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1 July 2017 High-Temporal Resolution Photography for Observing Riparian Area Use and Grazing Behavior
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Abstract

Observation is a simple method of acquiring information and is a critical step in the scientific method for both developing and investigating testable hypotheses. Cameras have long played a role in observation, and as technology advances, new tools and methods for collecting, interrogating, and displaying large quantities of high-resolution images have evolved. We describe an automated digital time-lapse camera system and present an example field deployment to observe the temporal and spatial patterns of riparian use by humans and animals during a 3-mo period. We also describe software tools for image interrogation and visualization, as well as new information gathered through their use. The system was tested in 2014, in a 2.4-ha site within the Apache-Sitgreaves National Forest in east central Arizona, United States where elk (Cervus elaphus nelsoni) and cattle grazed. Photographs were taken every 30 sec for 38 d, afterwhich an electric fencewas installed to restrict cattle access and the time step was increased to every 3 min. We observed that elk exhibited the unique behavior of standing in and traveling within the streamchannelwhile grazing and tended to graze and lie in close proximity to the channel. Cattle drank from, but typically did not enter, the stream channel and tended to lie away fromthe channel. Recreational use by people had the distinct impact of dispersing elk fromthe riparian corridor. Zoomable time-lapse videos allowed us to observe that in contrast to the cattle, elk grazedwhile lying down. High-temporal resolution photography is a practical tool for observing phenomena that are important for local resource management.

Published by Elsevier Inc. on behalf of The Society for Range Management.
M.H. Nichols, G.B. Ruyle, and P. Dille "High-Temporal Resolution Photography for Observing Riparian Area Use and Grazing Behavior," Rangeland Ecology and Management 70(4), 418-421, (1 July 2017). https://doi.org/10.1016/j.rama.2017.01.001
Received: 22 July 2016; Accepted: 1 January 2017; Published: 1 July 2017
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