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Connor M. Wood

Cornell University · US
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Area of research
Ecology · Ecological Modeling
Research interest
Research interests include Species Distribution and Climate Change, Animal Vocal Communication and Behavior, Rangeland and Wildlife Management, and Wildlife Ecology and Conservation.
h-index
21
citations
2,217
works
99
NIH funding
primary concept
email

Recent publications

Bioregional‐scale acoustic monitoring can support fire‐prone forest restoration planning
Frontiers in Ecology and the Environment 2025cited by 11position: lastdoi
Assessing spatial variability and efficacy of surrogate species at an ecosystem scale
Conservation Biology 2025cited by 9position: lastdoi
Guidelines for appropriate use of BirdNET scores and other detector outputs
Journal für Ornithologie 2024cited by 98position: firstdoi
A scalable and transferable approach to combining emerging conservation technologies to identify biodiversity change after large disturbances
Journal of Applied Ecology 2024cited by 28position: firstdoi
Can the Hermit Warbler ( Setophaga occidentalis ) serve as an old-forest indicator species in the Sierra Nevada?
Journal of Field Ornithology 2024cited by 13position: lastdoi
Passive acoustic monitoring provides a fresh perspective on fundamental ecological questions
Functional Ecology 2023cited by 206position: middledoi
Feature embeddings from the BirdNET algorithm provide insights into avian ecology
Ecological Informatics 2023cited by 52position: lastdoi
Passive acoustic surveys and the BirdNET algorithm reveal detailed spatiotemporal variation in the vocal activity of two anurans
Bioacoustics 2023cited by 38position: firstdoi
Pairing a user‐friendly machine‐learning animal sound detector with passive acoustic surveys for occupancy modeling of an endangered primate
American Journal of Primatology 2023cited by 32position: firstdoi
Estimating population size for California spotted owls and barred owls across the Sierra Nevada ecosystem with bioacoustics
Ecological Indicators 2023cited by 32position: middledoi
Quail on fire: changing fire regimes may benefit mountain quail in fire-adapted forests
Fire Ecology 2023cited by 31position: lastdoi
The machine learning–powered BirdNET App reduces barriers to global bird research by enabling citizen science participation
PLoS Biology 2022cited by 74position: firstdoi
Arresting the spread of invasive species in continental systems
Frontiers in Ecology and the Environment 2022cited by 28position: middledoi
BirdNET: A deep learning solution for avian diversity monitoring
Ecological Informatics 2021cited by 785position: middledoi
Survey coverage, recording duration and community composition affect observed species richness in passive acoustic surveys
Methods in Ecology and Evolution 2021cited by 80position: firstdoi
Using the ecological significance of animal vocalizations to improve inference in acoustic monitoring programs
Conservation Biology 2020cited by 57position: firstdoi
Detecting small changes in populations at landscape scales: a bioacoustic site-occupancy framework
Ecological Indicators 2018cited by 99position: firstdoi

Grants

No grants ingested yet.

Frequent collaborators

Stefan Kahl · Cornell University12 papers (2021–2025)M. Zachariah Peery · University of Wisconsin–Madison11 papers (2018–2025)Holger Klinck · Oregon Department of Fish and Wildlife8 papers (2018–2024)Sarah C. Sawyer · University of California System5 papers (2018–2024) · 5 papers (2018–2025)H. Anu Kramer · University of Wisconsin–Madison3 papers (2022–2025)RJ Gutiérrez · University of Wisconsin–Madison3 papers (2022–2023)Kristin M. Brunk · University of Oslo3 papers (2023–2025)Kate McGinn · University of New Mexico3 papers (2023–2024) · 3 papers (2022–2024)C. Alina Cansler · Seattle University2 papers (2023–2024)R. J. Gutiérrez · Catholic University of the Maule2 papers (2018–2020) · 2 papers (2023–2025) · 2 papers (2021–2024) · 2 papers (2022–2023) · 1 papers (2022–2022) · 1 papers (2021–2021) · 1 papers (2023–2023) · 1 papers (2020–2020)Ashakur Rahaman · Cornell University1 papers (2022–2022)
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