Author

Ephraim Mwangomo

Observed names: E. Mwangomo, Ephraim A. Mwangomo, Mwangomo, Ephraim

Observed institutions: Philipps University of Marburg, Tanzania National Parks, Washington State University

OpenAlex ID: A5006776782

Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions

2019 · Marcell K. Peters, Andreas Hemp, et al. · Nature · 566

Predictors of elevational biodiversity gradients change from single taxa to the multi-taxa community level

2016 · Marcell K. Peters, Andreas Hemp, et al. · Nature Communications · 365

Can parks protect migratory ungulates? The case of the Serengeti wildebeest

2004 · Simon Thirgood, Anna Mosser, et al. · Animal Conservation · 258

Evaluating machine learning approaches for the interpolation of monthly air temperature at Mt. Kilimanjaro, Tanzania

2015 · Tim Appelhans, Ephraim Mwangomo, et al. · Spatial Statistics · 218

Competition, predation, and migration: individual choice patterns of Serengeti migrants captured by hierarchical models

2014 · J. Grant C. Hopcraft, J. M. Morales, et al. · Ecological Monographs · 128

Wildlife water utilization and importance of artificial waterholes during dry season at Ruaha National Park, Tanzania

2007 · A. M. Epaphras, E. Gereta, et al. · Wetlands Ecology and Management · 94

Eco‐meteorological characteristics of the southern slopes of Kilimanjaro, Tanzania

2015 · Tim Appelhans, Ephraim Mwangomo, et al. · International Journal of Climatology · 90

Multidecadal Trends and Interannual Variability of Rainfall as Observed from Five Lowland Stations at Mt. Kilimanjaro, Tanzania

2016 · Insa Otte, Florian Detsch, et al. · Journal of Hydrometeorology · 37

Ecohydrology as a tool for the survival of the threatened Serengeti ecosystem

2009 · Emmanuel Gereta, Ephraim Mwangomo, et al. · Ecohydrology & Hydrobiology · 31

6. Why Are Wildebeest the Most Abundant Herbivore in the Serengeti Ecosystem? / J. Grant C. Hopcraft, Ricardo M. Holdo, Ephraim Mwangomo, Simon A. R. Mduma, Simon J. Thirgood, Markus Borner, John M. Fryxell, Han Olff, and Anthony R .E. Sinclair

2015 · J. Grant C. Hopcraft, Ricardo M. Holdo, et al. · University of Chicago Press eBooks · 20

The influence of wetlands, decaying organic matter, and stirring by wildlife on the dissolved oxygen concentration in eutrophicated water holes in the Seronera River, Serengeti National Park, Tanzania

2006 · Bakari Mnaya, Ephraim Mwangomo, et al. · Wetlands Ecology and Management · 16

Habitat selection, diet and interspecific associations of the rufous‐tailed weaver and Fischer’s lovebird

2008 · Ephraim A. Mwangomo, Linda H. Hardesty, et al. · African Journal of Ecology · 14

Monthly And Annual Climate Data Averaged From 2011 To 2013 For 79 Research Plots On The Southern Slopes Of Mt. Kilimanjaro - V 1.0

2014 · Appelhans, Tim, Mwangomo, Ephraim, et al. · Zenodo (CERN European Organization for Nuclear Research) · 13

The influence of wetlands in regulating water quality in the Seronera River, Serengeti National Park, Tanzania

2004 · Emmanuel Gereta, Ephraim Mwangomo, et al. · Wetlands Ecology and Management · 13

6. Why Are Wildebeest the Most Abundant Herbivore in the Serengeti Ecosystem

2015 · J. Grant C. Hopcraft, Ricardo M. Holdø, et al. · 6

Why are wildebeest the most abundant herbivore in the Serengeti

2015 · J. Grant C. Hopcraft, Ricardo M. Holdø, et al. · ENLIGHTEN (Jurnal Bimbingan dan Konseling Islam) · 6

Monthly And Annual Climate Data Averaged From 2011 To 2013 For 79 Research Plots On The Southern Slopes Of Mt. Kilimanjaro - V 1.1

2014 · Appelhans, Tim, Mwangomo, Ephraim, et al. · Zenodo (CERN European Organization for Nuclear Research) · 2

Climate–land-use interactions shape tropical mountain biodiversity and ecosystem functions

2019 · Matthias Schleuning, Christine Ngereza, et al.

Supplement 1. R and winBUGs code for running the hierarchical state-space models that link movement trajectories to environmental covariates.

2016 · J. Grant C. Hopcraft, J. M. Morales, et al. · Figshare

Appendix D. A comparison between the full models presented in the manuscript and simplified models from a backward elimination process.

2016 · J. Grant C. Hopcraft, J. M. Morales, et al. · Figshare

Appendix F. Linear regression of the number of zebra observed as a function of the density of wildebeest by general habitat, suggesting that zebra might choose to stay near wildebeest in woodland areas where ambush predators are difficult to detect.

2016 · J. Grant C. Hopcraft, J. M. Morales, et al. · Figshare

Appendix C. Additional material and methods describing how grass nitrogen, NDVI, grass biomass, the risk of predation, access to water, and exposure to anthropogenic risk were measured.

2016 · J. Grant C. Hopcraft, J. M. Morales, et al. · Figshare

Appendix E. Frequency histogram of the average wildebeest herd size estimated from systematic ground transects.

2016 · J. Grant C. Hopcraft, J. M. Morales, et al. · Figshare

Appendix B. Methods regarding animal capture and handling, animal morphometrics, and details of GPS collars.

2016 · J. Grant C. Hopcraft, J. M. Morales, et al. · Figshare

Appendix A. Overview of the annual Serengeti wildebeest migration including maps of the point locations of GPS collared wildebeest and zebra (by season) and a table summarizing the mean number of days tracked and distance moved per individual.

2016 · J. Grant C. Hopcraft, J. M. Morales, et al. · Figshare

Works count: 33

Citation count: 1,878

H-index: 13

I10-index: 14