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638 results for “biomes”
FIGURE 7. Sisyrinchium iguazuanum C.D in Exploring Sisyrinchium (Iridaceae) diversity in the Atlantic Forest Biome: three new species in S. sect. Viperella
FIGURE 7. Sisyrinchium iguazuanum C.D.Inácio, L.Eggers & Chauveau. A. Habit. B. Collected plant with open flowers in a small black plastic bag. C. Flower in frontal view. D. Flower in lateral view. From L. Eggers & T.T. Souza-Chies 612 (ICN) (A) and L. Eggers & T.T. Souza-Chies 383 (ICN) (B, C, D).
FIGURE 2. Sisyrinchium caratuvense C.D in Exploring Sisyrinchium (Iridaceae) diversity in the Atlantic Forest Biome: three new species in S. sect. Viperella
FIGURE 2. Sisyrinchium caratuvense C.D.Inácio & E.D.Lozano. A. Habit. B. Flowering stems. C. Inflorescence with flower and fruit. D. Spathe valves of unequal size (blue arrows). E. Flower in frontal view. F. General view of the species habitat, Paraná, Brazil. From E.D. Lozano et al. 4314 (MBM).
FIGURE 1 in Exploring Sisyrinchium (Iridaceae) diversity in the Atlantic Forest Biome: three new species in S. sect. Viperella
FIGURE 1. Habit of Sisyrinchium caratuvense C.D.Inácio & E.D.Lozano. From E.D. Lozano et al. 4314 (ICN). Drawing by Rafaella Marchioretto.
FIGURE 4 in Exploring Sisyrinchium (Iridaceae) diversity in the Atlantic Forest Biome: three new species in S. sect. Viperella
FIGURE 4. Habit of Sisyrinchium usneoides C.D.Inácio & K.Antunes. From P.L. Krieger & C. Urbano 9020 (SPF). Drawing by Rafaella Marchioretto.
FIGURE 5. Sisyrinchium usneoides C.D in Exploring Sisyrinchium (Iridaceae) diversity in the Atlantic Forest Biome: three new species in S. sect. Viperella
FIGURE 5. Sisyrinchium usneoides C.D.Inácio & K.Antunes. A–B. Stem with flowers and fruits. C. Flower in frontal view. D. Fruits. E. Individuals of S. usneoides (yellow arrows) in a grassland with Xyris sp. (blue arrows). F. Habitat in campo rupestre, Minas Gerais, Brazil. From K. Antunes et al. 931 (CESJ).
FIGURA 6 in Exploring Sisyrinchium (Iridaceae) diversity in the Atlantic Forest Biome: three new species in S. sect. Viperella
FIGURA 6. Habit of Sisyrinchium iguazuanum C.D.Inácio, L.Eggers & Chauveau. From L. Eggers & T.T. Souza-Chies 612 (ICN). Drawing by Anelise Scherer.
Distribution. Known only from two distant sites: type locality in W Ethiopia; and NE Nigeria (Numan, Adamawa State). May be widespread across Sudan Savanna Biome. in Vespertilionidae
Distribution. Known only from two distant sites: type locality in W Ethiopia; and NE Nigeria (Numan, Adamawa State). May be widespread across Sudan Savanna Biome.
Distribution. NE & SE Brazil, Atlantic Forest biome In the states of Bahia, Rio de Janeiro, Sao Paulo, and probably Espirito Santo. in Phyllostomidae
Distribution. NE & SE Brazil, Atlantic Forest biome In the states of Bahia, Rio de Janeiro, Sao Paulo, and probably Espirito Santo.
Distribution. Amazonian lowlands of E Brazil S of the Amazon River, extending S to the cerrado biome in EC Brazil, primarily in the Rio Tapajos, Rio Xingu, and Rio Tocantins-Araguaia fluvial systems of Para, Maranhao, Tocantins, Minas Gerais, Goias, and Mato Grosso states. in Echimyidae
Distribution. Amazonian lowlands of E Brazil S of the Amazon River, extending S to the cerrado biome in EC Brazil, primarily in the Rio Tapajos, Rio Xingu, and Rio Tocantins-Araguaia fluvial systems of Para, Maranhao, Tocantins, Minas Gerais, Goias, and Mato Grosso states.
Data from: A phylogenetic study to assess the link between biome specialisation and diversification in swallowtail butterflies
<p><span>The resource-use hypothesis, proposed by E.S. Vrba, states that habitat fragmentation caused by climatic oscillations would affect particularly biome specialists (species inhabiting only one biome), which might show higher speciation and extinction rates than biome generalists. If true, lineages would accumulate biome-specialist species. This effect would be particularly exacerbated for biomes located at the periphery of the global climatic conditions, namely, biomes that have high/low precipitation and high/low temperature such as rainforest (warm-humid), desert (warm-dry), steppe (cold-dry), and tundra (cold-humid). Here, we test these hypotheses in swallowtail butterflies, a clade with more than 570 species, covering all the continents but Antarctica, and all climatic conditions. Swallowtail butterflies are among the most studied insects, and they are a model group for evolutionary biology and ecology studies. Continental macroecological rules are normally tested using vertebrates, this means that there are fewer examples exploring terrestrial invertebrate patterns at global scale. Here, we compiled a large GIS database on swallowtail butterflies' distribution maps and used the most complete time-calibrated phylogeny to quantify diversification rates. In this paper we aim to answer the following questions: 1) Are there more biome-specialists swallowtail butterflies than biome-generalists? 2) Is diversification rate related to biome specialisation? 3) If so, do swallowtail butterflies inhabiting extreme biomes show higher diversification rates? 4) What is the effect of species distribution area? Our results showed that swallowtail family presents a great number of biome specialists which showed substantially higher diversification rates compared to generalists. We also found that biome-specialists are unevenly distributed across biomes. Overall, our results are consistent with the resource-use hypothesis., species climatic niche and biome fragmentation as key factors promoting isolation.</span></p>
Distribution. Occurs throughout the semi-arid Succulent Karoo and Nama Karoo biomes within parts of Northern Cape, Western Cape, and Eastern Cape provinces, South Africa. in Muridae
Distribution. Occurs throughout the semi-arid Succulent Karoo and Nama Karoo biomes within parts of Northern Cape, Western Cape, and Eastern Cape provinces, South Africa.
The main variables (soil moisture, net biome production and so on) of two experiments (CTRL and EXP) with the ORCHIDEE-MICT terrestrial biosphere model
<p class="MsoNormal"><span>Multiple linear regression (MLR) is widely used to attribute causes of the interannual variability (IAV) of land carbon uptake, yet, parameter estimation in MLR can be problematic if the predictors are strongly inter-correlated. Recently, Humphrey et al., (2021) used MLR method to conclude that the indirect effect of soil moisture (SM) via land-atmosphere coupling, rather than the direct effect of SM on photosynthesis and respiration, controls the IAV of NBP. Here we assess the validity of MLR as used by Humphrey et al. (2021) by comparing the true contribution of SM in a terrestrial biosphere model, derived from the difference between a control run (CTRL) and an experiment with prescribed climatological SM (EXP), with the MLR method applied to the CTRL outputs.</span></p> <p class="MsoNormal"><span><span>We ran two experiments (CTRL and EXP) with the ORCHIDEE-MICT</span><span> terrestrial biosphere model at 2º spatial resolution. The control (CTRL) run followed the protocol of "S3" experiment of TRENDY-v6</span><span>, forced by CRUNCEP-v8 climate forcing, increasing atmospheric CO<sub>2</sub> concentration, and varying land use maps. </span>Monthly outputs for the period 1960-2005 were used for analysis. For the EXP run, <a name="_Hlk107926231"></a>to remove the interannual variability (IAV) of soil moisture (SM) while keeping its seasonal cycle, a climatological monthly SM averaged for the years 1960-2005 simulated by the CTRL run was prescribed in the model. Note that the intrinsic time-step of hydrology and photosynthesis in ORCHIDEE-MICT is half-hourly, thus SM within the same month took the same monthly mean value. Other configurations in the EXP run were identical to the CTRL run. </span></p>
FIGURE 23 in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 23. Proekes cephaleus (Naudé, 1926), male, line drawings in Theron 1975 and additional drawings. A–I, Theron, 1975. A, head dorsally. B, head, laterally. C, pygofer lobe and anal tube, laterally. D, subgenital plate, in part, ventrally. E, aedeagus, laterally. F, aedeagus, anteriorly. G, style, dorsally. H, connective. I, tegmina. J–U, additional drawings. J, genital capsule, dorsally. K, subgenital plate and valve, ventrally. L–Q, aedeagus. L, laterally, Hawekwa specimen. M, laterally, Fisantekraal specimen. N, anteriorly, Fisantekraal specimen. O–Q, laterally, anteriorly, posteriorly, Verlorenvlei specimen. R, genital capsule, laterally, Fisantekraal specimen. S, pygofer lobe, laterally, Fisantekraal specimen. T, hind wing, male, Fisantekraal specimen. U, tegmina, male, Fisantekraal specimen.
FIGURE 32. Potential natural distribution models, Proekoides species. A, P. cedarbergensis Stiller, 1986. B, P. koebergis Stiller, 1986. C in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 32. Potential natural distribution models, Proekoides species. A, P. cedarbergensis Stiller, 1986. B, P. koebergis Stiller, 1986. C, Proekoides species merged in one model.
FIGURE 26 in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 26. Proekes hemiplatyphalis sp. n., line drawings, male. A, aedeagus, laterally, posterior paired tooth. B, aedeagus, anteriorly. C, aedeagus, laterally, edentate posterior margin. D, aedeagus, anteriorly. E, style, dorsally. F, connective.
FIGURE 25 in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 25. Proekes cephaleus (Naudé, 1926), images of parts of the ovipositor. A, valvula 2, apex, sculpture. B, valvula 2, pores, weak sculpture. C, valvula 2, pores, distinct sculpture. D, valvula 2, subapex, laterally. E, valvula 2, subapex, dorsolaterally, specimen from Fisantekraal. F, valvula 1, subapex, imbricate sculpture. valvula 2, subapex, laterally. G, valvula 1, midsection, imbricate sculpture. H, valvifer 2, sculpture, left. I, valvifer 2, sculpture, right. A–G, scale=0.05 mm.
FIGURE 18 in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 18. Proekoides postspina sp. n., line drawings, female. A, sternite 7. B, valvifer 1, laterally. C, valvifer 1, dorsally. D, valvifer 2, laterally. E, valvifer 2, apex, sculpture. F, valvula 1. G, valvula 2. H, valvula 3, apex, setation. I, valvula 2, apex, sculpture. J, valvula 2, subapex, sculpture. K, valvula 1, apex, sculpture. L, valvula 1, subapex, sculpture. M, tegmina. N, hind wing.
FIGURE 12 in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 12. Colistra bucapitatus sp. n., line drawings, female. A–C, sternite 7. A, Silvermine specimen. B, Stanford specimen. C, Papkuilsvlei specimen. D, valvifer 1, Stellenbosch specimen. E, valvifer 1, Silvermine specimen. F, valvifer 2, Silvermine specimen. G, valvifer 2, apical sculpture. H, valvula 1. I, valvula 2. J, valvula 3. K, valvula 3, apical setae. L, valvula 1, sculpture, apex. M, valvula 1, sculpture, midsection. N, valvula 1, sculpture, base. O, valvula 2, sculpture, apex. P, tegmina. Q, hind wing.
FIGURE 15 in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 15. Proekoides species, habitus views, dorsally, face and sternite 7. A, B, Proekoides sp. A, male, Wiedouw specimen. B, female, Groenkol specimen. C–E, Proekoides postspina sp. n., C, male, Dwarsrivier specimen, marking at apex of crown with gap. D, male, Dwarsrivier specimen, marking at apex of crown solid. E, female, Dwarsrivier specimen. F, Proekoides sp., male, Dwarsrivier specimen. G–I, P. cedarbergensis Stiller, 1986, G, female, Clanwilliam specimen. H, male, Clanwilliam specimen. I, male, dark marking, Clanwilliam specimen. J, P. hawekwae Stiller, 1986, male. K, P. koebergis Stiller, 1986, female, Koeberg specimen. L, P. piketensis Stiller 1986, female, Piketberg specimen. M, nymph, Du Toits Kloof specimen. N, P. piketensis Stiller, 1986, sternite 7. O, P. postspina sp. n., sternite 7. P, P. postspina sp. n., face. A–C, M, scale=1 mm.
FIGURE 11 in Leafhoppers of the Fynbos Biome of South Africa: Colistra, Proekes, Proekoides and a new genus (Insecta, Hemiptera, Cicadellidae, Deltocephalinae, Bonaspeiini)
FIGURE 11. Colistra bucapitatus sp. n., line drawings, male. A, genital capsule, dorsally. B, genital capsule, laterally. C, subgenital plate. D, pygofer lobe laterally. E, connective, a–b, width across stem, c–d, width across arms, e, length stem, f, length arms. F, connective, Cedarberg specimen. G–K, aedeagus laterally. G, Papkuilsvlei specimen. H, Natures Valley specimen. I, Keurboom specimen. J, Caledon specimen. K, Remhoogte specimen. L, style, a, apophysis length, sagittal plane, a–b, midsection, b–c, basal length, d–e, angle of apophysis. M, tegmina. N, hind wing.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.