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9 results for “African ungulates”
Hierarchy of fear: experimentally testing ungulate reactions to lion, African wild dog and cheetah
<p>Experiments have begun demonstrating that the fear (antipredator responses) large carnivores inspire in ungulates can shape ecosystem structure and function. Most such experiments have focused on the impacts of either just one large carnivore, or all as a whole, rather than the different impacts different large carnivores may have in intact multi-predator-prey systems. Experimentally testing the relative fearfulness ungulates demonstrate toward different large carnivores is a necessary first step in addressing these likely differing impacts. We tested the fearfulness ungulates demonstrated to audio playbacks of lions (<em>Panthera leo</em>), African wild dogs (<em>Lycaon pictus</em>), cheetahs (<em>Acinonyx jubatus</em>) or non-predator controls (birds), in Greater Kruger National Park, South Africa. Ungulates ran more to lions than wild dogs and more to wild dogs than cheetahs, demonstrating a very clear hierarchy of fear. Those that did not run were vigilant (looked toward the sound) more upon hearing large carnivores than controls, being most vigilant to lions. Notably, predator prey preferences did not predict the patterns observed. Our results demonstrate that different large carnivores inspire different levels of fear in their ungulate prey, pointing to differing community-level impacts, which we discuss in relation to the ongoing worldwide decline and loss of large carnivores.</p>
Enamel African ungulates
<p>Reference FTIR spectra of tooth enamel from African ungulate species for the assessment of carbonate hydroxyapatite crystallinity. Samples were analysed in transmission mode using a Thermo Scientific Nicolet iS5 infrared spectrometer equipped with an iD1 transmission module and a deuterated triglycine sulphate (DTGS) detector. Spectra were collected in the 4000-400 cm<sup>-1</sup> spectral region at 4 cm<sup>-1</sup> resolution and in 32 scans, and processed using OMNIC v. 9.13. Spectra are available in .spa and .csv formats. This library is part of the following publication:</p> <p>Toffolo, M. B., Richard, M., 2024. Infrared spectral library of tooth enamel from African ungulates for accurate electron spin resonance dating. Scientific Data 11, 890.<br>DOI: https://doi.org/10.1038/s41597-024-03725-y</p>
Ecological and behavioral mechanisms of density-dependent habitat expansion in a recovering African ungulate population
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Hierarchy of fear: experimentally testing ungulate reactions to lion, African wild dog and cheetah
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Data, Metadata, R-codes and R data files for publication "Comparative ungulate diversity and biomass change with human use and drought: implications for community stability and protected area prioritization in African savannas" by Bartzke et al. in Ecology and Evolution
<p>These files contain data and metadata for modeling ungulate diversity and biomass in the Maasai Mara ecosystem in Kenya in the drought year of 1999 and a year with normal rainfall, 2002. The files also contain R codes and R data files.</p> <p>Metadata.pdf: Metadata for files "mc_333m.csv" and "mc_1km.csv"</p> <p>mc_333m.csv: A data file for 333-meter-by-333-meter sub-blocks.</p> <p>prepare_data.r: R code to impute missing vegetation records in 333-meter-by-333-meter subblocks and summarize the data over 1-kilometer-by-1-kilometer blocks for analysis.</p> <p>krige_vegetation.RData: An R data file containing the imputed vegetation records.</p> <p>mc_1km.csv: A data file for 1-kilometer-by-1-kilometer blocks for analysis.</p> <p>mc_1km.r: R code for modeling ungulate diversity and biomass; mc_1km_mod.RData: An R data file for loading the ungulate diversity and biomass models.</p> <p>mc_1km.RData: An R data file containing model predictions of ungulate diversity and biomass.</p> <p>mc_1km_plots.r: R code for plotting model predictions of ungulate diversity and biomass.</p> <p>MMNR_boundary.shp: A shapefile of the Maasai Mara National Reserve boundary in Kenya and associated files. These files are used for plotting the predictions of ungulate diversity and biomass.</p> <p>MMNR_border.zip: A shapefile and associated files for the Maasai Mara National Reserve border with Tanzania. These files are also used for plotting predictions of ungulate diversity and biomass.</p>
Data from: Quantifying water requirements of African ungulates through a combination of functional traits
<p>Climate and land use change modify surface water availability in African savannas. Surface water is a key resource for both wildlife and livestock and its spatial and temporal distribution is important for understanding the composition of large herbivore assemblages in savannas. Yet, the extent to which ungulate species differ in their water requirements remains poorly quantified. Here, we infer the water requirements of 48 African ungulates by combining six different functional traits related to physiological adaptations to reduce water loss, namely minimum dung moisture, relative dung pellet size, relative surface area of the distal colon, urine osmolality, relative medullary thickness and evaporation rate. In addition, we investigated how these differences in water requirements relate to differences in dietary water intake. We observed strong correlations between traits related to water loss through dung, urine and evaporation, suggesting that ungulates minimize water loss through multiple pathways simultaneously, which suggests that each trait can thus be used independently to predict water requirements. Furthermore, we found that browsers and grazers had similar water requirements, but browsers are expected to be less dependent on surface water because they acquire more water through their diet. We conclude that these key functional traits are a useful way to determine differences in water requirements and an important tool for predicting changes in herbivore community assembly resulting from changes in surface water availability.</p>
Data from: Quantifying water requirements of African ungulates through a combination of functional traits
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Data from: Seasonal patterns of hormones, macroparasites, and microparasites in wild African ungulates: the interplay between stress, reproduction, and disease
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Data from: Genetic identification of endangered North African ungulates using noninvasive sampling
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