Annual mass drownings of the Serengeti wildebeest migration influence nutrient cycling and storage in the Mara River

Proc Natl Acad Sci U S A. 2017 Jul 18;114(29):7647-7652. doi: 10.1073/pnas.1614778114. Epub 2017 Jun 19.


The annual migration of ∼1.2 million wildebeest (Connochaetes taurinus) through the Serengeti Mara Ecosystem is the largest remaining overland migration in the world. One of the most iconic portions of their migration is crossing of the Mara River, during which thousands drown annually. These mass drownings have been noted, but their frequency, size, and impact on aquatic ecosystems have not been quantified. Here, we estimate the frequency and size of mass drownings in the Mara River and model the fate of carcass nutrients through the river ecosystem. Mass drownings (>100 individuals) occurred in at least 13 of the past 15 y; on average, 6,250 carcasses and 1,100 tons of biomass enter the river each year. Half of a wildebeest carcass dry mass is bone, which takes 7 y to decompose, thus acting as a long-term source of nutrients to the Mara River. Carcass soft tissue decomposes in 2-10 wk, and these nutrients are mineralized by consumers, assimilated by biofilms, transported downstream, or moved back into the terrestrial ecosystem by scavengers. These inputs comprise 34-50% of the assimilated diet of fish when carcasses are present and 7-24% via biofilm on bones after soft tissue decomposition. Our results show a terrestrial animal migration can have large impacts on a river ecosystem, which may influence nutrient cycling and river food webs at decadal time scales. Similar mass drownings may have played an important role in rivers throughout the world when large migratory herds were more common features of the landscape.

Keywords: Serengeti wildebeest; animal migration; mass drowning; nutrient cycling; stable isotope.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Alligators and Crocodiles
  • Animal Migration*
  • Animals
  • Bayes Theorem
  • Biomass
  • Drowning
  • Ecosystem
  • Female
  • Fishes
  • Food Chain*
  • Geography
  • Isotopes
  • Kenya
  • Male
  • Muscles
  • Rivers
  • Ruminants*


  • Isotopes