw management strategies evaluated ranged from 165.8 to 586.0 kg ha -1 . Annual CH 4 emissions were lower when soil and straw received some type of management compared to no-tillage. Daily N 2 O fluxes ranged from -2.8 to 201.7 g ha -1 day -1 ; cumulative N 2 O emissions during the off-season ranged from 455.2 to 2816.5 g ha -1 . During the off-season, strategies to reduce N 2 O emissions include post-harvest straw incorporation using a disc harrow, winter straw removal, and ryegrass cropping. Soil organic C stocks ranged from 35.96 to 38.36 Mg ha -1 . Straw management using a disc harrow reduced soil organic C stocks, with more adverse effects than straw removal. Soil and rice straw management did not affect rice grain yield, with an average of 10.4 Mg ha -1 . Methane emissions were the main component of GWP in all straw management systems. The contribution of N 2 O emissions to GWP was small and mostly (>85 %) determined by off-season emissions. Yield-scaled GWP ranged from 0.64 to 1.06 Mg CO 2 eq Mg -1 yield and was lower when soil and straw management systems occurred shortly after the rice harvest. Our results indicate that soil and straw management immediately after rice harvest reduces CH 4 emissions, GWP, and yield-scaled GWP.
稻田的全球变暖潜能值(GWP)取决于秸秆管理。本研究评估了亚热带气候下不同秸秆管理策略和强度下的甲烷(ch4)和氧化亚氮(n2o)排放和土壤C储量,以确定全球变暖潜能值和产量比例的全球变暖潜能值。我们假设降低土壤管理强度和秸秆在土壤中的掺入会降低全球升温潜能值。甲烷通量在水稻生长季显著高于淡季,而氮氧通量则相反。各秸秆管理策略的生长季甲烷累积排放量在165.8 ~ 586.0 kg ha -1之间。与免耕相比,土壤和秸秆接受某种类型的管理时,年甲烷排放量较低。日氮氧通量为-2.8 ~ 2017 g / h -1 day -1;淡季累积氮氧化物排放量为455.2 ~ 2816.5 g ha -1。在淡季,减少氮氧化物排放的策略包括收获后使用盘耙秸秆,冬季秸秆清除和黑麦草种植。土壤有机碳储量为35.96 ~ 38.36 Mg ha -1。秸秆管理使用圆盘耙减少土壤有机碳储量,与秸秆去除相比,其不利影响更大。土壤和稻草管理对水稻产量没有影响,平均为10.4 Mg ha -1。在所有秸秆管理系统中,甲烷排放是全球变暖潜能值的主要组成部分。氮氧排放对全球变暖潜能值的贡献很小,大部分(约85%)由淡季排放决定。按产量比例计算的GWP值为0.64 ~ 1.06 Mg CO 2 = Mg -1,在水稻收获后不久实施土壤和秸秆管理时,GWP值较低。我们的研究结果表明,水稻收获后立即进行土壤和秸秆管理可以减少甲烷排放、全球变暖潜能值和产量比例的全球变暖潜能值。
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引用次数: 1
Soil organic carbon fractions in agroforestry system in Brazil: seasonality and short-term dynamic assessment 巴西农林系统土壤有机碳含量的季节性和短期动态评估
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-05-01 DOI: 10.36783/18069657rbcs20220095
P. S. Matos, L. Pinto, Sandra Santana de Lima, Thassiany de Castro Alves, Eduardo Pellegrino Cerri, M. G. Pereira, E. Zonta
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引用次数: 0
Soil nitrogen transformation and functional microbial abundance in an agricultural soil amended with biochar 生物炭改良农用土壤氮素转化与功能微生物丰度
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-04-14 DOI: 10.36783/18069657rbcs20220156
Junnan Ding
: Biochar soil amendments are attracting attention as one strategy to improve soil microbially ecological environment and regulate the soil nitrogen cycle. This study aimed to evaluate the effects of biochar application on agricultural soil improvement, nitrogen (N) mineralization and nitrification. The experiment was carried out on a typical farmland containing black soil and saline-alkaline soil in Northeast China. Four treatments were undertaken, including the control-treated black soil farmland (CS), the biochar-treated black soil farmland (BCS), the control-treated saline-alkali soil farmland (SAS), and the biochar-treated saline-alkaline soil farmland (BSAS). Basic physical and chemical properties, enzyme activity, and the contents of ammonium-nitrogen (NH 4+ -N) and nitrate-nitrogen (NO 3--N) in the soil were subsequently determined. The co-occurrence networks of bacterial communities of the biochar and control treatment groups were constructed based on high-throughput sequencing data of the 16S rRNA genes. The results showed that the BCS and BSAS treatments significantly increased the contents of soil organic matter, total nitrogen, total phosphorus, and available phosphorus. The application of biochar significantly increased the NH 4+ -N contents in the black soil and saline-alkaline soil by 81.78 and 80.08 %, respectively, while significantly reducing the soil NH 4+ -N/NO 3--N content, which promoted the transformation of NH 4 + -N into NO 3 - -N. Subsequently, the released NH 4 + -N was transformed into NO 3 - -N through nitrification. After the biochar application, the NO 3--N contents in the black and saline-alkaline soils could be fixed. The biochar application significantly increased the abundance of gdh , AOA-amo A, AOB-amo A, nir K, nir S, nos Z, and nif H genes, with no significant difference in the abundance of nap A genes being found among different treatments. Microbes playing a key role in the co-occurrence network were Proteobateria, Acidobacteria, Bacteroidetes, Actinobacteria, and Chloroflexi. As compared with the CS and SAS treatments, under the BCS+BSAS treatment, the connectors, module hubs, connectedness, and clustering coefficient showed larger parameters, and the networks were more complex. The application of biochar gradually increased the nodes, edges, and average degree of the bacterial co-occurrence network, thus indicating that the interaction between microbial groups in the black and saline-alkaline soils post biochar application may be important in the biogeochemical cycle process in farmland soil.
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引用次数: 1
Application of organic and mineral fertilizers increases carbon fractions in two classes of aggregates in an Integrated Crop-Livestock System 施用有机肥和矿肥增加了作物-牲畜综合系统中两类团聚体的碳组分
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-04-14 DOI: 10.36783/18069657rbcs20220044
G. F. Oliveira, Á. L. Mafra, J. C. Corrêa, Paulo Hentz, Maytê Cechetto
: Application of organic fertilizers of animal origin can increase organic carbon in the soil and increase its content in macroaggregates. This study aimed to evaluate carbon contents and fractions in two classes of soil aggregates in response to the application of organic and mineral fertilizers in an integrated crop-livestock system. The experiment was established in Concórdia, Santa Catarina State, in a Nitossolo Vermelho Eutroférrico típico , (Rhodic Kandiudox according to the WRB system) (0.00-0.05, 0.05-0.10, and 0.10-0.20 m), in an integrated crop-livestock, with corn and soybean in the summer, black oat and rye in the winter, shepherded by sheep. The design used was randomized blocks, with treatments in factorial design (5 × 3 + 1), with four replications, five sources of fertilizers, three rates and the control with no fertilization. Three organic fertilizers were applied: poultry litter, pig manure and compost; and two minerals fertilizers: M1 (formulated according to the composition of the pig slurry) and M2 (adjusted according to the composition of the poultry litter), combined with three applications rates, corresponding to 75, 100 and 150 % of the recommendation for the crop of interest, based on the element with greater demand. Total organic carbon (TOC), particulate (POC) and mineral-associated organic carbon (MAC) contents were determined in two classes of soil aggregates C1 (8.00 to 4.76 mm) and C2 (4.76 to 2.00 mm), in samples collected in the 2018/2020 crop season. Crop yields were determined in every season. The results were analyzed using analysis of variance to compare sources and polynomial regression analysis for fertilizer rates. The soil has high aggregate stability, even so, the use of organic and mineral fertilizers increased aggregation. The poultry litter organic fertilizer increases aggregation, forming largely aggregates with a size of 8.00-4.76 mm, and increases the contents of total fractions of soil organic carbon, providing the system with a more stabilized carbon. In the 0.00-0.05 m layer, organic fertilizers increased the content of total organic carbon. The stabilized fraction (MAC) showed a higher proportion of total soil organic carbon than particulate organic carbon (POC).
{"title":"Application of organic and mineral fertilizers increases carbon fractions in two classes of aggregates in an Integrated Crop-Livestock System","authors":"G. F. Oliveira, Á. L. Mafra, J. C. Corrêa, Paulo Hentz, Maytê Cechetto","doi":"10.36783/18069657rbcs20220044","DOIUrl":"https://doi.org/10.36783/18069657rbcs20220044","url":null,"abstract":": Application of organic fertilizers of animal origin can increase organic carbon in the soil and increase its content in macroaggregates. This study aimed to evaluate carbon contents and fractions in two classes of soil aggregates in response to the application of organic and mineral fertilizers in an integrated crop-livestock system. The experiment was established in Concórdia, Santa Catarina State, in a Nitossolo Vermelho Eutroférrico típico , (Rhodic Kandiudox according to the WRB system) (0.00-0.05, 0.05-0.10, and 0.10-0.20 m), in an integrated crop-livestock, with corn and soybean in the summer, black oat and rye in the winter, shepherded by sheep. The design used was randomized blocks, with treatments in factorial design (5 × 3 + 1), with four replications, five sources of fertilizers, three rates and the control with no fertilization. Three organic fertilizers were applied: poultry litter, pig manure and compost; and two minerals fertilizers: M1 (formulated according to the composition of the pig slurry) and M2 (adjusted according to the composition of the poultry litter), combined with three applications rates, corresponding to 75, 100 and 150 % of the recommendation for the crop of interest, based on the element with greater demand. Total organic carbon (TOC), particulate (POC) and mineral-associated organic carbon (MAC) contents were determined in two classes of soil aggregates C1 (8.00 to 4.76 mm) and C2 (4.76 to 2.00 mm), in samples collected in the 2018/2020 crop season. Crop yields were determined in every season. The results were analyzed using analysis of variance to compare sources and polynomial regression analysis for fertilizer rates. The soil has high aggregate stability, even so, the use of organic and mineral fertilizers increased aggregation. The poultry litter organic fertilizer increases aggregation, forming largely aggregates with a size of 8.00-4.76 mm, and increases the contents of total fractions of soil organic carbon, providing the system with a more stabilized carbon. In the 0.00-0.05 m layer, organic fertilizers increased the content of total organic carbon. The stabilized fraction (MAC) showed a higher proportion of total soil organic carbon than particulate organic carbon (POC).","PeriodicalId":21215,"journal":{"name":"Revista Brasileira De Ciencia Do Solo","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69745412","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Digital soil mapping for the Parnaíba River delta, Brazilian semiarid region 巴西半干旱区Parnaíba河三角洲数字土壤制图
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-04-14 DOI: 10.36783/18069657rbcs20220160
J. P. Amorim, G. Valladares, M. G. Pereira, M. Portela, Andréa Maciel Lima
: Soil mapping is a permanent demand, but the traditional method does not allow fast execution and low cost. Digital soil mapping (DSM) aims to improve the process by working with models that treat soil spatial variability quantitatively. In this perspective, the objective of the study is to perform DSM of the Parnaíba River Delta, Northeastern Brazil, through the decision tree (DT) integration technique using a set of attributes derived from the digital elevation model (DEM) and satellite images as input parameters. Data matrices were created considering different soil groups. The performance of the J48 machine learning algorithm (DT) was assessed for a set of two data matrices: one elaborated for the mapping units of the pre-existing conventional pedological map and the other for a set of associations determined based on the characteristics of the landscape of the study area with close correlation with the existing soils, mainly due to the source material. From the data processing, digital soil maps were created and validated by means of error matrices, whose reference points were classified in the field and validated using a pre-existing traditional soil map of the area. The results revealed that the attributes derived from satellite images stood out from those derived from DEM in predicting soil groups. Based on the validation coefficients applied (overall accuracy, Kappa index, user’s accuracy and producer’s accuracy), the classification quality was satisfactory, despite the complexity of the environment.
{"title":"Digital soil mapping for the Parnaíba River delta, Brazilian semiarid region","authors":"J. P. Amorim, G. Valladares, M. G. Pereira, M. Portela, Andréa Maciel Lima","doi":"10.36783/18069657rbcs20220160","DOIUrl":"https://doi.org/10.36783/18069657rbcs20220160","url":null,"abstract":": Soil mapping is a permanent demand, but the traditional method does not allow fast execution and low cost. Digital soil mapping (DSM) aims to improve the process by working with models that treat soil spatial variability quantitatively. In this perspective, the objective of the study is to perform DSM of the Parnaíba River Delta, Northeastern Brazil, through the decision tree (DT) integration technique using a set of attributes derived from the digital elevation model (DEM) and satellite images as input parameters. Data matrices were created considering different soil groups. The performance of the J48 machine learning algorithm (DT) was assessed for a set of two data matrices: one elaborated for the mapping units of the pre-existing conventional pedological map and the other for a set of associations determined based on the characteristics of the landscape of the study area with close correlation with the existing soils, mainly due to the source material. From the data processing, digital soil maps were created and validated by means of error matrices, whose reference points were classified in the field and validated using a pre-existing traditional soil map of the area. The results revealed that the attributes derived from satellite images stood out from those derived from DEM in predicting soil groups. Based on the validation coefficients applied (overall accuracy, Kappa index, user’s accuracy and producer’s accuracy), the classification quality was satisfactory, despite the complexity of the environment.","PeriodicalId":21215,"journal":{"name":"Revista Brasileira De Ciencia Do Solo","volume":"1 1","pages":""},"PeriodicalIF":1.7,"publicationDate":"2023-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"69748075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Litterfall production, decomposition and litter nutrient contents in a mined area revegetated with different forest species 不同林种复植矿区凋落物产量、分解及凋落物养分含量
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-04-14 DOI: 10.36783/18069657rbcs20220122
Fernanda Daniele de Almeida Valente, M. Castro, José Ferreira Lustosa, Aldo Teixeira Lopes, S. R. Borges, L. Gomes, J. C. L. Neves, I. Silva, T. S. Oliveira
: Afforestation of sites disturbed after bauxite mining is the favorite technique to restore all ecosystem functions. The nature of the tree species used for revegetation of post-mining land can accelerate the recovery of soil organic matter and nutrient cycles. This study aimed to determine the litterfall production, decomposition rate and nutrient content from three types of forest cover ( Eucalyptus , Anadenanthera peregrina , mixed plantation of 16 native species) planted in a bauxite mining area in recovery. Litterfall production was evaluated monthly over 30 months, and the litter mass was assessed twice a year (dry and rainy periods). Total nutrient content was determined from samples grouped by period (dry and rainy). The annual average values for litterfall dry mass and litter mass were higher in Eucalyptus and mixed native. The period (dry or rainy) did not influence litterfall rates in A. peregrina , but Eucalyptus and mixed native presented higher amounts for litterfall during the rainy and dry periods, respectively. Litter accumulation in Eucalyptus was not affected by the season of the year, but mixed native and A. peregrina presented higher litter accumulation in the dry season. Apparent decomposition rates of A. peregrina and mixed native were higher in the rainy season, highlighting the A. peregrina with the highest values compared with the other forest covers. The mixed native presented the highest leaf content of P, K, Ca and Mg in both the litterfall and litter mass, while Eucalyptus had the lowest P, K, Ca, S and N content and the highest C content in the litterfall. Litterfall production is important in degraded areas to ensure the nutrient return to the soil. The data obtained suggest that the cultivation of a mixed of 16 native trees contribute for produce the higher annual litterfall yields, besides produces leaf litterfall of better nutritional quality in relation to P, K, Ca, Mg and S. Therefore, mixed of native trees can be a promising option for reactivation of nutrient cycling and organic matter formation in mined area of bauxite in the Brazilian Atlantic Forest
对铝土矿开采后受到破坏的地点进行植树造林是恢复所有生态系统功能的最佳技术。采垦后土地恢复树种的特性可以加速土壤有机质和养分循环的恢复。本研究旨在测定铝土矿矿区三种森林覆盖类型(桉树、褐皮树和16种本地树种混交林)在恢复过程中的凋落物产量、分解速率和养分含量。在30个月内每月评估凋落物产量,每年两次(旱季和雨季)评估凋落物质量。总养分含量由样品按季节(干雨期)分组测定。年平均凋落物干质量和凋落物质量在桉树和混合原生中较高。枯水期和雨季对凋落物率没有影响,但桉树和混合土分别在丰水期和枯水期表现出较高的凋落物量。桉树凋落物积累量不受季节的影响,但在旱季本地和洋槐混合凋落物积累量较高。游槐和混合土的表观分解率在雨季均较高,其中游槐的表观分解率最高。在凋落物和凋落物质量中,混合原生的P、K、Ca、Mg含量最高,而桉树的P、K、Ca、S、N含量最低,C含量最高。在退化地区,凋落物生产是保证养分返回土壤的重要手段。所获得的数据表明,混合栽培16种原生树木有助于产生较高的年凋落物产量,而且与P, K, Ca, Mg和s相关的叶片凋落物具有更好的营养品质。因此,混合种植原生树木可能是巴西大西洋森林铝土矿矿区营养循环和有机质形成的一个有希望的选择
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引用次数: 1
Spatial multivariate optimization for a sampling redesign with a reduced sample size of soil chemical properties 减少土壤化学性质样本数量的采样重新设计的空间多元优化
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-04-07 DOI: 10.36783/18069657rbcs20220072
T. C. Maltauro, L. P. C. Guedes, M. Uribe-Opazo, L. E. D. Canton
: Precision agriculture can improve the decision-making process in agricultural production, as it gathers, processes and analyzes spatial data, allowing, for example, specific fertilizer application in each location. One of the proposals to deal with spatial heterogeneity of the soil or the distribution of chemical properties is to define application zones (homogeneous subareas). These zones allow reducing both spatial variability of the yield of the crop under study and of the environmental impacts. Considering the soil data, application zones can also represent strata or indicators to direct future soil sampling, thus seeking sample size reduction, for example. This study aimed to obtain an optimized sampling redesign using application zones generated from the assessment of five clustering methods (Fuzzy C-means, Fanny, K-means, McQuitty and Ward). Soil samples were collected in an agricultural area located in the city of Cascavel-Paraná-Brazil, and analyzed in the laboratory to determine the soil chemical properties, referring to four soybean harvest years (2013-2014, 2014-2015, 2015-2016 and 2016-2017). The application zones were obtained through a dissimilarity matrix that aggregates information about the Euclidean distance between the sample elements and the spatial dependence structure of the properties. Subsequently, an optimized sampling redesign, with reduction of the initial sample points, was obtained in these application zones. For the harvest years under study, the K-means and Ward clustering methods efficiently defined the application zones, dividing the study area into two or three application zones. Among the reduced sample configurations obtained by the optimization process, when comparing the initial sample configuration, the one optimized by 25 % (selecting 75 % of the initial configuration points, which corresponds to 76 sample points) was the most effective in terms of the accuracy indices (overall accuracy, Kappa, Tau). This fact indicates greater similarity between the thematic maps of these sample configurations. In this way, the reduced sample configurations could be used to generate the application zones and reduce the costs regarding the laboratory analyses involved in the study.
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引用次数: 1
Soil quality indicators for monitoring the short-term effects of mined soil rehabilitation strategies for bauxite 监测铝土矿开采土壤修复策略短期效果的土壤质量指标
IF 1.7 4区 农林科学 Q3 SOIL SCIENCE Pub Date : 2023-04-07 DOI: 10.36783/18069657rbcs20220126
D. M. Cavalcante, I. Silva, T. S. Oliveira
: Mining is a significant driver of soil mobilization, which impacts its physical, chemical, and biological properties. Changes in land-use affect the distribution of organic matter fractions in stable aggregates, a process that is still poorly understood, especially in drastically altered areas. Recovering and monitoring soil quality to ensure the sustainable development of agricultural crops in these areas after mining is challenging. This study aimed to evaluate the influence of agronomic practices in soil rehabilitation in a bauxite-mined area after three years of field experiment installations through an assessment of organic properties in soil and aggregate classes; an attempt was also made at proposing and elaborating a Soil Quality Index (SQI), which encompasses the soil’s physical, chemical, and organic properties. Different combinations of fertilization treatments and ground cover plants intercropping with coffee were evaluated as rehabilitation practices. The results showed that after three years of rehabilitation, when organic (OF), chemical (CF), and OF+CF fertilizers were applied to the areas of coffee intercropped with Brachiaria (B), they provided higher C and N contents to the soil and aggregates classes, as well as the compartments of soil organic matter (SOM). The minimum set of soil quality indicators for reclaimed bauxite-mined areas was composed of organic indicators: labile organic carbon (LOC) and mineral-associated organic matter (C-MOM); chemical indicators including pH and effective cation-exchange capacity (t), and physical indicators such as the bulk density (BD) and stable aggregates index in water (SAI W ). The t and pH were the variables most sensitive to the management systems implanted during the rehabilitation of the mined area, and, therefore, were considered the best indicators of soil quality. Brachiaria was the cover plant that contributed most to improving the soil quality of mined bauxite areas by increasing the SQI, especially when fertilized. In general, when applied to the Brachiaria, the OF+CF fertilization presented a SQI of 0.78, differing statistically from that of the natural vegetation (1.00). Fertilizers and cover crops in association with coffee in the bauxite-mined areas improved the physical, chemical, and organic properties of the soil, thus representing a viable option for reconditioning mineral exploration areas
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引用次数: 1
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