Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches

Expanding NEON biodiversity surveys with new instrumentation and machine learning approaches

Abstract A core goal of the National Ecological Observatory Network (NEON) is to measure changes in biodiversity across the 30‐yr horizon of the network. In contrast to NEON’s extensive use of automated instruments to collect environmental data, NEON’s biodiversity surveys are almost entirely conduc...

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Bibliographic Details
Main Authors: Justin Kitzes, Rachael Blake, Sara Bombaci, Melissa Chapman, Sandra M. Duran, Tao Huang, Maxwell B. Joseph, Samuel Lapp, Sergio Marconi, William K. Oestreich, Tessa A. Rhinehart, Anna K. Schweiger, Yiluan Song, Thilina Surasinghe, Di Yang, Kelsey Yule
Format: Article
Language:English
Published: Wiley 2021-11-01
Series:Ecosphere
Subjects:
biogeography
deep learning
macroecology
monitoring
neural network
sensor
Online Access:https://doi.org/10.1002/ecs2.3795

Internet

https://doi.org/10.1002/ecs2.3795

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