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123 results for “Escarpment”
TA B L E 1 Summary of model fit, based on the area under the curve (AUC) of the receiver operating characteristic (ROC) for training data, and the most important bioclimatic variables in past, present, and future (2070) Maxent models of 13 bat species included in this study. in Southern Africa's Great Escarpment as an amphitheater of climate-driven diversification and a buffer against future climate change in bats
TA B L E 1 Summary of model fit, based on the area under the curve (AUC) of the receiver operating characteristic (ROC) for training data, and the most important bioclimatic variables in past, present, and future (2070) Maxent models of 13 bat species included in this study.
FIGURE 4 in Southern Africa's Great Escarpment as an amphitheater of climate-driven diversification and a buffer against future climate change in bats
FIGURE 4 Maps of south-central Africa showing the distribution of Köppen–Geiger climate zones for the present (a) and projected future (2070) (b), as well as past (last glacial maximum: left panel), present (right panel), and projected future (2070; right panel) Maxent distribution models for five species groups of bats; Rhinolophus capensis group (c–e: green = R. swinnyi; blue = R. rhodesiae; orange = R. simulator; turquoise = R. capensis; red = R. denti); R. darlingi group (f–h: blue = R. cervenyi; orange = R. darlingi; red = R. damarensis), R. ferruquinum group, in part (i–k: blue = R. acrotis), Laephotis spp (l–n: blue = L. cf. botswanae; orange = L. angolensis), Cistugo spp (o–q: blue = C. lesueuri; red = C. seabrae). Details of Maxent models given in text. Ranges of species above indicated by colors corresponding to biomes recognized in this study (Tables S1 and S2) as follows: blue or green = temperate; orange = savanna; turquoise = Mediterranean; red = arid. Map lines delineate study areas and do not necessarily depict accepted national boundaries.
Linked collectors and determiners for: Two new species of Acontias (Acontinae, Scincidae) from the Mpumalanga Highveld escarpment of South Africa.
Natural history specimen data linked to collectors and determiners held within, "Two new species of Acontias (Acontinae, Scincidae) from the Mpumalanga Highveld escarpment of South Africa". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/afde68cb-44e6-4117-820e-3304027b9ec3">https://bionomia.net/dataset/afde68cb-44e6-4117-820e-3304027b9ec3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/afde68cb-44e6-4117-820e-3304027b9ec3">https://gbif.org/dataset/afde68cb-44e6-4117-820e-3304027b9ec3</a>. Formatted as a Frictionless Data package.
Linked collectors and determiners for: FBIP: Great Escarpment Biodiversity Research Programme data mobilisation.
Natural history specimen data linked to collectors and determiners held within, "FBIP: Great Escarpment Biodiversity Research Programme data mobilisation". Claims or attributions were made on Bionomia by volunteer Scribes, <a href="https://bionomia.net/dataset/f8cd9c4d-4693-40d7-9c0c-a3ce2ea2a1c3">https://bionomia.net/dataset/f8cd9c4d-4693-40d7-9c0c-a3ce2ea2a1c3</a> using specimen data from the dataset aggregated by the Global Biodiversity Information Facility, <a href="https://gbif.org/dataset/f8cd9c4d-4693-40d7-9c0c-a3ce2ea2a1c3">https://gbif.org/dataset/f8cd9c4d-4693-40d7-9c0c-a3ce2ea2a1c3</a>. Formatted as a Frictionless Data package.
Dataset to paper YWang and SWillett Escarpment retreat rates derived from detrital cosmogenic nuclide concentrations
<p>This is dataset used in paper <em>Wang, Y. and Willett, S. D.: Escarpment retreat rates derived from detrital cosmogenic nuclide concentrations, Earth Surf. Dynam., 9, 1301–1322, https://doi.org/10.5194/esurf-9-1301-2021, 2021.</em></p>
FIGURE 4 in Southern Africa's Great Escarpment as an amphitheater of climate-driven diversification and a buffer against future climate change in bats
FIGURE 4 (Continued)
FIGURE 2 in Southern Africa's Great Escarpment as an amphitheater of climate-driven diversification and a buffer against future climate change in bats
FIGURE 2 (Continued)
Dataset supplements to Wang et al Retreat of the Great Escarpment of Madagascar from Geomorphic Analysis and Cosmogenic 10Be Concentrations
<p>This dataset is supplemented to Wang, Y., Willett, S., Wu, D., Haghipour, N., & Christl, M. (2021). Retreat of the Great Escarpment of Madagascar from Geomorphic Analysis and Cosmogenic 10Be Concentrations. https://doi.org/10.1002/essoar.10507366.1. (in revision and under consideration at G-Cubed).</p>
Blue Ridge Escarpment Drainage Divide Retreat Code
<p>The data and code in this repository was developed for publication in the manuscript: </p> <p>Stokes, MF, Larsen, IJ, Goldberg, SL, McCoy, SW, Prince, PP, & Perron, JT, The erosional signature of drainage divide motion along the Blue Ridge escarpment, JGR: Earth Surface (in review in October, 2022)</p> <p>There are four main directories in the repository. </p> <p>Directory 1: Cosmogenics</p> <p>Includes Table S1 and S2 in the manuscript which report sample locations, 10-Be concentrations, and modelled erosion rates. Also includes data and parameters used in LSDTopotools (Mudd et al. 2016, ESurf) (https://lsdtopotools.github.io/) to prepare the input data for the online erosion rate calculator formerly known as CRONUS (Balco et al., 2008, Geochronology) (https://hess.ess.washington.edu/). </p> <p>Directory 2: MapData</p> <p>All digital elevation models and shapefiles used for topographic analyses. This directory is not needed to run the river long-profile models or to examine the erosion rate results. However, if interested in exactly reproducing our results and following our topographic analyses, this directory will be necessary.</p> <p>Directory 3: TopographicAnalysis</p> <p>Scripts used to analyze topography and create most of the figures in the manuscript. The scripts in this folder use TopoToolbox. TopoToolbox Schwanghart, W., Scherler, D. (2014): TopoToolbox 2 – MATLAB-based software for topographic analysis and modeling in Earth surface sciences. Earth Surface Dynamics, 2, 1-7. [DOI: 10.5194/esurf-2-1-2014]</p> <p>Directory 4: Simulations </p> <p>Code used for numerical models of the topographic evolution of river long-profiles following river capture. It is not necessary to download the data in MapData to get started with the simulation code. Scripts to replicate the experiments in our paper can be found in the sub-directories "DanSimulations" and "RoaSimulations". Toy results are deposited in the directories "RoanokeSimulationResults" and "DanSimulationResults". </p> <p>The functions used in the simulations are in the subdirectory "LongProfileCode". If LongProfileCode is used in work that results in publication please cite one of the following papers in which the MIT Geomorphology landscape evolution model (Tadpole) was developed:</p> <p>Perron, J.T., W.E. Dietrich and J.W. Kirchner (2008), Controls on the spacing of first-order valleys. Journal of Geophysical Research, 113, F04016, doi: 10.1029/2007JF000977.</p> <p>Perron, J.T., J.W. Kirchner and W.E. Dietrich (2009), Formation of evenly spaced ridges and valleys. Nature, 460, 502–505, doi: 10.1038/nature08174.</p> <p> </p>
Dataset to manuscript "The role of weathering on morphology and rates of escarpment retreat of the rift margin of Madagascar" by Wang et al. (2023) submitted to Journal of Geophysical Research-Earth Surface.
<p>The dataset includes the relevant raw chemical element content data and the chemical weathering condition analysis of river sediment samples of Madagascar. The dataset is a supplement to the manuscript "The role of weathering on morphology and rates of escarpment retreat of the rift margin of Madagascar", by Wang et al. (2023) submitted to the Journal of Geophysical Research-Earth Surface. Commercially sensitive data is hidden but is available by request directly to the corresponding author. The data should <strong>NOT</strong> be used commercially.</p> <p>A MATLAB code for the weathering indices calculation is open-access on GitHub (https://github.com/yanyanwangesd/chemical_weathering). Please contact the corresponding author for more info or technical support on using the code. </p>
Volcanic Escarpment
Southwest Arizona Source: Objaverse 1.0 / Sketchfab
FIGURE 5 in The King of the Dwarves: a new cryptic species of Dainty Frog (Anura: Pyxicephalidae: Cacosternum) from the eastern Great Escarpment of South Africa
FIGURE 5. The advertisement call of Cacosternum thorini sp. nov. from Hogsback, South Africa (A—initial single or double 'chirp' and B—longer 'creak').
FIGURE 2 in The King of the Dwarves: a new cryptic species of Dainty Frog (Anura: Pyxicephalidae: Cacosternum) from the eastern Great Escarpment of South Africa
FIGURE 2. Bayesian consensus phylogram for populations of Cacosternum examined in this study. Node support with posterior probabilities> 0.95 and maximum likelihood bootstrap> 70% are indicated with a black circle. Nodes supported only by posterior probabilities are indicated with a white circle.
FIGURE 6 in The King of the Dwarves: a new cryptic species of Dainty Frog (Anura: Pyxicephalidae: Cacosternum) from the eastern Great Escarpment of South Africa
FIGURE 6. The tadpole of Cacosternum thorini sp. nov. (PEM T517) from Hogsback, South Africa (A—lateral view, Bdorsal view, C—ventral view and D—line drawing of LTRF).
FIGURE 1 in The King of the Dwarves: a new cryptic species of Dainty Frog (Anura: Pyxicephalidae: Cacosternum) from the eastern Great Escarpment of South Africa
FIGURE 1. Map showing the type locality of C. thorini sp. nov. (red circle), dotted line represents the Great Winterberg– Amatola Mountain range (and potential distribution of the new species), blue lines represent major rivers, colour represents altitudinal gradient. Insert: photo of type locality.
FIGURE 3 in The King of the Dwarves: a new cryptic species of Dainty Frog (Anura: Pyxicephalidae: Cacosternum) from the eastern Great Escarpment of South Africa
FIGURE 3. Cacosternum thorini sp. nov. from Hogsback, South Africa (A—lateral view of male holotype, B—ventral view of male holotype, C—lateral view of female allotype and D—ventral view of female allotype).
FIGURE 2 in A new species of Protozantaena Perkins, 1997 from the Great Escarpment of South Africa (Coleoptera, Hydraenidae)
FIGURE 2. Protozantaena species, distribution and habitat. A) Distribution of Protozantaena in Southern Africa, red symbol = P. labrata Perkins, 1997, blue symbols = P. birdi sp. nov.; B) Type locality of P. birdi sp. nov. South Africa, Eastern Cape Province, Compassberg, permanent stream on south-east side of main peak—yellow arrow indicates where stream was sampled (photo R. Perissinotto).
FIGURE 1. Protozantaena species. A in A new species of Protozantaena Perkins, 1997 from the Great Escarpment of South Africa (Coleoptera, Hydraenidae)
FIGURE 1. Protozantaena species. A) P. labrata Perkins, 1997, paratype, Namibia, Naukluft, habitus and labels; B) P. birdi sp. nov., holotype habitus; C) P. labrata, paratype, Namibia, Naukluft, aedeagus; D) P. birdi sp. nov., holotype aedeagus. Scale bars A & B) = 0.5 mm; C & D) = 100 μm.
Distribution. Bangweulu district, NE Zambia and the bordering region of Katanga in SE DR Congo. The range is bounded to the N by the Chambeshi and Luapula rivers, and to the S by the Muchinga Escarpment. in Bovidae
Distribution. Bangweulu district, NE Zambia and the bordering region of Katanga in SE DR Congo. The range is bounded to the N by the Chambeshi and Luapula rivers, and to the S by the Muchinga Escarpment.
Distribution. SE Tanzania, N Mozambique, and Zambia (E of the Muchinga Escarpment); formerly Malawi. in Bovidae
Distribution. SE Tanzania, N Mozambique, and Zambia (E of the Muchinga Escarpment); formerly Malawi.
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