186 resultados para planted forest
Resumo:
The phytosociological structure was studied in an area of semideciduous mesophytic forest lied on the ascent of the Cuesta of Botucatu. Once the relief of the area was very heterogeneous, the forest, for the sampling process, was divided in three sampling regions: the upper one (on the plateau), the middle one (on the ascent properly said) and the lower one (on the plain). Through the point-centered method, 1224 (408 in each region) trees were sampled. For this work, only the trees with shaft equal or higher than 1.30m high were considered. The three sampling regions showed some interesting differences in regard to the phytosociologic structure. Once there are differences among the soil of the three regions, the variations in the structure must be connected to the differences in the soil.
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Results are given of a phytosociological study of a forest located in the Morro do Diabo State Park. in the county of Teodoro Sampaio (22 degrees 31'S, 52 degrees 10'W), Pontal do Paranapanema region, state of São Paulo. The point-centered quarter method, using 300 sampling points, was used establishing 3 trails of 100 sampling points each, 10 m interdistant. All woody vegetation with a breast height diameter of 5 cm or more were samplied. Three distinct ecotopes could be identified in the forest: the lower, thc slope and the peak, which were analised separately.The families that presented the greatest numbers of genera, species and individuals were Leguminosae, Euphorbiaceae and Myrtaceae, followed by Rutaceae, Lauraceae, Meliaceae and Moracea. A total of 104 species, 85 genera and 37 families were sampled by the phytosociological survey. The relative sociological position of each plant family or species varied according to ecotope.
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Neohelice granulata ecological distribution was evaluated in its northernmost latitudinal occurrence in a Brazilian tropical mangrove (23[degree]13'4" S, 44[degree]42'47" W). Samples were collected in three sites along the main river in the mangrove. Crabs were manually captured by two people, 15 min each, at low tide periods. The sex of the animals was assessed and carapace width measured. The size-frequency distribution was determined in each site. Environmental factors (salinity, temperature, organic matter and sediment texture) were analyzed, compared among sites and related to crab abundance and size in each site. Crab abundance decreased with the distance from the sea. Juvenile crabs were more frequent next to the sea, whereas larger and ovigerous ones were mainly found in the most distant site. Crab size was proportional to the organic matter percentage in the sediment. N. granulata spatial distribution varies along the river course, which is probably related to the most productive areas that have more nutrients available; this may also occur in order to prevent intraspecific competition.
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Patterns of nest construction and nest site selection of two murid rodents of the Brazilian Atlantic rainforest were described. The animals were captured in an area of about 1.5 ha of primary forest, marked, equipped with a spool-and-line device and released at the capture point. The next day we followed the thread to find their nests. In total 11 nests of Nectomys squamipes (Brants, 1827) and 13 of Oryzomys intermedius (Leche, 1886) were found. They were all egg-shaped, about 15 cm long and 10 cm wide, without any apparent entrance and consisted of dry leaves and grass. The two species differed in the selection of nest sites. The nests of N. squamipes were close to streams and built inside decomposed fallen logs or using natural entrances between the soil and tangled roots or rocky crevices. Nests of O. intermedius were built under or inside fallen logs and inside aerial root systems of palms. The spool-and-line technique used here is useful to provide detailed information on several aspects of the ecology and natural history of small mammals.
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This paper addresses biometric identification using large databases, in particular, iris databases. In such applications, it is critical to have low response time, while maintaining an acceptable recognition rate. Thus, the trade-off between speed and accuracy must be evaluated for processing and recognition parts of an identification system. In this paper, a graph-based framework for pattern recognition, called Optimum-Path Forest (OPF), is utilized as a classifier in a pre-developed iris recognition system. The aim of this paper is to verify the effectiveness of OPF in the field of iris recognition, and its performance for various scale iris databases. The existing Gauss-Laguerre Wavelet based coding scheme is used for iris encoding. The performance of the OPF and two other - Hamming and Bayesian - classifiers, is compared using small, medium, and large-scale databases. Such a comparison shows that the OPF has faster response for large-scale databases, thus performing better than the more accurate, but slower, classifiers.