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662 results for “Savanna”
A deep learning dataset for savanna tree species in Northern Australia
<p>We present a baseline deep learning dataset of 2547 polygons for 36 tree species in Northern Australia. Polygons were drawn on imagery that was collected using Remotely Piloted Aircraft System (RPAS). The dataset consists of:</p> <ul> <li>7 orthomosaics </li> <li>7 shape files with polygon annotations </li> <li>1 training dataset in COCO format</li> <li>1 validation dataset in COCO format</li> </ul> <p>Training and validation datasets were derived from the orthomosaics by tiling each image at 1024x1024 pixel size with 512 pixel step size (overlap). </p> <p>To perform deep learning model training with this dataset go to https://github.com/ajansenn/SavannaTreeAI for more information. </p>
Livestock management promotes bush encroachment in savanna systems by altering plant-herbivore feedback
<p>This repository contains all code to reproduce the analysis in Koch et al. 2022 "Livestock management promotes bush encroachment in savanna systems by altering plant-herbivore feedback".</p> <p>We use a set of coupled differential equations to describe competition between shrubs and grasses, as well as plant biomass consumption via grazing and browsing. Grazers were assumed to receive a certain level of care from farmers, so that grazer densities emerge dynamically from the combined effect of vegetation abundance and farmer<br>support. Our main goal was to understand how critical transitions from grass-dominated to shrub-dominated system states were affected by the dynamic role of grazing.</p> <p>Our results show that bistability emerges for intermediate levels of farmer support due to positive feedback that arises from competition between shrubs and grasses and from herbivory. We furthermore demonstrate that disturbances, such as drought events, trigger abrupt transitions from the grass dominated to the shrub dominated state and that the system becomes more susceptible to disturbances with increasing farmer support.</p>
Data from: Grazing herbivores reduce herbaceous biomass and fire activity across African savannas
<p>Fire and herbivory interact to alter ecosystems and carbon cycling. In savannas, herbivores can reduce fire activity by removing grass biomass, but the size of these effects and what regulates them remain uncertain. To examine grazing effects on fuels and fire regimes across African savannas, we combined data from herbivore exclosure experiments with remotely sensed data on fire activity and herbivore density. We show that, broadly across African savannas, grazing herbivores substantially reduce both herbaceous biomass and fire activity. The size of these effects was strongly associated with grazing herbivore densities and, surprisingly, was mostly consistent across different environments. A one-zebra increase in herbivore biomass density (~100 kg/km<sup>2</sup> of metabolic biomass) resulted in a ~53 kg/ha reduction in standing herbaceous biomass and a ~0.43 percentage point reduction in burned area. Our results indicate that fire models can be improved by incorporating grazing effects on grass biomass.</p>
Figure 3 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado
Figure 3. Proportional occurrence of 51 woody species across 30 plots ordinated by the soil gradient of aluminum saturation and base saturation (RDA axis 1, see Figure 1) in a savanna-dry forest transition. Grey and black bars correspond to cerrado stricto sensu and dry forest plots, respectively.
Figure 2 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado
Figure 2. Topography and the gradients of aluminum saturation, base saturation, and phosphorus across 30 plots (rectangles, 10×40 m) in a 4.5 ha area of contact between the cerrado stricto sensu (SA) and dry forest (DF) physiognomies.
Figure 1 in Woody species distribution across a savanna-dry forest soil gradient in the Brazilian Cerrado
Figure 1. Biplot of tb-RDA for woody species composition, and relationships with edaphic (P = phosphorous; A = aluminum saturation; B = base saturation) and spatial (M1 and M2) variables, among plots in cerrado stricto sensu (gray) or dry forest (black) physiognomies.
Figure 8 in Diversity in Australia's tropical savannas: An integrative taxonomic revision of agamid lizards from the genera Amphibolurus and Lophognathus (Lacertilia: Agamidae)
Figure 8. Photos in life of species under revision: a, Lophognathus horneri sp. nov., adult male with breeding colouration, 80 mile beach, Western Australia (photo: R. Glor); b, Lophognathus gilberti, Katherine, Northern Territory (photo: R. Glor); c, Amphibolurus centralis, adult male with breeding colouration, West MacDonnell Ranges, Northern Territory (photo: J. Melville); d, Amphibolurus burnsi, adult male with breeding colouration, Westmar, Queensland (photo: S. Wilson); e, Tropicagama temporalis, Jabiru, Northern Territory (photo: S. Wilson); f, Gowidon longirostris, adult male with breeding colouration, Ormiston Gorge, Northern Territory (photo: R. Glor).
Figure 2 in Diversity in Australia's tropical savannas: An integrative taxonomic revision of agamid lizards from the genera Amphibolurus and Lophognathus (Lacertilia: Agamidae)
Figure 2. The distribution of Lophognathus sensu lato samples included in this study along the first three morphological principal components axes. Distribution of each taxon is delineated by a 95% confidence ellipse. Lophognathus gilberti has been separated into L. sp. nov., L. gilberti centralis, and L. gilberti.
Figure 6 in Diversity in Australia's tropical savannas: An integrative taxonomic revision of agamid lizards from the genera Amphibolurus and Lophognathus (Lacertilia: Agamidae)
Figure 6. Colour pattern variation in the lateral head views of Amphobolurus centralis, Lophognathus gilbert and L. horneri sp. nov. Museum registration numbers for the individual lizards photographed are provided.
Figure 7 in Diversity in Australia's tropical savannas: An integrative taxonomic revision of agamid lizards from the genera Amphibolurus and Lophognathus (Lacertilia: Agamidae)
Figure 7. Variation in white pigmentation on tympanums of Lophognathus sp. nov., L. gilberti and L. gilberti centralis. Orientation of the tympanums is provided under images. Museum registration numbers for the individual lizards photographed are also provided.
Figure 5 in Diversity in Australia's tropical savannas: An integrative taxonomic revision of agamid lizards from the genera Amphibolurus and Lophognathus (Lacertilia: Agamidae)
Figure 5. Primary type specimens: a,Amphibolurus centralis (MCZ 35207); b, Gowidon longirostris (BMNH 1946.8.28.73); c, Lophognathus gilbert (BMNH1946.8.28.69); d, Tropicagama temporalis (BMNH 1946.8.28.72).
Figure 3 in Diversity in Australia's tropical savannas: An integrative taxonomic revision of agamid lizards from the genera Amphibolurus and Lophognathus (Lacertilia: Agamidae)
Figure 3. Results from the integrative taxonomic approach to species delimitation. Genera are designated by a multicoloured horizontal bars at the top of the figure, and species within genera are designated by a number in black above a coloured vertical segment. Segment colours and species numbers correspond to those in fig.1.
Figure 1 in Diversity in Australia's tropical savannas: An integrative taxonomic revision of agamid lizards from the genera Amphibolurus and Lophognathus (Lacertilia: Agamidae)
Figure 1. MtDNA phylogenetic tree for the genera Lophognathus, Amphibolurus and Chlamydosaurus reproduced from Melville et al. (2011). Tree presented is a Bayesian 50% majority-rule consensus tree based on ~1200 bp mitochondrial DNA (ND2). Bayesian posterior probabilities and ML boostraps are provided on branches. Sample identification numbers are either Genbank accession numbers for previously published sequences or museum IDs (shown in brackets) for samples sequenced previously. Vertical bars indicate species following the taxonomic revision.
Data for: Pine trees structure plant biodiversity patterns in savannas
<p>Overstory trees serve multiple functions in grassy savannas. Past research has shown that large pine canopy openings harbor greater plant species richness and different species composition. However, these studies did not examine such patterns at the scale of individual trees. We examined the relationship between understory plant communities and proximity to individual pine trees in dry and mesic pine savannas in frequently burned (1-3 year intervals) and long unburned (>30 years since fire) sites in north central Florida. We recorded the presence and abundance (stem or ramet number) of plant species in 1 m x 1 m plots adjacent to tree boles (basal) or outside crown driplines (open). In addition, we quantified environmental variables, including light transmittance and percent cover of litter, bare ground, and fuel loading classes.</p>
Fig 4 in Tinnea gombea (Lamiaceae), a new species from the Sudanian savanna region, Nigeria based on integrative evidence
Fig 4. Scanned type herbarium specimens of the most similar Tinnea species. (A) T. galpini; (B) T. aethiopica; (C) T. barteri; and (D) T. gombea to show the similarities and variations in morphological characters. Copyright: the Board of Trustees of the Royal Botanic Gardens, Kew, United Kingdom. Reproduced with the consent of the Royal Botanic Gardens, Kew (K). https://doi.org/10.1371/journal.pone.0280550.g004
Fig 3 in Tinnea gombea (Lamiaceae), a new species from the Sudanian savanna region, Nigeria based on integrative evidence
Fig 3. Distribution map of Tinnea gombea (black solid circle). The map was generated using naijR package version 0.4.0 as implemented in R version 4.2.0. and is therefore for illustrative purposes only. https://doi.org/10.1371/journal.pone.0280550.g003
Fig 2 in Tinnea gombea (Lamiaceae), a new species from the Sudanian savanna region, Nigeria based on integrative evidence
Fig 2. Morphological features of Tinnea gombea. (A) Plant habit and habitat; (B–D) young branches bearing vegetative and reproductive features; (E) Older branch with mature leaves, bracts and fruits; (G) closer view of dried fruits and leaves; (H) closer view of the fluffy seed with a tuft of basal hairs. Photos by D.A. Zhigila. https://doi.org/10.1371/journal.pone.0280550.g002
Fig 1. A 50 in Tinnea gombea (Lamiaceae), a new species from the Sudanian savanna region, Nigeria based on integrative evidence
Fig 1. A 50% majority-rule consensus tree of the genus Tinnea obtained from the Bayesian analysis of the combined datasets of the nrITS, and matK, rbcL and trnL-F. Numbers on nodes indicate the posterior probability and the bootstrap support values of>0.80 and>55% respectively. Note that the new species (T. gombea) is in bold blue. https://doi.org/10.1371/journal.pone.0280550.g001
Figure 1 in Effects of nitrogen and phosphorus availability on the early growth of two congeneric pairs of savanna and forest species
Figure 1. On that figure are the logarithms of root-to-shoot ratio square root in two pairs of congeneric species. The forest houses data from two species (E. contortisiliquum and S. grandiflorum), as do the savanna (E. gummiferum and S. lycocarpum). The complete solution is represented by Com; The solution without N by -N; The solution without P by -P; The solution without both nutrients by -NP.
Fig. 1 in The invasive white ginger lily (Hedichium coronarium) simplifies the trait composition of an insect assemblage in the littoral zone of a Savanna reservoir
Fig. 1. Location and characterization of plant composition banks of Fazzari reservoir in the Brazilian Savanna (Cerrado Biome, Brazil).
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These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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)
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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.