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Aspects of forest restoration and hydrology:the hydrological function of litter

Journal of Forestry Research 2022年第2期33卷 543-552页

作者： Luara Castilho Pereira Leonardo Balbinot marcelle teodoro lima Julieta Bramorski Kelly Cristina Tonello Hydrology in Forest Ecosystems Lab.(Hidrolef) Department of Environmental SciencesFederal University of São Carlos(UFSCar)SorocabaSão PauloBrazil Hydrology in Forest Ecosystems Lab.(Hidrolef) Department of Environmental SciencesFederal University of Amapá(UNIFAP)MacapáAmapáBrazil

Although forests play important roles in the hydrological cycle,there is little information that relates the water retention capacity of litter in areas under passive restoration,especially in Cerrado *** study relates litter levels to water holding capacity and effective water retention among forest fragments under different passive restoration stages:46,11,and 8 years to better understand litter hydrological functions in the *** retention capacity and effective water retention capacity of litters(unstructured materials,branches and leaves)in the field were monitored on a monthly *** litter accumulation at 46 years was significantly higher than that of the other succession *** litter mass was significantly higher than that of leaves and *** 46-year stage had the highest water holding capacity in the leaf fraction,followed by unstructured material and *** the water holding capacity was lower in the oldest resto-ration,this site showed the highest efficiency under field *** process was quickly reestablished,as the 11-year restoration showed results closer to that for the 46-year stage in comparison to the area at 8 ***,passive restoration plays a key role in soil water mainte-nance due to the influence of litter in Cerrado *** and the imminent need of restoring degraded sites,highlight the need for further studies focused on bet-ter understanding of the process of forest restoration and its temporal effect on soil water recovery dynamics.

关键词： Forest hydrology Litter interception Stemflow Cerrado Águas Perenes Forest Water holding capacity

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A Method to Identify Anomalies in Stock Market Trading Based on Probabilistic Machine Learning

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Journal of Autonomous Intelligence 2019年第2期2卷 42-52页

作者： Anderson Rodrigo Barretto teodoro Paulo Andrélima de Castro Autonomous Computational Systems Lab Technological Institute of Aeronautics(ITA)Sao Jose dos Campos-SP

Financial operations involve a significant amount of resources and can directly or indirectly affect the lives of virtually all *** the efficiency and transparency in this context,it is essential to identify financial crimes and to punish the ***,the large number of operations makes it infeasible for analyzes made exclusively by ***,the application of automated data analysis techniques is *** this scenario,this work presents a method that identifies anomalies that may be associated with operations in the stock exchange market prohibited by ***,we seek to find patterns related to insider *** types of operations can generate big losses for *** this paper,we use the public available information from SEC and CVM,based on real cases on BOVESPA,NYSE and NASDAQ stock exchanges,that it was used as a training *** method includes the creation of several candidate variables and the identification of which are the most *** this definition,classifiers based on decision trees and Bayesian networks are constructed,evaluated and then *** computational cost of performing such tasks can be quite significant,and it grows quickly with the amount of analyzed *** this reason,the method considers the use of machine learning algorithms distributed in a computational *** order to perform such tasks,we use the WEKA framework with modules that allows the distribution of the processing load in a Hadoop *** use of a computational cluster to execute learning algorithms in a large amount of data has been an active area of research,and this work contributes to the analysis of data in the specific context of financial *** obtained results show the feasibility of the approach,although the quality of the results is limited by the exclusive use of publicly available data.

关键词： Data Mining Machine Learning Anomaly Detection

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19-year remotely sensed data in the forecast of spectral models of the environment

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International Journal of Digital Earth 2021年第8期14卷 1040-1066页

作者： Fernando Saragosa Rossi Carlos Antonio da Silva Junior JoséFrancisco de Oliveira-Júnior Paulo Eduardo teodoro Luciano Shozo Shiratsuchi Mendelson lima Larissa Pereira Ribeiro teodoro Auana Vicente Tiago Guilherme Fernando Capristo-Silva State University of Mato Grosso(UNEMAT) Alta FlorestaMato GrossoBrazil Department of Geography State University of Mato Grosso(UNEMAT)SinopMato GrossoBrazil cFederal University of Alagoas(UFAL) MaceióAlagoasBrazil dFederal University of Mato Grosso do Sul(UFMS) Chapadão do SulMato Grosso do SulBrazil eAgCenter School of PlantEnvironmentaland Soil SciencesLouisiana State University(LSU)Baton RougeLouisianaUSA fPostgraduate Program in Agronomy Federal University of Mato Grosso(UFMT)SinopMato GrossoBrazil

The aims of this study were:i)to compare no-till areas in two municipalities located in different regions of Brazil,along with the influence on CO_(2)Flux and GPP,and ii)to verify the difference between environmental factors followed by the trends of these variables regarding future scenarios(ARIMA time-series model number).The study was carried out in two areas with different latitudes in the municipalities of Sinop-MT and Passo Fundo-RS,both in Brazil.A time series of 19 years was performed with data acquired by remote sensing from the following satellites:i)Landsat-8(OLI and TIRS),and ii)TERRA/AQUA(MODIS).The results propound that the spectro-temporal variables are directly influenced by soil management and agricultural practices over the observation time,with a satisfactory correlation in future predictions of the variables for the next ten years,in which presented that the variation of GPP and albedo values for the two study sites would gradually increase until 2028 and the temperature remained constant between the range of its seasonality,and CO_(2)Flux tends to decrease in its seasonality,indicating a higher CO_(2) absorption.

关键词： ARIMA numerical modeling remote sensing orbital products tillage

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Performance of Conventional and Transgenic Soybean Cultivars in the South and Alto Paranaiba Regions of Minas Gerais, Brazil

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American Journal of Plant Sciences 2015年第9期6卷 1385-1390页

作者： Isabela Pereira de lima Adriano teodoro Bruzi Flávia Barbosa Silva Botelho Everton Vinicius Zambiazzi Igor Oliveri Soares Alan Mario Zuffo Department of Agriculture Federal University of Lavras (UFLA) Lavras Brazil

The aim of this study was to compare transgenic and conventional soybean cultivars in regard to yield performance and agronomic traits. Six soybean cultivars were tested: three conventional cultivars and their three isogenic transgenic derivatives, in two locations, Lavras and Patos de Minas in Minas Gerais, Brazil, in the 2012/13 crop season. Data on yield (kg·ha-1), plant height (cm), and tolerance to lodging were collected. The cultivars had different responses. The cultivar BRS/MG46 Conquista had lower yields than its isogenic derivative BRS Valiosa RR, but this was not seen with the conventional cultivar M-SOY 6101, which produced more than its isogenic derivative M-SOY 7211 RR. Between the isogenic cultivars BRS/MG68 Vencedora and BRS Favorita RR, there were no significant differences. Nevertheless, the contrast between the mean values of the transgenic and conventional cultivars shows that the conventional cultivars had mean values greater than the transgenic cultivars.

关键词： Evaluation Glycine max L. Merrill Isogenic Lines Transgenic Crops

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