491 resultados para Cerrado savanna

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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Plant phenology has gained importance in the context of global change research, stimulating the development of new technologies for phenological observation. Digital cameras have been successfully used as multi-channel imaging sensors, providing measures of leaf color change information (RGB channels), or leafing phenological changes in plants. We monitored leaf-changing patterns of a cerrado-savanna vegetation by taken daily digital images. We extract RGB channels from digital images and correlated with phenological changes. Our first goals were: (1) to test if the color change information is able to characterize the phenological pattern of a group of species; and (2) to test if individuals from the same functional group may be automatically identified using digital images. In this paper, we present a machine learning approach to detect phenological patterns in the digital images. Our preliminary results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; and (2) different plant species present a different behavior with respect to the color change information. Based on those results, we suggest that individuals from the same functional group might be identified using digital images, and introduce a new tool to help phenology experts in the species identification and location on-the-ground. ©2012 IEEE.

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Plant phenology is one of the most reliable indicators of species responses to global climate change, motivating the development of new technologies for phenological monitoring. Digital cameras or near remote systems have been efficiently applied as multi-channel imaging sensors, where leaf color information is extracted from the RGB (Red, Green, and Blue) color channels, and the changes in green levels are used to infer leafing patterns of plant species. In this scenario, texture information is a great ally for image analysis that has been little used in phenology studies. We monitored leaf-changing patterns of Cerrado savanna vegetation by taking daily digital images. We extract RGB channels from the digital images and correlate them with phenological changes. Additionally, we benefit from the inclusion of textural metrics for quantifying spatial heterogeneity. Our first goals are: (1) to test if color change information is able to characterize the phenological pattern of a group of species; (2) to test if the temporal variation in image texture is useful to distinguish plant species; and (3) to test if individuals from the same species may be automatically identified using digital images. In this paper, we present a machine learning approach based on multiscale classifiers to detect phenological patterns in the digital images. Our results indicate that: (1) extreme hours (morning and afternoon) are the best for identifying plant species; (2) different plant species present a different behavior with respect to the color change information; and (3) texture variation along temporal images is promising information for capturing phenological patterns. Based on those results, we suggest that individuals from the same species and functional group might be identified using digital images, and introduce a new tool to help phenology experts in the identification of new individuals from the same species in the image and their location on the ground. © 2013 Elsevier B.V. All rights reserved.

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Communication contributes to mediate the interactions between plants and the animals that disperse their genes. As yet, seasonal patterns in plant-animal communication are unknown, even though many habitats display pronounced seasonality e.g. when leaves senescence. We thus hypothesized that the contrast between fruit displays and their background vary throughout the year in a seasonal habitat. If this variation is adaptive, we predicted higher contrasts between fruits and foliage during the fruiting season in a cerrado-savanna vegetation, southeastern Brazil. Based on a six-year data base of fruit ripening and a one-year data set of fruit biomass, we used reflectance measurements and contrast analysis to show that fruits with distinct colors differed in the beginning of ripening and the peak of fruit biomass. Black, and particularly red fruits, that have a high contrast against the leaf background, were highly seasonal, peaking in the wet season. Multicolored and yellow fruits were less seasonal, not limited to one season, with a bimodal pattern for yellow ones, represented by two peaks, one in each season. We further supported the hypothesis that seasonal changes in fruit contrasts can be adaptive because fruits contrasted more strongly against their own foliage in the wet season, when most fruits are ripe. Hence, the seasonal variation in fruit colors observed in the cerrado-savanna may be, at least partly, explicable as an adaptation to ensure high conspicuousness to seed dispersers. © 2013 The Authors.

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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

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A resistência mecânica à penetração do solo exerce grande influência sobre o crescimento e desenvolvimento vegetal, uma vez que o crescimento das raízes e o rendimento das culturas variam de forma inversamente proporcional ao seu valor. Por outro lado, a matéria orgânica e o pH do solo também são atributos relevantes ao crescimento das plantas, pois estão diretamente ligados à disponibilidade de nutrientes do solo. No ano agrícola 2005/2006, na Fazenda Experimental de Ensino e Pesquisa da Faculdade de Engenharia/UNESP, município de Selvíria, MS (22 º 23 ' de latitude S; 51 º 27 ' de longitude W), em um cultivo de Eucalyptus camaldulensis, foram analisados: (a) características dendrométricas da planta: volume de madeira (VOL), perímetro à altura do peito (PAP) e altura (ALT); e (b) atributos do solo em profundidade: resistência mecânica à penetração (RP), umidade gravimétrica (UG), matéria orgânica (MO) e o pH, num Latossolo Vermelho distrófico do Cerrado brasileiro. O objetivo foi estudar as correlações lineares e espaciais entre essas variáveis, buscando determinar indicadores de qualidade do solo para o eucalipto. Dados do solo e da planta foram coletados em uma malha geoestatística com 122 pontos amostrais, numa área de 1,98 ha. Os atributos da planta apresentaram média e alta variabilidade dos dados, ao passo que os do solo mostraram variabilidade baixa, média e alta. Os atributos VOL, PAP, ALT, RP, UG, MO e o pH não variaram aleatoriamente, seguindo padrões espaciais bem definidos, com alcances entre 17 e 169 m. As correlações lineares simples entre as características da planta e os atributos do solo foram baixas, porém significativas entre os pares VOL vs RP1, VOL vs RP5, VOL vs MO2 e VOL vs pH1. do ponto de vista espacial, ocorreu significativa variação inversa do VOL com a RP5 e o pH1. O pH do solo, amostrado de 0-0,15 m de profundidade, quando destinado à estimativa da produtividade de madeira do Eucalyptus camaldulensis, apresentou-se como potente indicador da qualidade do solo estudado de Selvíria.

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Oeceoclades aculate (Lindl.) Lindl., an invasive orchid, was analyzed as to its reproductive phenology and spatial distribution, correlation between abundance of mature and immature individuals, and verifying these with microclimate patterns in the Cerrado (savanna-like vegetation) of Mogi Guacu, Sao Paulo State, Brazil. For the reproductive phenology 100 plants were followed and the distribution pattern was identified by the Morisita Index (MI) and the Variance Ratio/Average (R) in 20 plots of 20x10m, reduced to 10x10m afterwards. The phenology presented seasonality, with flowering from November to February, fructification from February to June, and dehiscence from June to July. Mature and immature individuals aggregated and correlated to each other, indicating dependence between the ontogenetic stages. The luminosity was the preponderant microclimatic factor in the allocation of plants. Seasonal climatic changes and intensity of anthropogenic disturbances seem to be more important for the establishment of the species than microclimate.

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EICHEMBERG, M. T. and V. L. SCATENA (Universidade Estadual Paulista, Departamento de Botanica, Rio Claro, São Paulo, Brazil). J. Torrey Bot. Soc. 138:34-40. 2011.-Handicrafts from Jalapao (TO), Brazil, and their Relationship to Plant Anatomy. In the state of Tocantins, midwestern Brazil, communities from the region of Jalapao use scapes of "capim dourado" (golden grass - Syngonanthus nitens- Eriocaulaceae) and leaves of "buriti" (Mauritia flexuosa - Arecaceae) to make handicrafts (baskets and ornaments). The predominant biome of this area is cerrado (savanna), with a notable presence of buriti in the "veredas" (swampy forest-like vegetation), and of golden grass, which is one of the most common plants in humid grasslands. These traditional handicrafts represent a significant source of income for local communities. The whole scapes of Syngonanthus nitens are used due to their golden color, which is a reflection of such internal structures as thick walled cells and lignin in the epidermis and cortex. The strips called "seda" (silk) used to sew the scapes in the making of handicrafts come from young leaves of Mauritia,flexuosa. They are constituted by the adaxial epidermis and bundles of subepidermic fibers, both showing thick-walled cells. Since the cells of the bundles of sclerenchymatic fibers from the abaxial surface of buriti leaves present stegmata containing silica bodies, their mechanical properties are less adapted to the production of "silk", justifying the use of the leaf adaxial surface. Anatomical characteristics such as the thickening and composition of the cell walls of both species together with sociocultural factors, allow a better knowledge of the use of plant structures in the making of handicrafts.

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O macaco-prego, Cebus apella, é muito difundido no norte e sul da Amazônia Legal Brasileira e no Cerrado. Estes animais encontram-se rotineiramente submetidos à caça predatória, aumentando assim a necessidade de preservação desta espécie silvestre. Realizou-se um estudo ultra-sonográfico de 10 macacos-prego como forma de descrever a anatomia ultra-sonográfica normal de sua cavidade abdominal. A vesícula urinária apresentou parede com espessura média 0,2cm e em posição anatômica cuja topografia permitiu contato com as paredes do corpo do útero e cólon descendente. À varredura abdominal caudal foi visualizada a aorta, veia cava caudal e veia ilíaca direita. O fígado foi visto em varredura sagital e transversal, possibilitando a observação da vesícula biliar e vasos hepáticos. A varredura renal demonstrou com precisão a pelve, seio renal e relação cortico-medular. O comprimento médio de ambos os rins foi de 6,24±0,31cm, não existindo diferença estatística entre o rim direito e esquerdo (Teste t de Student e ANOVA). O volume renal foi 2,37±0,18cm³. Os coeficientes de Correlação de Pearson entre os comprimentos renais direito e esquerdo e entre volumes renais direito e esquerdo foram dispostos como r = 0,74 e 0,51. As espessuras médias para a região cortical e medular foram 0,75±0,11cm e 0,39±0,06cm, respectivamente. O coeficiente de correlação para a relação cortico-medular entre os rins direito e esquerdo foi de r = 0,19. O exame ultrasonográfico mostrou-se como uma técnica eficiente, nãoinvasiva, rápida e reprodutível, que provê dados importantes aos profissionais da área de clínica e cirurgia de animais silvestres.

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