AMM onitor : Remote monitoring of biodiversity in an adaptive framework with r-Reference-Cited by-同舟云学术

AMM onitor : Remote monitoring of biodiversity in an adaptive framework with r

Published:2020-05-03 Issue:7 Volume:11 Page:869-877
ISSN:2041-210X
Container-title:Methods in Ecology and Evolution
language:en
Short-container-title:Methods Ecol Evol

Author:

Balantic Cathleen¹^ORCID,Donovan Therese²^ORCID

Affiliation:

1. Vermont Cooperative Fish and Wildlife Research Unit University of Vermont Burlington VT USA

2. Vermont Cooperative Fish and Wildlife Research Unit U.S. Geological Survey Rubenstein School of Environment and Natural Resources University of Vermont Burlington VT USA

Funder

National Park Service

U.S. Bureau of Land Management

U.S. Geological Survey

University of Vermont

Publisher

Wiley

Subject

Ecological Modelling,Ecology, Evolution, Behavior and Systematics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/2041-210X.13397

Reference33 articles.

1. Adaptive Management

2. Emerging technologies for biological recording

3. Temporally adaptive acoustic sampling to maximize detection across a suite of focal wildlife species

4. Statistical learning mitigation of false positives from template-detected data in automated acoustic wildlife monitoring

5. Dynamic wildlife occupancy models using automated acoustic monitoring data;Balantic C. M.;Ecological Applications,2019

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3. A workflow for the automated detection and classification of female gibbon calls from long-term acoustic recordings;Frontiers in Ecology and Evolution;2023-02-09

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