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989 results for “Minas Gerais”
Figure 3 in Odonate Communities of the Sucupira Reservoir, Rio Uberabinha, Minas Gerais, Brazil
Figure 3. Odonate species rarefaction curve and the number of species estimated by the Chao 1 estimator during the rainy and dry seasons in the study area in Uberlândia, Minas Gerais.
Figure 2 in Odonate Communities of the Sucupira Reservoir, Rio Uberabinha, Minas Gerais, Brazil
Figure 2. Odonate species sampled in the study area. (A) Aphylla distinguenda – Male (Gomphidae), (B) Oligoclada stenoptera – Male (Libellulidae), (C) Orthemis discolor – Male (Libellulidae), (D) Orthemis aequilibris – Female (Libellulidae), (E) Phyllocycla gladiata – Male (Gomphidae), (F) Idiataphe longipes – Young male (Libellulidae), (G) Tigriagrion aurantinigrum – Female (Coenagrionidae), (H) Hetaerina rosea – Female (Calopterygidae) and (I) Acanthagrion gracile – Male (Coenagrionidae).
Figure 1 in Odonate Communities of the Sucupira Reservoir, Rio Uberabinha, Minas Gerais, Brazil
Figure 1. Map of the study area showing the collection sections/transects (T1, T2, T3, T4) and the watercourse of Rio Uberabinha, Uberlândia, Minas Gerais.
Figure 1 in Butterfly fauna (Lepidoptera, Papilionoidea) in a heterogeneous area between two biodiversity hotspots in Minas Gerais, Brazil
Figure 1. Location of the study site, the 'Serra do Rola-Moça' State Park (PESRM), in Minas Gerais state, Brazil.
Figure 5 in Butterfly fauna (Lepidoptera, Papilionoidea) in a heterogeneous area between two biodiversity hotspots in Minas Gerais, Brazil
Figure 5. Non-metric multidimensional scaling (NMDS) of the butterfly species composition in sampling sites of Cerrado domain, Atlantic Rainforest and Forest-Cerrado transition areas, in the 'Serra do Rola-Moça' State Park, Minas Gerais state, Brazil.
Figure 4 in Butterfly fauna (Lepidoptera, Papilionoidea) in a heterogeneous area between two biodiversity hotspots in Minas Gerais, Brazil
Figure 4. Sample coverage of species richness in rainy and dry seasons, in the 'Serra do Rola-Moça' State Park, Minas Gerais state, Brazil.
Figure 2 in Butterfly fauna (Lepidoptera, Papilionoidea) in a heterogeneous area between two biodiversity hotspots in Minas Gerais, Brazil
Figure 2. Sample coverage of species richness in rainy season, in the'Serra do Rola-Moça' State Park, Minas Gerais state, Brazil.
Figure 3 in Butterfly fauna (Lepidoptera, Papilionoidea) in a heterogeneous area between two biodiversity hotspots in Minas Gerais, Brazil
Figure 3. Sample coverage of species richness in dry season, in the 'Serra do Rola-Moça' State Park, Minas Gerais state, Brazil.
Figure 4 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 4. Male specimens of Celeus ochraceus (MCNA 5057) from the study area (above) and Celeus flavescens (MCNA 552) from Fazenda Canabrava, Augusto de Lima, Minas Gerais (below).
Figure 6 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 6. From left to right: specimens of Lepidocolaptes squamatus from Pedra Bonita, Minas Gerais (MCNA 4079), Morro do Pilar, Minas Gerais (MCNA 4480); and specimens of Lepidocolaptes cf. squamatus from Curral de Pedras, Minas Gerais (MCNA 4978, MCNA 5237) in frontal (A) and ventral (B) views.
Figure 3 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 3. Tails of three female specimens of Campylopterus calcirupicola (from left to right: MCNA 4977, MCNA 5050, MCNA 5190) from Curral de Pedras, Minas Gerais, Brazil.
Figure 2 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 2. Species rarefaction curve (continuous line) and estimation curve using the Chao1 estimator (dashed line) for the avifauna of Curral de Pedras, Minas Gerais, southeastern Brazil, using 226 MacKinnon lists.
Figure 5 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 5. From left to right: specimens of Sittasomus griseicapillus sylviellus from Santa Teresa, Espírito Santo (DZUFMG 630), Mariana, Minas Gerais (MCNA 1406), Santa Bárbara, Minas Gerais (MCNA 4147), Curral de Pedras, Minas Gerais (MCNA 4970, MCNA 4981, MCNA 5052); and specimens of Sittasomus griseicapillus reiseri from Janaúba, Minas Gerais (DZUFMG 3428), and Riacho dos Machados, Minas Gerais (MCNA 2523).
Figure 7 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 7. From left to right: specimens of Xiphocolaptes albicollis albicollis fromTrês Rios, Rio de Janeiro (MCNA 2061); intermediate specimens between X. a. bahiae and X. a. albicollis from Conceição do Mato Dentro, Minas Gerais (MCNA 2903) and Mariana, Minas Gerais (DZUFMG 6536); and specimens of X. a. bahiae from Curral de Pedras, Minas Gerais (MCNA 5203, MCNA 5204) in lateral (A) and dorsal (B) views.
Figure 1 in First avifaunal survey of a Cerrado dry forest enclave on the right bank of the São Francisco River, Minas Gerais, Brazil, with insights on geographic variation of some species
Figure 1. Map of the study area in South America (black dot) in the Cerrado biogeographic province and its position in relation to the Caatinga and the Chaco biogeographic provinces (A); detail of the study area at Curral de Pedras with tracks of the sampled trails (white lines) (B).
Fig. 3. Parotocinclus arandai, 37.7 in Parotocinclus arandai, a new species of hypoptopomatine catfish (Siluriformes: Loricariidae) from the upper rios Jucuruçu and Buranhém, States of Bahia and Minas Gerais, Brazil
Fig. 3. Parotocinclus arandai, 37.7 mm SL, specimen photographed in the field.
Figure 1 in Odonata (Insecta) community in the Environmental Protection Area of the Machado River hydrographic basin, southern Minas Gerais State, Brazil
Figure 1. Location maps of the Environmental Protection Area of the Machado River hydrographic basin and sampling points. Source: Jean Victor Nery da Silva.
Figure 3 in Odonata (Insecta) community in the Environmental Protection Area of the Machado River hydrographic basin, southern Minas Gerais State, Brazil
Figure 3. Odonata species sampled in the Environmental Protection Area of the Machado River hydrographic basin: (A) Erythrodiplax media Borror, 1942; (B) Erythrodiplax paraguayensis (Förster, 1905); (C) Tholymis citrina Hagen, 1867; (D) Miathyria marcella (Selys in Sagra, 1857); (E) Hetaerina longipes Hagen in Selys, 1853; (F) Homeoura lindneri (Ris, 1928); (G) Telebasis willinki Fraser, 1948; and (H) Argia mollis Hagen in Selys, 1865.
Figure 2 in Odonata (Insecta) community in the Environmental Protection Area of the Machado River hydrographic basin, southern Minas Gerais State, Brazil
Figure 2. (A) Semideciduous and (B) riparian forests associated with (C) lotic and (D) lentic environments in the Environmental Protection Area of the Machado River hydrographic basin, southern Minas Gerais State.
Spatial Modeling of Groundwater Potential in the North of Minas Gerais, Brazil: An Integrated Approach Using Machine Learning and Environmental Data
<p>This database is associated with the article published in the Revista Brasileira de Cartografia (RBC), entitled: Spatial Modeling of Groundwater Potential in the North of Minas Gerais, Brazil: An Integrated Approach Using Machine Learning and Environmental Data. This database contains the Groundwater flow rasters and the covariates used in spatial modeling. This database is associated with the article published in the Revista Brasileira de Cartografia (RBC), entitled: Spatial Modeling of Groundwater Potential in the North of Minas Gerais, Brazil: An Integrated Approach Using Machine Learning and Environmental Data. This database contains the Groundwater flow rasters and the covariates used in spatial modeling.</p>
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