A leopard may not be able to change its spots, but new research from a
World Heritage site in Nepal indicates that leopards do change their
activity patterns in response to tigers and humans -- but in different
ways.
The study is the first of its kind to look at how leopards respond to
the presence of both tigers and humans simultaneously. Its findings
suggest that leopards in and around Nepal's Chitwan National Park avoid
tigers by seeking out different locations to live and hunt. Since tigers
-- the socially dominant feline -- prefer areas less disturbed by
people, leopards are displaced closer to humans. Though they may share
some of the same spaces, leopards avoid people on foot and vehicles by
shifting their activity to the night.
A scientific paper based on the study, led by Neil Carter,
postdoctoral fellow at the National Socio-Environmental Synthesis Center
(SESYNC), was published this week in the journal Global Ecology and Conservation.
In addition to Carter, the co-authors are Micah Jasny of Duke
University, Bhim Gurung of the Nepal Tiger Trust in Chitwan, and Jianguo
"Jack" Liu of Michigan State University.
"This study shows the complexity of coupled human and natural
systems," said Liu, director of the Michigan State University Center for
Systems Integration and Sustainability. "It also demonstrates the
challenge of conserving multiple endangered species simultaneously."
Most areas where leopards and tigers co-exist are human-dominated.
Accounting for the multi-layered interactions between leopards, tigers,
and people is therefore key to understanding the ripple effects of human
activities such as conservation actions, the researchers say.
The study has important implications in light of the Global Tiger
Recovery Program, which is committed to doubling the worldwide tiger
population by 2022. As tiger populations -- and the territories they
occupy -- grow, leopards are increasingly likely to be pushed into areas
where people live. The jostling of wildlife occupancy may open the door
to more conflicts between people and leopards that could include
leopard attacks on both people and livestock, as well as retaliatory
killings of leopards.
The researchers' findings underscore how successful conservation
efforts need science that takes into account the complex feedbacks
between humans and nature.
"We want to see increased tiger numbers -- that's a great outcome
from a conservation perspective. But we also need to anticipate
reverberations throughout other parts of the coupled human and natural
systems in which tigers are moving into," said Carter, "such as the ways
leopards respond to their new cohabitants, and in turn how humans
respond to their new cohabitants."
While working on his doctoral degree at Michigan State, Carter spent
two seasons setting motion-detecting camera traps for leopards, tigers,
their prey, and the people who walk the roads and trails of Chitwan,
both in and around the park. Chitwan, nestled in a valley along the
lowlands of the Himalayas, is home to high numbers of leopards and
tigers. People live on the park's borders, but rely on the forests for
ecosystem services such as wood and grasses. They venture in on dirt
roads and narrow footpaths to be 'snared' on Carter's digital memory
cards. The roads also are used by military patrols to thwart would-be
poachers.
Analyses of the thousands of camera trap images begin to tell the
story of who is using which spaces and when they're using them.
Sometimes, though, 'seeing' isn't enough.
"People who use camera traps and other kinds of related monitoring
tools realize there's a possibility that the animal is there, but you
just didn't detect it," said Carter. "For example, your area of interest
may be too large to set up cameras everywhere. Or, it's harder to
detect animals in certain forest types if there are a lot of leafy trees
blocking the camera's field of view -- even if the animal is right
there."
Because traditional field-based research can be logistically
restrictive, time-intensive, and expensive, the researchers used
cutting-edge computational models to fill in data gaps and statistically
estimate the location and timing of leopard-tiger-human activity.
"The computational component of this research is essential since it
allows us to make strong inferences about leopard behavior in Chitwan
based on a small sample," said Jasny, who spent an internship at CSIS
working on the leopard-tiger-human data with Carter.
Carter says that while there are many models that look quantitatively
at the relationships amongst ecological components of an ecosystem,
those models rarely consider humans. Integrating human activity adds a
layer of real-world complexity that is more representative of the
ecosystem as a whole -- providing insights that can help researchers
better understand how people and wildlife mutually influence one
another.
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