Here is another pair of antelope that are often muddled up on Snapshot Serengeti; topi and hartebeest. These two share a similar size and body shape and for those of you not familiar with them they can prove a bit tricky.
Topi and hartebeest belong to the same tribe, Alcelaphini, which also includes wildebeest. These antelope typically have an elongated face, long legs, short necks and stocky bodies. Although these antelope have reasonably large bodies their long legs mean they have retained the ability to run fast, a good adaptation for life on the open plains. It is believed that the long face developed in place of a long neck in order to reach the grasses they consume.
There are several species of both topi and hartebeest in Africa, two are found in the Serengeti. Coke’s hartebeest or kongoni (Alcelaphus cokii) are selective grazers with browse making up less than 4% of their diet. Serengeti topi (Damaliscus jimela) are 100% grazers
In both species males are territorial but topi also form leks from which to display to passing females. Males holding territory close to the lek are more desirable to females. Dominant females will actively prevent subordinate females from mating with these males.
So side by side we can see that the topi is much darker coloured than the hartebeest with distinct sandy socks up to its knees and conspicuous black patches on the thighs and shoulders. In contrast the hartebeest has pale legs and underbelly with a darker upper body. The paleness forms a patch on the top of the thigh.
From behind the contrast between leg colour and backside is very obvious with topi sporting dark legs with pale rump and back and hartebeest pale legs and rump with dark back.
Horn shape is also different. A topi’s horns sweep up and back whereas a heartebeest’s sweep out to the side before kinking back. They also sit on a prominent bony ridge on the top of the head.
Hopefully this will help you tackle all the images waiting on season 10.
In my last blog I mentioned Ingela Jansson and the KopeLion project and promised to tell you more.
Ingela spent three years working for the Serengeti Lion project as a research assistant monitoring lions in the Serengeti National Park as well as the Ngorongoro Crater. Although working in the park was an amazing experience it was the work she did in the crater area that was to prove a more urgent calling. The very real conflict she saw between humans and lions persuaded her that if someone didn’t do something the Ngorongoro lions were headed towards extinction. And so KopeLion project was born in 2011.
The Ngorongoro conservation area was gazetted in 1959 and designated a multi use landscape. The pastoralist population were permitted to continue living there alongside the wildlife. Since this time the population has risen 10 fold and the once harmonious coexistence with lions has collapsed. Lions have disappeared from much of the area and the connection to the Serengeti lions is all but extinguished.
Enter KopeLion. The project aims to foster human – lion coexistence through community engagement, science and mentorship. One of the most successful outcomes so far is the recruitment of former lion hunters as lion protectors, we heard Roimen’s story last week.
But just how do you ‘engage with the community’ to try and change their minds about living with a dangerous predator. Well KopeLion do this in many ways. Firstly most of the employees are local which means they already have the community’s ear. To the Maasai their live stock are sacred so KopeLion spend a lot of time trying to reduce lion conflicts. They follow the model developed by Lion Guardians Ltd ( http://lionguardians.org )by helping local herders to build sturdy bomas, searching for missing livestock, treating injured livestock and warning herders when lion are nearby. The lion guardians or Ilchokutis are assigned an area of between 60 and 200km2 where they monitor lions or signs of lions scientifically. They also try to prevent young warriors or Morani from carrying out lion hunts. Part of their role is as mentors to the younger generation.
The Maasai still hold strong traditional beliefs and have strong community ties, recognising and embracing this is one of the reasons for KopeLion’s success so far on its mission to help humans and lions live in peace. The strong local ties mean KopeLion have won trust amongst the local herders and in 2016 they were able to stop more than 20 lion hunts from going ahead and have seen the evidence that their efforts are working in the fact that two of the monitored lion prides now show complete survival.
Ingela and her team at KopeLion are doing such valuable work that I urge you to head over to their incredibly informative website to read more about it.
Over the next few months I would like to bring you a few blogs about the many people that work to make Snapshot Serengeti possible. Without them there would be no data for us to pour over but what exactly do they do and who are they?
Dr Michael Anderson is currently in the Serengeti collecting data and checking up on how the various projects that make up Snapshot Serengeti are getting along. As part of the projects commitment to engaging with the local community Michael has begun a National Geographic funded intern program. Its aim is to give young locals valuable training and research experience in the fields of ecology and conservation.
The first student to be taken up on the program is Roimen Lelya Olekisay. He is a Maasai from the Ngorongoro Conservation Area. His story highlights why the intern program is a vital part of both the scientific and conservation work we do. Many local people see wild animals as a threat to their own domestic stock as well as themselves and retaliatory killings are common. Living alongside wildlife is not easy. Without the good will of the local people it is very hard to change their attitudes to the work we do and the animals themselves.
Roimen grew up on the Western slope of the Ngorongoro crater, his family, like many Maasai are herders. As a young boy he roamed all over the Ngorongoro protected area (NPA) with the family livestock. The Maasai are permitted to live in the NPA where they can graze livestock but are not allowed to cultivate the land. Roimen spent two years away at secondary school before returning to the family to continue herding. This is a familiar story for many Maasai. The importance of livestock is paramount and many boys do not complete schooling.
As a young warrior, like many his age, Roimen speared and killed at least three lion. Tradition dictates that young Maasai warriors must kill a lion to become a man. He would have maybe carried on killing lions whenever he perceived a threat to his family’s livestock but he met up with Ingela Jannsen’s group Kope Lion Project in 2013 who work in the area trying to mitigate lion/human conflict. He helped fit a radio collar to a lion and this interaction with the king of beasts up close transformed him from a lion hunter to a lion protector. He became one of Ingela’s lion scouts (more about Ingela and the Kope Lion Project in next week’s blog) recording predator-livestock attacks in the conservation area and working to prevent lion conflicts and hunts. His enormous enthusiasm for lions and their research makes him a perfect candidate to further his scientific skills. This is someone with a natural ease and interest in the wildlife around him and its preservation.
In his new role as the first intern for the National Geographic-Serengeti National park program Roimen will be tracking lions and setting up a camera-trap network that hopes to dissuade human-lion conflicts and generally learning all the scientific skills associated with this work. He has just started and will be with us for six months, hopefully we can catch up with his progress in a few months.
Photo’s curtsey of Ingela Jannsen and KopeLion project
This is another guest post by Drs. Tom Morrison and Michael Anderson about the Snapshot Serengeti Special Edition and what their research hopes to uncover.
Seeing the forest for the trees
First, a big THANK YOU to everyone who has helped classified images at Snapshot Serengeti, both past and present. Without the continued help of this great online community, our research would come to a grinding halt! So thank you. A number of folks (and at least one giraffe) have asked about the new study currently up on Snapshot Serengeti, so here’s a fuller explanation of this work.
Photos from our newest Snapshot Serengeti Special Season come from a camera trap experiment in Serengeti involving friends and collaborators based at Wake Forest University (US), University of Georgia (US) and University of Glasgow (UK).
One of the exciting things about these new images is that they come from some of the more remote corners of the park, far beyond where past photos (Season 1-9) were (and continue to be) collected. So, keep an eye out for different species than past surveys. For instance in the north, you might see oribi, a small and elegant ungulate with a large dark scent gland below its eye. In the south, our cameras overlap the home ranges of some of the few black rhinoceros still living in the park, and we already know there are at least a few rhino images in our pile, like this:
We set these cameras at a slightly higher height (1.5 meters in most cases), which allows us to see species from new wider angles. Admittedly, this new experimental design makes animal classifications a bit harder because we can often see far into the distance. Our advice is to simply do your best, but don’t sweat it too much if you can’t figure it out. Better to see the forest than the trees.
Back to the research…
Speaking of trees, this new study is trying to unravel the secret lives of trees. We monitor hundreds of individually marked trees around the ecosystem and revisit them each year to measure growth, survival, disease and few other things. You may have noticed little cages in some of the camera trap photos (see giraffe above). These are part of our experiment and enclose four small native tree seedlings which we transplanted to the plots after growing them in a nursery for 6 weeks. In fact we planted over 800 seedlings around the ecosystem to study the relative importance of herbivory, fire and rainfall on seedling growth and survival. So, we need camera traps to monitor things when we’re not there.
For example, check out the following sequence captured on one of our game cameras in southern Serengeti involving one of our marked trees:
What’s amazing about this is that not only does an elephant kill an adult tree, he does it under 60 seconds. This tree is an Acacia tortilis, or the “umbrella acacia,” named for its characteristic flat top. Umbrella acacias are one of the most common trees in Serengeti and one of our main study species. Images like these help inform our study of trees, telling us how they died, or at least how many large herbivores were in the area to potentially kill and eat them. But this begs the question: if a tree falls in the Serengeti, will anyone hear it? At least we know that there’s a small chance that one of our cameras might see it.
As I’m writing up my dissertation (ahh!), I’ve been geeking out with graphs and statistics (and the beloved/hated stats program R). I thought I’d share a cool little tidbit.
Full disclosure: this is just a bit of an expansion on something I posted back in March about how well the camera traps reflect known densities. Basically, as camera traps become more popular, researchers are increasingly looking for simple analytical techniques that can allow them to rapidly process data. Using the raw number of photographs or animals counted is pretty straightforward, but is risky because not all animals are equally “detectable”: some animals behave in ways that make them more likely to be seen than other animals. There are a lot of more complex methods out there to deal with these detectability issues, and they work really well — but they are really complex and take a long time to work out. So there’s a fair amount of ongoing debate about whether or not raw capture rates should ever be used even for quick and dirty rapid assessments of an area.
Since the Serengeti has a lot of other long term monitoring, we were able to compare camera trap capture rates (# of photographs weighted by group size) to actual population sizes for 17 different herbivores. Now, it’s not perfect — the “known” population sizes reflect herbivore numbers in the whole park, and we only cover a small fraction of the park. But from the graph below, you’ll see we did pretty well.
Actual herbivore densities (as estimated from long-term monitoring) are given on the x-axis, and the # photographic captures from our camera survey are on the y-axis. Each species is in a different color (migratory animals are in gray-scale). Some of the species had multiple population estimates produced from different monitoring projects — those are represented by all the smaller dots, and connected by a line for each species. We took the average population estimate for each species (bigger dots).
We see a very strong positive relationship between our photos and actual population sizes: we get more photos for species that are more abundant. Which is good! Really good! The dashed line shows the relationship between our capture rates and actual densities for all species. We wanted to make sure, however, that this relationship wasn’t totally dependent on the huge influx of wildebeest and zebra and gazelle — so we ran the same analysis without them. The black line shows that relationship. It’s still there, it’s still strong, and it’s still statistically significant.
Now, the relationship isn’t perfect. Some species fall above the line, and some below the line. For example, reedbuck and topi fall below the line – meaning that given how many topi really live in Serengeti, we should have gotten more pictures. This might be because topi mostly live in the northern and western parts of Serengeti, so we’re just capturing the edge of their range. And reedbuck? This might be a detectability issue — they tend to hide in thickets and so might not pass in front of cameras as often as animals that wander a little more actively.
Ultimately, however, we see that the cameras do a good overall job of catching more photos of more abundant species. Even though it’s not perfect, it seems that raw capture rates give us a pretty good quick look at a system.
I’ve written a handful of posts (here and here and here) about how lions are big and mean and nasty…and about how even though they are nasty enough to keep wild dog populations in check, they don’t seem to be suppressing cheetah numbers.
Well, now that research is officially out! It’s just been accepted by the Journal of Animal Ecology and is available here. Virginia Morrell over at ScienceNews did a nice summary of the story and it’s conservation implications here.
One dissertation chapter down, just two more to go!
I’m in the process of writing up some *really* cool camera trap results from Seasons 1-6, and plan to share them here next week (as soon as I make them pretty). It would never have been possible without your guys’ help. But in the meanwhile, this just aired again on TV, and thought you might enjoy a bit of a break! They talk about the camera traps a bit ~33 minutes in.[youtube http://www.youtube.com/watch?v=ri1RU9WpD2c&w=560&h=315%5D
Weather.com says it’s a whopping 6 degrees outside right now, but that it feels like -14. I am really wishing I were back at the conference in California right now…
By now, both Meredith and I have gushed about all the “bio-celebrities” at the Gordon Research Conference on Predator Prey Interactions. How we got to come face to face with the scientists whose work we’ve read, memorized, admired for years. But what I think has been an even more exciting outcome of this research conference than getting to hang out with our scientific heros and listen awe-struck about everything they’ve done in the past that has led to their fame today, was a chance to sit down with them over a beer or glass of overpriced red, and talk about the future. Not just where our various and varied subfields have been, and not even just where they are going, but where they need to go. Where the holes are in our knowledge, and what we need to do to fill them.
Much of ecology is about developing “predictive capacity.” The ability to not just describe the patterns we see in the world about us, but the ability to predict what will happen when things change. Understanding how climate change affects annual bird migrations, for example, or what losing species means for the spread of disease. We develop conceptual frameworks to tie together outcomes from different experiments and scattered observations drawn from ecosystems around the world, and these frameworks give us a way to articulate our expectations about 1) what underlying processes we think are driving the dynamics of a system and 2) a way to test those hypotheses: do the outcomes match what we predicted would happen? Or is something else going on that we need to investigate further?
One of the things I slowly worked up the courage to articulate at the conference was that I think that science surrounding predator-predator dynamics really lacks this sort of integrated, synthetic, predictive framework. We draw on a whole bunch of different sets of theories to understand the patterns of suppression and coexistence apparent in apex-mesopredator (top- and middle- predator) systems. There’s a ton of theory out there on how species coexist when they eat the same thing, or how they coexist when they eat the same thing and also eat each other. There’s a lot of theory on how predators coexist with the things they eat. There are predictions for when we expect to see species able to coexist, when we don’t, and how these different outcomes change from, say, low productivity tundra to high productivity rainforests.
But around the world, top predators suppress populations of smaller predators (called mesopredator suppression). It’s not because the top predators are eating up all the food, and it’s not because the top predators are eating the mesopredators. It seems to happen because the bigger guys chase, harass, and kill the smaller guys. This is bad enough, but it also creates a “landscape of fear” in which that the smaller guys change their behaviors to try and avoid these aggressive encounters. There are lots and lots of ways in which mesopredator suppression can happen…but we (as a community of ecologists) don’t have a good, integrated framework for making predictions about when we expect to see mesopredator suppression vs. when we don’t. We don’t have a set of expectations about how these patterns change with different behaviors or different types of environments. We don’t have a solid understanding of what mesopredator suppression means for other small predators, prey animals, and the plants that the prey animals eat. We have lots and lots of examples of all sorts of complex things happening…but we don’t yet have the ability to predict how these things play out in new systems.
And that, to me, is one of the most exciting “holes” that needs filling. How do we tie together our knowledge from all of these disparate studies, where lions suppress wild dogs but not cheetahs, or coyotes kill foxes left and right but aren’t actually the reason that fox populations are low. I guess my PhD is trying to fill a tiny, tiny bit of that hole. But it’s a damn big hole and sometimes it’s hard to see how one PhD will cover a whole lot of ground. I guess what was so exciting at the GRC is just how many other people are also trying to fill those holes…and with all of us working together, we just might actually be able to understand the world around us that much better.
As you all ready know Snapshot Serengeti’s thousands of camera-trap images are part of an ongoing study into predator interactions by Ali. There are few projects that use camera-traps as extensively as Snapshot Serengeti and of course Ali has her hands full analysing the bits relevant to her. The cameras work around the clock recording details of daily and nightly life in the Serengeti and do not discern between the stuff Ali does and doesn’t want. That’s why, Ali’s sanity aside, they are such perfect tools. Those same cameras providing Ali’s data could also be the basis of a future ecologist’s research.
One of the most striking asides for me is the case of the giraffe and the oxpeckers.
Oxpeckers are small birds that feed on ticks and other parasites that they glean from the bodies of large mammals. Most usually they are seen riding along on large mammals such as buffalo, wildebeest and giraffe whilst they search their hosts for ticks or open wounds. This in itself is not an unusual occurrence and most of you will have hit the bird /other button with these guys. Much more unusual are the shots of giraffe at night time with these birds using them as roosting spots. There are two species of oxpecker, the red-billed (Buphagus erythrorhynchus) and the yellow-billed (Buphagus africanus) both of which are found in the Serengeti.
According to research carried out by M. Stutterheim and K. Panagis that looked at the roosting habits of both species the red-billed oxpecker roosts in trees but the yellow-billed was often found roosting on their preferred host species. Apparently red-billed oxpeckers feed on a wide range of host species where as yellow-billed oxpeckers are much more picky preferring buffalo and giraffe. It is thought that the habit of roosting at night on their favourite host species is an adaptation to save the birds time looking for the right animal the following day. Given that buffalo and giraffe are prone to walking large distances this is probably very sensible.
From most of the images we have of oxpeckers on giraffe at night it is hard to tell which species they are but there are one or two where you can see the tell-tell yellow bill confirming that they are indeed yellow-billed oxpeckers. The images also show that the birds seem to prefer settling between the hind legs of the giraffe. This must be a nice warm spot in winter and keeps them safe from any nocturnal predators.
Perhaps the behaviour is not so unusual after all but rather little documented. Getting photographic evidence of birds at night on mobile roosts is obviously not easy. Looks like our camera-traps have excelled themselves again.