Wildlife Now Responds To Human Presence In Surprising Ways

A new large-scale study led by a research team from the Yale Center for Biodiversity and Global Change has found that wildlife responds not only to how humans reshape their habitats, but also to the simple presence of humans — and sometimes in surprising ways.

Even small changes in how people move through environments can significantly affect animal behavior and could have implications for wildlife conservation efforts, the study finds.

“Our findings provide an important nuance in our understanding of wildlife in a rapidly changing world,” said Walter Jetz, a professor of ecology and evolutionary biology in Yale’s Faculty of Arts and Sciences and director of the Yale Center for Biodiversity and Global Change.

“Animals are affected by both direct human presence and by human-caused changes to the physical environment, such as agriculture and urbanization,” Jetz said. “This study is the first to directly assess at scale how both causes, separately and in combination, impact wildlife habitat usage.”

The study, published in Science, culminates a six-year, global collaboration between Yale researchers and colleagues from more than 5o academic and governmental organizations across the U.S. and abroad.

The study was led by Ruth Oliver, formerly a postdoctoral scientist in Yale’s Department of Ecology & Evolutionary Biology who is now an assistant professor at the University of California Santa Barbara’s Bren School of Environmental Science and Management; and Scott Yanco, another former Yale postdoctoral associate who is now a research ecologist at the Smithsonian’s National Zoo and Conservation Biology Institute.

The study’s overall findings suggest that to protect wildlife, conservationists should consider not just habitat loss, but also where and when people are physically present.

In their work, researchers used GPS devices to track 37 species (22 birds and 15 mammals) across the United States. Mammal species included white-tailed deer, wolves, coyotes, raccoons, skunks, and some of the “big cat” species. The birds included large species such as vultures, hawks, ducks, crane, and storks.

In all, researchers collected about 11.8 million location points from more than 4,500 animals.

For the first time ever, the team then used mobile phone data, paired with satellite-derived measurements of human habitat disturbance, to study how both aspects of human behavior affected animal movement and habitat use.

“It has been challenging to capture the impact of human presence on wildlife,” said Oliver. “Mobile device data are typically not available, but our study was made possible thanks to a unique partnership that made estimates of human presence available to researchers during the COVID-19 pandemic.”

COVID-19 lockdowns dramatically altered human movement patterns, allowing researchers to study differences in human presence between 2019 and 2020. This enabled researchers to separate the effects of human presence on animal behavior from longer-term landscape changes such as urban development and agriculture.

The researchers measured the space that animals used and the variety of habitats they occupied and then applied statistical models to link these behaviors to human activity and environmental conditions.

Results showed that more than 65% of species changed their behavior based on the presence of humans, and that this human presence tended to matter most in less-developed, natural settings. But different species responded in different ways. Many reduced the amount of space they used, probably to avoid people, but others had the opposite response.

Gray wolves, for example, expanded their range, possibly traveling farther to steer clear of humans. Ravens also covered more ground, likely taking advantage of food sources linked to people, while coyotes tended to restrict their movements.

The study also found that individual animals could adjust their behavior from year to year, demonstrating some flexibility in response to changing human activity.

“Habitat loss is the key driver of biodiversity loss, but as we show, human’s direct use of the landscape — say for recreation — also mediates this effect,” Jetz said. “Depending on the quality of remaining habitat, animals make behavioral adjustments that either amplify or dampen the negative effects of habitat loss.”

The study highlights how new technologies, such as GPS tracking combined with satellite data and measures of human presence, can uncover new insights into how wildlife responds to humans.

The findings also suggest that in addition to habitat preservation, efforts to skillfully manage the timing and intensity of human activity — such as limiting traffic during key periods or reducing disturbance in sensitive habitats — may help wildlife and people coexist.

“The cutting-edge technology used in this study allows us to see, with unprecedented detail, how variable wildlife responses to human activities really are,” Yanco said. “This means that conservation strategies need to be very targeted, not one-size-fits-all.”

 

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Wildlife Report Calls for Better Human-Wildlife Management to End Conflicts

Stressing the need to strengthen human-wildlife conflict management across India in view of up to 32 wildlife species damaging life and property in this nation of 1.2 billion people, a recent study published in the July 2017 edition of Human Dimensions of Wildlife sought a better management approach to end the conflict.

The researchers have called for the identification of effective prevention techniques, strengthening existing compensation schemes, and an open inclusive dialogue between local communities, governments, and conservationists.

The authors of the study, “History, Location, and Species Matter: Insights for Human–Wildlife Conflict Mitigation,” are Dr. Krithi Karanth, conservation scientist with the Wildlife Conservation Society and Sahila Kudalkar, research associate with the Centre for Wildlife Studies.

The study examined the patterns of human-wildlife conflict and mitigation use by 5,196 families from 2011 to 2014 from 2855 villages neighboring 11 wildlife reserves across western, central, and southern India. The study was designed to help inform better policies to mitigate human-wildlife conflict.

Some of the results of the research are here:

Of the more than 5,000 households surveyed around 11 reserves in India, crops were lost by 71% of households, livestock by 17%, and human injury and death were reported by 3% of households.

Rural families use up to 12 different mitigation techniques to protect their crops, livestock and property. Night-time watch, scare devices, and fencing are the most common mitigation techniques used by rural families in the periphery of reserves.

Families near reserves in Karnataka and Madhya Pradesh were most likely to use mitigation. In recent years, these states have recorded high levels of damage by wildlife, and are among states that provide the highest compensation payments across India. In contrast, families in Rajasthan were least likely to protect crops and property.

Across wildlife reserves, people reported average crop losses amounting to Rs. 12,559 (US$194) , and Rs.2,883 (US$44)of livestock losses annually. Such losses constitute a significant chunk of India’s rural economy, where the majority of the population earns less than Rs. 5,000 (US$77) per month.

Said Dr. Karanth: “Resolving human-wildlife conflict requires revisiting the goals of conservation policies and investments by people and organizations. This is especially true with respect to effort and money deployed associated with mitigation and protection. People may be better served by deploying early warning, compensation and insurance programs rather than by focusing heavily on mitigation.”

Said Sahila Kudalkar, “Combined with high poverty, and low awareness regarding government compensation, such families may be most vulnerable to impacts of wildlife damage upon their livelihoods.”

The study was supported by DST Ramanujan Fellowship, National Geographic Society, National Science Foundation, and Rufford Foundation.