Navegando por Autor "Silva, Emanuel Araújo"

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Abordagem comparativa entre a aplicação da metodologia KATAM e inventário tradicional em plantios de Khaya senegalensis (Desr.) A. Juss
(2023-09-15) Silva, Kamilo Alaboodi da; Silva, Emanuel Araújo; Hakamada, Rodrigo Eiji; http://lattes.cnpq.br/4186459700983170; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/5612600854790108
The forest inventory helps forest managers taking decisions. Installing, measuring and managing a network of inventory plots is a costly and time-consuming activity. The remote sensing techniques are increasingly gaining ground in the forestry sector because they have the potential to reduce costs without incurring any loss of precision, but they are not widely used due to their high cost. In this context, the Swedish company Katam Technologies has developed a solution for acquiring and analyzing forest data: KATAM Forest, which works using the KASLAM algorithm, which has not yet been widely used and tested in national forests. The goal of this study was to compare, in terms of accuracy and operational performance, the application of KASLAM artificial intelligence through the KATAM Forest application in forest inventory activities in Khaya senegalensis (Desr.) A. Juss plantations (5 years old), located in the state of Pernambuco, with the sampling techniques of a traditional forest inventory. Diameter at breast height (DBH) data was collected within 9 plots, as well as videos with artificial intelligence, recorded within the coordinates of the sampling units. Descriptive statistics were performed on the DBH data by plot, followed by the parametric Shapiro-Wilk normality test, where, if the null hypothesis was rejected, a non-parametric Mann-Whitney U test was required to understand the difference in averages. Operational performance was assessed using the time data obtained during the inventory process within the plots in both approaches. The DBH variable in the two inventory methodologies does not have a clear distribution concentrated close to the mean. The non-parametric test resulted in the averages obtained for DBH not showing statistical differences between the methodologies at the 5% significance level. The operational performance of the Katam methodology was half of the traditional inventory. The Katam technologies are very promising in terms of reducing time and costs in forest inventory operations. Therefore, further studies are recommended so that the subject can be disseminated in a practical way.
Análise da distribuição espacial do índice de umidade do solo em regiões semiáridas a partir de dados de sensoriamento remoto
(2019-11-26) Santos, Jadiene Moura dos; Silva, Emanuel Araújo; Oliveira, Cinthia Pereira de; http://lattes.cnpq.br/8148643000907549; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/5414923091157764
Soil moisture represents a fraction of water that is at a surface level of the earth where there is interaction with the atmosphere through evapotranspiration. It is a fundamental variable in the functioning of several processes that act in the terrestrial system, besides characterizing the desertification of semiarid and arid regions. This course conclusion work aimed to evaluate the spatial distribution of the soil moisture index in a dry tropical forest area, in the city of Floresta/PE, through orbital images. The methodology was applied for four distinct dates (11/21/15, 11/23/16, 12/12/17 and 11/13/18) and data processing to obtain the Normalized Difference Vegetation Index (NDVI), Surface Temperature (Ts) and Soil Moisture Index (IUS) were performed using Qgis software. In addition, the time series of the annual precipitation of the municipality of Floresta / PE were classified into dry, normal or rainy years, using the quantile method and the monthly precipitation analysis in relation to the climatological normals from 2015 to 2018, using the data obtained from the APAC website. Finally, the point cloud distribution was distributed between IUSxNDVI and IUSxTs. The results showed that the classification from 1999 to 2018 eight years behaved as normal and six years as dry and rainy, where the values for dry years ranged from 149.50 to 349.20mm, the normal ones from 392.70 to 538.1mm and the rainy ones from 559.10 to 750.60mm. For the years 2015, 2016, 2017 and 2018, the accumulated monthly precipitation values were 223.00mm, 395.10mm, 399.20mm and 653.50mm, respectively. The NDVI values in exposed soil plus thin vegetation ranged from 0.124 to 0.323, in arboreal vegetation between 0.351 to 0.649 and in surrounding water bodies -0.072. At surface temperature, minimum values of 23.80 ° C and maximum values of 44.93 ° C were found. For the soil moisture index, 0.240 were found in exposed soil and thin vegetation, 0.417 to 0.746 in tree vegetation and 0.821 in water. In the distribution of the IUS point cloud with NDVI and Ts biophysical parameters, it was observed that 2015 and 2016 had no pixels in the negative NDVI region and Ts pixels were above 40 ° C. On the other hand, in 2017 and 2018 due to the presence of water there was a reduction in Ts, where most pixels were below 40 ° C. The Quantis method allowed to identify in an interval of twenty years an irregular pattern between years classified as dry, normal and rainy. The monthly precipitation of the four showed great variability in relation to the climatological normal of the municipality. The NDVI allowed to identify the presence of water bodies, exposed soil with herbaceous and arboreal vegetation in the farm Itapemirim / PE. The achievement of low surface temperature values on the imaged dates is associated with high NDVI and soil moisture values. IUS values were lower in exposed soil and more expressive in water and under tree vegetation, due to the rapid response of dry tropical forests during the rainy season during the imaging date. Point cloud distribution showed increasing behavior for IUSxNDVI and inverse for IUSxTs.
Análise das características dos índices de vegetação em um plantio de Eucalyptus spp. utilizando imagens do Sentinel-2A
(2023-09-14) Silva, Adailton Domingos Salustiano da; Silva, Emanuel Araújo; Sá, Vânia Aparecida de; http://lattes.cnpq.br/5807408661337266; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/7511858370212406
Composição florística do campus universitário UFPE
(2019) Andrade, José Maurício de Carvalho Paes de; Silva, Emanuel Araújo; http://lattes.cnpq.br/2765651276275384
The afforestation is an important factor that determines the environmental health, having as a planning tool for urban development. In this context, the objective of this work was to carry out a census of floristic composition, at the Federal University of Pernambuco, Campus Recife. The arboreal census was carried out basically in all departments of the University and after that the data were analyzed through spreadsheets (Excel). In all, 65 species were collected, distributed in 3,453 individuals, grouped in 23 families, the one that was most representative was Fabaceae, soon after Arecaceae, Anacardiaceae and Bignoniaceae; The most representative species were Clitoria fairchildiana. Regarding the usefulness of the applications, Plant @ net was used more frequently. It is necessary to conclude the subjects inherent to the floristic survey, such as phytosanity, the effect of pruning, among others. In this way, the results from the data obtained so far contribute to the discussions started.
Detecção de árvores individuais por meio do lidar para a gestão da arborização do Campus-Dois Irmãos da UFRPE
(2019-07-11) Gomes, Rayane Mireli Silva; Silva, Emanuel Araújo; Silva, Vanessa Souza da; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/0663135141305608
Urban forests are elements that promote the balance between urban and rural environments, presenting important social, political, economic and architectural character, besides providing an improvement in the population's quality of life. LiDAR is a technology that has been used in forest applications with certain frequency growth, mainly due to the fast availability and access to data and its accuracy. Forest inventory is an essential activity for the qualitative and quantitative knowledge and characterization of forest areas, but it is very time consuming, so many companies and professionals are using remote sensing techniques to optimize the performance of the activity, in terms of time, cost and efficiency. With the constant improvement of technologies, remote sensing became part of the techniques and methodologies used in the monitoring and management of green areas. Automatic detection of individual trees is a fundamental procedure for studies that aim to extract dendrometric data at tree level, height, for example, is a measure that in the field can be difficult to obtain in the traditional way. These data from individual trees allow us to represent canopy and / or canopy characteristics, as well as future analyzes and structural and floristic characterizations of the vegetation. Given the above, the objective of the present work was to explore the potential of airborne LiDAR data for detecting individual trees in an urban forest area at the UFRPE headquarters campus, using Fusion, the technology has as its principle a laser scanning of a terrain emitting pulses at a high frequency and calculating the return time of these pulses to the sensor, forming a cloud of dots mapping the terrain below. Using the Fusion software, soil and surface separation was performed using the Groundfilter command, followed by the creation of digital terrain and surface models using the GridsurfaceCreate command. Still in a Fusion environment, a digital canopy model (CHM) was created using the Canopymodel command. After processing, data analysis was performed in RStudio, using packages and functions specific to this type of processing. In the FindTreesDetection function, three filter window sizes were used, since the study refers to the vegetation area without standard spacing. The results showed that in the study area, as calculated by RStudio, based on the 3x3, 5x5 and 7x7 filter windows, there are, respectively, 6,263, 2,356 and 1,367 trees identified during processing.
Dinâmica da cobertura da terra (2016-2023): um estudo no Parque Natural Municipal Mata do Frio e seu entorno, Paulista - PE
(2023-09-18) Lima, Richely da Silva; Lima Neto, Everaldo Marques de; Silva, Emanuel Araújo; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/6791561445213969; http://lattes.cnpq.br/5078677187654553
The Conservation Units (UC) in Brazil are used as tools for increasing environmental preservation and ecosystem protection. However, without proper monitoring and management, they become targets for degradation and environmental crimes, particularly those units located in urban areas, which are subject to anthropogenic pressure. Taking into consideration the reported cases of deforestation within the Municipal Natural Park Mate do Frio in Paulista - PE, this study aimed to analyze the land use and land cover of this conservation unit using remote sensing techniques, specifically the Normalized Difference Vegetation Index (NDVI), to assess changes over a 7-year interval based on satellite images from the Planet Satellite. To achieve this, study area cutouts from the years 2016 and 2023 were utilized, and a 1 km buffer was generated to assess the influence area. The NDVI calculation was applied to the cutout images. and the classes were reclassified based on their values into water, exposed soil, anthropized areas, low vegetation. and dense vegetation. Additionally, images from the studied years were correlated to identify changes in land cover. The study revealed an increase in dense vegetation within the UC, rising from 26.72% to 65.81%, along with a reduction in anthropized areas from 3.33% to 1.89% of the total area. Conversion of anthropogenic areas into low and dense vegetation was observed, accounting for 4.74% and 0.28%, respectively. Despite these positive findings, deforestation of 1.17 ha (5.70% of vegetation area) was noted. Concerning the surrounding area, there was an increase in anthropized areas from 33.17% to 47.12% due to urban expansion, with part of this anthropized area resulting from the deforestation of 67.41 ha of low vegetation. To validate the accuracy of the obtained data, the kappa index was used, showing values above 80% (very good) for the 2016 images and above 90% (excellent) for the 2023 images. The study results indicated that the environmental degradations in the specific UC were not significant but were noticeable, highlighting the need for increased monitoring, environmental education practices with the community, implementation of the unit's management plan, and the delineation of its buffer zone, given the anthropogenic pressure in the surrounding area of the Park.
Dinâmica de uso e cobertura da terra em floresta tropical seca no sertão pernambucano
(2019) Barreto, Thiago Henrique Lagos; Silva, Emanuel Araújo; Salami, Gabriela; http://lattes.cnpq.br/3382724343640625; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/9289202346311385
In view of the increasing degradation that the Caatinga suffers in recent years, mainly in Pernambucano, this work aimed to map the disturbance in dry tropical forest using medium resolution images in the city of Salgueiro-PE. For this, images of LANDSAT 5 satellite were used in the 1998 and 2008 periods, and LANDSAT 8 to 2018. All scenes were georeferenced by the Datum SIRGAS 2000 and the bands used were 5, 4 and 3 for LANDSAT 5 , and the bands 6, 5 and 4 for LANDSAT 8, generating the classification of six classes (forests, agriculture, exposed soil, water bodies, riparian forest and infrastructure) using the QGIS software and the Semi-Automatic Classification Plugin (SCP). The accuracy of the maps was verified by the Kappa coefficient. The three-year maps were crosschecked to quantify remaining forest, forest expansion and deforestation. The Kappa index found for 1998 was 0.72, for 2008 and 2018 it was above 0.8, indicating very good accuracy for 1998 and excellent for 2008 and 2018. In these 20 years, classes that declined in size were forests, exposed soil, bodies of water and infrastructure, being a perimeter of 48.2 km², 84.9 km², 9.4 km² and 16.7 km², respectively. While agriculture and riparian forest increased 81.0 km² and 78.1 km², respectively. The decrease of the exposed soil is due, mainly, to a period of extreme drought in 1998, where there was only rainfall in the first two months. The decrease of the forests is due to several factors, such as population increase, vegetal extraction in the region, an industrial pole of red ceramics and the transformations of the Caatinga in agricultural areas. When observed the changes that occurred in the classes in these 20 years, the remaining forest was 438.1 km², the forest expansion of 181.1 km² and the deforestation of 229.5 km², indicating a good regeneration capacity of the forests and a damaging process of deforestation in this municipality. Therefore, it is concluded that Salgueiro underwent intense anthropic actions harmful to vegetation during 1998 and 2018, provoking deforestation, which provides socioeconomic and environmental problems, thus showing the urgent need for efficient public action.
Dinâmica de uso e ocupação do solo em áreas de preservação permanente do Reservatório do Pirapama, Cabo de Santo Agostinho – PE
(2019-07-11) Moraes, Maria Clara Gomes de; Silva, Emanuel Araújo; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/7061662162165388
Action on natural environments occurs in parallel with human evolution on the planet, so the absence of adequate planning associated with the disorderly growth of cities and agricultural activities directly influence the decharacterization and dysfunctionality of PPPs. In view of the above, the objective of this work was to raise the occurrence of conflicts of land use and occupation in the Permanent Preservation Areas of the Pirapama-PE Reservoir between 2003 and 2018, according to the protection parameters established by environmental legislation. To do so, the APPs were delimited using the software Google Earth Pro and through the software QGis 2.14 was generated the shapefile for trimming the study area. Therefore, using images from the Landsat 5 and 8 satellites, TM (Thematic Mapper) and OLI / TIRS (Operational Land Imager / Thermal Infrared Sensor) with resolution of 30 meters, from 2003, 2010 and 2018, it was possible to map 5 classes of use and occupation of the soil in the 1: 35,000 scale in the QGis environment. The supervised classification of the images was done through the SCP plugin, and the accuracy of this mapping was evaluated by the Kappa Index. The evolution of the conflicts of use of the soil was obtained by means of the overlap of the maps generated with the classifications of the images. In possession, it was possible to determine the amount of preserved APPs and of area in disagreement with the legislation. The results showed that anthropic activities impacted almost 4.65 km² of native vegetation, equivalent to 33.3% of the study area. There was a significant reduction in the "forest preserved" class of land use for agriculture, urban area and exposed soil, from 90.4% in 2003 to 81.8% in 2010 and decreased to 66.7% by 2018 (17.6%) of the area, being the main occurrence of land use conflict of PPAs. By the Kappa index, the image ratings of the years 2003 and 2010 obtained the "very good" result, being 0.62 and 0.80, respectively, while the classification of the year 2018 obtained an "excellent" result, corresponding to 0 , 82 by index. Considering the decrease of the time for territorial monitoring, the importance of the study of the dynamics of land use and occupation through remote sensing for the management and inspection units is highlighted. Such studies are essential for making decisions regarding the management and maintenance of these areas in front of legislation and environmental preservation.
Dinâmica do risco de incêndios sob efeito do El Niño em paisagem do bioma Caatinga em Petrolina - PE
(2023-02-17) Feitosa, Márcio Faustino; Silva, Emanuel Araújo; Souza, Ioneide Alves de; http://lattes.cnpq.br/0383867840261318; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/7669915736150355
Remote sensing techniques have been used since the 1960s to work on a particular object or specific area. Over time, technologies have gained improvements and new software and high resolution satellites have emerged. The Landsat-8 satellite can capture scenes up to 705 km away from earth, with a percentage of 10% of clouds, these scenes can be processed and studied for a certain purpose, among these was the dynamics of fire risk under the effect of El Niño in landscape of the Caatinga Biome. Therefore, it is intended to study the vulnerability of Caatinga and the use of monitoring technologies. The objective of this work is to evaluate the influence of El Niño on the dynamics of fire risk under the landscape of the Caatinga biome in Petrolina-PE, monitoring the risk of fire in relation to the severity of El Niño. Images of the Lansat-8 satellite in the municipality of Petrolina-PE were obtained from the USGS website. The following criteria were adopted for image selection: Data from 2015 to 2020, counting from August 1st to December 31st, at times when there are few precipitations, few clouds and high temperatures due to the warmer months. The tool in data processing was Qgis software, a free license software, indicated for those seeking high quality in academic work in the area of Remote Sensing. In the interval of these years, six fire risk maps were obtained. Togenerate the forest fire risk maps and adopted the AHP methodology, widely used by several authors. Where we obtained eight variables: hypsometric map, land use and occupation, slope orientation, slope, road system, precipitation, surface temperature and vegetation index of the normalized difference. According to the results, a temporal analysis of fire risks was obtained, proving that the years 2015 to 2018 had a continuous increase, and in 2019 and 2020 there was a fall in fire risk. Between these last years there was an El Niño and a La Niña and 2020 was the year that the pandemic occurred, that is, there were few transport flows on the highways, causing low risk of fires.
Dinâmica espacial do cenário florestal em paisagens do bioma Caatinga no município de Araripina - PE
(2022-05-27) Andrade, Adrielle; Silva, Emanuel Araújo; Melo, Lorena de Moura; http://lattes.cnpq.br/1486808425687522; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/8750022516521279
Estimativa de variáveis dendrométricas a partir do sensor LiDAR no IPHONE 13 PRO
(2024-02-29) Santana, Larissa Maria Lopes; Silva, Emanuel Araújo; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/0582963735033837
Nos últimos anos, o uso de tecnologias de sensoriamento remoto, como o sensor LiDAR, tornou-se fundamental na análise de variáveis dendrométricas em áreas florestais, e o LiDAR no iPhone 13 Pro representa uma inovação, oferecendo uma maneira acessível e eficiente de obter dados precisos sobre a estrutura florestal. Este trabalho visa avaliar a eficácia do sensor LiDAR do iPhone 13 Pro na estimativa de variáveis dendrométricas, como diâmetro e altura das árvores, em um povoamento de Mogno Africano, comparando medições com métodos convencionais para verificar a precisão dos dados obtidos pelo LiDAR. A tecnologia LiDAR tem avançado significativamente, permitindo a obtenção de dados tridimensionais detalhados sobre a estrutura das florestas, sendo amplamente utilizada na engenharia florestal para inventário, planejamento de manejo e modelagem de crescimento de árvores; aplicativos que incorporam LiDAR, como ForestScanner e Arboreal Tree, têm mostrado potencial em fornecer estimativas precisas de variáveis dendrométricas. O estudo foi realizado na Estação Experimental de Cana-de-açúcar do Carpina, em Pernambuco, onde dados de diâmetro e altura foram coletados manualmente e por meio dos aplicativos ForestScanner e Arboreal Tree, utilizando o sensor LiDAR do iPhone 13 Pro, e as medições foram comparadas para avaliar a precisão dos dados obtidos pelos aplicativos em relação aos métodos convencionais. Os resultados mostraram uma forte correlação entre as medições convencionais e as obtidas pelos aplicativos, com o ForestScanner apresentando um coeficiente de determinação (R²) de 0,852 e um RMSE de 2,24 cm para o diâmetro, enquanto o Arboreal Tree mostrou um R² de 0,9501 e um RMSE de 1,44 cm; para a altura, o Arboreal Tree apresentou um R² de 0,7857 e um RMSE de 1,31 m, indicando que ambos os aplicativos fornecem estimativas precisas e podem ser usados como alternativas eficientes aos métodos convencionais de medição. A utilização do sensor LiDAR no iPhone 13 Pro, combinada com os aplicativos ForestScanner e Arboreal Tree, mostrou-se eficaz na estimativa de variáveis dendrométricas, destacando a importância da tecnologia LiDAR em dispositivos móveis como uma ferramenta inovadora e prática para a coleta de dados florestais, oferecendo precisão, economia de tempo e custos na obtenção de informações sobre a estrutura florestal.
Inteligência artificial na classificação de uso e cobertura da terra no semiárido de Pernambuco
(2020-11-03) Almeida, Gabriela Costa de; Silva, Emanuel Araújo; Moreira, Giselle Lemos; http://lattes.cnpq.br/6171199372079024; http://lattes.cnpq.br/2765651276275384
The Brazilian Tropical Dry Forest, known as Caatinga, is located in Brazil's northeastern region and has severe climatic characteristics, with dry weather and poorly distributed rainfall. Those climatic characteristics make Remote sensing analysis difficult due to its large vegetation differences between the dry and rainy periods. In order to help the remote sensing analysis in this biome, this work aims to test different Artificial Intelligence algorithms through supervised classification and to identify land use and land cover patterns in the city of Petrolina, in Pernambuco. Three algorithms were tested: Random Forest, Artificial Neural Networks, and K-Nearest Neighbors using QGIS and RStudio software based on Landsat 8 images from the dry period. Twenty samples from the classes were selected: Water, Agriculture, Urban Area, Forest, and Exposed Soil, and these samples served as a basis for training the algorithms for the classification of images. Occupancy data and precision quality assessment were obtained using Mapping Accuracy and Kappa Index, respectively: 0.9878706 and 0.9653555 for Random Forest; 0.9199973 and 0.9454833 for Artificial Neural Networks, 0.9873741 and 0.9598640 for K-Nearest Neighbors, all being considered excellent. These values were higher than those found in the most commonly used algorithms, as in the Maximum Likelihood algorithm. It was observed that the use of artificial intelligence algorithms could generate better results in the classification of land use in semiarid regions.
Mudança de uso e cobertura da terra: variáveis socioeconômicos como fator de alteração do bioma Caatinga em Petrolina - PE
(2025-03-13) Lira, Fernanda Pereira de; Ferreira, Rinaldo Luiz Caraciolo; Silva, Emanuel Araújo; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/8002371435811689; http://lattes.cnpq.br/4949043992606162
A Caatinga desempenha um papel essencial na manutenção da biodiversidade e nos serviços ecossistêmicos da região semiárida. No entanto, as atividades antrópicas, impulsionadas pelo crescimento populacional e pelo desenvolvimento socioeconômico, têm causado significativas mudanças no uso e cobertura da terra, resultando em degradação ambiental e impactos sobre a vegetação nativa. Neste estudo, objetivou-se analisar a influência das variáveis socioeconômicas e agropecuárias na dinâmica territorial do município de Petrolina - PE, nos anos de 2014 e 2024. Para tal, foi utilizado imagens do satélite LANDSAT 8, sensor OLI (Operational Land Imager), adquiridas gratuitamente na página do United States Geological Survey, selecionada com critérios de mínima interferência de nuvens, com faixa de cobertura menor que 5% e resolução espacial de 30 m. Foram utilizadas imagens da órbita 217 e ponto 66 e classificadas pelo algoritmo Random Forest no software QGIS. A acurácia geral da classificação obtida para o ano de 2014 foi de 89,3% e o índice de Kappa de 0,80, enquanto, a acurácia geral da classificação para o ano de 2024 foi de 97,76% e o Índice de Kappa de 0,9599, resultado satisfatórios para comprovar a confiabilidade e qualidade da classificação. Foram identificadas transformações significativas no uso da terra, com a redução de áreas de vegetação e pastagens, aumento do solo exposto e expansão da área urbana. No estudo, demonstrou-se que a pecuária, a expansão urbana, o crescimento populacional e a extração vegetal exercem forte pressão sobre a paisagem da região, contribuindo para processos de degradação ambiental. Os resultados evidenciam a necessidade de políticas públicas e práticas sustentáveis voltadas para o manejo adequado dos recursos naturais e a mitigação dos impactos ambientais na Caatinga.
Tratamentos pré-germinativos na superação de dormência de sementes de Colubrina glandulosa Perk. (Rhamnaceae)
(2019-12-03) Coelho, Nayla Pamella da Silva Cavalcanti; Silva, Emanuel Araújo; Barbosa, Marta Ribeiro; http://lattes.cnpq.br/9559350854481161; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/2836457612273970
Little is known about the use of plant extracts to break dormancy of forest seeds, so it is interesting to study the effect of aqueous extract of Cyperus rotundus as a treatment for overcoming seed dormancy. The aim of this study was to evaluate the efficiency of pre-germinative treatments in overcoming seed dormancy of Colubrina glandulosa Perk. The experiment was developed at the Forest Seed Laboratory of the Federal Rural University of Pernambuco. At the time, seeds of the species obtained from matrices located at the Carpina Sugar Cane Experimental Station were submitted to germination tests by applying 6 treatments with 4 replications. Each unit was characterized by 25 seeds packed in a polyethylene box containing a sheet of paper towels. The treatments were: (T1) without acid scarification + autoclaved distilled water; (T2) without acid scarification + aqueous extract of C. rotundus 5%; (T3) without acid scarification + aqueous extract of C. rotundus 10%; (T4) with acid scarification + aqueous extract of C. rotundus 5%; (T5) with acid scarification + 10% aqueous extract of C. rotundus; and (T6) with acid scarification + autoclaved distilled water. To evaluate the effects of aqueous extract of Cyperus rotundus on seed germination of C. glandulosa, we analyzed: IVG, VG and G%. The statistical design used was completely randomized and in a 2x3 factorial arrangement, considering 2 pre-germinative conditions and 3 types of wetting. Data were submitted to analysis of variance (ANOVA) and means compared by Tukey test at 5% probability. The G% and IVG results obtained showed that there was no significant interaction between the evaluated treatments and that there was a significant difference in the VG between the treatments in which the seeds were not scarified and those that received acid scarification submitted to moistening with same extract type of 10% concentrated thyroid. It was concluded that the interactions between conditioned pre-germination treatments for overcoming dormancy of C. glandulosa dispersion units were not significant.
Zoneamento agroclimático para plantio de Eucalyptus urophylla na Zona da Mata de Pernambuco
(2024-02-19) Silva, Carlos Antônio Campelo Cavalcanti; Silva, Emanuel Araújo; Almeida, Débora de Melo; http://lattes.cnpq.br/2765651276275384; http://lattes.cnpq.br/1534900496128952
The state of Pernambuco, encompassing the biomes of the Atlantic Forest and Caatinga, faces challenges of degradation, especially in the Atlantic Forest, extensive sugarcane cultivation has resulted in forest fragmentation of biome, with impoverished and abandoned areas. The study suggests reestablishing the use of these degraded areas considering market demand, with the main objective of conducting an agroclimatic zoning of areas suitable for eucalyptus plantation in the Zona da Mata of Pernambuco. To achieve this, data on average air temperature and precipitation were collected from four meteorological stations distributed in the region. Using these data, monthly climatic water balance was calculated following the method proposed by Thornthwaite and Mather (1955). Subsequently, the data were processed and mapped using a Geographic Information System (GIS) environment using QGIS 3.16 software. The agroclimatic zoning was elaborated considering the climatic requirements of the Eucalyptus urophylla species, highlighting areas with thermal and water conditions suitable for cultivation. The results showed that approximately 28.95% of the analyzed territory in the Zona da Mata is suitable for the development of the species, concentrating in 16 municipalities surrounding the Metropolitan Region of Recife. This potential area totals 2428 km². On the other hand, approximately 71.05% of the studied area was considered unsuitable due to identified levels of water deficit. These results can contribute to land use planning, promoting more sustainable and effective cultivation practices in the region.