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Organized Oral Session

Session: : Advances in Ecological Research Using Remotely-Sensed Earth Observations

OOS 59-4 - Using bioacoustics to fuse species distributions with fire risk and forest restoration in the Sierra Nevada

Thursday, August 10, 2023

2:15 PM – 2:30 PM PDT

Location: 256

Presenting Author(s)

KB

Kristin Brunk

Postdoc
K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology, United States

Co-author(s)

JG

Joshua Goldberg

Postdoc
Rocky Mountain Research Station
CM

Charles Maxwell

Research Associate
Oregon State University
GJ

Gavin Jones

Research Ecologist
Rocky Mountain Research Station
MP

M Zachariah Peery

Professor
University of Wisconsin, Madison
CW

Connor Wood

Research Associate
K. Lisa Yang Center for Conservation Bioacoustics, Cornell Lab of Ornithology
Ithaca, New York, United States

A warming climate and rapid land-use change have altered disturbance regimes globally, and, in the dry forests of western North America, managers face increasingly critical and time-sensitive trade-offs when planning forest restoration activities. However, identifying and balancing potential trade-offs between forest restoration goals and biodiversity conservation is hindered by mismatches between existing wildlife ecology research and forestry metrics that can hamper managers’ ability to utilize existing information in decision-making. Here, we (1) determine the occupancy of ten avian indicator species across the entire Sierra Nevada ecosystem using passive acoustic monitoring at an unprecedented spatial scale and (2) directly link species’ distributions to forestry metrics and fire risk using a novel habitat dataset that is congruent with the metrics used by managers in forest restoration planning. We found that the ten species responded to habitat and fire risk idiosyncratically, which provides insight into the diversity of restoration and management strategies that will be necessary to protect the unique and varied forest communities of the Sierra Nevada. This work navigates the space between conservation research and regional planning and provides actionable information for managers seeking to understand species distributions relative to wildfire risk in the context of adaptive management and evidence-based conservation.