Engenharia Florestal (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/15
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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Resultados da Pesquisa
Item Diagnóstico da arborização no Parque Municipal Maria Anita Amazonas Macdowell, Camaragibe – PE(2023-09-20) Paula, Williane Victoria Matos de; Lima Neto, Everaldo Marques de; http://lattes.cnpq.br/6791561445213969Parks are considered one of the main areas that provide ecosystem benefits for urban centers, characterized by the diversity of species found, performing a landscape and/or social function and contributing to the environmental quality of cities. Therefore, the study aims to inventory the afforestation of the Maria Anita Amazonas Macdowell Municipal Park qualitatively and quantitatively, providing support for the management of green areas in the municipality of Camaragibe – PE. To this end, an arboreal-shrub inventory was carried out, carried out quantitatively, evaluating quantitative parameters, including: number of individuals, species, total height and circumference at breast height. The qualitative diagnosis was carried out by evaluating the following parameters: phytosanitary conditions, mechanical injuries, conditions of the root system and general condition of the individual. In addition, the soil cover classification was carried out and the vegetation cover indices for the municipal park were calculated. 92 individuals were found among trees and palm trees, distributed in 11 botanical families and 13 species. It was observed that 37% of the individuals are less than 3 m tall and 59.78% dbh between 3.7 and 18.6 cm, indicating that they are young individuals from a recent planting. The quality of the park's afforestation is considered good, as 95.65% of individuals are in good physical condition without presenting problems that compromise their development. The presence of anthills was observed in 31.52% of the individuals, only 4.35% had superficial roots. Regarding mechanical injuries, 33.70% of individuals had some type of pruning. The park has an area of 18,602.28 m2, of which 10.68% is tree coverage, 61.29% permeable coverage and 28.03% pavement coverage. In relation to the total green area index (0.126 m2 hab.-1), vegetation cover index (0.013 m2 hab.-1) and percentage of vegetation cover (10.68%), the values found for the park were much lower considered satisfactory. Therefore, it is recommended to implement public policies to raise environmental awareness and plant new individuals, so that the best environmental conditions can be offered to the population in the future.Item 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/5078677187654553The 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.Item Correlação espacial entre renda per capita, área construída e cobertura florestal urbana em Recife - PE(2022-09-30) Paulo, Fernanda Vanilly de Lira; Lima Neto, Everaldo Marques de; http://lattes.cnpq.br/6791561445213969; http://lattes.cnpq.br/0175688410552482Since cities are complex socio-ecological systems, it is highly important to study the interrelationship between socio-economic and natural indicators within the urban environment. Studies that relate urban forest cover to income have found a positive relationship, but most are concentrated in cities in developed countries. On the other hand, underdeveloped countries tend to present an irregular pattern of land occupation and social inequalities. In this way, this work aims to verify if there is a spatial correlation between per capita income, forest cover and built-up area in the city of Recife, and if there is, to analyze whether this correlation is positive or negative, in order to provide subsidies for a fairer urban environmental planning from a socio-environmental point of view. The ground cover was made by the Recife Secretariat for the Environment and Sustainability, using an orthomosaic from 2013. The neighborhoods were used as a basic spatial unit and for income data, the gross domestic product (GDP) per capita, in reais. The following analyzes were performed: Univariate Global Spatial Autocorrelation, Univariate Local Spatial Autocorrelation, Bivariate Global Spatial Correlation and Bivariate Local Spatial Correlation. The variables tested were the percentage of forest cover, percentage of constructed area and value in reais of per capita income per neighborhood. The city of Recife presented a coverage of 1% of agricultural and aquaculture activities, 4.5% of water, 2.6% without vegetation cover, 2.5% of wetland, 49.6% of constructed area, 37.6 % Forest Cover and 2.1% Herbaceous Vegetation. The Moran Index for univariate global spatial autocorrelation was 0.339, 0.476 and 0.243 for built area, forest cover and income, respectively. For the univariate local spatial autocorrelation, a significant cluster of HH Built Area in the north and central-north regions was observed, representing 31% of the neighborhoods of Recife, a cluster LL (39%) formed by neighborhoods with very low forest cover, and for Income per capita, there is a pattern of concentration in the central-north area of the city (HH cluster), surrounded by LH clusters and existence of LL clusters in the northwest, southwest and south areas (peripheries). Moran's indices for the bivariate global spatial correlation were: Forest Cover x Income (-0.119); Forest cover x Constructed Area (-0.334); Income x Built area (0.100). For the bivariate local spatial correlation, significant clusters were found for: Forest cover x Income (28% LH cluster in the central-north region of the city); Forest cover x Built area (29% LH cluster, in the central-north and north regions); Income x Built Area (22% LH cluster in the northern region). Overall, there was a negative correlation between forest and income, forest and built-up area and a positive correlation between income and built-up area, reflecting a spatial pattern that favors low-income populations in terms of proximity to forest cover, but this favoring is mainly due to the existence of remnants forests that along the historical process of urbanization of the city were being moved to the peripheral regions.Item Caracterização estrutural e condições ecofisiológicas de fragmento urbano de Floresta Atlântica usando VANT e imagem de satélite(2021-12-10) Silva, Luiz Henrique Gonçalves da; Pimentel, Rejane Magalhães de Mendonça; http://lattes.cnpq.br/6974715752532263; http://lattes.cnpq.br/0137369300045818Over the years, the Atlantic Forest vegetation has been subjected to a progressive suppression process, mainly by anthropogenic measures, directly modifying the surface and causing irreparable damage to the biodiversity of this highly important social, economic and environmental ecosystem complex. In addition, these anthropic interventions further increase the fragmentation process, which searches for knowledge regarding the ecophysiological condition of fragments of this vegetation, which are under the direct influence of anthropic effects, more relevant. Currently, a viable methodology to assess such conditions is analyses that use geoprocessing and remote sensing, which uses techniques that allow obtaining information about targets on the soil surface, assessing its spatial dynamics, estimating the height of structures, and analyzing land use and cover. Furthermore, through the Vegetation Indexes, it is possible to assess the ecophysiological condition of those being registered. Thus, the study aimed to characterize a structure and an ecophysiological condition of the vegetation of an urban fragment of the Atlantic Forest. A Unmanned Aerial Vehicles (UAV) flight was carried out over a Fragment of Dense Ombrophilous Forest in the Lowlands located in Recife - PE. These images classified the land use and cover; they estimated the number of Individuals in the Area and their Height. After that, high-resolution satellite images were slid to calculate the Normalized Difference Vegetation Index (NDVI) and the Green Chlorophyll Index (GCI). It was identified 482 non-study forest fragments, submitted to a different level of anthropization,similar to other areas of the same phytogeographic domain, oscilating between 5.14m and 33.46m height. The NDVI of the area ranged between -0.21 and 0.93, and all places where arboreal trees were identified, through photogrammetry analysis, mean ND values greater than 0.6, indicating that they are physiologically healthy. The GCI values at the points where arboreal trees were identified were above 2.37 g/m², and the highest values for this index were found in the most centralized region of the fragment under study. The value found was higher than that measured in crops. This study showed that photogrammetry is a viable method to measure the height of wanting trees, mainly due to the quality of the provided images. Moreover, the evaluation through the Vegetation Indices indicates that this vegetation is physiologically healthy and has a chlorophyll content (g/m²) estimated by the GCI, superior to homogeneous plantations of crops.Item 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