Using photogrammetry to create virtual permanent plots in rare and threatened plant communities

Author:

Tirrell Andrea J.12ORCID,Putnam Aaron E.23ORCID,Cianchette Michael I. J.1ORCID,Gill Jacquelyn L.12ORCID

Affiliation:

1. School of Biology and Ecology University of Maine Orono Maine 04469 USA

2. Climate Change Institute University of Maine Orono Maine 04469 USA

3. School of Earth and Climate Sciences University of Maine Orono Maine 04469 USA

Abstract

AbstractPremiseMany plant communities across the world are undergoing changes due to climate change, human disturbance, and other threats. These community‐level changes are often tracked with the use of permanent vegetative plots, but this approach is not always feasible. As an alternative, we propose using photogrammetry, specifically photograph‐based digital surface models (DSMs) developed using structure‐from‐motion, to establish virtual permanent plots in plant communities where the use of permanent structures may not be possible.MethodsIn 2021 and 2022, we took iPhone photographs to record species presence in 1‐m2 plots distributed across alpine communities in the northeastern United States. We then compared field estimates of percent coverage with coverage estimated using DSMs.ResultsDigital surface models can provide effective, minimally invasive, and permanent records of plant species presence and percent coverage, while also allowing managers to mark survey locations virtually for long‐term monitoring. We found that percent coverage estimated from DSMs did not differ from field estimates for most species and substrates.DiscussionIn order to continue surveying efforts in areas where permanent structures or other surveying methods are not feasible, photogrammetry and structure‐from‐motion methods can provide a low‐cost approach that allows agencies to accurately survey and record sensitive plant communities through time.

Publisher

Wiley

Subject

Plant Science,Ecology, Evolution, Behavior and Systematics

Reference43 articles.

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1. Advances in plant imaging across scales;Applications in Plant Sciences;2023-09

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